googleVis/0000755000176200001440000000000013032171320012200 5ustar liggesusersgoogleVis/inst/0000755000176200001440000000000013032146654013171 5ustar liggesusersgoogleVis/inst/mansections/0000755000176200001440000000000012737123564015522 5ustar liggesusersgoogleVis/inst/mansections/GoogleChartToolsURLConfigOptions.txt0000644000176200001440000000014412737123564024566 0ustar liggesusers\url{https://developers.google.com/chart/interactive/docs/gallery/CHARTNAME#Configuration_Options} googleVis/inst/mansections/gvisOutputStructure.txt0000644000176200001440000000263412737123564022402 0ustar liggesusers"\code{gvis}" and "\code{list}". An object of class "\code{gvis}" is a list containing at least the following components: \describe{ \item{\code{type}}{Google visualisation type} \item{\code{chartid}}{character id of the chart object. Unique chart ids are required to place several charts on the same page. } \item{\code{html}}{a list with the building blocks for a page \describe{ \item{\code{header}}{a character string of a html page header: \code{...},} \item{\code{chart}}{a named character vector of the chart's building blocks: \describe{ \item{\code{jsHeader}}{Opening \code{}. } \item{\code{jsChart}}{Call of the \code{jsDisplayChart} function. } \item{\code{divChart}}{\code{
} container to embed the chart into the page. } } } \item{\code{caption}}{character string of a standard caption, including data name and chart id. } \item{\code{footer}}{character string of a html page footer: \code{...}, including the used R and googleVis version and link to Google's Terms of Use.} }} } googleVis/inst/mansections/gvisOptions.txt0000644000176200001440000000437512737123564020620 0ustar liggesusersThe parameters can be set via a named list. The parameters have to map those of the Google documentation. \itemize{ \item{Boolean arguments are set to either \code{TRUE} or \code{FALSE}, using the R syntax. } \item{Google API parameters with a single value and with names that don't include a "." are set like one would do in R, that is \code{options=list(width=200, height=300)}. Exceptions to this rule are the width and height options for \code{\link{gvisAnnotatedTimeLine}} and \code{\link{gvisAnnotationChart}}. For those two functions, width and height must be character strings of the format \code{"Xpx"}, where \code{X} is a number, or \code{"automatic"}. For example, \code{options=list(width="200px", height="300px")}. } \item{Google API parameters with names that don't include a ".", but require multivalues are set as a character, wrapped in "[ ]" and separated by commas, e.g. \code{options=list(colors="['#cbb69d', '#603913', '#c69c6e']")} } \item{Google API parameters with names that do include a "." present parameters with several sub-options and have to be set as a character wrapped in "{ }". The values of those sub-options are set via parameter:value. Boolean values have to be stated as \code{'true'} or \code{'false'}. For example the Google documentaion states the formating options for the vertical axis and states the parameter as \code{vAxis.format}. Then this paramter can be set in R as: \code{options=list(vAxis="{format:'#,###\%'}")}. } \item{If several sub-options have to be set, e.g. \code{titleTextStyle.color}, \code{titleTextStyle.fontName} and \code{titleTextStyle.fontSize}, then those can be combined in one list item such as: \code{options=list(titleTextStyle="{color:'red', fontName:'Courier', fontSize:16}")} } \item{paramters that can have more than one value per sub-options are wrapped in "[ ]". For example to set the labels for left and right axes use: \code{options=list(vAxes="[{title:'val1'}, {title:'val2'}]")} } \item{\code{gvis.editor}}{ a character label for an on-page button that opens an in-page dialog box enabling users to edit, change and customise the chart. By default no value is given and therefore no button is displayed. } } For more details see the Google API documentation and the R examples below. googleVis/inst/mansections/GoogleChartToolsURL.txt0000644000176200001440000000011512737123564022062 0ustar liggesusers\url{http://developers.google.com/chart/interactive/docs/gallery/CHARTNAME} googleVis/inst/CITATION0000644000176200001440000000127413032144216014322 0ustar liggesuserscitHeader("To cite the googleVis package in publications use:") citEntry(entry="Article", title = "googleVis: Interface between R and the Google Visualisation API", author = personList(as.person("Markus Gesmann"), as.person("Diego de Castillo")), journal = "The R Journal", year = 2011, volume = 3, number = 2, pages = "40--44", month = "December", url= "https://journal.r-project.org/archive/2011-2/RJournal_2011-2_Gesmann+de~Castillo.pdf", textVersion = paste("Markus Gesmann and Diego de Castillo.", "Using the Google Visualisation API with R.", "The R Journal, 3(2):40-44, December 2011.")) googleVis/inst/gadgets/0000755000176200001440000000000012737123564014615 5ustar liggesusersgoogleVis/inst/gadgets/gadgets.R0000644000176200001440000001463212737123564016364 0ustar liggesusers## Move into the inst/gadget folder before you run this script! Motion=gvisMotionChart(Fruits, idvar="Fruit", timevar="Year", options=list(height=350, width=400)) cat(createGoogleGadget(Motion), file="motionchart.xml") ## Geo Map with coloured regions Geo=gvisGeoMap(Exports, locationvar="Country", numvar="Profit", options=list(dataMode='regions')) cat(createGoogleGadget(Geo), file="geomap.xml")# ## Show Hurricane Andrew (1992) storm track with Geo Map AndrewGeo <- gvisGeoMap(Andrew, locationvar="LatLong", numvar="Speed_kt", hovervar="Category", options=list(height=250, width=400, region="US")) cat(createGoogleGadget(AndrewGeo), file="andrewgeomap.xml") ## Hurricane Andrew (1992) storm track with Google Maps AndrewMap <- gvisMap(Andrew, "LatLong" , "Tip", options=list(showTip=TRUE, showLine=TRUE, enableScrollWheel=TRUE, mapType='terrain', useMapTypeControl=TRUE)) cat(createGoogleGadget(AndrewMap), file="andrewmap.xml") ## Geo Chart GeoChart <- gvisGeoChart(Exports, "Country", "Profit", options=list(region="150")) cat(createGoogleGadget(GeoChart), file="geochart.xml") ## Table. Click on the column header to sort the rows Table <- gvisTable(Exports, options=list(width=400, height=270)) cat(createGoogleGadget(Table), file="table.xml") ## Table with embedded links PopTable <- gvisTable(Population, options=list(width=600, height=300, page='enable')) cat(createGoogleGadget(PopTable), file="poptable.xml") ## Tree Map. Left mouse-click to drill down, right mouse-click to move up a hierarchy Tree <- gvisTreeMap(Regions, "Region", "Parent", "Val", "Fac", options=list(fontSize=16, width=400, height=300)) cat(createGoogleGadget(Tree), file="treemap.xml") require(datasets) states <- data.frame(state.name, state.area) states3 <- data.frame(state.region, state.division, state.name, state.area) regions <- aggregate(list(region.area=states3$state.area), list(region=state.region), sum) divisions <- aggregate(list(division.area=states3$state.area), list(division=state.division, region=state.region), sum) my.states3 <- data.frame(regionid=c("USA", as.character(regions$region), as.character(divisions$division), as.character(states3$state.name)), parentid=c(NA, rep("USA", 4), as.character(divisions$region), as.character(states3$state.division)), state.area=c(sum(states3$state.area), regions$region.area, divisions$division.area, states3$state.area)) my.states3$state.area.log=log(my.states3$state.area) statesTree3 <- gvisTreeMap(my.states3, "regionid", "parentid", "state.area", "state.area.log", options=list(showScale=TRUE, width=400, height=300)) cat(createGoogleGadget(statesTree3), file="statestreemap.xml") ## Annotated Time Line Chart AnnoTimeLine <- gvisAnnotatedTimeLine(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list(displayAnnotations=TRUE, legendPosition='newRow', width=400, height=250) ) cat(createGoogleGadget(AnnoTimeLine), file="annotimeline.xml") ## Sample data df=data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val2=c(23,12,32)) ## Line chart Line <- gvisLineChart(df, options=list(legend='none', width=300, height=200)) cat(createGoogleGadget(Line), file="linechart.xml") ## Bar chart Bar <- gvisBarChart(df, options=list(legend='none', width=300, height=200)) cat(createGoogleGadget(Bar), file="barchart.xml") ## Column chart Column <- gvisColumnChart(df, options=list(legend='none', width=300, height=200)) cat(createGoogleGadget(Column), file="columnchart.xml") ## Area chart Area <- gvisAreaChart(df, options=list(legend='none', width=300, height=300)) cat(createGoogleGadget(Area), file="areachart.xml") ## Stepped Area Chart SteppedArea <- gvisSteppedAreaChart(df, xvar="country", yvar=c("val1", "val2"), options=list(isStacked=TRUE, width=300, height=290)) plot(SteppedArea) cat(createGoogleGadget(Area), file="steppedareachart.xml") ## Scatter chart Scatter <- gvisScatterChart(women, options=list(legend="none", lineWidth=2, pointSize=0, title="Women", vAxis="{title:'weight (lbs)'}", hAxis="{title:'height (in)'}", width=300, height=300)) cat(createGoogleGadget(Scatter), file="scatterchart.xml") ## Bubble chart Bubble <- gvisBubbleChart(Fruits, idvar="Fruit", xvar="Sales", yvar="Expenses", colorvar="Year", sizevar="Profit", options=list(hAxis='{minValue:75, maxValue:125}', width=500, height=300)) cat(createGoogleGadget(Bubble), file="bubblechart.xml") ## Pie chart Pie <- gvisPieChart(CityPopularity, options=list(width=400, height=200)) cat(createGoogleGadget(Pie), file="piechart.xml") ## Gauge Gauge <- gvisGauge(CityPopularity, options=list(min=0, max=800, greenFrom=500, greenTo=800, yellowFrom=300, yellowTo=500, redFrom=0, redTo=300, width=300, height=220)) cat(createGoogleGadget(Gauge), file="gauge.xml") ## Intensity Map Intensity <- gvisIntensityMap(df) cat(createGoogleGadget(Intensity), file="intensitymap.xml") ## Org chart Org <- gvisOrgChart(Regions, options=list(width=600, height=210, size='large', allowCollapse=TRUE)) cat(createGoogleGadget(Org), file="orgchart.xml") ## Candlestick chart Candle <- gvisCandlestickChart(OpenClose, xvar="Weekday", low="Low", open="Open", close="Close", high="High", options=list(legend='none', width=300, height=250)) cat(createGoogleGadget(Candle), file="candlestickchart.xml") googleVis/inst/rsp/0000755000176200001440000000000012737123564014003 5ustar liggesusersgoogleVis/inst/rsp/index.rsp0000644000176200001440000001367612737123564015655 0ustar liggesusers <%title="Using the Google visualisation API with R"%> <%@include file="src/simpleHead.rsp"%> <%@include file="src/simpleHeader.rsp"%> <%require(googleVis)%>

Welcome

Welcome to googleVis version <%=packageDescription("googleVis")$Version%> by: Markus Gesmann and Diego de Castillo

Introduction

googleVis is a package for R which provides functions to visualise data in R with the Google Visualisation API.
Please read Google's terms of use and data policy.
The visual output will be rendered in your browser using Flash.

Type ?googleVis in the R console to see the overall documentation and vignette('googleVis') to access the package vignette.
This page provides some examples of the package. You find more as part of the demo; to execute the demo type into the R console: demo(googleVis).

Embedding googleVis charts into your web page with R.rsp

The R package R.rsp provides a lightweight web-server which we are using here to display these pages. Additionally the R.rsp package allows us to dynamically generate documents into static content using R Server Pages. This means we can mix html and R code to create content on the fly.

For more information on R.rsp see here.

Examples with googleVis

You can embed googleVis charts quite easily in your rsp page.

For example 

<%=gvisGeoMap(Exports, locationvar='Country',
numvar='Profit',options=list(height=350,
dataMode='regions'))$html$chart%>
gives you a Geo Map:

<%=gvisGeoMap(Exports, locationvar='Country', numvar='Profit',options=list(height=350, dataMode='regions'))$html$chart%> See also: Google Geo Map API

A Google Map can be create e.g. via 

<%=gvisMap(Andrew, "LatLong" , "Tip", options=list(showTip=TRUE,
showLine=TRUE, enableScrollWheel=TRUE,  mapType='terrain',
useMapTypeControl=TRUE))$html$chart%>

<%=gvisMap(as.list(Andrew), "LatLong" , "Tip", options=list(showTip=TRUE, showLine=TRUE, enableScrollWheel=TRUE, mapType='terrain', useMapTypeControl=TRUE))$html$chart%> See also: Google Map API

For a Motion Chart we would write something like 

<%=gvisMotionChart(Fruits, idvar="Fruit", timevar="Year",
options=list(width=600, height=500))$html$chart%>

<%=gvisMotionChart(Fruits, idvar="Fruit", timevar="Year", options=list(width=600, height=500))$html$chart%> See also: Google Motion Chart API

A Tree Map can be generated with 

<%=gvisTreeMap(Regions, idvar="Region", parentvar="Parent",
sizevar="Val", colorvar="Fac", options=list(width=600, height=500,
showScale=TRUE, fontSize=16))$html$chart%>

<%=gvisTreeMap(Regions, "Region", "Parent", "Val", "Fac", options=list(width=600, height=500, showScale=TRUE, fontSize=16))$html$chart%> See also: Google Tree Map API

To display a Table we write 

<%=gvisTable(Exports, options=list(width=600, height=300))$html$chart%>

<%=gvisTable(Exports, options=list(width=600, height=300))$html$chart%> See also: Google Table API

For an Annotated Time Line an example could look like 

<%=gvisAnnotatedTimeLine(Stock, datevar="Date", numvar="Value",
idvar="Device",  titlevar="Title", annotationvar="Annotation",
options=list(displayAnnotations=TRUE, width=600, height=350))$html$chart%>

<%=gvisAnnotatedTimeLine(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list(displayAnnotations=TRUE, width=600, height=350))$html$chart%> See also: Google Annotated Time Line API

We hope these examples show you how you can generate content with functions from the googleVis packages.

If a page is loading "forever", that is, the internal web server seems to be stuck, try to press ENTER in the main R window. This normally helps. <%@include file="src/simpleFooter.rsp"%> googleVis/inst/rsp/src/0000755000176200001440000000000013032146660014561 5ustar liggesusersgoogleVis/inst/rsp/src/simpleHeader.rsp0000755000176200001440000000137212737123564017730 0ustar liggesusers<%-- H e a d e r --%> <% uri <- getRequestUri(request); uriPath <- strsplit(uri, split="/")[[1]][-1]; if (regexpr("./$", uri) != -1) { upPath <- "../"; } else if (regexpr("./index.rsp$", uri) != -1) { upPath <- "../"; uriPath <- uriPath[-length(uriPath)]; } else { upPath <- "index.rsp"; uriPath <- uriPath[-length(uriPath)]; } %>
~ / <% for (kk in seq(length=length(uriPath))) { %> /"><%=uriPath[kk]%> / <% } %>
Admin: shutdown

googleVis/inst/rsp/src/simpleFooter.rsp0000755000176200001440000000067512737123564020003 0ustar liggesusers<%-- F o o t e r --%>
Generated on <%=date()%> with googleVis.
Powered by R.rsp v<%=getVersion(R.rsp)%>.
googleVis/inst/rsp/src/simpleHead.rsp0000755000176200001440000000044512737123564017401 0ustar liggesusers googleVis/inst/rsp/myAnalysis/0000755000176200001440000000000012737123564016134 5ustar liggesusersgoogleVis/inst/rsp/myAnalysis/index.rsp0000644000176200001440000000124612737123564017774 0ustar liggesusers <%title="Google Motion Chart Pages"%> <%@include file="../src/simpleHead.rsp"%> <%@include file="../src/simpleHeader.rsp"%>

By default the googleVis package will store its output in this directory.

Current files: <%@include file="../src/simpleFooter.rsp"%> googleVis/inst/shiny/0000755000176200001440000000000012737123564014331 5ustar liggesusersgoogleVis/inst/shiny/ui.R0000644000176200001440000000034712737123564015075 0ustar liggesusersshinyUI(pageWithSidebar( headerPanel("googleVis on Shiny"), sidebarPanel( selectInput("dataset", "Choose a dataset:", choices = c("rock", "pressure", "cars")) ), mainPanel( htmlOutput("view") ) ))googleVis/inst/shiny/server.R0000644000176200001440000000054112737123564015762 0ustar liggesuserslibrary(googleVis) shinyServer(function(input, output) { datasetInput <- reactive({ switch(input$dataset, "rock" = rock, "pressure" = pressure, "cars" = cars) }) output$view <- renderGvis({ gvisScatterChart(datasetInput(), options=list(title=paste('Data:',input$dataset))) }) })googleVis/inst/doc/0000755000176200001440000000000013032146654013736 5ustar liggesusersgoogleVis/inst/doc/googleVis.Rnw0000644000176200001440000015415013032146654016372 0ustar liggesusers\documentclass{article} \usepackage[T1]{fontenc} \usepackage{Sweave} \usepackage{thumbpdf} \usepackage{url} %\usepackage{wrapfig} \usepackage{hyperref} \hypersetup{ pdftitle={Introduction to googleVis},% pdfauthor={Markus Gesmann},% } %\VignetteEngine(Sweave) %!\VignetteEncoding{UTF-8} %\VignetteIndexEntry{Introduction to googleVis} %\VignetteDepends{googleVis} %\VignetteKeywords{google, visualisation, api} %\VignettePackage{googleVis} \SweaveOpts{engine=R, eps=FALSE, keep.source = TRUE} <>= options(prompt = "R> ", digits = 4, show.signif.stars = FALSE) @ %\keywords{google, visualisation, api, \proglang{R}} \setlength{\parindent}{0.0in} \setlength{\parskip}{2mm} \newcommand{\googleVis}{\textbf{\texttt{googleVis}} } \newcommand{\knitr}{\textbf{\texttt{knitr}} } \newcommand{\rsp}{\textbf{\texttt{R.rsp }}} \newcommand{\brew}{\textbf{\texttt{brew }}} \newcommand{\rapache}{\emph{{RApache }}} \newcommand{\Rook}{\emph{{Rook }}} \newcommand{\shiny}{\textbf{\texttt{shiny }}} \renewcommand{\familydefault}{\sfdefault} \begin{document} \SweaveOpts{concordance=TRUE} \author{Markus Gesmann\footnote{markus.gesmann@gmail.com}, Diego de Castillo\footnote{decastillo@gmail.com}} \title{Introduction to googleVis \Sexpr{packageDescription("googleVis")[['Version']]} } \maketitle \begin{abstract} The \googleVis package provides an interface between R and the Google Charts API. Google Charts offer interactive charts which can be embedded into web pages. The best known of these charts is probably the Motion Chart, popularised by Hans Rosling in his TED talks. The functions of the \googleVis package allow the user to visualise data stored in R data frames with Google Charts without uploading the data to Google. The output of a \googleVis function is HTML code that contains the data and references to JavaScript functions hosted by Google. googleVis makes use of the internal R HTTP server to display the output locally. A modern browser with an Internet connection is required and for some charts a Flash player. \end{abstract} \clearpage \tableofcontents \clearpage \section{Introduction}\label{sec:Intro} \subsection{Motivation}\label{sec:Motivation} More and more data is becoming available, and yet stories and insights are still often missed: we are lost in the data jungle and struggle to see the wood for the trees. Hence, new tools are required to bring data to life, to engage with users, to enable them to slice and dice the data, to view it from various angles and to find stories worth telling: outliers, trends or even the obvious. In 2006 Hans Rosling gave an inspiring talk at TED~\cite{HansRoslingTedTalk} about social and economic developments in the world over the past 50 years, which challenged the views and perceptions of many listeners. Rosling had used extensive data analysis to reach his conclusions. To visualise his talk, he and his team at Gapminder~\cite{Gapminder} had developed animated bubble charts, aka motion charts, see Figure~\ref{MotionChartGUI}. Rosling's presentation popularised the idea and use of interactive charts. One year later the software behind Gapminder was bought by Google and integrated as motion charts into their Google Charts API~\cite{GoogleVisApi}, formerly known as Google Visualisation API. In 2010 Sebasti\'{a}n P\'{e}rez Saaibi~\cite{Saaibi2010} presented at the R/Rmetrics Workshop on Computational Finance and Financial Engineering, the idea to use Google motion charts to visualise R output with the \rsp package~\cite{Rsp}. Inspired by those talks and the desire to use interactive data visualisation tools to foster the dialogue between data analysts and others the authors of this vignette started the development of the \googleVis package~\cite{googleVis}, \cite{RJournal:2011-2:GesmannCastillo} in August 2010. \begin{figure}[t] \begin{center} \includegraphics[width=\textwidth]{./figures/MotionChart.pdf} \caption{ Overview of a Google Motion Chart. Screenshot of the output of \texttt{plot(gvisMotionChart(Fruits, idvar='Fruit', timevar='Year'))} }\label{MotionChartGUI} \end{center} \end{figure} %\clearpage \subsection{Google Chart Tools}\label{sec:GoogleChartTools} The Google Charts API~\cite{GoogleVisApi} allows users to create interactive charts as part of Google documents, spreadsheets and web pages. In this text, we will focus on the usage of the API as part of web pages. The Google Public Data Explorer~\cite{GooglePublicData} provides a good example, demonstrating the use of interactive charts and how they can help to analyse data. Please note, that all of those charts are rendered by the browser. The charting data can either be embedded into the HTML file or read dynamically. The key to the Google Charts is that the data is structured in a DataTable~\cite{DataTable}, and this is where the \googleVis package helps, as it transforms R data frames into JSON~\cite{json} objects, using the \texttt{\textbf{jsonlite}} package~\cite{jsonlite}, as the basis for a DataTable. As an example we shall look at the html-code of a motion chart from Google's visualisation gallery~\cite{GoogleMotionChart}, which generates output similar to Figure~\ref{MotionChartGUI}: \begin{small}\label{motionchartcodeexample} \begin{verbatim} 1 2 3 6 30 31 32
34
35 36 \end{verbatim} \end{small} The code and data are processed and rendered by the browser and is not submitted to any server\footnote{\url{https://google-developers.appspot.com/chart/interactive/docs/gallery/motionchart.html\#Data\_Policy}}. You will notice that the above HTML code has five generic parts\footnote{For more details see \url{https://google-developers.appspot.com/chart/interactive/docs/index}}: \begin{itemize} \item references to Google's AJAX (l. 4) and Visualisation API (ll. 7 -- 8), %%shown here as \verb=jsapi= and \verb='motionchart'=, \item data to visualise as a \verb=DataTable= (ll. 11 -- 24), \item an instance call to create the chart (ll. 25 -- 26), \item a method call to draw the chart including options, shown here as width and height (l. 27), \item an HTML \verb=
= element to add the chart to the page (ll. 32 -- 34). \end{itemize} These principles hold true for most of the interactive charts of the Google Chart Tools, see the examples in Figure~\ref{demos}. However, before you use the API you should read the \href{https://developers.google.com/terms/}{Google Terms of Service}~\cite{GoogleTerms}. \section{The \googleVis package}\label{sec:googleVisPackage} The \googleVis package provides an interface between R and the Google Chart Tools. The functions of the package allow the user to visualise data stored in R data frames with Google Charts. Version (\Sexpr{packageDescription("googleVis")[['Version']]}) of the package provides interfaces to Motion Charts, Annotated Time Lines, Maps, Geo Maps, Geo Charts, Intensity Maps, Tables, Gauges, Tree Maps, further Line, Bar, Bubble, Column, Area, Stepped Area, Combo, Scatter, Candlestick, Pie, Sankey, Annotation, Histogram, Timeline, Calendar and Org Charts; see Figure~\ref{demos} for some examples. The output of a \googleVis function is HTML code that contains the data and references to JavaScript functions hosted by Google. A browser with an Internet connection is required to view the output, and for Motion Charts, Geo Maps, and Annotated Time Lines also Flash. For Geo Maps and Annotated Time Lines HTML5 alternatives are available with Geo Charts and Annotation Charts. <>= ## Code for screen shot MC <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(width=500, height=300)) ATL <- gvisAnnotatedTimeLine(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list( width=300, height=300, fill=10, displayExactValues=TRUE, colors="['#0000ff','#00ff00']") ) Map <- gvisMap(Andrew, "LatLong" , "Tip", options=list(showTip=TRUE, showLine=TRUE, enableScrollWheel=TRUE, mapType='terrain', useMapTypeControl=TRUE, width=400, height=200)) Geo <- gvisGeoMap(Exports, locationvar='Country', numvar='Profit', options=list(dataMode="regions", width=400,height=200)) ## Table with enabled paging Table <- gvisTable(Population, options=list(page='enable', height=200, width=500)) Tree <- gvisTreeMap(Regions, "Region", "Parent", "Val", "Fac", options=list(width=300, height=200, fontSize=16, minColor='#EDF8FB', midColor='#66C2A4', maxColor='#006D2C', headerHeight=20, fontColor='black', showScale=TRUE)) M <- gvisMerge(gvisMerge(gvisMerge(MC, ATL, TRUE, tableOptions="cellspacing=10"), gvisMerge(Map, Geo, TRUE, tableOptions="cellspacing=10")), gvisMerge(Table, Tree, TRUE, tableOptions="cellspacing=10")) plot(M) @ \begin{figure}[t] \begin{center} \includegraphics[width=\textwidth]{./figures/googleVisDemoPlots.pdf} \caption{ Screenshot of some of the outputs of \texttt{demo(googleVis)}. Clockwise from top left: \texttt{gvisMotionChart}, \texttt{gvisAnnotatedTimeLine}, \texttt{gvisGeoMap}, \texttt{gvisTreeMap}, \texttt{gvisTable}, and \texttt{gvisMap}. }\label{demos} \end{center} \end{figure} \subsection{Installation}\label{sec:Installation} You can install \googleVis in the usual way from CRAN, e.g.: <>= install.packages('googleVis') @ The installation was successful if the command \texttt{library(googleVis)} gives you the following message: <>= library(googleVis) @ <>= library(googleVis) @ <>= cat(googleVis:::gvisWelcomeMessage()) @ \subsection{Using the \googleVis package}\label{sec:UsingGoogleVis} The individual functions of the \googleVis package are documented in the help pages. Here we will cover only the principles of the package. As an example, we will show how to generate a motion chart as displayed in Figure~\ref{MotionChartGUI}. It works similarly for the other APIs. Further examples are covered in the demos\footnote{See \texttt{demo(package="googleVis")} for a list of the available demos.} of the \googleVis package. The design of the visualisation functions is fairly generic. The name of the visualisation function is \texttt{'gvis' + ChartType}. So for the Motion Chart we have: \begin{verbatim} gvisMotionChart(data, idvar='id', timevar='date', options=list(), chartid) \end{verbatim} Here \texttt{data} is the input \texttt{data.frame} and \texttt{idvar} and \texttt{timevar} specify the column names of the id variable and time variable for the plot, while display options are set in an optional list, which we discuss in more detail on page~\pageref{settingoptions}. The options and data requirements follow those of the Google Charts API and are documented in the help pages, see <>= help('gvisMotionChart') @ \begin{figure}%{r}{0.35\textwidth} \begin{center} \includegraphics[width=0.34\textwidth]{./figures/gvisObject.pdf} \caption{Schematic structure of a gvis list object. }\label{gvisObject} \end{center} \end{figure} The argument \texttt{chartid} allows the user to set a chart id of the output chart manually. If the argument is missing a random id using \texttt{tempfile(pattern=\textquotesingle\textquotesingle)} will be generated. Unique chart ids are required to place more than one chart on a web page. The output of a \googleVis function is a list of lists (a nested list) containing information about the chart type, chart id and the HTML code in a sub-list with header, chart, caption and footer, see Figure~\ref{gvisObject}. The idea behind this concept is that users can get a complete web page, while at the same time offer a facility to extract specific parts, such as the chart itself. This is particularly helpful if the package functions are used in solutions where the user wants to feed the visualisation output into other sites, or would like to embed them into rsp-pages (see page~\pageref{rspexample}), use \rapache (see page~\pageref{rapacheexample}) or Google Gadgets. The output of a \googleVis function will be of class \texttt{'gvis'} and \texttt{'list'}. Generic print (\texttt{print.gvis}) and plot (\texttt{plot.gvis}) functions exist to ease the handling of such objects. To illustrate the concept we shall create a motion chart using the \texttt{Fruits} data set. \subsection{Motion Chart Example}\label{sec:MotionChartExample} Following the documentation of the Google Motion Chart API we need a data set which has at least four columns: one identifying the variable we would like to plot, one time variable and at least two numerical variables, further numerical and character columns are allowed. As an example we use the \texttt{Fruits} data set: <<>>= data(Fruits) Fruits @ Here we will use the columns \texttt{'Fruit'} and \texttt{'Year'} as id and time variable respectively. However we could have used \texttt{'Date'} instead of \texttt{'Year'} as well. <<>>= M <- gvisMotionChart(Fruits, idvar="Fruit", timevar="Year") @ The structural output of \texttt{gvisMotionChart} is a list of lists as described above <>= str(M) @ <>= ## This statement avoids truncation cat(paste(substring( capture.output( str(M) ) , 0, 66), sep="\n", collapse="\n")) @ The first two items of the list contain information about the chart type used and the individual chart id: %generated at run time from the chart %type and \texttt{tempfile(pattern=\textquotesingle\textquotesingle)}: <<>>= M$type M$chartid @ The html output is a list with header, chart, caption and footer. This allows the user to extract only certain parts of the page, or to create a complete html page. The header part of the html page has only basic html and formatting tags: <<>>= print(M, tag='header') @ Here we used the \texttt{print} statement with the tag \texttt{'header'} instead of \texttt{M\$html\$header} to achieve a formatted screen output. This is the same output as \texttt{cat(M\$html\$chart)}. The actual Google visualisation code is stored with the data as a named character vector in the \texttt{chart} item of the HTML list. The chart is made up of several JavaScript and HTML statements. Please notice that the JavaScript functions are uniquely named with the information of the chart id. This concept allows the user get all the chart code directly or only specific parts; see the examples in the help page of \texttt{print.gvis} for more details. <<>>= names(M$html$chart) @ The complete chart can be displayed via: <<>>= print(M, tag='chart') ## or cat(M$html$chart) @ Similarly you can also access specific components of the chart, e.g. (output truncated) <>= cat(M$html$chart['jsChart']) # or print(M, 'jsChart') @ <>= cat(paste(substring( capture.output( cat(M$html$chart['jsChart']) ) , 0, 66), sep="\n", collapse="\n")) @ A basic chart caption and html footer are the final items of the html list (output truncated): <>= print(M, tag='caption') @ <>= cat(paste(substring( capture.output( cat(M$html$caption) ) , 0, 66), sep="\n", collapse="\n")) @ <>= print(M, tag='footer') @ <>= cat(paste(substring( capture.output( cat(M$html$footer) ) , 0, 66), sep="\n", collapse="\n")) @ \subsection{Displaying \texttt{gvis} objects locally}\label{sec:DisplayLocally} To display the page locally, type: <>= plot(M) # returns invisibly the file name @ The plot method for \texttt{gvis}-objects creates HTML files in a temporary folder using the type and chart id information of the object and it will display the output using the R HTTP help web server locally, usually under http://127.0.0.1. Note that the chart caption provides a link to the chart code via the chart id for copy and paste. The R command \texttt{tempdir()} will show you the path of the per-session temporary directory, in which the files were written. You can write the chart into a local html file via the \texttt{print} command with the file argument, e.g. <>= print(M, file="myGoogleVisChart.html") @ Please note that Flash charts\footnote{Currently the following charts require Flash: motion chart, geo map and annotated time line} may not work when loaded as a local file due to security settings, and therefore require to be displayed via a web server. However, you can overcome this issue by changing your Flash security settings. Tony Breyal posted the following solution on \href{http://stackoverflow.com/questions/8009825/cannot-view-gvismotionchart-from-printed-html-file }{stackoverflow.com}: \begin{enumerate}\label{breyal} \item Go to \url{http://www.macromedia.com/support/documentation/en/flashplayer/help/settings_manager04.html} \item Click on the dropbox which says 'Edit location' and choose 'add location' \item Click 'browse for folder' \item Choose the folder in which you saved your HTML file \item Click OK \end{enumerate} Now open your \googleVis HTML file and it should display successfully. Alternatively use the function \texttt{plot.gvis} explicitly, e.g. suppose your html file is stored in \texttt{/Users/JoeBloggs/myGoogleVisChart.html}. Using the \texttt{plot.gvis} the file will be copied into a temporary directory and displayed via the R HTTP help server with, in the same way as a gvis-object: <>= plot.gvis("/Users/JoeBloggs/myGoogleVisChart.html") @ Please note that this feature of \texttt{plot.gvis} was introduced to \googleVis with version 0.3.2. \subsection{Setting default behaviour of \texttt{print.gvis} and \texttt{plot.gvis}}\label{sec:Options} In \googleVis version 0.3.2 the function \texttt{plot.gvis} gained the same argument as \texttt{print.gvis}: \texttt{tag}. By default the \texttt{tag} argument is set to \texttt{NULL} in \texttt{plot.gvis} and the plot function will display its output in a browser window. However, if \texttt{tag} is not \texttt{NULL} the function \texttt{plot.gvis} will behave exactly like \texttt{print.gvis}. The default \texttt{tag} can be set for both functions globally via the \texttt{options()} function. On package load \googleVis sets \texttt{options(gvis.print.tag='html')} and \texttt{options(gvis.plot.tag=NULL)}. Suppose you would set \texttt{options(gvis.plot.tag='chart')} then all following plot statements would print the chart part of the gvis-object only, without opening a browser window. This might seem a bit odd at first, yet it becomes helpful when you write R Markdown files for \knitr or files for other packages such as \textbf{\texttt{R.rsp}}. While you draft your file you may want to see the output of \googleVis in an interactive way, so you set \texttt{options(gvis.plot.tag=NULL)} at the top of the file and you change the setting to \texttt{'chart'} before you parse the file, say with \textbf{\texttt{knitr}}. This will ensure that all plot statements return the HTML code of the chart, rather than opening browser windows. Section~\ref{sec:knitr} on page~\pageref{sec:knitr} provides more details and a little \knitr example. \subsection{Combining charts with \texttt{gvisMerge}}\label{gvisMerge} The function \texttt{gvisMerge} takes two \texttt{gvis}-objects and merges the underlying components into one page. The charts are aligned either horizontally or vertically next to each other in an HTML table. \begin{figure}[ht] \begin{center} \includegraphics[width=0.8\textwidth]{./figures/gvisMerge.pdf} \caption{ Three charts combined with \texttt{gvisMerge}. }\label{gvisMerge} \end{center} \end{figure} The output of \texttt{gvisMerge} is a \texttt{gvis}-object again. This allows us to apply the same function iteratively to create more complex chart layouts. The following example, see Figure~\ref{gvisMerge}, aligns a geo chart and table below each other, and combines the output with a motion chart to the right: <<>>= G <- gvisGeoChart(Exports, "Country", "Profit", options=list(width=200, height=100)) T <- gvisTable(Exports, options=list(width=200, height=270)) M <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(width=400, height=370)) GT <- gvisMerge(G,T, horizontal=FALSE) GTM <- gvisMerge(GT, M, horizontal=TRUE, tableOptions="bgcolor=\"#CCCCCC\" cellspacing=10") @ <>= plot(GTM) @ \subsection{Setting options}\label{settingoptions} Setting the various options of a \googleVis objects can be a bit cumbersome at first. The options follow those of the Google Charts API and can be set via a named list using the argument \texttt{options}. In the following example, we create a line chart and set various options\footnote{Please refer to the help file of the individual \googleVis functions, as the options can vary from chart to chart.}, see the output in Figure~\ref{Options}. \begin{figure}[ht] \begin{center} \includegraphics[width=0.8\textwidth]{./figures/Options.pdf} \caption{ A line chart with various options set. }\label{Options} \end{center} \end{figure} <>= df <- data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val2=c(23,12,32)) Line <- gvisLineChart(df, xvar="country", yvar=c("val1","val2"), options=list( title="Hello World", titleTextStyle="{color:'red', fontName:'Courier', fontSize:16}", backgroundColor="#D3D3D3", vAxis="{gridlines:{color:'red', count:3}}", hAxis="{title:'Country', titleTextStyle:{color:'blue'}}", series="[{color:'green', targetAxisIndex: 0}, {color: 'orange',targetAxisIndex:1}]", vAxes="[{title:'val1'}, {title:'val2'}]", legend="bottom", curveType="function", width=500, height=300 )) plot(Line) @ As you can see from the example above, the simpler options can be set by name=value, e.g. width=500, while the more complex options with sub-components are listed in curly brackets \{\}, and arrays, e.g. to define the two axes, use square brackets [ ]. Generally, the following rules apply: \begin{itemize} \item parameters with names that do not include a "." are set with a single value, e.g. width and height. Those are set like one would do in R, that is \texttt{options=list(}\texttt{width=200,} \texttt{height=300)}. Boolean arguments are set to either \texttt{TRUE} or \texttt{FALSE}, using the R syntax. \item parameters with names that do not include a "." and are set with multiple values, e.g. \texttt{color}, and are wrapped in "[ ]", e.g. \texttt{options=list(} \texttt{colors="['\#cbb69d',} \texttt{'\#603913',} \texttt{'\#c69c6e']")} \item parameters with names that do include a "." present parameters with several sub-options and have to be set as a string wrapped in "\{ \}". The values of those sub-options are set via parameter:value. Boolean values have to be stated as \texttt{'true'} or \texttt{'false'}. For example the Google documentaion states the formating options for the vertical axis and states the parameter as \texttt{vAxis.format}. Then this paramter can be set in R as: \texttt{options=list(} \texttt{vAxis="\{format:'\#,\#\#\#\%'\}")}. \item If several sub-options have to be set, e.g. \texttt{titleTextStyle.color,} \texttt{title\-Text\-Style.\-fontName} and \texttt{titleTextStyle.fontSize}, then those can be combined in one list item such as: \texttt{options=list(} \texttt{titleTextStyle="\{color:'red',} \texttt{fontName:'Courier',} \texttt{fontSize:16\}")} \item paramters that can have more than one value per sub-options are wrapped in "[ ]". For example to set the labels for left and right axes use: \texttt{options=list(} \texttt{vAxes="[\{title:'val1'\},} \texttt{\{title:'val2'\}]")} \end{itemize} The following example set the colour axis of a geo chart, see Figure~\ref{geochart}: <>= Geo <- gvisGeoChart(CityPopularity, locationvar='City', colorvar='Popularity', options=list(region='US', height=350, displayMode='markers', colorAxis="{values:[200,400,600,800], colors:[\'red', \'pink\', \'orange',\'green']}") ) plot(Geo) @ \begin{figure}[ht] \begin{center} \includegraphics[width=0.8\textwidth]{./figures/gvisGeoChart.pdf} \caption{ A geo chart with options set for a colour axis.} \label{geochart} \end{center} \end{figure} \subsubsection{Chart Editor} A special option for all charts is \texttt{gvis.editor}, which adds an edit button to the page, allowing the user to edit, change and customise the chart on the fly, see the following example and Figure~\ref{Editor}. The content of the list item \texttt{gvis.editor} describes the label of the browser button\footnote{See also \url{https://google-developers.appspot.com/chart/interactive/docs/drawing\_charts\#charteditor}}. <>= Editor <- gvisLineChart(df, options=list(gvis.editor='Edit me!')) plot(Editor) @ \begin{figure}[ht] \begin{center} \includegraphics[width=0.8\textwidth]{./figures/Editor.pdf} \caption{ Example of \googleVis chart with \texttt{options = list (gvis.editor = 'Edit me!')}. }\label{Editor} \end{center} \end{figure} \subsubsection{Dealing with apostrophes in column names} The \googleVis package converts data frames into JSON objects. The column names of the resulting JSON tables are encapsulated with single speech marks, see lines 12 -- 16 of the code example on page~\pageref{motionchartcodeexample}. Hence apostrophes in column names of your input data frame have to be encapsulated by a double backslash. Here is a little example, see the output in Figure~\ref{fig:apostrophes}. <<>>= df <- data.frame("Year"=c(2009,2010), "Lloyd\\'s"=c(86.1, 93.3), "Munich Re\\'s R/I"=c(95.3, 100.5), check.names=FALSE) df CR <- gvisColumnChart(df, options=list(vAxis='{baseline:0}', title="Combined Ratio %", legend="{position:'bottom'}")) @ <>= plot(CR) @ \begin{figure}[t] \centering \includegraphics[width=0.5\textwidth]{./figures/Apostrophe.pdf} \caption{Visualising data with apostrophes in column names.} \label{fig:apostrophes} \end{figure} \section{Embedding \googleVis in web sites} \subsection{Integrating \texttt{gvis} objects in existing sites} Suppose you have an existing web page and would like to integrate the output of a \googleVis function, such as \texttt{gvisMotionChart}. In this case you only need the chart output from \texttt{gvisMotionChart}. So you can either copy and paste the output from the R console <>= print(M, 'chart') ## or cat(M$html$chart) @ or the browser, see previous section, into your existing html page, or write the content directly into a file <>= print(M, 'chart', file='myfilename') @ and process it from there. \subsection{Using \googleVis output with WordPress} \href{http://wordpress.org/}{WordPress} is a popular web software for creating websites and blogs. Here we give some tips about the usage with \googleVis output. By default WordPress does not allow JavaScript code (and hence \googleVis output) to be inserted into a page. However, additional plugins allow you to extend the functions of WordPress. One option of embedding JavaScript code inside a WordPress post is to use the ``custom fields shortcode'' plugin\footnote{\url{http://wordpress.org/extend/plugins/custom-fields-shortcode}}. The plugin allows you to create a custom field for the \googleVis code, which can be referred to in your article. Suppose you created a motion chart in R: <>= M <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(width=400, height=370)) @ Copy the chart code, e.g. from <>= print(M, 'chart') @ and paste it into the value text area of a custom field in WordPress, e.g. with instance name \texttt{Fruits}. To include the motion chart into your article add \texttt{[cf]Fruits[/cf]} into the post, see Figure~\ref{wordpress} for an illustration. \begin{figure}[t] \centering \includegraphics[width=0.8\textwidth]{./figures/CreatePost.pdf} \caption{Including \googleVis output in a WordPress blog entry.} \label{wordpress} \end{figure} \subsection{Using \googleVis output with Google Sites, Blogger, etc.} Google Charts can be used with other Google products such as Google Sites, Blogger or Google Code wiki pages. However, in most cases, the chart has to be embedded as a Google Gadget. Google Gadgets are written in XML and can have HTML and Javascript components. Here is an example of a 'Hello World' program written using Google Gadget technology from \href{http://en.wikipedia.org/wiki/Google_Gadgets}{Wikipedia}. \begin{verbatim} \end{verbatim} The \googleVis package comes with the function \texttt{createGoogleGadget}, which takes a gvis-object and wraps it into an XML gadget file. Here is an example with a motion chart: <<>>= M <- gvisMotionChart(Fruits, "Fruit", "Year") G <- createGoogleGadget(M) @ <>= cat(G, file="myGadget.xml") @ In order to use the gadget, the file \texttt{myGadget.xml} has to be hosted online, e.g. using Google Docs. Suppose the URL to the gadget is \texttt{http://example.com/myGadget.xml}, than you can embed the gadget \begin{itemize} \item in a Google Site via the menu: "Insert" -> "More gadgets ..." -> "Add gadget URL", \item in a Google Code wiki via the \texttt{wiki:gadget} tag, e.g.: \texttt{}, \item in Blogger via the design tab, see site gadgets. \end{itemize} However, the situation is different again, if you would like to include the \googleVis output into a blogger post. In this case, a gadget does not work. You can either copy and paste the chart directly into your post, but then it does not seem to work with MS Internet Explorer, or you use an indirect approach. This means that the \googleVis chart has to be hosted on a separate page (e.g. in a public web folder) and is embedded into the blog post by using the \texttt{ \end{verbatim} For an example see the following blog entry: \href{http://www.magesblog.com/2011/09/including-googlevis-output-into-blogger.html} {http://www.magesblog.com/2011/09/including-googlevis-output-into-blogger.html}. \subsection{Embedding \googleVis in web sites dynamically} In this section, we provide examples how the \googleVis functions can be embedded into web pages dynamically. The R packages \rsp~\cite{Rsp} and \brew~\cite{brew2010} are two options to integrate R snippets into HTML code. While the \rsp package comes with its own internal web server, \brew requires the Apache HTTP server~\cite{Apache2.0} with the \rapache~\cite{Rapache} module installed. Please note that currently the \rapache module only runs on UNIX/Linux and Mac OS X. Since version 2.11.0 R ships with its own internal web server and with \Rook~\cite{Rook} and \shiny~\cite{shiny} there are also two alternatives that use this facility. Both packages allow users to deploy web application locally with very little overhead. The \shiny framework is the newest and certainly easiest option to get started with web apps using R and \googleVis. \subsubsection{Using \googleVis with \rsp}\label{rspexample} The \rsp package allows the user to integrate R code into html code. The R code is parsed by the \rsp web server and executed at run time. As an example, we embed a motion chart into a rsp-page: \begin{verbatim} <% library(googleVis) M <- gvisMotionChart(Fruits, idvar="Fruit", timevar="Year") %> <%= M$html$chart %> \end{verbatim} The R code included in \texttt{<\%$\dots$\%>} is executed when read by the R.rsp HTTP server, but no R output will be displayed. To embed the R output into the html code we have to add an equal sign, \texttt{<\%=$\dots$\%>}, which acts as a \texttt{cat} statement. \subsubsection{Using \googleVis with \rapache and \brew}\label{rapacheexample} \rapache supports web application development using R and the Apache HTTP server. The \rapache module embeds the R interpreter into the Apache web server. However, as we would like to mix R and HTML code we also need a parser and this is where the R package \brew comes into place. Files sitting in a dedicated \brew folder of the HTTP repository are parsed by \brew when opened in the browser. The R code is executed with \rapache and the output is embedded into the site. Hence the approach is similar to \rsp with the difference that the two tasks are split. This has the advantage that R does not have to run in a separate window. Detailed installation instructions for \rapache are available on the project site: \href{http://rapache.net/manual.html}{http://\-rapache.\-net/\-manual\-.html}, for specific comments on Mac OS X see: \href{http://worldofrcraft.blogspot.com/2010/08/installing-rapache-on-mac-os-x-snow.html}{http://\-worldofrcraft\-.blog\-spot\-.com/\-2010/\-08/\-installing\--rapache\--on\--mac\--os\--x\--snow\-.html} Following the installation of \rapache you will have to configure Apache. Most likely you have to add something along the following lines to your \path{apache2.conf} or \path{httpd.conf} file (often found in \path{/etc/httpd} or \path{/private/etc/apache2/httpd.conf} on Mac OS X): \begin{verbatim} LoadModule R_module /usr/lib/apache2/modules/mod_R.so ## On Mac OS X more likely to be: ## LoadModule R_module libexec/apache2/mod_R.so ROutputErrors RSourceOnStartup "/var/www/rapache/R/startup.R" ## On Mac OS X the www folder is often equivalent to: ## /Library/WebServer/Documents/ \end{verbatim} The first line loads the R module when the Apache web server is started, the second line deals with error handling, while the \path{startup.R} file is suitable for initial set ups, e.g. libraries and global variables: \begin{verbatim} ## Ensure the packages are installed so that mod_R ## has access to them, e.g. not in your home folder library{googleVis} library{lattice} library{Cairo} MyGlobalVar <- 42 \end{verbatim} To test that \rapache is working open \href{http://localhost/RApacheInfo}{http://\-localhost/\-RApacheInfo} and you should find details about your system, an example can be found on the \rapache site: \href{http://biostat.mc.vanderbilt.edu/rapache/files/RApacheInfo.html}{http://\-biostat.\-mc.\-vanderbilt.\-edu/\-rapache/\-files/\-RApacheInfo\-.html} The next step is to install the \brew R package in the usual way: <>= install.packages('brew') @ Following this we have to tell Apache that files in a specific folder should be parsed by \textbf{\texttt{brew}}. Again we edit the \path{apache2.conf} or \path{httpd.conf} and add the connection of the RHandler with the function \path{brew}: \begin{verbatim} ## On Mac OS more likely to be something like: ## SetHandler r-script RHandler brew::brew \end{verbatim} That's all. Restart the HTTP daemon and you can start placing files in the \brew directory and access them via \path{http://localhost/rapache/brew/filename}, e.g. a file containing: \begin{verbatim}

Fruits

<% library(googleVis) M <- gvisMotionChart(Fruits, idvar="Fruit", timevar="Year") %> <%= M$html$chart %> \end{verbatim} You will notice that the \brew syntax is very similar to \texttt{rsp}. For more information read the documentation of the \rapache module and \brew package. You find two simple examples of brew files in the \googleVis package. Again the following R command shows you the folder path: <>= system.file("brew", package = "googleVis") @ \subsubsection{Using \googleVis with \Rook} \Rook~\cite{Rook} is a web server interface for R, written by Jeffrey Horner, the author of rApache and brew. Compared to other web frameworks \Rook appears incredibly lightweight. \Rook doesn't need any configuration. It is an R package, which works out of the box with the R HTTP server. That means no configuration files are needed. No files have to be placed in particular folders. Instead, \Rook web applications can be run on a local desktop. However, \Rook requires some knowledge of the HTTP protocol. Here is a \Rook app example with \texttt{googleVis}. It displays a little R data frame in a \googleVis table by default. The user can change the visualisation by clicking on the \emph{Edit me!} button and upload her/his own CSV-file, see Figure~\ref{fig:Rook}. \begin{figure}[ht] \centering \includegraphics[width=0.8\textwidth]{./figures/Rook.pdf} \caption{Screen shot of a Rook app with \googleVis output.} \label{fig:Rook} \end{figure} <>= require(Rook) require(googleVis) s <- Rhttpd$new() s$start(listen='127.0.0.1') my.app <- function(env){ ## Start with a table and allow the user to upload a CSV-file req <- Request$new(env) res <- Response$new() ## Provide some data to start with ## Exports is a sample data set of googleVis data <- Exports[,1:2] ## Add functionality to upload CSV-file if (!is.null(req$POST())) { ## Read data from uploaded CSV-file data <- req$POST()[["data"]] data <- read.csv(data$tempfile) } ## Create table with googleVis tbl <- gvisTable(data, options=list(gvis.editor="Edit me!", height=350), chartid="myInitialView") ## Write the HTML output and ## make use of the googleVis HTML output. ## See vignette('googleVis') for more details res$write(tbl$html$header) res$write("

My first Rook app with googleVis

") res$write(tbl$html$chart) res$write(' Read CSV file:
\n
') res$write(tbl$html$footer) res$finish() } s$add(app=my.app, name='googleVisTable') ## Open a browser window and display the web app s$browse('googleVisTable') @ \subsubsection{Using \googleVis with \shiny} Shiny\footnote{\url{http://www.rstudio.com/shiny/}} is a package by RStudio. Shiny makes it incredibly easy to build interactive web applications with R. With version 0.4.0 of \googleVis the support for \shiny ~\cite{shiny} apps has been added. Joe Cheng contributed the \texttt{renderGvis} function which allows users to use \googleVis output in \shiny in a similar way to other plotting functions. Note that \shiny version $\ge$ 0.4.0 is required. The following example has been taken from the help file of \texttt{renderGvis}. It displays a scatter chart where the user can select the data set to be displayed, see also the screen shot in Figure~\ref{fig:shiny}. <>= # server.R library(googleVis) shinyServer(function(input, output) { datasetInput <- reactive({ switch(input$dataset, "rock" = rock, "pressure" = pressure, "cars" = cars) }) output$view <- renderGvis({ gvisScatterChart(datasetInput()) }) }) # ui.R shinyUI(pageWithSidebar( headerPanel("googleVis on Shiny"), sidebarPanel( selectInput("dataset", "Choose a dataset:", choices = c("rock", "pressure", "cars")) ), mainPanel( htmlOutput("view") ) )) @ \begin{figure}[ht] \centering \includegraphics[width=0.8\textwidth]{./figures/shiny.pdf} \caption{Screen shot a \shiny app with \googleVis output.} \label{fig:shiny} \end{figure} You can run the example locally with the following statement. <>= library(shiny) ## Version >= 0.4.0 required runApp(system.file("shiny/", package="googleVis")) @ Further examples have been published on Markus' blog: \url{http://www.magesblog.co.uk/search/label/shiny} \section{Using \googleVis with \knitr}\label{sec:knitr} Using \googleVis with \knitr\footnote{\url{http://yihui.name/knitr/}}~\cite{knitr} is a convenient way of creating interactive reproducible reports. The approach taken by \knitr is similar to Sweave, you can combine R code with text and formatting tags. However, \knitr can also export to HTML, which is required to embed \googleVis charts. To include \googleVis output into a \knitr document you have to set the chunk option \texttt{results} to \texttt{'asis'} and print the chart element only, as demonstrated in the following example: \begin{verbatim} ```{r results='asis'} M <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(width=550, height=450)) print(M, 'chart') ``` \end{verbatim} A little example was published in a blog post: \url{http://www.magesblog.co.uk/2012/05/interactive-reports-in-r-with-knitr-and.html} Version 0.3.2 of \googleVis introduced \texttt{'tag'} as a new argument to the plot function \texttt{plot.gvis}, see also page~\pageref{sec:Options}. This argument is by default set to \texttt{NULL} and can be set globally outside the plot function via \texttt{options()}. The argument \texttt{tag} influences the behaviour of the plot function. The \texttt{tag} parameter can be the same as for the print function \texttt{print.gvis}. Indeed, setting \texttt{options(gvis.plot.tag = 'chart')} will change the behaviour of plot to print, so \texttt{plot(x)} will no longer open a browser window, but produce the same output as \texttt{print(x, tag='chart')}, if \texttt{x} is a gvis-object. Hence, setting the option \texttt{gvis.plot.tag} in a \knitr markdown Rmd-file to \texttt{'chart'} will automatically turn all following plot statements into html output, see the example below and Figure~\ref{fig:markdown}. \begin{figure}[ht] \centering \includegraphics[width=0.7\textwidth]{./figures/MarkdownExample.pdf} \caption{Screen shot of the markdown example output} \label{fig:markdown} \end{figure} \begin{verbatim} # Markdown example with knitr and googleVis =========================================== This is a little Markdown example file. Set the googleVis options first. In this case change the behaviour of plot.gvis ```{r setOptions, message=FALSE} library(googleVis) op <- options(gvis.plot.tag='chart') ``` The following plot statements will automatically return the HTML required for the 'knitted' output. ## Combo chart ```{r ComboExample, results='asis', tidy=FALSE} ## Add the mean CityPopularity$Mean=mean(CityPopularity$Popularity) CC <- (CityPopularity, xvar='City', yvar=c('Mean', 'Popularity'), options=list(seriesType='bars', width=450, height=300, title='City Popularity', series='{0: {type:\"line\"}}')) plot(CC) ``` Example of gvisComboChart with R code shown above. ## Place two charts next to each other ```{r gvisMergeExample, results='asis', echo=FALSE} Geo <- gvisGeoChart(Exports, locationvar='Country', colorvar='Profit', options=list(height=300, width=350)) Tbl <- gvisTable(Exports, options=list(height=300, width=200)) plot(gvisMerge(Geo, Tbl, horizontal=TRUE)) `````` Example of a gvisGeoChart with gvisTable and R code hidden. ## Motion Chart ```{r MotionChartExample, results='asis', tidy=FALSE} M <- gvisMotionChart(Fruits, 'Fruit', 'Year', options=list(width=400, height=350)) plot(M) ``` Please note that the Motion Chart is only displayed when hosted on a web server, or is placed in a directory which has been added to the trusted sources in the [security settings of Macromedia] (http://www.macromedia.com/support/documentation/en/flashplayer/help/settings_manager04.html). See the googleVis package vignette for more details. ```{r resetOptions} ## Set options back to original options options(op) ``` \end{verbatim} Note that you can use the \texttt{options()} command in your \knitr file to switch between an interactive mode, where you are likely to experiment, via copying and pasting R code into the console and running \texttt{knit} on the whole file. A more comprehensive example is given in the help file to \texttt{?plot.gvis}. \section{Using \googleVis in presentations}\label{sec:presentations} The Google Chart Tools are designed for web pages, so it should be no surprise that it can be difficult or impossible to embed \googleVis output in traditional presentation software like MS PowerPoint\footnote{For MS PowerPoint on MS Windows the plug-in \href{http://skp.mvps.org/liveweb.htm}{liveweb} provides the functionality to insert web pages into a PowerPoint slide and refresh the pages real-time during slide show.}, Google Docs, OpenOffice Impress or Apple Keynote. The easiest way is to include screen shots into the slide with links to the live web pages. But this approach requires the presenter to switch between applications during her talk. This can be fun, but quite often it is not. An alternative would be to build the presentation as a web page itself. A popular approach here is the \texttt{slidify} package by Ramnath Vaidyanathan, \cite{slidify} that builds on the knitr Markdown approach of the previous section. An example of a \texttt{slidify} presentation is the \googleVis tutorial given at the useR! conference in 2013, \cite{googleVisTutorial}. \begin{figure}[h] \centering \includegraphics[width=0.5\textwidth]{./figures/googleVisTutorial2013.png} \caption{\googleVis tutorial at the useR! 2013 conference: \url{http://decastillo.github.io/googleVis_Tutorial}} \label{fig:slidify} \end{figure} Slidify provides a choice of different layout frameworks and syntax highlighting options. Additionally, slidify slides can be published from R online, e.g. on GitHub. % % \section{Using \googleVis with RStudio} % % RStudio is popular a free and open source integrated development environment % for R. With verion 0.98.441 RStudio introduced a viewer pane that allows users % to display HTML files within RStudio's IDE. % % \googleVis will use the Viewer pane in RStudio (version >= 0.98.441) % to display non-Flash charts by default. Flash charts and merged gvis-objects are % displayed in the default browser. The setting is controlled % via the option \texttt{googleVis.viewer}. By default it will have % the value of \texttt{getOption("viewer")}. % % Set \texttt{options("googleVis.viewer"=NULL)} and the googleVis % plot function will open all output in the standard browser. % \section{Beyond R} In this section we present ideas which go beyond the usual coding in R and are somewhat experimental. \subsection{Registering to catch events} Google visualisations can fire and receive events~\footnote{\url{http://code.google.com/apis/chart/interactive/docs/reference.html\#addlistener}}. It exposes the following two JavaScript methods: \begin{itemize} \item \texttt{google.visualization.events.trigger()} fires an event, \item \texttt{google.visualization.events.addListener()} listens for events. \end{itemize} Here is an example of registering to receive the selection event from the Google documentation: \begin{verbatim} var table = new google.visualization.Table(document.getElementById('table_div')); table.draw(data, options); google.visualization.events.addListener(table, 'select', selectHandler); function selectHandler() { alert('A table row was selected'); } \end{verbatim} We will only deal with this special case of a 'select' event of the 'addListner' method. This event is available for most visualisations and acts on user interactions, e.g. user selection clicks. The 'addListener' method expects JavaScript code, which can be embedded into a gvis-object via \texttt{options} as (undocumented) parameter \texttt{gvis.listener.jscode}. Here are some examples: Look up the selected item in Wikipedia: <>= jscode <- "window.open('http://en.wikipedia.org/wiki/' + data.getValue(chart.getSelection()[0].row,0)); " J1 <- gvisGeoMap(Exports, locationvar='Country', numvar='Profit', options=list(dataMode="regions", gvis.listener.jscode=jscode)) plot(J1) @ In the same way we can use the code in other charts, e.g. org- or line chart: <>= plot(gvisOrgChart(Regions, options=list(gvis.listener.jscode=jscode))) plot(gvisLineChart(Regions[,c(1,3)], options=list(gvis.listener.jscode=jscode))) @ In the following more advanced example the selected value of a table is displayed in a message box: <>= jscode <- " var sel = chart.getSelection(); var row = sel[0].row; var text = data.getValue(row,1); alert(text); " J2 <- gvisTable(Population, options=list(gvis.listener.jscode=jscode)) plot(J2) @ For more details see the \texttt{demo(EventListener)} and \href{https://developers.google.com/chart/interactive/docs/reference}{Google Charts Reference}. \section{Frequent ask questions -- FAQ} \subsection{Can I use googleVis output in PDF files?} No, not directly. The Google Charts API is designed for dynamic web output on your screen and not on paper. See also the section~\ref{sec:presentations}, page~\pageref{sec:presentations}, which covers how to use \googleVis in presentations. Note that this vignette uses screen shots to include examples of \googleVis charts. For further details see Google's online documentation on \href{https://developers.google.com/chart/interactive/docs/printing}{printing PNG charts}. \subsection{Can I change the colour of the bubbles in motion charts?} No, unfortunately not. The colours are set by the Google Charts API and cannot be changed by the user. \subsection{Can I change the icons in Maps?} No, not via \texttt{gvisMap}. However, you can upload your data to a Google Fusion Table and link it to a second table which defines the icons. See the Google Fusion Table support page for more details: \url{http://support.google.com/fusiontables/answer/2679986?hl=en} \subsection{Why can't I see motion charts when I open them from a local directory?} See section~\ref{sec:DisplayLocally} on page~\pageref{sec:DisplayLocally} \subsection{Why can't I see motion charts on my iPad/iPhone?} Motion charts (also geo maps and annotated time lines) are rendered in your browser using Flash, unlike most other charts which use HTML5. Unfortunately, Flash is not directly supported on iOS devices such as iPads and iPhones. \subsection{How can I set axes limits with googleVis?} Unfortunately, there are no arguments such as \texttt{ylim} and \texttt{xlim}. Instead, the Google Charts axes options are set via \texttt{hAxes} and \texttt{vAxes}, with h and v indicating the horizontal and vertical axis. More precisely, we have to set \texttt{viewWindowMode : 'explicit'} and set the \texttt{viewWindow} to the desired min and max values. Additionally, we have to wrap all of this in $[\{\}]$ brackets as those settings are sub-options of \texttt{h/vAxes}. There are also options \texttt{minValue} and \texttt{maxValue}, but they only allow you to extend the axes ranges. Here is a minimal example, setting the y-axis limits from 0 to 10: <>= library(googleVis) dat <- data.frame(x=LETTERS[1:10], y=c(0, 4, -2, 2, 4, 3, 8, 15, 10, 4)) area1 <- gvisAreaChart(xvar="x", yvar="y", data=dat, options=list(vAxes="[{viewWindowMode:'explicit', viewWindow:{min:0, max:10}}]", width=500, height=400, title="y-limits set from 0 to 10"), chartid="area1ylim") plot(area1) @ \subsection{How can I change the look and feel of the charts?} The charts have a lot of options which allow you to change the look and feel of the output, see the help files for more details. However, \googleVis provides only an interface to the Google Charts API. If you have specific questions to the charts then please join the Google Visualisation API newsgroup: \url{http://groups.google.com/group/google-visualization-api}. For frequent ask questions regarding the API check: \url{https://developers.google.com/chart/interactive/faq}. \subsection{Is it possible to use \googleVis in corporate work?} Review the Google Terms of Service (\url{https://developers.google.com/terms/}) and get in touch with your colleagues in IT / Legal. If in doubt contact Google directly. \subsection{Bugs and issues} Should you find any issues or bugs with googleVis, then please drop us a line or add them to our issues list: \url{https://github.com/mages/googleVis/issues} \subsection{Citation} Please cite R and \googleVis if you use it in your work or publications. 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EÔÃþYEÿOÿEEš(Ó IYW ¦QE%-PIE´QE%Q@Q@ IE´QEQE%-PIE´QE%Q@Q@ IE´QEQE%-PIE´QE%Q@Q@ IE´QEQE%-PIE´QE%Q@Q@ IE´QEQE%-PIE´QE%Q@Q@ IE´QEQE>*«t4QEÿÙendstream endobj 497 0 obj << /Type /XRef /Length 385 /Filter /FlateDecode /DecodeParms << /Columns 5 /Predictor 12 >> /W [ 1 3 1 ] /Info 3 0 R /Root 2 0 R /Size 498 /ID [<64fa9045305c754e6ad1bc0905a859e9>] >> stream xœí’Í+Dq†ï½f˜;†ñ1Øhdl!)_E>²²°P²Q$QŠlÔ$É4²[S–,,ØYÈÂB”¯(²³@H%îûü fygñt:÷œ÷œó›×2ô³LÃÂwÃRÂté2mü5ŠZ’Nœ¹,=n¹s™~U=%wÝ.¸îr™~w5WË]'m®»\þ×KÝ{›N\Ò+/‡aŸ˜ý(f‰¾ÑŠ‹Åûb`B,º3ÆÅÜO1ý7Íðj«ba% ¢ÙNÍ:q˜)]LLŠö›z½»|¦ÍÀ]CL¹sæᤘw'fö³ Z—ðý”4£‹ŠÃu(¯ÐëóÅ‚s¦§ØÄÇWÞÁ.fúù„tB¼†ýÁ¬nR logo' plot( gvisScatterChart(df, options=list(tooltip="{isHtml:'true'}")) ) ## ----CertaintyScopeEmphasis, results='asis', tidy=FALSE------------------ df <- data.frame(year=1:11, x=1:11, x.scope=c(rep(TRUE, 8), rep(FALSE, 3)), y=11:1, y.html.tooltip=LETTERS[11:1], y.certainty=c(rep(TRUE, 5), rep(FALSE, 6)), y.emphasis=c(rep(FALSE, 4), rep(TRUE, 7))) plot( gvisScatterChart(df,options=list(lineWidth=2)) ) ## ----ColumnChart, results='asis', tidy=FALSE----------------------------- dat <- data.frame(Year=2010:2013, Sales=c(600, 1500, 800, 1000), Sales.html.tooltip=c('$600K in our first year!', 'Sunspot activity made this our best year ever!', '$800K in 2012.', '$1M in sales last year.'), Sales.certainty=c(TRUE, FALSE, TRUE, FALSE)) plot( gvisColumnChart(dat, xvar='Year', yvar=c('Sales', 'Sales.certainty') ) ) ## ----TwoLines, results='asis', tidy=FALSE-------------------------------- df <- data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val1.emphasis=c(TRUE, TRUE, FALSE), val2=c(23,12,32)) plot( gvisLineChart(df, xvar="country", yvar=c("val1", "val1.emphasis") ) ) plot( gvisLineChart(df, xvar="country", yvar=c("val1", "val1.emphasis", "val2") ) ) ## ----VerticalReferenceLine, results='asis', tidy=FALSE------------------- dat <- data.frame(Year=2010:2013, Sales=c(600, 1500, 800, 1000), Sales.annotation=c('First year', NA, NA, 'Last Year'), Sales.annotationText=c('$600K in our first year!', NA, NA, '$1M in sales last year.')) plot( gvisLineChart(dat, xvar='Year', yvar=c('Sales', 'Sales.annotation', 'Sales.annotationText'), options=list(annotations = "{style:'line'}") ) ) ## ----Interval, results='asis', tidy=FALSE-------------------------------- df <- data.frame(Year=2013:2014, Sales=c(120, 130), Sales.interval.1=c(100,110), Sales.interval.2=c(140, 150), Sales.interval.3=c(90, 100), Sales.interval.4=c(150, 170), Sales.style=c('red', 'gold'), Sales.annotation=c("North", "South"), check.names=FALSE) plot( gvisBarChart(df, xvar='Year', yvar=c('Sales', 'Sales.interval.1', 'Sales.interval.2', 'Sales.style', 'Sales.annotation') ) ) plot( gvisLineChart(df, xvar='Year', yvar=c('Sales', 'Sales.interval.1', 'Sales.interval.2'), options=list(series="[{color:'purple'}]") ) ) plot( gvisLineChart(df, xvar='Year', yvar=c('Sales', 'Sales.interval.1', 'Sales.interval.2', 'Sales.interval.3', 'Sales.interval.4'), options=list(series="[{color:'purple'}]", lineWidth=4, interval="{ 'i1': { 'style':'line', 'color':'#D3362D', 'lineWidth': 0.5 }, 'i2': { 'style':'line', 'color':'#F1CA3A', 'lineWidth': 1 }, 'i3': { 'style':'line', 'color':'#5F9654', 'lineWidth': 2 }, 'i4': { 'style':'line', 'color':'#5F9654', 'lineWidth': 3 } }") ) ) plot( gvisLineChart(df, xvar='Year', yvar=c('Sales', 'Sales.interval.1', 'Sales.interval.2', 'Sales.interval.3', 'Sales.interval.4'), options=list(series="[{color:'purple'}]", lineWidth=4, intervals="{ 'style':'area' }", interval="{ 'i1': { 'color': '#4374E0', 'style':'bars', 'barWidth':0, 'lineWidth':4, 'pointSize':10, 'fillOpacity':1 }, 'i2': { 'color': '#E49307', 'style':'bars', 'barWidth':0, 'lineWidth':4, 'pointSize':10, 'fillOpacity':1 }}" ) ) ) googleVis/inst/doc/Using_Roles_via_googleVis.Rmd0000644000176200001440000000420613032146654021512 0ustar liggesusers # Using Roles via googleVis Roles add the ability to pass columns for further processing downstream. Role columns must follow column they pertain to. Proper naming conventions must be observed. For example, roles fulfilling tooltip roles and must be called "foo.blah.tooltip". For more details see the [Google documentation](https://developers.google.com/chart/interactive/docs/roles). The following examples should help to illustrate the concept. ```{r setOptions, message=FALSE, echo=FALSE} library(googleVis) library(knitr) op <- options(gvis.plot.tag='chart') read_demo('Roles', 'googleVis') ``` The first example uses a data set that has the additional column `pop.html.tooltip` with the first 11 letters of the Latin alphabet. This column is mapped automatically as a tooltip when the user hovers over the chart point. ```{r Tooltip, results='asis', tidy=FALSE} ``` HTML code can be embedded into the tooltip as well, if the option isHtml is set to true. ```{r TooltipHTML, results='asis', tidy=FALSE} ``` Often it is helpful to highlight certain parts of the data. The Google API distinguishes between certainty and emphasis. In a similar way to above additional columns with boolean values have to be added to the data. ```{r CertaintyScopeEmphasis, results='asis', tidy=FALSE} ``` Using roles with column or bar charts has some specifics. Instead of 'emphasize' use 'style' to change the colours. ```{r ColumnChart, results='asis', tidy=FALSE} ``` ```{r TwoLines, results='asis', tidy=FALSE} ``` Setting the annotations style to 'line' allows adding little reference lines to the plot. ```{r VerticalReferenceLine, results='asis', tidy=FALSE} ``` Intervals help to add error bars, confidence levels, etc. Note that the options are set either via `interval` or `intervals`, if set to all intervals. The examples below give an indication of what can be achieved with intervals. For more details visit the Google [documentation](https://google-developers.appspot.com/chart/interactive/docs/gallery/intervals). ```{r Interval, results='asis', tidy=FALSE} ``` googleVis/inst/doc/googleVis_examples.R0000644000176200001440000003327313032146654017725 0ustar liggesusers## ----demo, eval=FALSE---------------------------------------------------- # library(googleVis) # demo(googleVis) ## ----setOptions, message=FALSE, echo=FALSE------------------------------- library(googleVis) library(knitr) op <- options(gvis.plot.tag='chart') read_demo('googleVis', 'googleVis') ## ----testData, tidy=FALSE------------------------------------------------ df=data.frame(country=c("US", "GB", "BR"), val1=c(10,13,14), val2=c(23,12,32)) ## ----LineChart, results='asis', tidy=FALSE------------------------------- Line <- gvisLineChart(df) plot(Line) ## ----TwoAxis, results='asis', tidy=FALSE--------------------------------- Line2 <- gvisLineChart(df, "country", c("val1","val2"), options=list( series="[{targetAxisIndex: 0}, {targetAxisIndex:1}]", vAxes="[{title:'val1'}, {title:'val2'}]" )) plot(Line2) ## ----BarChart, results='asis', tidy=FALSE-------------------------------- Bar <- gvisBarChart(df) plot(Bar) ## ----ColumnChart, results='asis', tidy=FALSE----------------------------- Column <- gvisColumnChart(df) plot(Column) ## ----AreaChart, results='asis', tidy=FALSE------------------------------- Area <- gvisAreaChart(df) plot(Area) ## ----SteppedAreaChart, results='asis', tidy=FALSE------------------------ SteppedArea <- gvisSteppedAreaChart(df, xvar="country", yvar=c("val1", "val2"), options=list(isStacked=TRUE)) plot(SteppedArea) ## ----ComboChart, results='asis', tidy=FALSE------------------------------ Combo <- gvisComboChart(df, xvar="country", yvar=c("val1", "val2"), options=list(seriesType="bars", series='{1: {type:"line"}}')) plot(Combo) ## ----ScatterChart, results='asis', tidy=FALSE---------------------------- Scatter <- gvisScatterChart(women, options=list( legend="none", lineWidth=2, pointSize=0, title="Women", vAxis="{title:'weight (lbs)'}", hAxis="{title:'height (in)'}", width=300, height=300)) plot(Scatter) ## ----BubbleChart, results='asis', tidy=FALSE----------------------------- Bubble <- gvisBubbleChart(Fruits, idvar="Fruit", xvar="Sales", yvar="Expenses", colorvar="Year", sizevar="Profit", options=list( hAxis='{minValue:75, maxValue:125}')) plot(Bubble) ## ----CustomizingLines, results='asis', tidy=FALSE------------------------ Dashed <- gvisLineChart(df, xvar="country", yvar=c("val1","val2"), options=list( series="[{color:'green', targetAxisIndex: 0, lineWidth: 1, lineDashStyle: [2, 2, 20, 2, 20, 2]}, {color: 'blue',targetAxisIndex: 1, lineWidth: 2, lineDashStyle: [4, 1]}]", vAxes="[{title:'val1'}, {title:'val2'}]" )) plot(Dashed) ## ----ScatterChartPoints, results='asis', tidy=FALSE---------------------- M <- matrix(nrow=6,ncol=6) M[col(M)==row(M)] <- 1:6 dat <- data.frame(X=1:6, M) SC <- gvisScatterChart(dat, options=list( title="Customizing points", legend="right", pointSize=30, series="{ 0: { pointShape: 'circle' }, 1: { pointShape: 'triangle' }, 2: { pointShape: 'square' }, 3: { pointShape: 'diamond' }, 4: { pointShape: 'star' }, 5: { pointShape: 'polygon' } }")) plot(SC) ## ----EditButton, results='asis', tidy=FALSE------------------------------ Line4 <- gvisLineChart(df, "country", c("val1","val2"), options=list(gvis.editor="Edit me!")) plot(Line4) ## ----SettingOptions, results='asis', tidy=FALSE-------------------------- Line3 <- gvisLineChart(df, xvar="country", yvar=c("val1","val2"), options=list( title="Hello World", titleTextStyle="{color:'red', fontName:'Courier', fontSize:16}", backgroundColor="#D3D3D3", vAxis="{gridlines:{color:'red', count:3}}", hAxis="{title:'Country', titleTextStyle:{color:'blue'}}", series="[{color:'green', targetAxisIndex: 0}, {color: 'orange',targetAxisIndex:1}]", vAxes="[{title:'val1'}, {title:'val2'}]", legend="bottom", curveType="function", width=500, height=300 )) plot(Line3) ## ----CandlestickChart, results='asis', tidy=FALSE------------------------ Candle <- gvisCandlestickChart(OpenClose, options=list(legend='none')) plot(Candle) ## ----PieChart, results='asis', tidy=FALSE-------------------------------- Pie <- gvisPieChart(CityPopularity) plot(Pie) ## ----Gauge, results='asis', tidy=FALSE----------------------------------- Gauge <- gvisGauge(CityPopularity, options=list(min=0, max=800, greenFrom=500, greenTo=800, yellowFrom=300, yellowTo=500, redFrom=0, redTo=300, width=400, height=300)) plot(Gauge) ## ----IntensityMap, results='asis', tidy=FALSE---------------------------- Intensity <- gvisIntensityMap(df) plot(Intensity) ## ----GeoChart, results='asis', tidy=FALSE-------------------------------- Geo=gvisGeoChart(Exports, locationvar="Country", colorvar="Profit", options=list(projection="kavrayskiy-vii")) plot(Geo) ## ----USStateData, results='asis', tidy=FALSE----------------------------- require(datasets) states <- data.frame(state.name, state.x77) GeoStates <- gvisGeoChart(states, "state.name", "Illiteracy", options=list(region="US", displayMode="regions", resolution="provinces", width=600, height=400)) plot(GeoStates) ## ----GeoChartHurricaneAndrew, results='asis', tidy=FALSE----------------- GeoMarker <- gvisGeoChart(Andrew, "LatLong", sizevar='Speed_kt', colorvar="Pressure_mb", options=list(region="US")) plot(GeoMarker) ## ----GoogleMapHurricaneAndrew, results='asis', tidy=FALSE---------------- AndrewMap <- gvisMap(Andrew, "LatLong" , "Tip", options=list(showTip=TRUE, showLine=TRUE, enableScrollWheel=TRUE, mapType='terrain', useMapTypeControl=TRUE)) plot(AndrewMap) ## ----Table, results='asis', tidy=FALSE----------------------------------- Table <- gvisTable(Stock, formats=list(Value="#,###")) plot(Table) ## ----TableWithPages, results='asis', tidy=FALSE-------------------------- PopTable <- gvisTable(Population, formats=list(Population="#,###", '% of World Population'='#.#%'), options=list(page='enable')) plot(PopTable) ## ----OrgChart, results='asis', tidy=FALSE-------------------------------- Org <- gvisOrgChart(Regions, options=list(width=600, height=250, size='large', allowCollapse=TRUE)) plot(Org) ## ----TreeMap, results='asis', tidy=FALSE--------------------------------- Tree <- gvisTreeMap(Regions, "Region", "Parent", "Val", "Fac", options=list(fontSize=16)) plot(Tree) ## ----AnnotationChart, results='asis', tidy=FALSE------------------------- Anno <- gvisAnnotationChart(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list( width=600, height=350, fill=10, displayExactValues=TRUE, colors="['#0000ff','#00ff00']") ) plot(Anno) ## ----SankeyChart, results='asis', tidy=FALSE----------------------------- datSK <- data.frame(From=c(rep("A",3), rep("B", 3)), To=c(rep(c("X", "Y", "Z"),2)), Weight=c(5,7,6,2,9,4)) Sankey <- gvisSankey(datSK, from="From", to="To", weight="Weight", options=list( sankey="{link: {color: { fill: '#d799ae' } }, node: { color: { fill: '#a61d4c' }, label: { color: '#871b47' } }}")) plot(Sankey) ## ----Histogram, results='asis', tidy=FALSE------------------------------- set.seed(123) datHist=data.frame(A=rpois(100, 20), B=rpois(100, 5), C=rpois(100, 50)) Hist <- gvisHistogram(datHist, options=list( legend="{ position: 'top', maxLines: 2 }", colors="['#5C3292', '#1A8763', '#871B47']", width=400, height=360)) plot(Hist) ## ----CalendarChart, results='asis', tidy=FALSE--------------------------- Cal <- gvisCalendar(Cairo, datevar="Date", numvar="Temp", options=list( title="Daily temperature in Cairo", height=320, calendar="{yearLabel: { fontName: 'Times-Roman', fontSize: 32, color: '#1A8763', bold: true}, cellSize: 10, cellColor: { stroke: 'red', strokeOpacity: 0.2 }, focusedCellColor: {stroke:'red'}}") ) plot(Cal) ## ----Timeline, results='asis', tidy=FALSE-------------------------------- datTL <- data.frame(Position=c(rep("President", 3), rep("Vice", 3)), Name=c("Washington", "Adams", "Jefferson", "Adams", "Jefferson", "Burr"), start=as.Date(x=rep(c("1789-03-29", "1797-02-03", "1801-02-03"),2)), end=as.Date(x=rep(c("1797-02-03", "1801-02-03", "1809-02-03"),2))) Timeline <- gvisTimeline(data=datTL, rowlabel="Name", barlabel="Position", start="start", end="end", options=list(timeline="{groupByRowLabel:false}", backgroundColor='#ffd', height=350, colors="['#cbb69d', '#603913', '#c69c6e']")) plot(Timeline) ## ----gvisMerge, results='asis', tidy=FALSE------------------------------- G <- gvisGeoChart(Exports, "Country", "Profit", options=list(width=300, height=300)) T <- gvisTable(Exports, options=list(width=220, height=300)) GT <- gvisMerge(G,T, horizontal=TRUE) plot(GT) ## ----MotionChart, results='asis', tidy=FALSE----------------------------- Motion=gvisMotionChart(Fruits, idvar="Fruit", timevar="Year") plot(Motion) ## ----MotionChartSettings, results='asis', tidy=FALSE--------------------- myStateSettings <-' {"xZoomedDataMin":1199145600000,"colorOption":"2", "duration":{"timeUnit":"Y","multiplier":1},"yLambda":1, "yAxisOption":"4","sizeOption":"_UNISIZE", "iconKeySettings":[],"xLambda":1,"nonSelectedAlpha":0, "xZoomedDataMax":1262304000000,"iconType":"LINE", "dimensions":{"iconDimensions":["dim0"]}, "showTrails":false,"uniColorForNonSelected":false, "xAxisOption":"_TIME","orderedByX":false,"playDuration":15000, "xZoomedIn":false,"time":"2010","yZoomedDataMin":0, "yZoomedIn":false,"orderedByY":false,"yZoomedDataMax":100} ' M <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(state=myStateSettings)) plot(M) ## See demo(package='googleVis') for other available demos. ## ----GeoMap, results='asis', tidy=FALSE---------------------------------- AndrewGeo <- gvisGeoMap(Andrew, locationvar="LatLong", numvar="Speed_kt", hovervar="Category", options=list(height=350, region="US", dataMode="markers")) plot(AndrewGeo) ## ----AnnotatedTimeLine, results='asis', tidy=FALSE----------------------- AnnoTimeLine <- gvisAnnotatedTimeLine(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list(displayAnnotations=TRUE, width="600px", height="350px")) plot(AnnoTimeLine) googleVis/inst/doc/Using_Roles_via_googleVis.html0000644000176200001440000014251513032146654021742 0ustar liggesusers Using Roles via googleVis

Using Roles via googleVis

Roles add the ability to pass columns for further processing downstream. Role columns must follow column they pertain to. Proper naming conventions must be observed. For example, roles fulfilling tooltip roles and must be called “foo.blah.tooltip”. For more details see the Google documentation.

The following examples should help to illustrate the concept.

The first example uses a data set that has the additional column pop.html.tooltip with the first 11 letters of the Latin alphabet. This column is mapped automatically as a tooltip when the user hovers over the chart point.

df <- data.frame(year=1:11,pop=1:11,
                 pop.html.tooltip=letters[1:11])
plot( 
  gvisScatterChart(df)
)

HTML code can be embedded into the tooltip as well, if the option isHtml is set to true.

levels(df$pop.html.tooltip)[1] <- 
  '<a href="http://www.r-project.com"><img src="http://www.r-project.org/Rlogo.jpg" alt="R logo" /></a>'
plot( 
  gvisScatterChart(df,
                   options=list(tooltip="{isHtml:'true'}"))
)

Often it is helpful to highlight certain parts of the data. The Google API distinguishes between certainty and emphasis. In a similar way to above additional columns with boolean values have to be added to the data.

df <- data.frame(year=1:11, x=1:11,
                 x.scope=c(rep(TRUE, 8), rep(FALSE, 3)),
                 y=11:1, y.html.tooltip=LETTERS[11:1],                 
                 y.certainty=c(rep(TRUE, 5), rep(FALSE, 6)),
                 y.emphasis=c(rep(FALSE, 4), rep(TRUE, 7)))
plot(
  gvisScatterChart(df,options=list(lineWidth=2))
)

Using roles with column or bar charts has some specifics. Instead of 'emphasize' use 'style' to change the colours.

dat <- data.frame(Year=2010:2013,
                  Sales=c(600, 1500, 800, 1000),
                  Sales.html.tooltip=c('$600K in our first year!',
                                       'Sunspot activity made this our best year ever!',
                                       '$800K in 2012.',
                                       '$1M in sales last year.'),
                  Sales.certainty=c(TRUE, FALSE, TRUE, FALSE))
plot(
  gvisColumnChart(dat, xvar='Year', 
                  yvar=c('Sales', 'Sales.certainty')
  )
)

df <- data.frame(country=c("US", "GB", "BR"), 
                 val1=c(1,3,4), 
                 val1.emphasis=c(TRUE, TRUE, FALSE),
                 val2=c(23,12,32))
plot(
  gvisLineChart(df, xvar="country", 
                yvar=c("val1", "val1.emphasis")
  )
)

plot(
  gvisLineChart(df, xvar="country", 
                yvar=c("val1", "val1.emphasis", "val2")
  )
)

Setting the annotations style to 'line' allows adding little reference lines to the plot.

dat <- data.frame(Year=2010:2013, 
                  Sales=c(600, 1500, 800, 1000),
                  Sales.annotation=c('First year', NA, NA, 'Last Year'),
                  Sales.annotationText=c('$600K in our first year!',
                                       NA,
                                       NA,
                                       '$1M in sales last year.'))      

plot(
  gvisLineChart(dat, xvar='Year', 
                  yvar=c('Sales',
                         'Sales.annotation',
                         'Sales.annotationText'),
                         options=list(annotations = "{style:'line'}")
  )
)

Intervals help to add error bars, confidence levels, etc. Note that the options are set either via interval or intervals, if set to all intervals. The examples below give an indication of what can be achieved with intervals. For more details visit the Google documentation.

df <- data.frame(Year=2013:2014, Sales=c(120, 130), 
                 Sales.interval.1=c(100,110), 
                 Sales.interval.2=c(140, 150),
                 Sales.interval.3=c(90, 100),
                 Sales.interval.4=c(150, 170),
                 Sales.style=c('red', 'gold'),
                 Sales.annotation=c("North", "South"),
                 check.names=FALSE)

plot(
  gvisBarChart(df, xvar='Year', 
               yvar=c('Sales',                       
                      'Sales.interval.1', 
                      'Sales.interval.2',
                      'Sales.style',
                      'Sales.annotation')
  )
)

plot(
  gvisLineChart(df, xvar='Year', 
               yvar=c('Sales', 
                      'Sales.interval.1', 
                      'Sales.interval.2'),
               options=list(series="[{color:'purple'}]")
  )
)

plot(
  gvisLineChart(df, xvar='Year', 
                yvar=c('Sales', 
                       'Sales.interval.1', 
                       'Sales.interval.2', 
                       'Sales.interval.3', 
                       'Sales.interval.4'),
                options=list(series="[{color:'purple'}]",
                             lineWidth=4,
                             interval="{
            'i1': { 'style':'line', 'color':'#D3362D', 'lineWidth': 0.5 },
            'i2': { 'style':'line', 'color':'#F1CA3A', 'lineWidth': 1 },
            'i3': { 'style':'line', 'color':'#5F9654', 'lineWidth': 2 },
            'i4': { 'style':'line', 'color':'#5F9654', 'lineWidth': 3 }
        }")
  )
)

plot(
  gvisLineChart(df, xvar='Year', 
                yvar=c('Sales', 
                       'Sales.interval.1', 
                       'Sales.interval.2', 
                       'Sales.interval.3', 
                       'Sales.interval.4'),
                options=list(series="[{color:'purple'}]",
                             lineWidth=4,
                             intervals="{ 'style':'area' }",
                             interval="{
                               'i1': { 'color': '#4374E0', 'style':'bars', 'barWidth':0, 'lineWidth':4, 'pointSize':10, 'fillOpacity':1 },
                               'i2': { 'color': '#E49307', 'style':'bars', 'barWidth':0, 'lineWidth':4, 'pointSize':10, 'fillOpacity':1 }}"                                                          
                             )
  )
)
googleVis/inst/doc/Using_googleVis_with_knitr.R0000644000176200001440000000224313032146654021427 0ustar liggesusers## ----setOptions, message=FALSE------------------------------------------- library(googleVis) op <- options(gvis.plot.tag='chart') ## ----ComboExample, results='asis', tidy=FALSE---------------------------- ## Add the mean CityPopularity$Mean=mean(CityPopularity$Popularity) CC <- gvisComboChart(CityPopularity, xvar='City', yvar=c('Mean', 'Popularity'), options=list(seriesType='bars', width=450, height=300, title='City Popularity', series='{0: {type:\"line\"}}')) plot(CC) ## ----gvisMergeExample, results='asis', echo=FALSE------------------------ Geo <- gvisGeoChart(Exports, locationvar='Country', colorvar='Profit', options=list(height=300, width=350)) Tbl <- gvisTable(Exports, options=list(height=300, width=200)) plot(gvisMerge(Geo, Tbl, horizontal=TRUE)) ## ----MotionChartExample, results='asis', tidy=FALSE---------------------- M <- gvisMotionChart(Fruits, 'Fruit', 'Year', options=list(width=400, height=350)) plot(M) ## ----resetOptions-------------------------------------------------------- ## Set options back to original options options(op) googleVis/inst/doc/Using_googleVis_with_knitr.Rmd0000644000176200001440000000421613032146654021752 0ustar liggesusers # Markdown example with knitr and googleVis =========================================== This is a little Markdown example output. The Markdown source file is hosted on [GitHub](https://github.com/mages/googleVis/blob/master/vignettes/Using_googleVis_with_knitr.Rmd). Set the googleVis options first to change the behaviour of plot.gvis, so that only the chart component of the HTML file is written into the output file. ```{r setOptions, message=FALSE} library(googleVis) op <- options(gvis.plot.tag='chart') ``` The following plot statements will automatically return the HTML required for the 'knitted' output. ## Combo chart ```{r ComboExample, results='asis', tidy=FALSE} ## Add the mean CityPopularity$Mean=mean(CityPopularity$Popularity) CC <- gvisComboChart(CityPopularity, xvar='City', yvar=c('Mean', 'Popularity'), options=list(seriesType='bars', width=450, height=300, title='City Popularity', series='{0: {type:\"line\"}}')) plot(CC) ``` Example of gvisComboChart with R code shown above. ## Place two charts next to each other ```{r gvisMergeExample, results='asis', echo=FALSE} Geo <- gvisGeoChart(Exports, locationvar='Country', colorvar='Profit', options=list(height=300, width=350)) Tbl <- gvisTable(Exports, options=list(height=300, width=200)) plot(gvisMerge(Geo, Tbl, horizontal=TRUE)) `````` Example of a gvisGeoChart with gvisTable and R code hidden. ## Motion Chart ```{r MotionChartExample, results='asis', tidy=FALSE} M <- gvisMotionChart(Fruits, 'Fruit', 'Year', options=list(width=400, height=350)) plot(M) ``` Please note that the Motion Chart is only displayed when hosted on a web server, or if placed in a directory which has been added to the trusted sources in the [security settings of Macromedia] (http://www.macromedia.com/support/documentation/en/flashplayer/help/settings_manager04.html). See the googleVis package vignette for more details. ```{r resetOptions} ## Set options back to original options options(op) ``` googleVis/inst/doc/Using_Trendlines_with_googleVis.R0000644000176200001440000000307513032146654022413 0ustar liggesusers## ----setOptions, message=FALSE, echo=FALSE------------------------------- library(googleVis) library(knitr) op <- options(gvis.plot.tag='chart') read_demo('Trendlines', 'googleVis') ## ----LinearTrend, results='asis', tidy=FALSE----------------------------- plot( gvisScatterChart(women, options=list(trendlines="0")) ) ## ----ExponentialTrend, results='asis', tidy=FALSE------------------------ plot( gvisScatterChart(women, options=list( trendlines="{0: { type: 'exponential', visibleInLegend: 'true', color: 'green', lineWidth: 10, opacity: 0.5}}", chartArea="{left:50,top:20,width:'50%',height:'75%'}")) ) ## ----ColumnChartWithTrendline, results='asis', tidy=FALSE---------------- dat <- data.frame(val1=c(1,3,4,5,6,8), val2=c(12,23,32,40,50,55)) plot( gvisColumnChart(dat, options=list(trendlines="{0: {}}")) ) ## ----DifferentLabels, results='asis', tidy=FALSE------------------------- dat$val3 <- c(5,6,10,12,15,20) plot( gvisColumnChart(dat, options=list(trendlines="{ 0: { labelInLegend: 'Trendline 1', visibleInLegend: true,}, 1:{ labelInLegend: 'Trendline 2', visibleInLegend: true} }", chartArea="{left:50,top:20, width:'50%',height:'75%'}" )) ) googleVis/inst/doc/googleVis_examples.Rmd0000644000176200001440000000776713032146654020257 0ustar liggesusers # googleVis examples =========================================== It may take a little while to load all charts. Please be patient. All charts require an Internet connection. These examples are taken from the googleVis demo. You can execute the demo via ```{r demo, eval=FALSE} library(googleVis) demo(googleVis) ``` For more details about the charts and further examples see the helpfiles of the individual googleVis function and review the [Google Charts API documentation](https://developers.google.com/chart/interactive/docs/gallery) and [Terms of Service](https://developers.google.com/terms). ## Line chart ```{r setOptions, message=FALSE, echo=FALSE} library(googleVis) library(knitr) op <- options(gvis.plot.tag='chart') read_demo('googleVis', 'googleVis') ``` ```{r testData, tidy=FALSE} ``` ```{r LineChart, results='asis', tidy=FALSE} ``` ### Line chart with two axis ```{r TwoAxis, results='asis', tidy=FALSE} ``` ## Bar chart ```{r BarChart, results='asis', tidy=FALSE} ``` ## Column chart ```{r ColumnChart, results='asis', tidy=FALSE} ``` ## Area chart ```{r AreaChart, results='asis', tidy=FALSE} ``` ## Stepped Area chart ```{r SteppedAreaChart, results='asis', tidy=FALSE} ``` ## Combo chart ```{r ComboChart, results='asis', tidy=FALSE} ``` ## Scatter chart ```{r ScatterChart, results='asis', tidy=FALSE} ``` ## Bubble chart ```{r BubbleChart, results='asis', tidy=FALSE} ``` ### Customizing Lines ```{r CustomizingLines, results='asis', tidy=FALSE} ``` ## Customizing points ```{r ScatterChartPoints, results='asis', tidy=FALSE} ``` ### Add edit button for on the fly customisation ```{r EditButton, results='asis', tidy=FALSE} ``` The same option is available for all other charts as well. ### A chart with many options set ```{r SettingOptions, results='asis', tidy=FALSE} ``` ## Candlestick chart ```{r CandlestickChart, results='asis', tidy=FALSE} ``` ## Pie chart ```{r PieChart, results='asis', tidy=FALSE} ``` ## Gauge ```{r Gauge, results='asis', tidy=FALSE} ``` ## Intensity Map ```{r IntensityMap, results='asis', tidy=FALSE} ``` ## Geo Chart ```{r GeoChart, results='asis', tidy=FALSE} ``` ### Example showing US data by state ```{r USStateData, results='asis', tidy=FALSE} ``` ### Show Hurricane Andrew (1992) storm track with markers ```{r GeoChartHurricaneAndrew, results='asis', tidy=FALSE} ``` ## Google Maps ```{r GoogleMapHurricaneAndrew, results='asis', tidy=FALSE} ``` ## Table ```{r Table, results='asis', tidy=FALSE} ``` Click on the column header to sort the rows ### Table with pages ```{r TableWithPages, results='asis', tidy=FALSE} ``` ## Org chart ```{r OrgChart, results='asis', tidy=FALSE} ``` Double click on a parent to collapse all its children. ## Tree Map ```{r TreeMap, results='asis', tidy=FALSE} ``` Left mouse-click to drill down, right mouse-click to move up a level. ## Annotation chart ```{r AnnotationChart, results='asis', tidy=FALSE} ``` ## Sankey chart ```{r SankeyChart, results='asis', tidy=FALSE} ``` ## Histogram ```{r Histogram, results='asis', tidy=FALSE} ``` ## Calendar chart ```{r CalendarChart, results='asis', tidy=FALSE} ``` ## Timeline chart ```{r Timeline, results='asis', tidy=FALSE} ``` ## Merging charts ```{r gvisMerge, results='asis', tidy=FALSE} ``` # Flash charts All the following charts require a Flash player. ## Motion chart ```{r MotionChart, results='asis', tidy=FALSE} ``` You can change some of displaying settings via the browser, e.g. the level of opacity of non-selected items, or the chart type. The state string from the 'Advanced' tab can be used to set those settings via R. Just copy and past the string from the browser into the argument state of the options list. Here is an example of a motion chart, with an initial line chart displayed. ```{r MotionChartSettings, results='asis', tidy=FALSE} ``` ## Geo Map ```{r GeoMap, results='asis', tidy=FALSE} ``` ## Annotated time line chart ```{r AnnotatedTimeLine, results='asis', tidy=FALSE} ``` googleVis/inst/doc/googleVis.R0000644000176200001440000004121113032146654016016 0ustar liggesusers### R code from vignette source 'googleVis.Rnw' ################################################### ### code chunk number 1: options ################################################### options(prompt = "R> ", digits = 4, show.signif.stars = FALSE) ################################################### ### code chunk number 2: googleVis.Rnw:233-268 (eval = FALSE) ################################################### ## ## Code for screen shot ## MC <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(width=500, height=300)) ## ATL <- gvisAnnotatedTimeLine(Stock, datevar="Date", ## numvar="Value", idvar="Device", ## titlevar="Title", annotationvar="Annotation", ## options=list( ## width=300, height=300, ## fill=10, displayExactValues=TRUE, ## colors="['#0000ff','#00ff00']") ## ) ## ## Map <- gvisMap(Andrew, "LatLong" , "Tip", ## options=list(showTip=TRUE, showLine=TRUE, enableScrollWheel=TRUE, ## mapType='terrain', useMapTypeControl=TRUE, ## width=400, height=200)) ## Geo <- gvisGeoMap(Exports, locationvar='Country', numvar='Profit', ## options=list(dataMode="regions", width=400,height=200)) ## ## ## Table with enabled paging ## Table <- gvisTable(Population, options=list(page='enable', height=200, width=500)) ## ## Tree <- gvisTreeMap(Regions, "Region", "Parent", "Val", "Fac", ## options=list(width=300, height=200, ## fontSize=16, ## minColor='#EDF8FB', ## midColor='#66C2A4', ## maxColor='#006D2C', ## headerHeight=20, ## fontColor='black', ## showScale=TRUE)) ## ## M <- gvisMerge(gvisMerge(gvisMerge(MC, ATL, TRUE, tableOptions="cellspacing=10"), ## gvisMerge(Map, Geo, TRUE, tableOptions="cellspacing=10")), ## gvisMerge(Table, Tree, TRUE, tableOptions="cellspacing=10")) ## plot(M) ################################################### ### code chunk number 3: googleVis.Rnw:284-285 (eval = FALSE) ################################################### ## install.packages('googleVis') ################################################### ### code chunk number 4: googleVis.Rnw:289-290 ################################################### library(googleVis) ################################################### ### code chunk number 5: googleVis.Rnw:292-293 (eval = FALSE) ################################################### ## library(googleVis) ################################################### ### code chunk number 6: googleVis.Rnw:295-296 ################################################### cat(googleVis:::gvisWelcomeMessage()) ################################################### ### code chunk number 7: googleVis.Rnw:325-326 (eval = FALSE) ################################################### ## help('gvisMotionChart') ################################################### ### code chunk number 8: googleVis.Rnw:371-373 ################################################### data(Fruits) Fruits ################################################### ### code chunk number 9: googleVis.Rnw:380-381 ################################################### M <- gvisMotionChart(Fruits, idvar="Fruit", timevar="Year") ################################################### ### code chunk number 10: googleVis.Rnw:385-386 (eval = FALSE) ################################################### ## str(M) ################################################### ### code chunk number 11: googleVis.Rnw:388-390 ################################################### ## This statement avoids truncation cat(paste(substring( capture.output( str(M) ) , 0, 66), sep="\n", collapse="\n")) ################################################### ### code chunk number 12: googleVis.Rnw:395-397 ################################################### M$type M$chartid ################################################### ### code chunk number 13: googleVis.Rnw:404-405 ################################################### print(M, tag='header') ################################################### ### code chunk number 14: googleVis.Rnw:420-421 ################################################### names(M$html$chart) ################################################### ### code chunk number 15: googleVis.Rnw:424-425 ################################################### print(M, tag='chart') ## or cat(M$html$chart) ################################################### ### code chunk number 16: googleVis.Rnw:428-429 (eval = FALSE) ################################################### ## cat(M$html$chart['jsChart']) # or print(M, 'jsChart') ################################################### ### code chunk number 17: googleVis.Rnw:431-432 ################################################### cat(paste(substring( capture.output( cat(M$html$chart['jsChart']) ) , 0, 66), sep="\n", collapse="\n")) ################################################### ### code chunk number 18: googleVis.Rnw:437-438 (eval = FALSE) ################################################### ## print(M, tag='caption') ################################################### ### code chunk number 19: googleVis.Rnw:440-441 ################################################### cat(paste(substring( capture.output( cat(M$html$caption) ) , 0, 66), sep="\n", collapse="\n")) ################################################### ### code chunk number 20: googleVis.Rnw:444-445 (eval = FALSE) ################################################### ## print(M, tag='footer') ################################################### ### code chunk number 21: googleVis.Rnw:447-448 ################################################### cat(paste(substring( capture.output( cat(M$html$footer) ) , 0, 66), sep="\n", collapse="\n")) ################################################### ### code chunk number 22: googleVis.Rnw:455-456 (eval = FALSE) ################################################### ## plot(M) # returns invisibly the file name ################################################### ### code chunk number 23: googleVis.Rnw:471-472 (eval = FALSE) ################################################### ## print(M, file="myGoogleVisChart.html") ################################################### ### code chunk number 24: googleVis.Rnw:501-502 (eval = FALSE) ################################################### ## plot.gvis("/Users/JoeBloggs/myGoogleVisChart.html") ################################################### ### code chunk number 25: googleVis.Rnw:558-567 ################################################### G <- gvisGeoChart(Exports, "Country", "Profit", options=list(width=200, height=100)) T <- gvisTable(Exports, options=list(width=200, height=270)) M <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(width=400, height=370)) GT <- gvisMerge(G,T, horizontal=FALSE) GTM <- gvisMerge(GT, M, horizontal=TRUE, tableOptions="bgcolor=\"#CCCCCC\" cellspacing=10") ################################################### ### code chunk number 26: googleVis.Rnw:569-570 (eval = FALSE) ################################################### ## plot(GTM) ################################################### ### code chunk number 27: googleVis.Rnw:590-611 (eval = FALSE) ################################################### ## df <- data.frame(country=c("US", "GB", "BR"), ## val1=c(1,3,4), val2=c(23,12,32)) ## ## Line <- gvisLineChart(df, xvar="country", yvar=c("val1","val2"), ## options=list( ## title="Hello World", ## titleTextStyle="{color:'red', ## fontName:'Courier', ## fontSize:16}", ## backgroundColor="#D3D3D3", ## vAxis="{gridlines:{color:'red', count:3}}", ## hAxis="{title:'Country', titleTextStyle:{color:'blue'}}", ## series="[{color:'green', targetAxisIndex: 0}, ## {color: 'orange',targetAxisIndex:1}]", ## vAxes="[{title:'val1'}, {title:'val2'}]", ## legend="bottom", ## curveType="function", ## width=500, ## height=300 ## )) ## plot(Line) ################################################### ### code chunk number 28: googleVis.Rnw:659-667 (eval = FALSE) ################################################### ## Geo <- gvisGeoChart(CityPopularity, locationvar='City', ## colorvar='Popularity', ## options=list(region='US', height=350, ## displayMode='markers', ## colorAxis="{values:[200,400,600,800], ## colors:[\'red', \'pink\', \'orange',\'green']}") ## ) ## plot(Geo) ################################################### ### code chunk number 29: googleVis.Rnw:685-687 (eval = FALSE) ################################################### ## Editor <- gvisLineChart(df, options=list(gvis.editor='Edit me!')) ## plot(Editor) ################################################### ### code chunk number 30: googleVis.Rnw:709-716 ################################################### df <- data.frame("Year"=c(2009,2010), "Lloyd\\'s"=c(86.1, 93.3), "Munich Re\\'s R/I"=c(95.3, 100.5), check.names=FALSE) df CR <- gvisColumnChart(df, options=list(vAxis='{baseline:0}', title="Combined Ratio %", legend="{position:'bottom'}")) ################################################### ### code chunk number 31: googleVis.Rnw:718-719 (eval = FALSE) ################################################### ## plot(CR) ################################################### ### code chunk number 32: googleVis.Rnw:737-738 (eval = FALSE) ################################################### ## print(M, 'chart') ## or cat(M$html$chart) ################################################### ### code chunk number 33: googleVis.Rnw:741-742 (eval = FALSE) ################################################### ## print(M, 'chart', file='myfilename') ################################################### ### code chunk number 34: googleVis.Rnw:763-765 (eval = FALSE) ################################################### ## M <- gvisMotionChart(Fruits, "Fruit", "Year", ## options=list(width=400, height=370)) ################################################### ### code chunk number 35: googleVis.Rnw:768-769 (eval = FALSE) ################################################### ## print(M, 'chart') ################################################### ### code chunk number 36: googleVis.Rnw:806-808 ################################################### M <- gvisMotionChart(Fruits, "Fruit", "Year") G <- createGoogleGadget(M) ################################################### ### code chunk number 37: googleVis.Rnw:810-811 (eval = FALSE) ################################################### ## cat(G, file="myGadget.xml") ################################################### ### code chunk number 38: googleVis.Rnw:943-944 (eval = FALSE) ################################################### ## install.packages('brew') ################################################### ### code chunk number 39: googleVis.Rnw:978-979 (eval = FALSE) ################################################### ## system.file("brew", package = "googleVis") ################################################### ### code chunk number 40: googleVis.Rnw:1003-1043 (eval = FALSE) ################################################### ## require(Rook) ## require(googleVis) ## s <- Rhttpd$new() ## s$start(listen='127.0.0.1') ## ## my.app <- function(env){ ## ## Start with a table and allow the user to upload a CSV-file ## req <- Request$new(env) ## res <- Response$new() ## ## ## Provide some data to start with ## ## Exports is a sample data set of googleVis ## data <- Exports[,1:2] ## ## Add functionality to upload CSV-file ## if (!is.null(req$POST())) { ## ## Read data from uploaded CSV-file ## data <- req$POST()[["data"]] ## data <- read.csv(data$tempfile) ## } ## ## Create table with googleVis ## tbl <- gvisTable(data, ## options=list(gvis.editor="Edit me!", ## height=350), ## chartid="myInitialView") ## ## Write the HTML output and ## ## make use of the googleVis HTML output. ## ## See vignette('googleVis') for more details ## res$write(tbl$html$header) ## res$write("

My first Rook app with googleVis

") ## res$write(tbl$html$chart) ## res$write(' ## Read CSV file:
## ## \n
') ## res$write(tbl$html$footer) ## res$finish() ## } ## s$add(app=my.app, name='googleVisTable') ## ## Open a browser window and display the web app ## s$browse('googleVisTable') ################################################### ### code chunk number 41: googleVis.Rnw:1062-1089 (eval = FALSE) ################################################### ## # server.R ## library(googleVis) ## ## shinyServer(function(input, output) { ## datasetInput <- reactive({ ## switch(input$dataset, ## "rock" = rock, ## "pressure" = pressure, ## "cars" = cars) ## }) ## ## output$view <- renderGvis({ ## gvisScatterChart(datasetInput()) ## }) ## }) ## ## # ui.R ## shinyUI(pageWithSidebar( ## headerPanel("googleVis on Shiny"), ## sidebarPanel( ## selectInput("dataset", "Choose a dataset:", ## choices = c("rock", "pressure", "cars")) ## ), ## mainPanel( ## htmlOutput("view") ## ) ## )) ################################################### ### code chunk number 42: googleVis.Rnw:1100-1102 (eval = FALSE) ################################################### ## library(shiny) ## Version >= 0.4.0 required ## runApp(system.file("shiny/", package="googleVis")) ################################################### ### code chunk number 43: googleVis.Rnw:1301-1307 (eval = FALSE) ################################################### ## jscode <- "window.open('http://en.wikipedia.org/wiki/' ## + data.getValue(chart.getSelection()[0].row,0)); " ## ## J1 <- gvisGeoMap(Exports, locationvar='Country', numvar='Profit', ## options=list(dataMode="regions", gvis.listener.jscode=jscode)) ## plot(J1) ################################################### ### code chunk number 44: googleVis.Rnw:1310-1312 (eval = FALSE) ################################################### ## plot(gvisOrgChart(Regions, options=list(gvis.listener.jscode=jscode))) ## plot(gvisLineChart(Regions[,c(1,3)], options=list(gvis.listener.jscode=jscode))) ################################################### ### code chunk number 45: googleVis.Rnw:1316-1324 (eval = FALSE) ################################################### ## jscode <- " ## var sel = chart.getSelection(); ## var row = sel[0].row; ## var text = data.getValue(row,1); ## alert(text); ## " ## J2 <- gvisTable(Population, options=list(gvis.listener.jscode=jscode)) ## plot(J2) ################################################### ### code chunk number 46: googleVis.Rnw:1385-1395 (eval = FALSE) ################################################### ## library(googleVis) ## dat <- data.frame(x=LETTERS[1:10], ## y=c(0, 4, -2, 2, 4, 3, 8, 15, 10, 4)) ## area1 <- gvisAreaChart(xvar="x", yvar="y", data=dat, ## options=list(vAxes="[{viewWindowMode:'explicit', ## viewWindow:{min:0, max:10}}]", ## width=500, height=400, ## title="y-limits set from 0 to 10"), ## chartid="area1ylim") ## plot(area1) ################################################### ### code chunk number 47: googleVis.Rnw:1425-1426 (eval = FALSE) ################################################### ## citation("googleVis") ################################################### ### code chunk number 48: googleVis.Rnw:1429-1430 (eval = FALSE) ################################################### ## citation() googleVis/inst/doc/Using_Trendlines_with_googleVis.html0000644000176200001440000006266213032146654023165 0ustar liggesusers Using Trendlines with googleVis

Using Trendlines with googleVis

A trendline is a line superimposed on a chart revealing the overall direction of the data. Google Charts can automatically generate trendlines for Scatter Charts, Bar Charts, Column Charts and Line Charts.

For more details visit: https://developers.google.com/chart/interactive/docs/gallery/trendlines

Linear trend line

plot(
  gvisScatterChart(women, options=list(trendlines="0"))
)

Exponential trend line with equation shown in legend

plot(
  gvisScatterChart(women, options=list(
    trendlines="{0: { type: 'exponential',  
                     visibleInLegend: 'true', 
                     color: 'green',
                     lineWidth: 10,
                     opacity: 0.5}}",
    chartArea="{left:50,top:20,width:'50%',height:'75%'}"))
)

Add trend line to column chart

dat <- data.frame(val1=c(1,3,4,5,6,8), 
                  val2=c(12,23,32,40,50,55))
plot(
  gvisColumnChart(dat,
                  options=list(trendlines="{0: {}}"))
)

Changing labels in legend

dat$val3 <- c(5,6,10,12,15,20)
plot(
  gvisColumnChart(dat,
                  options=list(trendlines="{
                          0: {
                            labelInLegend: 'Trendline 1',
                            visibleInLegend: true,}, 
                          1:{
                            labelInLegend: 'Trendline 2',
                            visibleInLegend: true}
                          }",
                          chartArea="{left:50,top:20,
                                      width:'50%',height:'75%'}"
                  ))
)
googleVis/inst/doc/Using_googleVis_with_knitr.html0000644000176200001440000006253213032146654022201 0ustar liggesusers Markdown example with knitr and googleVis

Markdown example with knitr and googleVis

This is a little Markdown example output. The Markdown source file is hosted on GitHub.

Set the googleVis options first to change the behaviour of plot.gvis, so that only the chart component of the HTML file is written into the output file.

library(googleVis)
op <- options(gvis.plot.tag='chart')

The following plot statements will automatically return the HTML required for the 'knitted' output.

Combo chart

## Add the mean
CityPopularity$Mean=mean(CityPopularity$Popularity)
CC <- gvisComboChart(CityPopularity, xvar='City',
          yvar=c('Mean', 'Popularity'),
          options=list(seriesType='bars',
                       width=450, height=300,
                       title='City Popularity',
                       series='{0: {type:\"line\"}}'))
plot(CC)

Example of gvisComboChart with R code shown above.

Place two charts next to each other

Example of a gvisGeoChart with gvisTable and R code hidden.

Motion Chart

M <- gvisMotionChart(Fruits, 'Fruit', 'Year',
         options=list(width=400, height=350))
plot(M)

Please note that the Motion Chart is only displayed when hosted on a web server, or if placed in a directory which has been added to the trusted sources in the security settings of Macromedia. See the googleVis package vignette for more details. 

## Set options back to original options
options(op)
googleVis/inst/doc/Using_Trendlines_with_googleVis.Rmd0000644000176200001440000000170313032146654022730 0ustar liggesusers # Using Trendlines with googleVis A trendline is a line superimposed on a chart revealing the overall direction of the data. Google Charts can automatically generate trendlines for Scatter Charts, Bar Charts, Column Charts and Line Charts. For more details visit: https://developers.google.com/chart/interactive/docs/gallery/trendlines ```{r setOptions, message=FALSE, echo=FALSE} library(googleVis) library(knitr) op <- options(gvis.plot.tag='chart') read_demo('Trendlines', 'googleVis') ``` ## Linear trend line ```{r LinearTrend, results='asis', tidy=FALSE} ``` ## Exponential trend line with equation shown in legend ```{r ExponentialTrend, results='asis', tidy=FALSE} ``` ## Add trend line to column chart ```{r ColumnChartWithTrendline, results='asis', tidy=FALSE} ``` ## Changing labels in legend ```{r DifferentLabels, results='asis', tidy=FALSE} ``` googleVis/inst/doc/googleVis_examples.html0000644000176200001440000064200413032146654020466 0ustar liggesusers googleVis examples

googleVis examples

It may take a little while to load all charts. Please be patient. All charts require an Internet connection.

These examples are taken from the googleVis demo. You can execute the demo via

library(googleVis)
demo(googleVis)

For more details about the charts and further examples see the helpfiles of the individual googleVis function and review the Google Charts API documentation and Terms of Service.

Line chart

df=data.frame(country=c("US", "GB", "BR"), 
              val1=c(10,13,14), 
              val2=c(23,12,32))

Line <- gvisLineChart(df)
plot(Line)

Line chart with two axis

Line2 <- gvisLineChart(df, "country", c("val1","val2"),
                       options=list(
                         series="[{targetAxisIndex: 0},
                                 {targetAxisIndex:1}]",
                         vAxes="[{title:'val1'}, {title:'val2'}]"
                       ))
plot(Line2)

Bar chart

Bar <- gvisBarChart(df)
plot(Bar)

Column chart

Column <- gvisColumnChart(df)
plot(Column)

Area chart

Area <- gvisAreaChart(df)
plot(Area)

Stepped Area chart

SteppedArea <- gvisSteppedAreaChart(df, xvar="country", 
                                    yvar=c("val1", "val2"),
                                    options=list(isStacked=TRUE))
plot(SteppedArea)

Combo chart

Combo <- gvisComboChart(df, xvar="country",
                        yvar=c("val1", "val2"),
                        options=list(seriesType="bars",
                                     series='{1: {type:"line"}}'))
plot(Combo)

Scatter chart

Scatter <- gvisScatterChart(women, 
                            options=list(
                              legend="none",
                              lineWidth=2, pointSize=0,
                              title="Women", vAxis="{title:'weight (lbs)'}",
                              hAxis="{title:'height (in)'}", 
                              width=300, height=300))
plot(Scatter)

Bubble chart

Bubble <- gvisBubbleChart(Fruits, idvar="Fruit", 
                          xvar="Sales", yvar="Expenses",
                          colorvar="Year", sizevar="Profit",
                          options=list(
                            hAxis='{minValue:75, maxValue:125}'))
plot(Bubble)

Customizing Lines

Dashed <-  gvisLineChart(df, xvar="country", yvar=c("val1","val2"),
                        options=list(
                          series="[{color:'green', targetAxisIndex: 0, 
                          lineWidth: 1, lineDashStyle: [2, 2, 20, 2, 20, 2]}, 
                          {color: 'blue',targetAxisIndex: 1, 
                          lineWidth: 2, lineDashStyle: [4, 1]}]",
                          vAxes="[{title:'val1'}, {title:'val2'}]"
                        ))
plot(Dashed)

Customizing points

M <- matrix(nrow=6,ncol=6)
M[col(M)==row(M)] <- 1:6
dat <- data.frame(X=1:6, M)
SC <- gvisScatterChart(dat, 
                       options=list(
                         title="Customizing points",
                         legend="right",
                         pointSize=30,
                         series="{
                              0: { pointShape: 'circle' },
                              1: { pointShape: 'triangle' },
                              2: { pointShape: 'square' },
                              3: { pointShape: 'diamond' },
                              4: { pointShape: 'star' },
                              5: { pointShape: 'polygon' }
                              }"))
plot(SC)

Add edit button for on the fly customisation

Line4 <-  gvisLineChart(df, "country", c("val1","val2"),
                        options=list(gvis.editor="Edit me!"))
plot(Line4)

The same option is available for all other charts as well.

A chart with many options set

Line3 <-  gvisLineChart(df, xvar="country", yvar=c("val1","val2"),
                        options=list(
                          title="Hello World",
                          titleTextStyle="{color:'red', 
                                           fontName:'Courier', 
                                           fontSize:16}",                         
                          backgroundColor="#D3D3D3",                          
                          vAxis="{gridlines:{color:'red', count:3}}",
                          hAxis="{title:'Country', titleTextStyle:{color:'blue'}}",
                          series="[{color:'green', targetAxisIndex: 0}, 
                                   {color: 'orange',targetAxisIndex:1}]",
                          vAxes="[{title:'val1'}, {title:'val2'}]",
                          legend="bottom",
                          curveType="function",
                          width=500,
                          height=300                         
                        ))
plot(Line3)

Candlestick chart

Candle <- gvisCandlestickChart(OpenClose, 
                               options=list(legend='none'))
plot(Candle)

Pie chart

Pie <- gvisPieChart(CityPopularity)
plot(Pie)

Gauge

Gauge <-  gvisGauge(CityPopularity, 
                    options=list(min=0, max=800, greenFrom=500,
                                 greenTo=800, yellowFrom=300, yellowTo=500,
                                 redFrom=0, redTo=300, width=400, height=300))
plot(Gauge)

Intensity Map

Intensity <- gvisIntensityMap(df)
plot(Intensity)

Geo Chart

Geo=gvisGeoChart(Exports, locationvar="Country", 
                 colorvar="Profit",
                 options=list(projection="kavrayskiy-vii"))
plot(Geo)

Example showing US data by state

require(datasets)
states <- data.frame(state.name, state.x77)
GeoStates <- gvisGeoChart(states, "state.name", "Illiteracy",
                          options=list(region="US", 
                                       displayMode="regions", 
                                       resolution="provinces",
                                       width=600, height=400))
plot(GeoStates)

Show Hurricane Andrew (1992) storm track with markers

GeoMarker <- gvisGeoChart(Andrew, "LatLong", 
                          sizevar='Speed_kt',
                          colorvar="Pressure_mb", 
                          options=list(region="US"))
plot(GeoMarker)

Google Maps

AndrewMap <- gvisMap(Andrew, "LatLong" , "Tip", 
                     options=list(showTip=TRUE, 
                                  showLine=TRUE, 
                                  enableScrollWheel=TRUE,
                                  mapType='terrain', 
                                  useMapTypeControl=TRUE))
plot(AndrewMap)

Table

Table <- gvisTable(Stock, 
                   formats=list(Value="#,###"))
plot(Table)

Click on the column header to sort the rows

Table with pages

PopTable <- gvisTable(Population, 
                      formats=list(Population="#,###",
                                   '% of World Population'='#.#%'),
                      options=list(page='enable'))
plot(PopTable)

Org chart

Org <- gvisOrgChart(Regions, 
                    options=list(width=600, height=250,
                                 size='large', allowCollapse=TRUE))
plot(Org)

Double click on a parent to collapse all its children.

Tree Map

Tree <- gvisTreeMap(Regions,  
                    "Region", "Parent", 
                    "Val", "Fac", 
                    options=list(fontSize=16))
plot(Tree)

Left mouse-click to drill down, right mouse-click to move up a level.

Annotation chart

Anno <- gvisAnnotationChart(Stock, 
                            datevar="Date",
                            numvar="Value", 
                            idvar="Device",
                            titlevar="Title", 
                            annotationvar="Annotation",
                            options=list(
                              width=600, height=350,
                              fill=10, displayExactValues=TRUE,
                              colors="['#0000ff','#00ff00']")
)
plot(Anno)

Sankey chart

datSK <- data.frame(From=c(rep("A",3), rep("B", 3)),
                    To=c(rep(c("X", "Y", "Z"),2)),
                    Weight=c(5,7,6,2,9,4))

Sankey <- gvisSankey(datSK, from="From", to="To", weight="Weight",
                     options=list(
                       sankey="{link: {color: { fill: '#d799ae' } },
                            node: { color: { fill: '#a61d4c' },
                            label: { color: '#871b47' } }}"))
plot(Sankey)

Histogram

set.seed(123)
datHist=data.frame(A=rpois(100, 20),
                   B=rpois(100, 5),
                   C=rpois(100, 50))

Hist <- gvisHistogram(datHist, options=list(
  legend="{ position: 'top', maxLines: 2 }",
  colors="['#5C3292', '#1A8763', '#871B47']",
  width=400, height=360))
plot(Hist)

Calendar chart

Cal <- gvisCalendar(Cairo, 
                    datevar="Date", 
                    numvar="Temp",
                    options=list(
                      title="Daily temperature in Cairo",
                      height=320,
                      calendar="{yearLabel: { fontName: 'Times-Roman',
                               fontSize: 32, color: '#1A8763', bold: true},
                               cellSize: 10,
                               cellColor: { stroke: 'red', strokeOpacity: 0.2 },
                               focusedCellColor: {stroke:'red'}}")
)
plot(Cal)

Timeline chart

datTL <- data.frame(Position=c(rep("President", 3), rep("Vice", 3)),
                    Name=c("Washington", "Adams", "Jefferson",
                           "Adams", "Jefferson", "Burr"),
                    start=as.Date(x=rep(c("1789-03-29", "1797-02-03", 
                                          "1801-02-03"),2)),
                    end=as.Date(x=rep(c("1797-02-03", "1801-02-03", 
                                        "1809-02-03"),2)))

Timeline <- gvisTimeline(data=datTL, 
                         rowlabel="Name",
                         barlabel="Position",
                         start="start", 
                         end="end",
                         options=list(timeline="{groupByRowLabel:false}",
                                      backgroundColor='#ffd', 
                                      height=350,
                                      colors="['#cbb69d', '#603913', '#c69c6e']"))
plot(Timeline)

Merging charts

G <- gvisGeoChart(Exports, "Country", "Profit", 
                  options=list(width=300, height=300))
T <- gvisTable(Exports, 
               options=list(width=220, height=300))

GT <- gvisMerge(G,T, horizontal=TRUE) 
plot(GT)

Flash charts

All the following charts require a Flash player.

Motion chart

Motion=gvisMotionChart(Fruits, 
                       idvar="Fruit", 
                       timevar="Year")
plot(Motion)

You can change some of displaying settings via the browser, e.g. the level of opacity of non-selected items, or the chart type. The state string from the 'Advanced' tab can be used to set those settings via R. Just copy and past the string from the browser into the argument state of the options list. Here is an example of a motion chart, with an initial line chart displayed. 

myStateSettings <-'
{"xZoomedDataMin":1199145600000,"colorOption":"2",
"duration":{"timeUnit":"Y","multiplier":1},"yLambda":1,
"yAxisOption":"4","sizeOption":"_UNISIZE",
"iconKeySettings":[],"xLambda":1,"nonSelectedAlpha":0,
"xZoomedDataMax":1262304000000,"iconType":"LINE",
"dimensions":{"iconDimensions":["dim0"]},
"showTrails":false,"uniColorForNonSelected":false,
"xAxisOption":"_TIME","orderedByX":false,"playDuration":15000,
"xZoomedIn":false,"time":"2010","yZoomedDataMin":0,
"yZoomedIn":false,"orderedByY":false,"yZoomedDataMax":100}
'
M <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(state=myStateSettings))
plot(M)

## See demo(package='googleVis') for other available demos.

Geo Map

AndrewGeo <- gvisGeoMap(Andrew, 
                        locationvar="LatLong", 
                        numvar="Speed_kt", 
                        hovervar="Category", 
                        options=list(height=350, 
                                     region="US", 
                                     dataMode="markers"))

## Warning in gvisGeoMap(Andrew, locationvar = "LatLong", numvar = "Speed_kt", : GeoMap (gvisGeoMap) is Flash based, conisder using GeoChart (gvisGeoChart) instead.
## For more details visit: goo.gl/tkiEV8

plot(AndrewGeo)

Annotated time line chart

AnnoTimeLine  <- gvisAnnotatedTimeLine(Stock, 
                                       datevar="Date",
                                       numvar="Value", 
                                       idvar="Device",
                                       titlevar="Title", 
                                       annotationvar="Annotation",
                                       options=list(displayAnnotations=TRUE,
                                                    width="600px", height="350px"))

## Warning in gvisAnnotatedTimeLine(Stock, datevar = "Date", numvar = "Value", : AnnotatedTimeline (gvisAnnotatedTimeLine) is Flash based, conisder using  AnnotationChart (gvisAnnotationChart) instead.
## For more details visit: goo.gl/tkiEV8

plot(AnnoTimeLine)
googleVis/inst/brew/0000755000176200001440000000000013032146660014125 5ustar liggesusersgoogleVis/inst/brew/andrew.html0000644000176200001440000000165612737123564016314 0ustar liggesusers<% setContentType("text/html") %>

Hurricane Andrew

<% require(googleVis) AndrewGeoMap <- gvisGeoMap(Andrew, locationvar="LatLong", numvar="Speed_kt", hovervar="Category", options=list(width=800,height=400, region="US")) AndrewTable <- gvisTable(Andrew,options=list(width=800)) AndrewMap <- gvisMap(Andrew, "LatLong" , "Tip", options=list(showTip=TRUE, showLine=TRUE, enableScrollWheel=TRUE, mapType='hybrid', useMapTypeControl=TRUE, width=800,height=400)) %>
<%= AndrewMap$html$chart %>
<%= AndrewGeoMap$html$chart %>
<%= AndrewTable$html$chart %> googleVis/inst/brew/Stock.html0000644000176200001440000000305712737123564016114 0ustar liggesusers <% setContentType("text/html") %>

Apple Inc. Stock Performance

<% require(googleVis) d <- Sys.time() ## get current date and time current.year <- format(d, "%Y") current.month <- format(d, "%m") current.day <- format(Sys.time(), "%d") ##Yahoo finance sets January to 00 hence: month <- as.numeric(current.month) - 1 month <- ifelse(month < 10, paste("0",month, sep=""), m) ## weekly stock prices from Apple Inc. fn <- sprintf('http://ichart.finance.yahoo.com/table.csv?s=AAPL&a=08&b=7&c=1984&d=%s&e=%s&f=%s&g=w&ignore=.csv', month, current.day, current.year) ## Get Data from Yahoo Finance data <- read.csv(fn, colClasses=c("Date", rep("numeric",6))) AAPL <- reshape(data[,c("Date", "Close", "Volume")], idvar="Date", times=c("Close", "Volume"), timevar="Type", varying=list(c("Close", "Volume")), v.names="Value", "Type", direction="long") ## calculate date last year for zoom start time lyd <- as.POSIXlt(as.Date(d)) lyd$year <- lyd$year-1 lyd <- as.Date(lyd) aapl <- gvisAnnotatedTimeLine(AAPL, datevar="Date", numvar="Value", idvar="Type", options=list( zoomStartTime=lyd, zoomEndTime=as.Date(d), legendPosition='newRow', width=600, height=400, scaleColumns='[0,1]', scaleType='allmaximized') ) %>
<%= aapl$html$chart %>
googleVis/NAMESPACE0000644000176200001440000000174512761475633013454 0ustar liggesusersimportFrom(methods, setMethod, is) importFrom(utils, packageDescription, browseURL, type.convert) importFrom(stats, na.omit, reshape) importFrom(tools, startDynamicHelp) importFrom(jsonlite, toJSON) importFrom(jsonlite, unbox) # Methods S3method(plot, gvis) S3method(print, gvis) # gvis Charts export(gvisMotionChart) export(gvisGeoMap) export(gvisIntensityMap) export(gvisTreeMap) export(gvisTable) export(gvisPieChart) export(gvisGauge) export(gvisOrgChart) export(gvisBubbleChart) export(gvisAnnotatedTimeLine) export(gvisMap) export(gvisGeoChart) export(gvisScatterChart) export(gvisLineChart) export(gvisAreaChart) export(gvisBarChart) export(gvisColumnChart) export(gvisComboChart) export(gvisCandlestickChart) export(gvisSteppedAreaChart) export(gvisCalendar) export(gvisHistogram) export(gvisAnnotationChart) export(gvisTimeline) export(gvisSankey) # Support function export(renderGvis) export(createGoogleGadget) export(gvisMerge) googleVis/demo/0000755000176200001440000000000012737123564013146 5ustar liggesusersgoogleVis/demo/Roles.R0000644000176200001440000001211212737123564014352 0ustar liggesusers# Add the ability to pass columns roles for further # processing downstream # # Thanks to Oliver Gjoneski # # Role columns must follow column they pertain to. Proper naming # conventions must be be observed. For example, roles fulfilling tooltip # roles and must be called "foo.blah.tooltip". # # For more details see: # https://developers.google.com/chart/interactive/docs/roles ## ---- Tooltip ---- df <- data.frame(year=1:11,pop=1:11, pop.html.tooltip=letters[1:11]) plot( gvisScatterChart(df) ) ## ---- TooltipHTML ---- levels(df$pop.html.tooltip)[1] <- 'R logo' plot( gvisScatterChart(df, options=list(tooltip="{isHtml:'true'}")) ) ## ---- CertaintyScopeEmphasis ---- df <- data.frame(year=1:11, x=1:11, x.scope=c(rep(TRUE, 8), rep(FALSE, 3)), y=11:1, y.html.tooltip=LETTERS[11:1], y.certainty=c(rep(TRUE, 5), rep(FALSE, 6)), y.emphasis=c(rep(FALSE, 4), rep(TRUE, 7))) plot( gvisScatterChart(df,options=list(lineWidth=2)) ) ## ---- ColumnChart ---- dat <- data.frame(Year=2010:2013, Sales=c(600, 1500, 800, 1000), Sales.html.tooltip=c('$600K in our first year!', 'Sunspot activity made this our best year ever!', '$800K in 2012.', '$1M in sales last year.'), Sales.certainty=c(TRUE, FALSE, TRUE, FALSE)) plot( gvisColumnChart(dat, xvar='Year', yvar=c('Sales', 'Sales.certainty') ) ) ## ---- Interval ---- df <- data.frame(Year=2013:2014, Sales=c(120, 130), Sales.interval.1=c(100,110), Sales.interval.2=c(140, 150), Sales.interval.3=c(90, 100), Sales.interval.4=c(150, 170), Sales.style=c('red', 'gold'), Sales.annotation=c("North", "South"), check.names=FALSE) plot( gvisBarChart(df, xvar='Year', yvar=c('Sales', 'Sales.interval.1', 'Sales.interval.2', 'Sales.style', 'Sales.annotation') ) ) plot( gvisLineChart(df, xvar='Year', yvar=c('Sales', 'Sales.interval.1', 'Sales.interval.2'), options=list(series="[{color:'purple'}]") ) ) plot( gvisLineChart(df, xvar='Year', yvar=c('Sales', 'Sales.interval.1', 'Sales.interval.2', 'Sales.interval.3', 'Sales.interval.4'), options=list(series="[{color:'purple'}]", lineWidth=4, interval="{ 'i1': { 'style':'line', 'color':'#D3362D', 'lineWidth': 0.5 }, 'i2': { 'style':'line', 'color':'#F1CA3A', 'lineWidth': 1 }, 'i3': { 'style':'line', 'color':'#5F9654', 'lineWidth': 2 }, 'i4': { 'style':'line', 'color':'#5F9654', 'lineWidth': 3 } }") ) ) plot( gvisLineChart(df, xvar='Year', yvar=c('Sales', 'Sales.interval.1', 'Sales.interval.2', 'Sales.interval.3', 'Sales.interval.4'), options=list(series="[{color:'purple'}]", lineWidth=4, intervals="{ 'style':'area' }", interval="{ 'i1': { 'color': '#4374E0', 'style':'bars', 'barWidth':0, 'lineWidth':4, 'pointSize':10, 'fillOpacity':1 }, 'i2': { 'color': '#E49307', 'style':'bars', 'barWidth':0, 'lineWidth':4, 'pointSize':10, 'fillOpacity':1 }}" ) ) ) ## ---- TwoLines ---- df <- data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val1.emphasis=c(TRUE, TRUE, FALSE), val2=c(23,12,32)) plot( gvisLineChart(df, xvar="country", yvar=c("val1", "val1.emphasis") ) ) plot( gvisLineChart(df, xvar="country", yvar=c("val1", "val1.emphasis", "val2") ) ) ## ---- VerticalReferenceLine ---- dat <- data.frame(Year=2010:2013, Sales=c(600, 1500, 800, 1000), Sales.annotation=c('First year', NA, NA, 'Last Year'), Sales.annotationText=c('$600K in our first year!', NA, NA, '$1M in sales last year.')) plot( gvisLineChart(dat, xvar='Year', yvar=c('Sales', 'Sales.annotation', 'Sales.annotationText'), options=list(annotations = "{style:'line'}") ) ) googleVis/demo/00Index0000644000176200001440000000062012737123564014276 0ustar liggesusersgoogleVis Examples of various googleVis functions and plots AnimatedGeoChart Prototype of an animate a geo map with JavaScript EventListener Examples of basic JavaScript event handlers WorldBank Visualising country level data sourced from the World Bank Trendlines Adding trendlines to Scatter Charts, Bar Charts, Column Charts, and Line Charts Roles Concept and use of roles with googleVis googleVis/demo/googleVis.R0000644000176200001440000003237512737123564015241 0ustar liggesusers## ---- googleVis demo ---- ## ---- pauseFunction ---- pause <- function(){ invisible(readline("\nPress to continue: ")) } ## ---- testData ---- df=data.frame(country=c("US", "GB", "BR"), val1=c(10,13,14), val2=c(23,12,32)) ## ---- LineChart ---- Line <- gvisLineChart(df) plot(Line) ## ---- pause ---- pause() ## ---- TwoAxis ---- Line2 <- gvisLineChart(df, "country", c("val1","val2"), options=list( series="[{targetAxisIndex: 0}, {targetAxisIndex:1}]", vAxes="[{title:'val1'}, {title:'val2'}]" )) plot(Line2) ## ---- pause ---- pause() ## ---- SettingOptions ---- Line3 <- gvisLineChart(df, xvar="country", yvar=c("val1","val2"), options=list( title="Hello World", titleTextStyle="{color:'red', fontName:'Courier', fontSize:16}", backgroundColor="#D3D3D3", vAxis="{gridlines:{color:'red', count:3}}", hAxis="{title:'Country', titleTextStyle:{color:'blue'}}", series="[{color:'green', targetAxisIndex: 0}, {color: 'orange',targetAxisIndex:1}]", vAxes="[{title:'val1'}, {title:'val2'}]", legend="bottom", curveType="function", width=500, height=300 )) plot(Line3) ## ---- pause ---- pause() ## ---- CustomizingLines ---- Dashed <- gvisLineChart(df, xvar="country", yvar=c("val1","val2"), options=list( series="[{color:'green', targetAxisIndex: 0, lineWidth: 1, lineDashStyle: [2, 2, 20, 2, 20, 2]}, {color: 'blue',targetAxisIndex: 1, lineWidth: 2, lineDashStyle: [4, 1]}]", vAxes="[{title:'val1'}, {title:'val2'}]" )) plot(Dashed) ## ---- pause ---- pause() ## ---- EditButton ---- Line4 <- gvisLineChart(df, "country", c("val1","val2"), options=list(gvis.editor="Edit me!")) plot(Line4) ## ---- pause ---- pause() ## ---- BarChart ---- Bar <- gvisBarChart(df) plot(Bar) ## ---- pause ---- pause() ## ---- ColumnChart ---- Column <- gvisColumnChart(df) plot(Column) ## ---- pause ---- pause() ## ---- AreaChart ---- Area <- gvisAreaChart(df) plot(Area) ## ---- pause ---- pause() ## ---- SteppedAreaChart ---- SteppedArea <- gvisSteppedAreaChart(df, xvar="country", yvar=c("val1", "val2"), options=list(isStacked=TRUE)) plot(SteppedArea) ## ---- pause ---- pause() ## ---- ComboChart ---- Combo <- gvisComboChart(df, xvar="country", yvar=c("val1", "val2"), options=list(seriesType="bars", series='{1: {type:"line"}}')) plot(Combo) ## ---- pause ---- pause() ## ---- ScatterChart ---- Scatter <- gvisScatterChart(women, options=list( legend="none", lineWidth=2, pointSize=0, title="Women", vAxis="{title:'weight (lbs)'}", hAxis="{title:'height (in)'}", width=300, height=300)) plot(Scatter) ## ---- ScatterChartPoints ---- M <- matrix(nrow=6,ncol=6) M[col(M)==row(M)] <- 1:6 dat <- data.frame(X=1:6, M) SC <- gvisScatterChart(dat, options=list( title="Customizing points", legend="right", pointSize=30, series="{ 0: { pointShape: 'circle' }, 1: { pointShape: 'triangle' }, 2: { pointShape: 'square' }, 3: { pointShape: 'diamond' }, 4: { pointShape: 'star' }, 5: { pointShape: 'polygon' } }")) plot(SC) ## ---- pause ---- pause() ## ---- BubbleChart ---- Bubble <- gvisBubbleChart(Fruits, idvar="Fruit", xvar="Sales", yvar="Expenses", colorvar="Year", sizevar="Profit", options=list( hAxis='{minValue:75, maxValue:125}')) plot(Bubble) ## ---- pause ---- pause() ## ---- CandlestickChart ---- Candle <- gvisCandlestickChart(OpenClose, options=list(legend='none')) plot(Candle) ## ---- pause ---- pause() ## ---- PieChart ---- Pie <- gvisPieChart(CityPopularity) plot(Pie) ## ---- pause ---- pause() ## ---- Gauge ---- Gauge <- gvisGauge(CityPopularity, options=list(min=0, max=800, greenFrom=500, greenTo=800, yellowFrom=300, yellowTo=500, redFrom=0, redTo=300, width=400, height=300)) plot(Gauge) ## ---- pause ---- pause() ## ---- IntensityMap ---- Intensity <- gvisIntensityMap(df) plot(Intensity) ## ---- pause ---- pause() ## ---- GeoChart ---- Geo=gvisGeoChart(Exports, locationvar="Country", colorvar="Profit", options=list(projection="kavrayskiy-vii")) plot(Geo) ## ---- pause ---- pause() ## ---- USStateData ---- require(datasets) states <- data.frame(state.name, state.x77) GeoStates <- gvisGeoChart(states, "state.name", "Illiteracy", options=list(region="US", displayMode="regions", resolution="provinces", width=600, height=400)) plot(GeoStates) ## ---- pause ---- pause() ## ---- GeoChartHurricaneAndrew ---- GeoMarker <- gvisGeoChart(Andrew, "LatLong", sizevar='Speed_kt', colorvar="Pressure_mb", options=list(region="US")) plot(GeoMarker) ## ---- pause ---- pause() ## ---- GoogleMapHurricaneAndrew ---- AndrewMap <- gvisMap(Andrew, "LatLong" , "Tip", options=list(showTip=TRUE, showLine=TRUE, enableScrollWheel=TRUE, mapType='terrain', useMapTypeControl=TRUE)) plot(AndrewMap) ## ---- pause ---- pause() ## ---- Table ---- Table <- gvisTable(Stock, formats=list(Value="#,###")) plot(Table) ## ---- pause ---- pause() ## ---- TableWithPages ---- PopTable <- gvisTable(Population, formats=list(Population="#,###", '% of World Population'='#.#%'), options=list(page='enable')) plot(PopTable) ## ---- pause ---- pause() ## ---- OrgChart ---- Org <- gvisOrgChart(Regions, options=list(width=600, height=250, size='large', allowCollapse=TRUE)) plot(Org) ## ---- pause ---- pause() ## ---- TreeMap ---- Tree <- gvisTreeMap(Regions, "Region", "Parent", "Val", "Fac", options=list(fontSize=16)) plot(Tree) ## ---- pause ---- pause() ## ---- AnnotationChart ---- Anno <- gvisAnnotationChart(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list( width=600, height=350, fill=10, displayExactValues=TRUE, colors="['#0000ff','#00ff00']") ) plot(Anno) ## ---- pause ---- pause() ## ---- SankeyChart ---- datSK <- data.frame(From=c(rep("A",3), rep("B", 3)), To=c(rep(c("X", "Y", "Z"),2)), Weight=c(5,7,6,2,9,4)) Sankey <- gvisSankey(datSK, from="From", to="To", weight="Weight", options=list( sankey="{link: {color: { fill: '#d799ae' } }, node: { color: { fill: '#a61d4c' }, label: { color: '#871b47' } }}")) plot(Sankey) ## ---- pause ---- pause() # ---- CalendarChart ---- Cal <- gvisCalendar(Cairo, datevar="Date", numvar="Temp", options=list( title="Daily temperature in Cairo", height=320, calendar="{yearLabel: { fontName: 'Times-Roman', fontSize: 32, color: '#1A8763', bold: true}, cellSize: 10, cellColor: { stroke: 'red', strokeOpacity: 0.2 }, focusedCellColor: {stroke:'red'}}") ) plot(Cal) ## ---- pause ---- pause() # ---- Timeline ---- datTL <- data.frame(Position=c(rep("President", 3), rep("Vice", 3)), Name=c("Washington", "Adams", "Jefferson", "Adams", "Jefferson", "Burr"), start=as.Date(x=rep(c("1789-03-29", "1797-02-03", "1801-02-03"),2)), end=as.Date(x=rep(c("1797-02-03", "1801-02-03", "1809-02-03"),2))) Timeline <- gvisTimeline(data=datTL, rowlabel="Name", barlabel="Position", start="start", end="end", options=list(timeline="{groupByRowLabel:false}", backgroundColor='#ffd', height=350, colors="['#cbb69d', '#603913', '#c69c6e']")) plot(Timeline) ## ---- pause ---- pause() ## ---- Histogram ---- set.seed(123) datHist=data.frame(A=rpois(100, 20), B=rpois(100, 5), C=rpois(100, 50)) Hist <- gvisHistogram(datHist, options=list( legend="{ position: 'top', maxLines: 2 }", colors="['#5C3292', '#1A8763', '#871B47']", width=400, height=360)) plot(Hist) ## ---- pause ---- pause() ## ---- gvisMerge ---- G <- gvisGeoChart(Exports, "Country", "Profit", options=list(width=300, height=300)) T <- gvisTable(Exports, options=list(width=220, height=300)) GT <- gvisMerge(G,T, horizontal=TRUE) plot(GT) ## ---- pause ---- pause() ## Flash charts ## ---- GeoMap ---- Geo=gvisGeoMap(Exports, locationvar="Country", numvar="Profit", options=list(height=350, dataMode='regions')) plot(Geo) ## ---- pause ---- pause() ## ---- GeoMap ---- AndrewGeo <- gvisGeoMap(Andrew, locationvar="LatLong", numvar="Speed_kt", hovervar="Category", options=list(height=350, region="US", dataMode="markers")) plot(AndrewGeo) ## ---- pause ---- pause() ## ---- AnnotatedTimeLine ---- AnnoTimeLine <- gvisAnnotatedTimeLine(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list(displayAnnotations=TRUE, width="600px", height="350px")) plot(AnnoTimeLine) ## ---- pause ---- pause() ## ---- MotionChart ---- Motion=gvisMotionChart(Fruits, idvar="Fruit", timevar="Year") plot(Motion) ## ---- pause ---- pause() ## You can change some of displaying settings via the browser, ## e.g. the level of opacity of non-selected items, or the chart type. ## The state string from the 'Advanced' tab can be used to set those ## settings via R. Just copy and past the string from the browser into ## the argument state of the options list. ## Here is an example of a motion chart, with an initial line chart ## displayed. ## ---- MotionChartSettings ---- myStateSettings <-' {"xZoomedDataMin":1199145600000,"colorOption":"2", "duration":{"timeUnit":"Y","multiplier":1},"yLambda":1, "yAxisOption":"4","sizeOption":"_UNISIZE", "iconKeySettings":[],"xLambda":1,"nonSelectedAlpha":0, "xZoomedDataMax":1262304000000,"iconType":"LINE", "dimensions":{"iconDimensions":["dim0"]}, "showTrails":false,"uniColorForNonSelected":false, "xAxisOption":"_TIME","orderedByX":false,"playDuration":15000, "xZoomedIn":false,"time":"2010","yZoomedDataMin":0, "yZoomedIn":false,"orderedByY":false,"yZoomedDataMax":100} ' M <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(state=myStateSettings)) plot(M) ## See demo(package='googleVis') for other available demos. googleVis/demo/WorldBank.R0000644000176200001440000000332512737123564015157 0ustar liggesusers## This demo shows how country level data can be accessed from ## the World Bank via their API and displayed with a Motion Chart. ## Inspired by Google's Public Data Explorer, see ## http://www.google.com/publicdata/home ## ## For the World Bank Data terms of use see: ## http://data.worldbank.org/summary-terms-of-use ## ## To run this demo an internet connection and Flash are required. ## This demo is part of the googleVis R package. ## ## See also: http://lamages.blogspot.com/2011/09/accessing-and-plotting-world-bank-data.html ## Markus Gesmann, 24 September 2011 ## ## Thanks to John Maindonald for a simplified version of this ## demo using the WDI package. ## ## Distributed under GPL 2 or later ## This demo requires the 'WDI' package if( !is.element("WDI", installed.packages()[,1]) ) install.packages("WDI") library(WDI) inds <- c('SP.DYN.TFRT.IN','SP.DYN.LE00.IN', 'SP.POP.TOTL', 'NY.GDP.PCAP.CD', 'SE.ADT.1524.LT.FE.ZS') indnams <- c("fertility.rate", "life.expectancy", "population", "GDP.per.capita.Current.USD", "15.to.25.yr.female.literacy") wdiData <- WDI(country="all", indicator=inds, start=1960, end=format(Sys.Date(), "%Y"), extra=TRUE) colnum <- match(inds, names(wdiData)) names(wdiData)[colnum] <- indnams ## Create a motion chart library(googleVis) WorldBank <- droplevels(subset(wdiData, !region %in% "Aggregates")) M <- gvisMotionChart(WorldBank, idvar="country", timevar="year", xvar="life.expectancy", yvar="fertility.rate", sizevar="population", colorvar="region", options=list(width=700, height=600), chartid="WorldBank") ## Display the chart in the browser plot(M) googleVis/demo/AnimatedGeoChart.R0000644000176200001440000000711212737123564016431 0ustar liggesusers## Animated Geo Maps based on ideas and code by: ## Manoj Ananthapadmanabhan and Anand Ramalingam ## Here we animate the percentage of vote for president won by the ## Democratic candidate in the elections from 1932 - 2008 ## This demo requires the 'pscl' package if( !is.element("pscl", installed.packages()[,1]) ) install.packages("pscl") require(pscl) data(presidentialElections) ## Add min and max values to the data df = data.frame(state=rep(c("Min", "Max"),20), demVote=rep(c(0, 100),20), year=sort(rep(seq(1932,2008,4),2))) presidentialElections <- rbind(presidentialElections[,1:3], df) ## Create Geo Maps for each election gvisData <- by(presidentialElections, list(year=presidentialElections$year), function(x){ year <- x$year[1] g <- gvisGeoChart(x, "state", "demVote", options=list(region="US", dataMode="regions", resolution="provinces"), chartid=paste("[", year, "]", sep="")) .data <- g$html$chart["jsData"] .data <-gsub("function ", "", .data) .data <- sub("\\] ()", "\\] = function ", .data) return(.data) } ) animation <- " var gvisData = {}; var Animation = {}; Animation.startYear = 1; Animation.endYear = 20; Animation.currentYear = Animation.startYear; Animation.divCharts = {}; Animation.playAnimation = function() { if (Animation.currentYear > Animation.endYear) { return; } document.getElementById('chart-header').innerHTML = 'Percent of the vote for president won by the Democratic candidate in year: '+ (1928 + 4*Animation.currentYear); if (Animation.currentYear > Animation.startYear) { Animation.divCharts[Animation.currentYear-1].style.display = 'none'; } Animation.divCharts[Animation.currentYear++].style.visibility = 'visible'; setTimeout(Animation.playAnimation, 2000); }; " gvisChart <- ' // jsDrawChart function drawChart() { var chart = {}; var options ={}; options["displayMode"] = "regions"; options["width"] = 600; options["region"] = "US"; options["height"] = 400; options["resolution"] = "provinces" options["colors"] = ["red", "blue"]; for (var i = Animation.startYear; i<=Animation.endYear; i++) { Animation.divCharts[i] = document.createElement("div"); Animation.divCharts[i].className = "pop-chart"; document.body.appendChild(Animation.divCharts[i]); chart[i] = new google.visualization.GeoChart(Animation.divCharts[i]); var data = gvisData[(1928+4*i)](); options["title"] = i; chart[i].draw(data,options); } // Animation.playAnimation(); setTimeout(Animation.playAnimation, 5000); } // jsDisplayChart function displayChart() { google.load("visualization", "1", { packages:["geochart"] }); google.setOnLoadCallback(drawChart); } // jsChart displayChart() ' htmlHead <- ' US Presidential Election by State: 1932 - 2008
' page <- structure( list(type="AnimatedGeoChart", chartid="presidentialElections", html=list( header=htmlHead, chart=c(animation, gvisData, gvisChart), caption="", footer=htmlFoot) ), class = c("gvis", "list") ) plot(page) ## See demo(package='googleVis') for other available demos. googleVis/demo/Trendlines.R0000644000176200001440000000313512737123564015402 0ustar liggesusers## Trend line demo # A trendline is a line superimposed on a chart revealing the overall direction # of the data. Google Charts can automatically generate trendlines for # Scatter Charts, Bar Charts, Column Charts, and Line Charts. # # Fore more details see: # https://developers.google.com/chart/interactive/docs/gallery/trendlines ## Linear trend line ## Add a trend line to the first series ## ---- LinearTrend ---- plot( gvisScatterChart(women, options=list(trendlines="0")) ) ## ---- ExponentialTrend ---- plot( gvisScatterChart(women, options=list( trendlines="{0: { type: 'exponential', visibleInLegend: 'true', color: 'green', lineWidth: 10, opacity: 0.5}}", chartArea="{left:50,top:20,width:'50%',height:'75%'}")) ) ## ---- ColumnChartWithTrendline ---- dat <- data.frame(val1=c(1,3,4,5,6,8), val2=c(12,23,32,40,50,55)) plot( gvisColumnChart(dat, options=list(trendlines="{0: {}}")) ) ## ---- DifferentLabels ---- dat$val3 <- c(5,6,10,12,15,20) plot( gvisColumnChart(dat, options=list(trendlines="{ 0: { labelInLegend: 'Trendline 1', visibleInLegend: true,}, 1:{ labelInLegend: 'Trendline 2', visibleInLegend: true} }", chartArea="{left:50,top:20, width:'50%',height:'75%'}" )) ) googleVis/demo/EventListener.R0000644000176200001440000000213512737123564016061 0ustar liggesusers## The parameter gvis.listener.jscode embeds code inside ## a select event listener. ## It is possible to add javascript code and access the build in ## method getSelection(). ## ## The following code shows two examples: jscode <- "window.open('http://en.wikipedia.org/wiki/'+data.getValue(chart.getSelection()[0].row,0)); " J1 <- gvisGeoMap(Exports, locationvar='Country', numvar='Profit', options=list(dataMode="regions",gvis.listener.jscode=jscode)) plot(J1) ## Similarly the code can also be used for other charts, e.g. org chart and line chart plot(gvisOrgChart(Regions, options=list(gvis.listener.jscode=jscode))) plot(gvisLineChart(Regions[,c(1,3)], options=list(gvis.listener.jscode=jscode))) jscode <- " var sel = chart.getSelection(); var row = sel[0].row; var text = data.getValue(row,1); alert(text); " J2 <- gvisTable(Population,options=list(gvis.listener.jscode=jscode)) plot(J2) ## For more details see ## http://code.google.com/apis/chart/interactive/docs/reference.html#addlistener ## See demo(package='googleVis') for other available demos. googleVis/NEWS0000644000176200001440000005606013032141450012707 0ustar liggesusersgoogleVis 0.6.2 [2017-01-01] ---------------------------- Changes o Update links to omegahat from omegahat.org to omegahat.net as requested by CRAN googleVis 0.6.1 [2016-09-01] ---------------------------- Changes o Flash based charts gvisGeoMap and gvisAnnotatedTimeLine will show a warning, reminding users to switch to the HTML5 charts gvisGeoChart and gvisAnnotationChart instead. Bug fixes o In some cases option settings were not converted porperly into JSON objects. googleVis 0.6.0 [2016-07-04] ---------------------------- Changes o Changed package dependency from RJSONIO to jsonlite. o Change demo AnimatedGeoMap to AnimatedGeoChart googleVis 0.5.10 [2015-08-26] ---------------------------- Bug fixes o Ordered factors were ignored. Thanks to Carsten Langer for reporting this issue. googleVis 0.5.9 [2015-07-04] ---------------------------- Changes * Added note section on width and height to help file of gvisIntensityMap. Thanks to Sarang Brahme for his comment. * Updated NAMESPACE file to comply with new R CMD checks in R-3.3.0 googleVis 0.5.8 [2015-01-21] ---------------------------- Changes * Internal changes to how the internal web server is called, to reflect changes in R 3.2.0 googleVis 0.5.7 [2014-12-20] ---------------------------- Changes * Updated DESCRPITION file to comply with new CRAN policy * Clarified setting parameters in help file. Thanks to Nick Salkowski for his suggestions. googleVis 0.5.6 [2014-10-12] ---------------------------- Changes * Rescaled the column "% of World Population" in sample data set "Population" by a factor of 0.01 Bug Fixes * gvisMotionChart: arguments xvar, yvar, sizevar and colorvar were not always picked up correctly. Thanks to Juuso Parkkinen for reporting this issue. googleVis 0.5.5 [2014-08-15] ---------------------------- Changes * Added example to gvisMerge help file. Bug Fixes * README.md when converted to (X)HTML using a current version of pandoc showed minor problems when validated using W3C Markup Validator. * In some case when no xvar and yvar arguments where provided for core charts the output wasn't sensible. This bug was introduced with version 0.5.3. Thanks to stanstrup for reporting this issue. googleVis 0.5.4 [2014-07-19] ---------------------------- Changes * Tidying up of googleVis demo, vignette and README file googleVis 0.5.3 [2014-06-28] ---------------------------- Changes * Default chart width is set to 'automatic' instead of 500 pixels. * Intervals for columns roles have to end with the suffix ".i", with i being an integer. Several interval columns are allowed, see the Roles demo and vignette for more details. Bug Fix * The order of y-variables in core charts wasn't maintained. Thanks to John Taveras for reporting this bug. * Width and height of googleVis charts were only accepted in pixels, although the Google Charts API uses standard HTML units (for example, '100px', '80em', '60', 'automatic'). If no units are specified the number is assumed to be pixels. This has been fixed. Thanks to Paul Murrell for reporting this issue. googleVis 0.5.2 [2014-05-05] ---------------------------- Changes * Fixed minor formatting issues in documentation and vignettes. * Added examples in demo googleVis to show how to customize points and lines and to the help files of gvisLineChart and gvisScatterChart. googleVis 0.5.1 [2014-04-14] ---------------------------- NEW FEATURES * New functions gvisSankey, gvisAnnotationChart, gvisHistogram, gvisCalendar and gvisTimeline to support the new Google charts of the same names (without 'gvis'). * New demo Trendlines showing how trend-lines can be added to Scatter-, Bar-, Column-, and Line Charts. * New demo Roles showing how different column roles can be used in core charts to highlight data. * New vignettes written in R Markdown showcasing googleVis examples and how the package works with knitr. Changes * The help files of gvis charts no longer show all their options, instead a link to the online Google API documentation is given. * Updated googleVis demo * All googleVis output will be displayed in your default browser. In previous versions of googleVis output could also be displayed in the preview pane of RStudio. This feature is no longer available with the current version of RStudio, but is likely to be introduced again with the release of RStudio version 0.99 or higher. googleVis 0.4.7 [2013-11-10] ---------------------------- Changes * New option 'googleVis.viewer' which controls the default output of the googleVis plot method. On package load it is set to getOption("viewer"). It you use RStudio, then its viewer pane will be used for displaying non-Flash charts. Set options("googleVis.viewer"=NULL) and the googleVis plot function will open all output in the default browser again. * The package start-up message makes the user aware of the default viewer option. * Added example to gvisMap that illustrates how the icon can be changed. googleVis 0.4.6 [2013-11-03] ---------------------------- Changes * googleVis will use the Viewer pane in RStudio (version >= 0.98.441) to display non-Flash charts by default. The setting is controlled via the option viewer. Set options("viewer"=NULL) and the googleVis plot function will open all output in the default browser again. googleVis 0.4.5 [2013-08-29] ---------------------------- Bug Fixes * The indentation of some of the HTML output changed in version 0.4.4, which as a result stopped googleVis output to be rendered with knitr. googleVis 0.4.4 [2013-08-23] ---------------------------- NEW FEATURES * gvisTable() gained new parameter formats, which allow users to specify the format of numbers displayed in a table. Thanks to Jacqueline Buros for providing ideas and code. * Doughnut charts are now possible as pie charts with a hole. Changes * New examples for gvisBarChart, gvisColumnChart, gvisComboChart demonstrating how to change the width of bars * Extended FAQ section googleVis 0.4.3 [2013-05-25] ---------------------------- NEW FEATURES * givsGeoChart has a new argument 'hovervar' to specify a column in input data that can be used to show additional information in a geo chart. See the new example of plotting countries' credit rating in the help file for a use case. Thanks to John Muschelli for suggesting this feature. googleVis 0.4.2 [2013-03-16] ---------------------------- NEW FEATURES * The core charts (e.g. line, area, bar, column and combo charts) accept now also date variables for the x-axis. Thanks to Sebastian Campbell for pointing this out. Changes * The WorldBank demo uses now the WDI package. Thanks to John Maindonald for providing the code. Bug Fixes * Fixed typos in Stock and Andrew example data. Thanks to Sebastian Campbell for reporting this issue. googleVis 0.4.0 [2013-02-24] ---------------------------- NEW FEATURES * New function renderGvis to support shiny. This function allows user to insert googleVis output into shiny apps, similar to renderText and renderPlot. See the help page for more details. Many thanks to Joe Cheng for his support and help. Changes * In order to support shiny the order of the elements of the gvis*()$html$chart vector changed. The positions of jsChart and jsFooter have been swapped. * The load mechanism for the Google API changed from http to https again. Thanks to Jacques Philip. * The package dependencies changed to imports statements in DESCRIPTION. Thanks to Suraj Gupta for pointing this out. * The R.rsp example in demo googleVis has been moved into its own demo Rrsp. * A FAQ and shiny section has been added to the vignette. Bug Fixes * jsDisplayChart didn't check if the google visualization function is already loaded. Many thanks to Mark Melling for reporting the issue and providing a solution. * The demo WorldBank didn't download all data but only the first 12000 records. Many thanks to John Maindonald reported this issue. googleVis 0.3.3 [2012-11-12] ---------------------------- Changes * Clarified the usage of the argument state in the help file of gvisMotionChart. Thanks to Leonardo Trabuco googleVis 0.3.3 [2012-10-31] ---------------------------- Bug Fixes * plot.gvis didn't open a browser window when options(gvis.plot.tag) was not set to NULL, but the user explicitly called plot.gvis with tag NULL. Thanks to Sebastian Kranz for reporting this bug. googleVis 0.3.2 [2012-10-28] ---------------------------- NEW FEATURES * plot.gvis gained the argument 'tag', which works similar to the argument of the same name in print.gvis. By default the tag argument is NULL and plot.gvis has the same behaviour as in the previous versions of googleVis. However, the argument can be set outside plot.gvis via options(gvis.plot.tag=...). This allows users to switch plot statements into print statements by changing only one setting. This is particular useful when googleVis is used in combination with knitr or R.rsp. Setting options(plot.gvis.tag="chart") will ensure that plot(gvisOutput) statements will be included into the final HTML output. See the help file to plot.gvis and vignette for more details. Changes * The tag argument of print.gvis can be set globally from outside the function via options(gvis.print.tag) * The vignette has a new section describing how to set the behaviour of plot.gvis and print.gvis via options(gvis.plot.tag), options(gvis.print.tag) respectively. The section describing how googleVis can be used with knitr has been extended and an additional example included. * plot.gvis can open any html file now, not just gvis-objects. Like with gvis-object it will copy the file into a temporary directory and display it via the R HTTP server. googleVis 0.3.1 [2012-10-22] ---------------------------- Bug Fixes * The argument 'browser' introduced in version 0.3.0 has been removed again. The argument was set by default to the output of getOptions('browser'), if interactive() returned TRUE, otherwise to 'false'. The function getOptions('browser') returns either a string or a function call. The later caused an error message, as experienced with RStudio and RGui.exe. The check is now handled internally by plot.gvis. Thanks to Sebastian Kranz for reporting this bug. googleVis 0.3.0 [2012-10-20] ---------------------------- NEW FEATURES * plot.gvis has a new argument 'browser'. The argument is passed on to the function browseURL. The 'browser' argument is by default set based on the output of interactive(). This prevents R CMD CHECK trying to open browser windows during the package checking process. See the help file of plot.gvis for more details. Thanks to Henrik Bengtsson for his comments and suggestions. * gvisMotionChart has new arguments xvar, yvar, colorvar and sizevar. Those arguments are optional and set the various dimensions of a motion chart, similar to those in gvisBubbleChart. Thanks to Sebastian Kranz for the idea and initial code. * gvisGeoChart accepts tooltip.triggers following an update of the Visualisation API by Google, 24 September 2012 * R data frames are transformed into JSON objects using a new function provided by Sebastian Kranz and Wei Luo. The new function speeds up the googleVis functions. Changes * Changed the load mechanism for the Google API from http to https. Thanks to Erik Bülow for pointing this out (Issue 19). * Changed example in help file of gvisMap to show how to include html code in tooltip. Bug Fixes * Chart editor was not validated properly under XHMTL 1.0 Strict googleVis 0.2.17 [2012-08-02] ---------------------------- Changes * Added sections with information to 'knitr' and 'Rook' to vignette * Added example to gvisMerge demonstrating the use of 'Reduce' Bug Fixes * Data frames with one row only were not displayed in a chart. Thanks to Oliver Jay and Wai Tung Ho for reporting this issue. * Fixed earth quake example, using data from http://www.iris.edu/seismon/last30.html, Mag was read as factor rather than numeric googleVis 0.2.16 [2012-06-01] ---------------------------- Changes * Updated example in help file of gvisGeoChart for individual colour axis * Updated links to Google API pages NEW FEATURES * gvisMotionCharts accepts quarterly and weekly time dimensions. Thanks to Jason Pickering for providing a patch. googleVis 0.2.15 [2012-03-04] ---------------------------- Changes * Updated documentation following a new version of the Google API on 22 February 2012. * Moved vignette from folder /inst/doc to /vignettes NEW FEATURES * Quoted from Google http://code.google.com/apis/chart/interactive/docs/release_notes.html: - Added gradient color mode to bubble chart. - Geo chart: o Region interactivity in marker mode is now disabled by default. How to keep the old behavior? Set the enableRegionInteractivity option to true. o Markers are now opaque by default. How to keep the old behaviour? Set the markerOpacity option to 0.5. o Marker size is now between 3 and 12 pixels by default. How to keep the old behavior? Set the sizeAxis option to {minSize: 2, maxSize: 30}. o A magnifying glass is now opened when the user hovers over cluttered markers (excluding IE<=8). How to keep the old behaviour? Set the magnifyingGlass option to {enable: false}. o Maps are not stretched by default anymore, but rather kept at the original aspect ratio. How to keep the old behavior? Set the keepAspectRatio option to false. googleVis 0.2.14 [2012-02-04] ---------------------------- Changes * Updated help files to be in line with the Google Visualisation API pages * Updated vignette with new section on dealing with apostrophes in column names and updated example in section "Setting options" * Fixed typos in vignette. Thanks to Pat Burns for pointing them out * Updated links to Google's updated API Terms of Use: http://code.google.com/apis/terms/index.html NEW FEATURES * New bubble chart function gvisBubbleChart googleVis 0.2.13 [2011-12-19] ---------------------------- Changes * The list of arguments for gvisGeoChart changed: - the argument 'numvar' has been renamed to 'colorvar' to reflect the updated Google API. Additionally gvisGeoChart gained a new argument 'sizevar'. * Updated googleVis vignette with a section on using googleVis output in presentations * Renamed demo EventListner to EventListener NEW FEATURES * Google published a new version of their Visualisation API on 7 December 2011. Some of the new features have been implemented into googleVis already: - New stepped area chart function gvisSteppedAreaChart - gvisGeoChart has a new marker mode, similar to the mode in gvisGeoMap. See example(gvisGeoChart) for the new functionalities. googleVis 0.2.12 [2011-12-07] ---------------------------- Bug Fixes * gvisMotionChart didn't display data with special characters, e.g. spaces, &, %, in column names correctly. Thanks to Alexander Holcroft for reporting this issue. googleVis 0.2.11 [2011-11-16] ---------------------------- Changes * Updated vignette and documentation with instructions on changing the Flash security settings to display Flash charts locally. Thanks to Tony Breyal. * New example to plot weekly data with gvisMotionChart * Removed local copies of gadget files to reduce package file size. A local copy of the R script to generate the original gadget files is still included in inst/gadgets googleVis 0.2.10 [2011-09-24] ---------------------------- Changes * Updated section 'Using googleVis output with Google Sites, Blogger, etc.' vignette * Updated example for gvisMotionChart, showing how the initial chart setting can be changed, e.g to display a line chart. * New example for gvisAnnotatedTimeLine, showing how to shade areas. Thanks to Mike Silberbauer for providing the initial code. NEW FEATURES * New demo WorldBank. It demonstrates how country level data can be accessed from the World Bank via their API and displayed with a Motion Chart. Inspired by Google's Public Data Explorer, see http://www.google.com/publicdata/home googleVis 0.2.9 [2011-09-01] --------------------------- Changes * The documentation of googleVis has been update to reflect a new version of the Google Visualisation API which was published on 13 July, see http://code.google.com/apis/chart/interactive/docs/release_notes.html#72011. Here are some of the most interesting features: - Support for dual Y axes - Ability to crop and zoom chart area to specific ranges - Ability to set different properties for each series - Ability to enable or disable chart interactivity - Performance improvements in GeoChart * Updated vignette with new sections on - Setting options - How to use the on-page chart editor - Using googleVis with other Google products such as Blogger and Google Sites * Updated warning section for gvisTreeMap NEW FEATURES * New gvis.editor argument in options, which adds an edit button to the page, allowing the user to edit, change and customise the chart on the fly. googleVis 0.2.8 [2011-07-31] --------------------------- Changes * Updated package welcome message. The message asks the user to read Google's Visualisation and Maps API Terms of Use before she uses the functions of the googleVis package. * The caption gvis-plots contain an additional link to Google's data policy. * New example for gvisBarChart using the XML package to chart online data from Wikipedia googleVis 0.2.7 [2011-07-10] --------------------------- Changes * The vignette includes new sections describing: - how output of the googleVis package can be included into WordPress pages, - how JavaScript event handlers can be added to charts. * Clarified documentation for Flash based charts in help files of motion chart, geo map, annotated time line. NEW FEATURES * New demo 'EventListener' showcasing how a 'Listener' event can be added to charts BUG FIXES * gvisGeoMap documentation stated that the default dataMode is 'regions', but the function actually used 'markers'. The default for dataMode is now 'regions' and therefore in line with the help file. googleVis 0.2.6 [2011-06-12] --------------------------- Changes * Updated demos NEW FEATURES * New interfaces to three more interactive Google charts: - gvisComboChart - gvisGeoChart - gvisCandlestickChart * New function 'gvisMerge' to align two charts next to each other googleVis 0.2.5 [2011-06-04] --------------------------- NEW FEATURES * New interfaces to more interactive Google charts: - gvisLineChart - gvisBarChart - gvisColumnChart - gvisAreaChart - gvisScatterChart - gvisPieChart - gvisGauge - gvisOrgChart - gvisIntensityMap * New demo 'AnimatedGeoMap'. The demo shows how a Geo Map can be animated with additional JavaScript. Thanks to Manoj Ananthapadmanabhan and Anand Ramalingam, who provided the idea and initial code. BUG FIXES * The way RJSONIO treats backslashes changed in version 0.7.1 and as a result some Google charts were no longer displayed. googleVis 0.2.4 [2011-02-07] --------------------------- Changes * plot.gvis no longer writes into the package folder. Instead temporary files are created. This overcomes the need to install the package into a directory with write access. Many thanks to Ben Bolker for this suggestion and code contribution. * plot.gvis no longer requires the web server provided by the R.rsp package to display the visualisation output. Instead it uses the internal R HTTP help server. Many thanks to John Verzani for this suggestion and code contribution. * R >= 2.11.0 is required to plot googleVis output, as it uses the internal R HTTP help server. * Updated vignette with a section on how to use googleVis with RApache and brew NEW FEATURES * The plot function generates a web page which includes a link to the HTML code of the chart. Many thanks to Henrik Bengtsson for this suggestion. * gvis visualisation functions have a new argument 'chart id', to set the chart id of the exhibit manually. * gvis functions return more details about the visualisation chart in a structured way. Suppose x is a 'gvis' object, than x$html$chart is a named character vector of the chart's JavaScript building blocks and html tags. * print.gvis has a new argument 'tag', which gives the user more control over the output * Brew example files in: system.file("brew", package = "googleVis") BUG FIXES * gvisTable did not accept datetime columns. googleVis 0.2.3 [2010-12-19] --------------------------- Changes NEW FEATURES * gvisAnnotatedTimeLine accepts date in POSIX* formats BUG FIXES * Google date objects expect the months Jan.- Dec. as 0 - 11 and not 1 - 12 * Fixed typo in the Andrew data set. The Pressure at 1992-08-24 12:00:00 was 951 and not 51 googleVis 0.2.2 [2010-12-12] --------------------------- Changes * Fixed typos in documentation NEW FEATURES * New function: - createGoogleGadget which allows users to create Google Gadgets XML output googleVis 0.2.1 [2010-11-30] --------------------------- Changes * First version to be released on CRAN NEW FEATURES * New function: - gvisAnnotatedTimeLine to generate interactive annotated time line charts googleVis 0.2.0 [2010-11-14] --------------------------- Changes * The package has been renamed from GoogleMotionChart to googleVis to reflect a new more flexible implementation. * More functions of the Google Visualisation API are now available. USER-VISIBLE CHANGES * New interfaces, all visualisation functions start with 'gvis'. * Output is now of class 'gvis' with generic print and plot functions. * 'gvis' objects are list of lists, which allow the user to extract the various parts of the visualisation output, e.g. the chart object. NEW FEATURES * New functions: - gvisMotionChart to generate motion charts - gvisGeoMap to generate geographical maps - gvisMap to generate maps - gvisTreeMap to generate tree maps - gvisTable to generate table output - print.gvis: generic function to print 'gvis' objects - plot.gvis: generic function to display 'gvis' objects in a browser via the R.rsp package. googleVis 0.1.4 [2010-08-12] --------------------------- Changes * The package uses the RJSONIO package from Omegahat to transform a data.frame into a json DataTable googleVis 0.1.3 [2010-08-08] --------------------------- NEW FEATURES * More detailed motion chart configuration settings are possible. USER-VISIBLE CHANGES * options have to be set via a list. 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liggesusersgoogleVis/R/gvisAnnotatedTimeLine.R0000644000176200001440000003050612761447242017006 0ustar liggesusers### Part of the R package googleVis ### Copyright 2010 - 2014 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Annotated Time Line with R #' \Sexpr{googleChartName <- "annotatedtimeline"} #' \Sexpr{gvisChartName <- "gvisAnnotatedTimeLine"} #' #' The gvisAnnotatedTimeLine function reads a data.frame and creates text #' output referring to the Google Visualisation API, which can be included into #' a web page, or as a stand-alone page. #' #' An annotated time line is an interactive time series line chart with #' optional annotations. The chart is rendered within the browser using Flash. #' #' @param data a \code{data.frame}. The data has to have at least two columns, #' one with date information (\code{datevar}) and one numerical variable. #' @param datevar column name of \code{data} which shows the date dimension. #' The information has to be of class \code{\link{Date}} or \code{POSIX*} time #' series. #' @param numvar column name of \code{data} which shows the values to be #' displayed against \code{datevar}. The information has to be #' \code{\link{numeric}}. #' @param idvar column name of \code{data} which identifies different groups of #' the data. The information has to be of class \code{\link{character}} or #' \code{\link{factor}}. #' @param titlevar column name of \code{data} which shows the title of the #' annotations. The information has to be of class \code{\link{character}} or #' \code{\link{factor}}. Missing information can be set to \code{NA}. See #' section 'Details' for more details. #' @param annotationvar column name of \code{data} which shows the annotation #' text. The information has to be of class \code{\link{character}} or #' \code{\link{factor}}. Missing information can be set to \code{NA}. See #' section 'Details' for more details. #' @param date.format if \code{datevar} is of class \code{\link{Date}} then #' this argument specifies how the dates are reformatted to be used by #' JavaScript. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' @section Warnings: #' AnnotatedTimeline (gvisAnnotatedTimeLine) is Flash based, conisder using AnnotationChart (gvisAnnotationChart) instead. #' For more details visit: goo.gl/tkiEV8 #' #' Because of Flash security settings the chart might not work correctly when #' accessed from a file location in the browser (e.g., #' file:///c:/webhost/myhost/myviz.html) rather than from a web server URL #' (e.g. http://www.myhost.com/myviz.html). See the googleVis package vignette #' and the Macromedia web site #' (\url{http://www.macromedia.com/support/documentation/en/flashplayer/help/}) #' for more details. #' #' Important: To use this visualization, you must specify the height and width #' of the container element explicitly on your page. So, for example: #' options=list(width="600px", height="350px") #' #' Use code{\link{gvisAnnotationChart}} for a non-Flash version of this plot. #' #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso #' #' See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and #' plotting methods. Further see \code{\link{reshape}} for reshaping data, e.g. #' from a wide format into a long format. #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires Flash and Internet #' ## connection to display the visualisation. #' #' #' data(Stock) #' Stock #' A1 <- gvisAnnotatedTimeLine(Stock, datevar="Date", #' numvar="Value", idvar="Device", #' titlevar="Title", annotationvar="Annotation", #' options=list(displayAnnotations=TRUE, #' legendPosition='newRow', #' width="600px", height="350px") #' ) #' plot(A1) #' #' ## Two Y-axis #' A2 <- gvisAnnotatedTimeLine(Stock, datevar="Date", #' numvar="Value", idvar="Device", #' titlevar="Title", annotationvar="Annotation", #' options=list(displayAnnotations=TRUE, #' width="600px", height="350px", scaleColumns='[0,1]', #' scaleType='allmaximized') #' ) #' plot(A2) #' #' ## Zoom into the time window, no Y-axis ticks #' A3 <- gvisAnnotatedTimeLine(Stock, datevar="Date", #' numvar="Value", idvar="Device", #' titlevar="Title", annotationvar="Annotation", #' options=list( #' width="600px", height="350px", #' zoomStartTime=as.Date("2008-01-04"), #' zoomEndTime=as.Date("2008-01-05")) #' ) #' plot(A3) #' #' #' #' ## Colouring the area below the lines to create an area chart #' A4 <- gvisAnnotatedTimeLine(Stock, datevar="Date", #' numvar="Value", idvar="Device", #' titlevar="Title", annotationvar="Annotation", #' options=list( #' width="600px", height="350px", #' fill=10, displayExactValues=TRUE, #' colors="['#0000ff','#00ff00']") #' ) #' #' plot(A4) #' #' #' ## Data with POSIXct datetime variable #' A5 <- gvisAnnotatedTimeLine(Andrew, datevar="Date/Time UTC", #' numvar="Pressure_mb", #' options=list(scaleType='maximized', #' width="600px", height="350px") #' ) #' #' plot(A5) #' #' #' \dontrun{ #' #' ## Plot Apple's monthly stock prices since 1984 #' #' ## Get current date #' d <- Sys.time() #' current.year <- format(d, "%Y") #' current.month <- format(d, "%m") #' current.day <- format(d, "%d") #' #' ## Yahoo finance sets January to 00 hence: #' month <- as.numeric(current.month) - 1 #' month <- ifelse(month < 10, paste("0",month, sep=""), m) #' #' ## Get weekly stock prices from Apple Inc. #' tckr <- 'AAPL' #' yahoo <- 'http://ichart.finance.yahoo.com/table.csv' #' #' fn <- sprintf('%s?s=%s&a=08&b=7&c=1984&d=%s&e=%s&f=%s&g=w&ignore=.csv', #' yahoo, tckr, month, current.day, current.year) #' #' ## Get data from Yahoo! Finance #' data <- read.csv(fn, colClasses=c("Date", rep("numeric",6))) #' #' AAPL <- reshape(data[,c("Date", "Close", "Volume")], idvar="Date", #' times=c("Close", "Volume"), #' timevar="Type", #' varying=list(c("Close", "Volume")), #' v.names="Value", #' direction="long") #' #' ## Calculate previous two years for zoom start time #' lyd <- as.POSIXlt(as.Date(d)) #' lyd$year <- lyd$year-2 #' lyd <- as.Date(lyd) #' #' aapl <- gvisAnnotatedTimeLine(AAPL, datevar="Date", #' numvar="Value", idvar="Type", #' options=list( #' colors="['blue', 'lightblue']", #' zoomStartTime=lyd, #' zoomEndTime=as.Date(d), #' legendPosition='newRow', #' width="600px", height="400px", scaleColumns='[0,1]', #' scaleType='allmaximized') #' ) #' #' plot(aapl) #' } #' gvisAnnotatedTimeLine <- function(data, datevar="", numvar="", idvar="", titlevar="", annotationvar="", date.format="%Y/%m/%d", options=list(), chartid){ warning("AnnotatedTimeline (gvisAnnotatedTimeLine) is Flash based, conisder using AnnotationChart (gvisAnnotationChart) instead.\nFor more details visit: goo.gl/tkiEV8") my.type <- "AnnotatedTimeLine" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(width = "600px", height="300px"), options), dataName=dataName, data=list(datevar=datevar, numvar=numvar, idvar=idvar, titlevar=titlevar, annotationvar=annotationvar, date.format=date.format, allowed=c("number", "string", "date", "datetime")) ) checked.data <- gvisCheckAnnotatedTimeLineData(data, my.options, datevar=datevar, idvar=idvar, titlevar=titlevar, annotationvar=annotationvar) output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid=chartid) return(output) } gvisCheckAnnotatedTimeLineData <- function(data, options, datevar,idvar, titlevar, annotationvar){ if( any(class(data[[datevar]]) %in% c("POSIXct", "POSIXlt")) ){ data.structure <- list( datevar = list(mode="required",FUN=check.datetime), numvar = list(mode="required",FUN=check.num), idvar = list(mode="optional",FUN=check.char), titlevar = list(mode="optional",FUN=check.char), annotationvar = list(mode="optional",FUN=check.char)) }else{ data.structure <- list( datevar = list(mode="required",FUN=check.date), numvar = list(mode="required",FUN=check.num), idvar = list(mode="optional",FUN=check.char), titlevar = list(mode="optional",FUN=check.char), annotationvar = list(mode="optional",FUN=check.char)) } x <- gvisCheckData(data=data, options=options, data.structure=data.structure) x.df <- as.data.frame(x) ##check if idvar is missing that datevar define unique rows if(idvar==""){ if(length(x.df[,1]) != length(unique(x.df[,1]))) message("Warning: The data appears to more than one entry for the same date.\n", "Have you considered using the idvar variable?") ## if idvar is missing no reshape is required. return(x.df) } groups <- factor(x.df[[idvar]]) ngroups <- nlevels(groups) checkTitleAnno <- c(titlevar != "", annotationvar != "") if(all(checkTitleAnno)){ varying.vars <- c(2,4,5) }else{ if(any(checkTitleAnno)) varying.vars <- c(2,4) else varying.vars <- 2 } var.names <- names(x.df)[varying.vars] x.df <- reshape(x.df, v.names=var.names, ##numvar , titlevar, annotationvar idvar=names(x.df)[1], ## datevar timevar=names(x.df)[3], ## idvar direction="wide") names(x.df) <- gsub(paste(var.names[1], ".", sep=""), "", names(x.df)) return(x.df) } googleVis/R/gvisTreeMap.R0000644000176200001440000002515512737123564015004 0ustar liggesusers### File R/gvisTreeMap.R ### Part of the R package googleVis ### Copyright 2010 - 2014 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Tree Map with R #' \Sexpr{googleChartName <- "treemap"} #' \Sexpr{gvisChartName <- "gvisTreeMap"} #' #' The gvisTreeMap function reads a data.frame and creates text output #' referring to the Google Visualisation API, which can be included into a web #' page, or as a stand-alone page. The actual chart is rendered by the web #' browser. #' #' A tree map is a visual representation of a data tree, where each node can #' have zero or more children, and one parent (except for the root, which has #' no parents). Each node is displayed as a rectangle, sized and colored #' according to values that you assign. Sizes and colors are valued relative to #' all other nodes in the graph. You can specify how many levels to display #' simultaneously, and optionally to display deeper levels in a hinted fashion. #' If a node is a leaf node, you can specify a size and color; if it is not a #' leaf, it will be displayed as a bounding box for leaf nodes. The default #' behavior is to move down the tree when a user left-clicks a node, and to #' move back up the tree when a user right-clicks the graph. #' #' The total size of the graph is determined by the size of the containing #' element that you insert in your page. If you have leaf nodes with names too #' long to show, the name will be truncated with an ellipsis (...). #' #' @param data a \code{data.frame}. The data has to have at least four columns. #' Each row in the data table describes one node (a rectangle in the graph). #' Each node (except the root node) has one or more parent nodes. Each node is #' sized and colored according to its values relative to the other nodes #' currently shown. #' @param idvar column name of \code{data} describing the ID for each node. It #' can be any valid JavaScript string, including spaces, and any length that a #' string can hold. This value is displayed as the node header. #' @param parentvar column name of \code{data} that match to entries in #' \code{idvar}. If this is a root node, leave this \code{NA}. Only one root is #' allowed per treemap. #' @param sizevar column name of \code{data} with positive values to define the #' size of maps. Any positive value is allowed. This value determines the size #' of the node, computed relative to all other nodes currently shown. This #' value is ignored for non-leaf nodes (it is actually calculated from the size #' of all its children). #' @param colorvar column name of \code{data} with values to define range of #' color. The value is used to calculate a color for this node. Any value, #' positive or negative, is allowed. The color value is first recomputed on a #' scale from \code{minColorValue} to \code{maxColorValue}, and then the node #' is assigned a color from the gradient between \code{minColor} and #' \code{maxColor}. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' #' @section Warning : #' #' Tree maps display a tree like structure where every child has to have a #' unique parent. #' #' Values in column \code{sizevar} should be greater than zero and finite. #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso #' #' See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and #' plotting methods. #' #' Please note that the \code{treemap} package offeres a static version of tree #' maps via its \code{tmPlot} function. #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires Internet #' ## connection to display the visualisation. #' #' Tree <- gvisTreeMap(Regions, idvar="Region", parentvar="Parent", #' sizevar="Val", colorvar="Fac") #' plot(Tree) #' #' #' Tree2 <- gvisTreeMap(Regions, "Region", "Parent", "Val", "Fac", #' options=list(width=600, height=500, #' fontSize=16, #' minColor='#EDF8FB', #' midColor='#66C2A4', #' maxColor='#006D2C', #' headerHeight=20, #' fontColor='black', #' showScale=TRUE)) #' #' plot(Tree2) #' #' ## Simple static treemap with no drill down options based on US states #' ## and their area. However we still have to create a parent id to use #' ## gvisTreeMap #' #' require(datasets) #' states <- data.frame(state.name, state.area) #' #' ## Create parent variable #' #' total=data.frame(state.area=sum(states$state.area), state.name="USA") #' #' my.states <- rbind(total, states) #' my.states$parent="USA" #' ## Set parent variable to NA at root level #' my.states$parent[my.states$state.name=="USA"] <- NA #' #' my.states$state.area.log=log(my.states$state.area) #' statesTree <- gvisTreeMap(my.states, "state.name", "parent", #' "state.area", "state.area.log") #' plot(statesTree) #' #' #' ## We add US regions to the above data set to enable drill down capabilities #' #' states2 <- data.frame(state.region, state.name, state.area) #' #' regions <- aggregate(list(region.area=states2$state.area), #' list(region=state.region), sum) #' #' my.states2 <- data.frame(regionid=c("USA", #' as.character(regions$region), #' as.character(states2$state.name)), #' parentid=c(NA, rep("USA", 4), #' as.character(states2$state.region)), #' state.area=c(sum(states2$state.area), #' regions$region.area, states2$state.area)) #' #' my.states2$state.area.log=log(my.states2$state.area) #' #' statesTree2 <- gvisTreeMap(my.states2, "regionid", "parentid", #' "state.area", "state.area.log") #' #' plot(statesTree2) #' #' ## Now we add another layer with US divisions #' #' states3 <- data.frame(state.region, state.division, state.name, state.area) #' #' regions <- aggregate(list(region.area=states3$state.area), #' list(region=state.region), sum) #' #' divisions <- aggregate(list(division.area=states3$state.area), #' list(division=state.division, region=state.region), #' sum) #' #' my.states3 <- data.frame(regionid=c("USA", #' as.character(regions$region), #' as.character(divisions$division), #' as.character(states3$state.name)), #' parentid=c(NA, rep("USA", 4), #' as.character(divisions$region), #' as.character(states3$state.division)), #' state.area=c(sum(states3$state.area), #' regions$region.area, #' divisions$division.area, #' states3$state.area)) #' #' my.states3$state.area.log=log(my.states3$state.area) #' #' statesTree3 <- gvisTreeMap(my.states3, "regionid", "parentid", #' "state.area", "state.area.log") #' #' plot(statesTree3) #' #' #' gvisTreeMap <- function(data, idvar="", parentvar="", sizevar="", colorvar="",options=list(), chartid){ my.type <- "TreeMap" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(width = 600, height=500),options), dataName=dataName, data=list(idvar=idvar, parentvar=parentvar, sizevar=sizevar,colorvar=colorvar, allowed=c("number", "string")) ) checked.data <- gvisCheckTreeMapData(data, my.options) output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid) return(output) } gvisCheckTreeMapData <- function(data, options){ data.structure <- list( idvar = list(mode="required",FUN=check.char), parentvar = list(mode="required",FUN=check.char), sizevar = list(mode="required",FUN=check.num.pos), colorvar = list(mode="required",FUN=check.num)) x <- gvisCheckData(data=data,options=options,data.structure=data.structure) # is there parent for every id? parent.match.id <- x[[2]][!(x[[2]] %in% x[[1]])] if (sum(is.na(parent.match.id))!=1 || length(parent.match.id)!=1){ stop("parentvar and idvar do not fit together.") } x <- data.frame(x) ## less.equal.zero <- sum(x[['sizevar']] <= 0) ## infinite <- sum(is.infinite(x[['sizevar']])) ## if(less.equal.zero > 0){ ## warning(paste("Values in column sizevar should be greater than 0,\n", ## "however, your data has ", less.equal.zero, "values less or equal to 0.\n", ## sep="")) ## } ## if(infinite>0){ ## warning(paste("Values in column sizevar have to be greater than 0 and finite,\n", ## "however, your data has", infinite, "infinite values.", ## sep="")) ## } return(x) } googleVis/R/gvisTimeLine.R0000644000176200001440000001364612737123564015157 0ustar liggesusers### File R/gvisPieChart.R ### Part of the R package googleVis ### Copyright 2010, 2011, 2012, 2013 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Timeline Chart with R #' \Sexpr{googleChartName <- "timeline"} #' \Sexpr{gvisChartName <- "gvisTimeline"} #' #' @description #' A timeline is a chart that depicts how a set of resources are used #' over time. One popular type of timeline is the Gantt chart. #' #' @param data data.frame that contains the data to be visualised #' @param rowlabel a string that referes to the column name in #' \code{data} for the row labels to be used #' @param barlabel a string that referes to the column name in #' \code{data} for the bar labels to be used #' @param start number, date or datetime for the start dates #' @param end number, date or datetime for the end dates #' @param options list of configuration options. #' The options are documented in detail by Google online: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' #' @author Markus Gesmann \email{markus.gesmann@@gmail.com} #' #' @export #' #' @keywords iplot #' #' @examples #' dat <- data.frame(Term=c("1","2","3"), #' President=c("Whasington", "Adams", "Jefferson"), #' start=as.Date(x=c("1789-03-29", "1797-02-03", "1801-02-03")), #' end=as.Date(x=c("1797-02-03", "1801-02-03", "1809-02-03"))) #' #' tl <- gvisTimeline(data=dat[,-1], rowlabel="President", #' start="start", end="end") #' plot(tl) #' #' tl <- gvisTimeline(data=dat, barlabel="President", #' start="start", end="end") #' plot(tl) #' #' tl <- gvisTimeline(data=dat, rowlabel="President", #' start="start", end="end", #' options=list(timeline="{showRowLabels:false}")) #' plot(tl) #' #' dat <- data.frame(Position=c(rep("President", 3), rep("Vice", 3)), #' Name=c("Washington", "Adams", "Jefferson", #' "Adams", "Jefferson", "Burr"), #' start=as.Date(x=rep(c("1789-03-29", "1797-02-03", "1801-02-03"),2)), #' end=as.Date(x=rep(c("1797-02-03", "1801-02-03", "1809-02-03"),2))) #' #' tl <- gvisTimeline(data=dat, rowlabel="Name",barlabel="Position", #' start="start", end="end", #' options=list(timeline="{showRowLabels:true}")) #' plot(tl) #' #' tl <- gvisTimeline(data=dat, rowlabel="Name",barlabel="Position", #' start="start", end="end", #' options=list(timeline="{groupByRowLabel:false}", #' backgroundColor='#ffd', height=350, #' colors="['#cbb69d', '#603913', '#c69c6e']")) #' #' plot(tl) #' #' # Datetime example #' dat <- data.frame(Room=c("Room 1","Room 2","Room 3"), #' Language=c("English", "German", "French"), #' start=as.POSIXct(c("2014-03-14 14:00", "2014-03-14 15:00", #' "2014-03-14 14:30")), #' end=as.POSIXct(c("2014-03-14 15:00", "2014-03-14 16:00", #' "2014-03-14 15:30"))) #' tl <- gvisTimeline(data=dat, rowlabel="Language", #' start="start", end="end") #' plot(tl) #' #' \dontrun{ #' require(timeline) #' data(ww2) #' timeline(ww2, ww2.events, event.spots=2, event.label='', event.above=FALSE) #' ww2$Person <- gsub("\\n" ," ", ww2$Person) #' plot(gvisTimeline(ww2, barlabel="Person", rowlabel="Group", #' start="StartDate", end="EndDate", #' options=list(width=600, height=350)) #' ) #' } gvisTimeline <- function(data, rowlabel="", barlabel="", start="", end="", options=list(), chartid){ my.type <- "Timeline" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(width=600, height=200),options), dataName=dataName, data=list(rowlabel=rowlabel, barlabel=barlabel, start=start, end=end, allowed=c("number", "string", "date", "datetime")) ) checked.data <- gvisCheckTimelineData(data, rl=rowlabel, bl=barlabel, start=start, end=end) output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid=chartid, package="timeline") return(output) } gvisCheckTimelineData <- function(data, rl, bl, start, end){ if(any(c(rl, bl, start, end) %in% "")) return(data) else return(data[, c(rl, bl, start, end)]) } googleVis/R/gvisTable.R0000644000176200001440000001130512737123564014466 0ustar liggesusers### File R/gvisTable.R ### Part of the R package googleVis ### Copyright 2010 - 2014 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Table Chart with R #' \Sexpr{googleChartName <- "table"} #' \Sexpr{gvisChartName <- "gvisTable"} #' #' #' The gvisTable function reads a data.frame and creates text output referring #' to the Google Visualisation API, which can be included into a web page, or #' as a stand-alone page. The actual chart is rendered by the web browser. #' #' A table that can be sorted and paged. Table cells can be formatted using #' format strings, or by directly inserting HTML as cell values. Numeric values #' are right-aligned; boolean values are displayed as check marks. Users can #' select single rows either with the keyboard or the mouse. Users can sort #' rows by clicking on column headers. The header row remains fixed as the user #' scrolls. The table fires a number of events corresponding to user #' interaction. #' #' #' @param data a \code{\link{data.frame}} to be displayed as a table #' @param formats named list. If \code{NULL} (default) no specific format will #' be used. The named list needs to contain the column names of the data and #' the specified format. The format string is a subset of the ICU pattern set. #' For instance, {pattern:'#,###\%'} will result in output values "1,000\%", #' "750\%", and "50\%" for values 10, 7.5, and 0.5. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for #' printing and plotting methods. #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires Flash and Internet #' ## connection to display the visualisation. #' #' ## Table with links to wikipedia (flags) #' tbl1 <- gvisTable(Population) #' plot(tbl1) #' #' ## Table with enabled paging #' tbl2 <- gvisTable(Population, options=list(page='enable', #' height='automatic', #' width='automatic')) #' #' plot(tbl2) #' #' ## Table with formating options #' tbl3 <- gvisTable(Population, formats=list(Population="#,###")) #' #' Population[['% of World Population']] <- Population[['% of World Population']]/100 #' tbl4 <- gvisTable(Population, formats=list(Population="#,###", #' '% of World Population'='#.#%')) #' plot(tbl4) #' gvisTable <- function(data, options=list(), chartid, formats = NULL){ my.type <- "Table" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(allowHtml=TRUE),options), dataName=dataName, data=list(allowed=c("number","string","date","datetime","boolean"))) checked.data <- gvisCheckTableData(data) output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid=chartid, formats = formats) return(output) } gvisCheckTableData <- function(data){ # nothing to check at the moment here return(data) } googleVis/R/gvisGeoChart.R0000644000176200001440000002540112737123564015135 0ustar liggesusers### File R/gvisGeoChart.R ### Part of the R package googleVis ### Copyright 2010 - 2014 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Geo Chart with R #' \Sexpr{googleChartName <- "geochart"} #' \Sexpr{gvisChartName <- "gvisGeoChart"} #' #' The gvisGeoChart function reads a data.frame and creates text output #' referring to the Google Visualisation API, which can be included into a web #' page, or as a stand-alone page. #' #' A geo chart is a map of a country, a continent, or a region with two modes: #' The region mode colorizes whole regions, such as countries, provinces, or #' states. The marker mode marks designated regions using bubbles that are #' scaled according to a value that you specify. #' #' A geo chart is rendered within the browser using SVG or VML. Note that the #' map is not scrollable or draggable. #' #' #' @param data a \code{data.frame}. The data has to have at least one column #' with location name (\code{locationvar}), value to be mapped to location. The #' format of the data varies depending on which display mode that you use: #' Regions or Markers. #' @param locationvar column name of \code{data} with the geo locations to be #' analysed. The locations can be provide in two formats: \describe{ #' \item{Format 1}{'latitude:longitude'. See the example below.} \item{Format #' 2}{Address, country name, region name locations, or US metropolitan area #' codes, see #' \url{http://code.google.com/apis/adwords/docs/developer/adwords_api_us_metros.html}. #' This format works with the \code{dataMode} option set to either 'markers' or #' 'regions'. The following formats are accepted: A specific address (for #' example, "1600 Pennsylvania Ave"). A country name as a string (for example, #' "England"), or an uppercase ISO-3166 code or its English text equivalent #' (for example, "GB" or "United Kingdom"). An uppercase ISO-3166-2 region #' code name or its English text equivalent (for example, "US-NJ" or "New #' Jersey"). } } #' @param colorvar column name of \code{data} with the optional numeric column #' used to assign a color to this marker, based on the scale specified in the #' \code{colorAxis.colors} property. If this column is not present, all markers #' will be the same color. If the column is present, null values are not #' allowed. Values are scaled relative to each other, or absolutely to values #' specified in the \code{colorAxis.values} property. #' @param sizevar only used for \code{displayMode='markers'}. Column name of #' \code{data} with the optional numeric column used to assign the marker size, #' relative to the other marker sizes. If this column is not present, the value #' from the previous column will be used (or default `size, if no color column #' is provided as well). If the column is present, null valuesare not allowed. #' @param hovervar column name of \code{data} with the additional string text #' displayed when the user hovers over this region. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' Diego de Castillo \email{decastillo@@gmail.com} #' #' @seealso #' See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} #' for printing and plotting methods. #' #' @export #' #' @keywords iplot #' #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires Internet #' ## connection to display the visualisation. #' #' ## Regions examples #' ## The regions style fills entire regions (typically countries) with #' ## colors corresponding to the values that you assign #' #' G1a <- gvisGeoChart(Exports, locationvar='Country', colorvar='Profit') #' #' plot(G1a) #' #' ## Change projection #' G1b <- gvisGeoChart(Exports, locationvar='Country', colorvar='Profit', #' options=list(projection="kavrayskiy-vii")) #' #' plot(G1b) #' #' ## Plot only Europe #' G2 <- gvisGeoChart(Exports, "Country", "Profit", #' options=list(region="150")) #' #' plot(G2) #' #' #' ## Example showing US data by state #' require(datasets) #' #' states <- data.frame(state.name, state.x77) #' G3 <- gvisGeoChart(states, "state.name", "Illiteracy", #' options=list(region="US", displayMode="regions", #' resolution="provinces", #' width=600, height=400)) #' plot(G3) #' #' ## Markers Example #' ## A marker style map renders bubble-shaped markers at specified #' ## locations with the color and size that you specify. #' #' G4 <- gvisGeoChart(CityPopularity, locationvar='City', colorvar='Popularity', #' options=list(region='US', height=350, #' displayMode='markers', #' colorAxis="{values:[200,400,600,800], #' colors:[\'red', \'pink\', \'orange',\'green']}") #' ) #' plot(G4) #' #' G5 <- gvisGeoChart(Andrew, "LatLong", colorvar='Speed_kt', #' options=list(region="US")) #' plot(G5) #' #' #' G6 <- gvisGeoChart(Andrew, "LatLong", sizevar='Speed_kt', #' colorvar="Pressure_mb", options=list(region="US")) #' plot(G6) #' #' ## Create lat:long values and plot a map of Oceania #' ## Set background colour to light-blue #' #' require(stats) #' data(quakes) #' head(quakes) #' quakes$latlong<-paste(quakes$lat, quakes$long, sep=":") #' #' G7 <- gvisGeoChart(quakes, "latlong", "depth", "mag", #' options=list(displayMode="Markers", region="009", #' colorAxis="{colors:['red', 'grey']}", #' backgroundColor="lightblue")) #' #' plot(G7) #' #' \dontrun{ #' # Plot S&P countries' credit rating sourced from Wikipedia #' # Use the hovervar to show the rating #' library(XML) #' url <- "http://en.wikipedia.org/wiki/List_of_countries_by_credit_rating" #' x <- readHTMLTable(readLines(url), which=3) #' levels(x$Rating) <- substring(levels(x$Rating), 4, #' nchar(levels(x$Rating))) #' x$Ranking <- x$Rating #' levels(x$Ranking) <- nlevels(x$Rating):1 #' x$Ranking <- as.character(x$Ranking) #' x$Rating <- paste(x$Country, x$Rating, sep=": ") #' #### Create a geo chart #' G8 <- gvisGeoChart(x, "Country", "Ranking", hovervar="Rating", #' options=list(gvis.editor="S&P", #' colorAxis="{colors:['#91BFDB', '#FC8D59']}")) #' plot(G8) #' #' #' ## Plot world wide earth quakes of the last 30 days with magnitude >= 4.0 #' library(XML) #' ## Get earthquake data of the last 30 days #' eq <- read.csv("http://earthquake.usgs.gov/earthquakes/feed/v0.1/summary/2.5_week.csv") #' eq$loc=paste(eq$Latitude, eq$Longitude, sep=":") #' #' G9 <- gvisGeoChart(eq, "loc", "Depth", "Magnitude", #' options=list(displayMode="Markers", #' colorAxis="{colors:['purple', 'red', 'orange', 'grey']}", #' backgroundColor="lightblue"), chartid="EQ") #' plot(G9) #' } #' gvisGeoChart <- function(data, locationvar="", ## numvar="", colorvar="", sizevar="", hovervar="", options=list(), chartid){ my.type <- "GeoChart" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(width = 556, height=347),options), dataName=dataName, data=list(locationvar=locationvar, hovervar=hovervar, ## numvar=numvar, colorvar=colorvar, sizevar=sizevar, allowed=c("number", "string") ) ) checked.data <- gvisCheckGeoChartData(data, my.options) if(any("numeric" %in% lapply(checked.data[,1], class))){ my.options <- modifyList(list(gvis=list()), my.options) } output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid=chartid) return(output) } gvisCheckGeoChartData <- function(data, options){ data.structure <- list( locationvar = list(mode="required",FUN=check.location), hovervar = list(mode="optional",FUN=check.char), ## numvar = list(mode="optional",FUN=check.num), colorvar = list(mode="optional",FUN=check.num), sizevar = list(mode="optional",FUN=check.num)) x <- gvisCheckData(data=data,options=options,data.structure=data.structure) if (sum(nchar(gsub("[[:digit:].-]+:[[:digit:].-]+", "", x[[1]]))) == 0){ # split first index and delete this one latlong <- as.data.frame(do.call("rbind",strsplit(as.character(x[[1]]),':'))) x[[1]] <- NULL varNames <- names(x) x$Latitude <- as.numeric(as.character(latlong$V1)) x$Longitude <- as.numeric(as.character(latlong$V2)) x <- x[c("Latitude","Longitude",varNames)] } return(data.frame(x)) } ## gvisCheckGeoMapData <- function(data, options){ ## ## data.structure <- list( ## locationvar = list(mode="required",FUN=check.location), ## numvar = list(mode="optional",FUN=check.num), ## sizevar = list(mode="optional",FUN=check.num) ## ) ## ## x <- gvisCheckData(data=data,options=options,data.structure=data.structure) ## ## return(data.frame(x)) ## } googleVis/R/gvisGeoMap.R0000644000176200001440000002031312761447143014605 0ustar liggesusers### File R/gvisGeoMap.R ### Part of the R package googleVis ### Copyright 2010, 2011, 2012, 2013 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' #' Google Geo Map with R #' \Sexpr{googleChartName <- "geomap"} #' \Sexpr{gvisChartName <- "gvisGeoMap"} #' @description #' The gvisGeoMap function reads a data.frame and #' creates text output referring to the Google Visualisation API, which can be #' included into a web page, or as a stand-alone page. #' #' A geo map is a map of a country, continent, or region map, with colours #' and values assigned to specific regions. Values are displayed as a colour #' scale, and you can specify optional hover-text for regions. The map is #' rendered in the browser. Note that the #' map is not scroll-able or drag-gable, but can be configured to allow #' zooming. #' #' @param data \code{data.frame}. The data has to have at least two #' columns with location name (\code{locationvar}), value to be mapped #' to location (\code{numvar}) and an optional variable to display any #' text while the mouse hovers over the location (\code{hovervar}). #' @param locationvar column name of \code{data} with the geo locations to be #' analysed. The locations can be provide in two formats: #' #' \describe{ #' \item{Format 1}{'latitude:longitude'. See the example below.} #' \item{Format 2}{Address, country name, region name locations, or #' US metropolitan area codes, see #' \url{http://code.google.com/apis/adwords/docs/developer/adwords_api_us_metros.html}. #' This format works with the \code{dataMode} option set to either #' 'markers' or 'regions'. The following formats are accepted: #' A specific address (for example, "1600 Pennsylvania Ave"). #' A country name as a string (for example, "England"), or an uppercase ISO-3166 code #' or its English text equivalent (for example, "GB" or "United Kingdom"). #' An uppercase ISO-3166-2 region code name or its English text #' equivalent (for example, "US-NJ" or "New Jersey"). #' } #' } #' @param numvar column name of \code{data} with the numeric value #' displayed when the user hovers over this region. #' @param hovervar column name of \code{data} with the additional string #' text displayed when the user hovers over this region. #' @param options list of configuration options. #' The options are documented in detail by Google online: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' Diego de Castillo \email{decastillo@@gmail.com} #' #' #' @section Warnings: #' GeoMap (gvisGeoMap) is Flash based, conisder using GeoChart (gvisGeoChart) instead. #' For more details visit: goo.gl/tkiEV8 #' #' Because of Flash security settings the chart #' might not work correctly when accessed from a file location in the #' browser (e.g., file:///c:/webhost/myhost/myviz.html) rather than #' from a web server URL (e.g. http://www.myhost.com/myviz.html). #' See the googleVis package vignette and the Macromedia web #' site (\url{http://www.macromedia.com/support/documentation/en/flashplayer/help/}) #' for more details. #' #' @export #' #' @keywords iplot #' #' @examples #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires Internet #' ## connection to display the visualisation. #' #' ## Regions Example #' ## The regions style fills entire regions (typically countries) with colors #' ## corresponding to the values that you assign. Specify the regions style #' ## by assigning options['dataMode'] = 'regions' in your code. #' #' G1 <- gvisGeoMap(Exports, locationvar='Country', numvar='Profit', #' options=list(dataMode="regions")) #' #' plot(G1) #' #' ## Markers Example #' ## The "markers" style displays a circle, sized and colored to indicate #' ## a value, over the regions that you specify. #' G2 <- gvisGeoMap(CityPopularity, locationvar='City', numvar='Popularity', #' options=list(region='US', height=350, #' dataMode='markers', #' colors='[0xFF8747, 0xFFB581, 0xc06000]')) #' #' plot(G2) #' #' ## Example showing US data by state #' #' require(datasets) #' states <- data.frame(state.name, state.x77) #' #' G3 <- gvisGeoMap(states, "state.name", "Illiteracy", #' options=list(region="US", dataMode="regions", #' width=600, height=400)) #' plot(G3) #' #' ## Example with latitude and longitude information #' ## Show Hurricane Andrew (1992) storm track #' G4 <- gvisGeoMap(Andrew, locationvar="LatLong", numvar="Speed_kt", #' hovervar="Category", #' options=list(height=350, region="US", dataMode="markers")) #' #' plot(G4) #' #' ## World population #' WorldPopulation=data.frame(Country=Population$Country, #' Population.in.millions=round(Population$Population/1e6,0), #' Rank=paste(Population$Country, "Rank:", Population$Rank)) #' #' G5 <- gvisGeoMap(WorldPopulation, "Country", "Population.in.millions", "Rank", #' options=list(dataMode="regions", width=600, height=300)) #' plot(G5) #' gvisGeoMap <- function(data, locationvar="", numvar="", hovervar="", options=list(), chartid){ warning("GeoMap (gvisGeoMap) is Flash based, conisder using GeoChart (gvisGeoChart) instead.\nFor more details visit: goo.gl/tkiEV8") my.type <- "GeoMap" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(width = 556, height=347),options), dataName=dataName, data=list(locationvar=locationvar, numvar=numvar, hovervar=hovervar, allowed=c("number", "string"))) checked.data <- gvisCheckGeoMapData(data, my.options) if(any("numeric" %in% lapply(checked.data[,c(1,2)],class))){ my.options <- modifyList(list(gvis=list(dataMode = "regions")), my.options) } output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid=chartid) return(output) } gvisCheckGeoMapData <- function(data, options){ data.structure <- list( locationvar = list(mode="required",FUN=check.location), numvar = list(mode="optional",FUN=check.num), hovervar = list(mode="optional",FUN=check.char)) x <- gvisCheckData(data=data,options=options,data.structure=data.structure) if (sum(nchar(gsub("[[:digit:].-]+:[[:digit:].-]+", "", x[[1]]))) == 0){ # split first index and delete this one latlong <- as.data.frame(do.call("rbind",strsplit(as.character(x[[1]]),':'))) x[[1]] <- NULL varNames <- names(x) x$Latitude <- as.numeric(as.character(latlong$V1)) x$Longitude <- as.numeric(as.character(latlong$V2)) x <- x[c("Latitude","Longitude",varNames)] } return(data.frame(x)) } googleVis/R/gvisPieGaugeChart.R0000644000176200001440000001574712737123564016125 0ustar liggesusers### Part of the R package googleVis ### Copyright 2010 - 2014 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Pie Chart with R #' \Sexpr{googleChartName <- "piechart"} #' \Sexpr{gvisChartName <- "gvisPieChart"} #' #' The gvisPieChart function reads a data.frame and creates text output #' referring to the Google Visualisation API, which can be included into a web #' page, or as a stand-alone page. The actual chart is rendered by the web #' browser using SVG or VML. #' #' #' @param data a \code{\link{data.frame}} to be displayed as a pie chart #' @param labelvar Name of the character column which contains the category #' labels for the slice labels. #' @param numvar a vector of column names of the numerical variables of the #' slice values. #' @param options list of configuration options for Google Pie Charts, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for #' printing and plotting methods #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires an internet #' ## connection to display the visualisation. #' #' Pie1 <- gvisPieChart(CityPopularity) #' plot(Pie1) #' #' ## Doughnut chart - a pie with a hole #' Pie2 <- gvisPieChart(CityPopularity, options=list( #' slices="{4: {offset: 0.2}, 0: {offset: 0.3}}", #' title='City popularity', #' legend='none', #' pieSliceText='label', #' pieHole=0.5)) #' plot(Pie2) #' #' #' gvisPieChart <- function(data, labelvar="", numvar="", options=list(), chartid){ my.type <- "PieChart" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(allowHtml=TRUE),options), dataName=dataName, data=list(locationvar=labelvar, numvar=numvar, allowed=c("number", "string")) ) checked.data <- gvisCheckPieChartData(data, my.options) output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid=chartid, package="corechart") return(output) } #' Google Gauge with R #' \Sexpr{googleChartName <- "gauge"} #' \Sexpr{gvisChartName <- "gvisGauge"} #' #' The gvisGauge function reads a data.frame and creates text output referring #' to the Google Visualisation API, which can be included into a web page, or #' as a stand-alone page. The actual chart is rendered by the web browser using #' SVG or VML. #' #' @param data a \code{\link{data.frame}} to be displayed as a gauge #' @param labelvar name of the character column which contains the category #' labels for the slice labels. #' @param numvar a vector of column names of the numerical variables of the #' slice values. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for #' printing and plotting methods #' #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires an internet #' ## connection to display the visualisation. #' #' Gauge1 <- gvisGauge(CityPopularity, options=list(min=0, max=800, greenFrom=500, #' greenTo=800, yellowFrom=300, yellowTo=500, #' redFrom=0, redTo=300)) #' #' plot(Gauge1) #' gvisGauge <- function(data, labelvar="", numvar="", options=list(), chartid){ my.type <- "Gauge" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(allowHtml=TRUE),options), dataName=dataName, data=list(locationvar=labelvar, numvar=numvar, allowed=c("number", "string")) ) checked.data <- gvisCheckPieChartData(data, my.options) output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid=chartid, package="gauge") return(output) } ## plot(gvisGauge(CityPopularity, options=list(min=0, max=800, greenFrom=500, ## greenTo=800, yellowFrom=300, yellowTo=500, redFrom=0, redTo=300))) gvisCheckPieChartData <- function(data, options){ data.structure <- list( locationvar = list(mode="required",FUN=check.location), numvar = list(mode="required",FUN=check.num) ) x <- gvisCheckData(data=data, options=options, data.structure=data.structure) return(data) } googleVis/R/gvisSankey.R0000644000176200001440000001041412737123564014671 0ustar liggesusers### Copyright 2010 - 2014 Markus Gesmann ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Sankey Chart with R #' \Sexpr{googleChartName <- "sankey"} #' \Sexpr{gvisChartName <- "gvisSankey"} #' @description #' A sankey diagram is a visualization used to depict a flow from one set of #' values to another. The things being connected are called nodes and the #' connections are called links. They're named after Captain Sankey, who created #' a diagram of steam engine efficiency that used arrows having widths #' proportional to heat loss. #' #' @param data data.frame that contains the data to be visualised #' @param from a string that referes to the column name in #' \code{data} for the source nodes to be used #' @param to a string that referes to the column name in #' \code{data} for the destination nodes to be used #' @param weight name of the column with the numerical weight of the connections #' @param options list of configuration options. #' The options are documented in detail by Google online: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' #' @author Markus Gesmann \email{markus.gesmann@@gmail.com} #' #' @export #' #' @section Warning: #' The sankey chart may be undergoing substantial revisions in #' future Google Charts releases. #' #' @keywords iplot #' #' @examples #' dat <- data.frame(From=c(rep("A",3), rep("B", 3)), #' To=c(rep(c("X", "Y", "Z"),2)), #' Weight=c(5,7,6,2,9,4)) #' #' sk1 <- gvisSankey(dat, from="From", to="To", weight="Weight") #' plot(sk1) #' #' sk2 <- gvisSankey(dat, from="From", to="To", weight="Weight", #' options=list(sankey="{link: {color: { fill: '#d799ae' } }, #' node: { color: { fill: '#a61d4c' }, #' label: { color: '#871b47' } }}")) #' plot(sk2) #' gvisSankey <- function(data, from="", to="", weight="", options=list(), chartid){ my.type <- "Sankey" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(width=400, height=400),options), dataName=dataName, data=list(from=from, to=to, weight=weight, allowed=c("number", "string")) ) #checked.data <- gvisCheckSankeyData(data, my.options) output <- gvisChart(type=my.type, checked.data=data, options=my.options, chartid=chartid, package="sankey") return(output) } # # gvisCheckSankeyData <- function(data, options){ # # data.structure <- list( # from = list(mode="required", FUN=check.char), # to = list(mode="required", FUN=check.char), # weight = list(mode="required", FUN=check.num) # ) # data <- gvisCheckData(data=data, options=options, data.structure=data.structure) # # return(data) # } googleVis/R/gvisCalendar.R0000644000176200001440000001170512737123564015154 0ustar liggesusers### Part of the R package googleVis ### Copyright 2010 - 2014 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Calendar Chart with R #' \Sexpr{googleChartName <- "Calendar"} #' \Sexpr{gvisChartName <- "gvisCalendar"} #' #' A calendar chart is a visualization used to show activity over the course #' of a long span of time, such as months or years. They're best used when #' you want to illustrate how some quantity varies depending on the day of #' the week, or how it trends over time. #' #' @param data a \code{data.frame}. The data has to have at least two columns, #' one with date information (\code{datevar}) and one numerical variable. #' @param datevar column name of \code{data} which shows the date dimension. #' The information has to be of class \code{\link{Date}} or \code{POSIX*} time #' series. #' @param numvar column name of \code{data} which shows the values to be #' displayed against \code{datevar}. The information has to be #' \code{\link{numeric}}. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}}. #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' #' @section Warning: #' The calendar chart may be undergoing substantial revisions in future #' Google Charts releases. #' #' @seealso #' #' See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and #' plotting methods. #' @keywords iplot #' @examples #' cl1 <- gvisCalendar(Cairo, datevar="Date", numvar="Temp") #' plot(cl1) #' #'## Not all months shown? #'## We can change the setting of the width ... #' #' cl2 <- gvisCalendar(Cairo, datevar="Date", numvar="Temp", #' options=list(width=1000)) #' plot(cl2) #' #' ## ... or the cell size #' cl3 <- gvisCalendar(Cairo, datevar="Date", #' numvar="Temp", #' options=list(calendar="{ cellSize: 10 }")) #' plot(cl3) #' #' ## Example with many options set #' cl4 <- gvisCalendar(Cairo, datevar="Date", numvar="Temp", #' options=list( #' title="Daily temperature in Cairo", #' height=320, #' calendar="{yearLabel: { fontName: 'Times-Roman', #' fontSize: 32, color: '#1A8763', bold: true}, #' cellSize: 10, #' cellColor: { stroke: 'red', strokeOpacity: 0.2 }, #' focusedCellColor: {stroke:'red'}}") #' ) #' plot(cl4) #' gvisCalendar <- function(data, datevar="", numvar="", options=list(), chartid){ my.type <- "Calendar" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(width = 600, height=500), options), dataName=dataName, data=list(datevar=datevar, numvar=numvar, allowed=c("number", "date", "datetime")) ) checked.data <- gvisCheckCalendar(data, datevar, numvar) output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid=chartid) return(output) } gvisCheckCalendar <- function(data, datevar, numvar){ if(any(c(datevar, numvar) %in% "")) return(data[, 1:2]) if(numvar %in% "") return(cbind(data[, datevar], data[, 2])) if(datevar %in% "") return(cbind(data[, 1], data[, numvar])) return(data[, c(datevar, numvar)]) } googleVis/R/gvisOrgChart.R0000644000176200001440000001211512737123564015150 0ustar liggesusers### File R/gvisOrgChart.R ### Part of the R package googleVis ### Copyright 2010 - 2014 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Org Chart with R #' \Sexpr{googleChartName <- "orgchart"} #' \Sexpr{gvisChartName <- "gvisOrgChart"} #' #' An organizational chart that supports selection. #' #' The gvisOrgChart function reads a data.frame and creates text output #' referring to the Google Visualisation API, which can be included into a web #' page, or as a stand-alone page. The actual chart is rendered by the web #' browser. #' #' #' @param data a \code{data.frame}. The data has to have at least three #' columns. Each row in the data table describes one node (a rectangle in the #' graph). Each node (except the root node) has one or more parent nodes. Each #' node is sized and colored according to its values relative to the other #' nodes currently shown. #' @param idvar column name of \code{data} describing the ID for each node. It #' should be unique among all nodes, and can include any characters, including #' spaces. This is shown on the node. You can specify a formatted value to show #' on the chart instead, but the unformatted value is still used as the ID. #' @param parentvar column name of \code{data} that match to entries in #' \code{idvar}. If this is a root node, leave this \code{NA}. Only one root is #' allowed. #' @param tipvar column name of \code{data} for the tip variable. Tool-tip text #' to show, when a user hovers over this node. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso #' #' See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and #' plotting methods. #' @keywords iplot #' #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires Internet #' ## connection to display the visualisation. #' #' Regions #' Org1 <- gvisOrgChart(Regions, idvar = "Region", parentvar = "Parent", #' tipvar="Val") #' plot(Org1) #' #' ## Set a few options #' Org2 <- gvisOrgChart(Regions, idvar = "Region", parentvar = "Parent", #' tipvar="Val", #' options=list(width=600, height=400, #' size='large', allowCollapse=TRUE)) #' plot(Org2) #' gvisOrgChart <- function(data, idvar="", parentvar="", tipvar="", options=list(), chartid){ my.type <- "OrgChart" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(width = 600, height=400), options), dataName=dataName, data=list(idvar=idvar, parentvar=parentvar, tipvar=tipvar, allowed=c("string")) ) checked.data <- gvisCheckOrgChartData(data, my.options) output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid) return(output) } ## plot(gvisOrgChart(Regions)) ## plot(gvisOrgChart(Regions, options=list(width=600, height=400, size='large', allowCollapse=TRUE))) gvisCheckOrgChartData <- function(data, options){ data.structure <- list( idvar = list(mode="required",FUN=check.char), parentvar = list(mode="required",FUN=check.char), tipvar = list(mode="required",FUN=check.char)) x <- gvisCheckData(data=data,options=options,data.structure=data.structure) # is there parent for every id? parent.match.id <- x[[2]][!(x[[2]] %in% x[[1]])] if (sum(is.na(parent.match.id))!=1 || length(parent.match.id)!=1){ stop("parentvar and idvar do not fit together.") } return(data.frame(x)) } googleVis/R/gvisMap.R0000644000176200001440000001357712737123564014171 0ustar liggesusers### File R/gvisMap.R ### Part of the R package googleVis ### Copyright 2010 - 2014 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Maps with R #' \Sexpr{googleChartName <- "map"} #' \Sexpr{gvisChartName <- "gvisMap"} #' #' The gvisMap function reads a data.frame and creates text output referring to #' the Google Visualisation API, which can be included into a web page, or as a #' stand-alone page. #' #' The maps are the well known Google Maps. #' #' @param data a \code{data.frame}. The data has to have at least two columns #' with location name (\code{locationvar}) and the variable to display the text #' in the tip icon (\code{tipvar}). #' #' @param locationvar column name of \code{data} with the geo locations to be #' analysed. The locations can be provide in two formats: \describe{ #' \item{Format 1}{'latitude:longitude'. See the example below.} \item{Format #' 2}{The first column should be a string that contains an address. This #' address should be as complete as you can make it. } } #' @param tipvar column name of \code{data} with the string text displayed over #' the tip icon. #' @param options list of configuration options for Google Map. #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso #' #' See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and #' plotting methods, \code{\link{gvisGeoMap}} and #' \code{\link{gvisIntensityMap}} for an alternative to \code{gvisMap}. #' #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires Internet #' ## connection to display the visualisation. #' #' ## Example with latitude and longitude information #' ## Plot Hurricane Andrew (1992) storm path: #' #' data(Andrew) #' #' M1 <- gvisMap(Andrew, "LatLong" , "Tip", #' options=list(showTip=TRUE, showLine=TRUE, enableScrollWheel=TRUE, #' mapType='hybrid', useMapTypeControl=TRUE, #' width=800,height=400)) #' #' plot(M1) #' #' #' ## Example with address, here UK post-code and some html code in tooltip #' #' df <- data.frame(Postcode=c("EC3M 7HA", "EC2P 2EJ"), #' Tip=c("Lloyd's", #' "Guildhall")) #' #' M2 <- gvisMap(df, "Postcode", "Tip", #' options=list(showTip=TRUE, mapType='normal', #' enableScrollWheel=TRUE)) #' #' plot(M2) #' #' ## Change mapping icons #' M3 <- gvisMap(df, "Postcode", "Tip", #' options=list(showTip=TRUE, mapType='normal', #' enableScrollWheel=TRUE, #' icons=paste0("{", #' "'default': {'normal': 'http://icons.iconarchive.com/", #' "icons/icons-land/vista-map-markers/48/", #' "Map-Marker-Ball-Azure-icon.png',\n", #' "'selected': 'http://icons.iconarchive.com/", #' "icons/icons-land/vista-map-markers/48/", #' "Map-Marker-Ball-Right-Azure-icon.png'", #' "}}"))) #' #' plot(M3) gvisMap <- function(data, locationvar="", tipvar="",options=list(), chartid){ my.type <- "Map" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(showTip = TRUE),options), dataName=dataName, data=list(locationvar=locationvar, tipvar=tipvar, allowed=c("number","string")) ) checked.data <- gvisCheckMapData(data, my.options) output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid=chartid) return(output) } gvisCheckMapData <- function(data, options){ data.structure <- list( locationvar = list(mode="required",FUN=check.location), tipvar = list(mode="required",FUN=check.char)) x <- gvisCheckData(data=data,options=options,data.structure=data.structure) if (sum(nchar(gsub("[[:digit:].-]+:[[:digit:].-]+", "", x[[1]]))) == 0){ # split first index and delete this one latlong <- as.data.frame(do.call("rbind",strsplit(as.character(x[[1]]),':'))) x[[1]] <- NULL varNames <- names(x) x$Latitude <- as.numeric(as.character(latlong$V1)) x$Longitude <- as.numeric(as.character(latlong$V2)) x <- x[c("Latitude","Longitude",varNames)] } return(data.frame(x)) } googleVis/R/gvisHistogram.R0000644000176200001440000000747112737123564015405 0ustar liggesusers### Part of the R package googleVis ### Copyright 2011 - 2014 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Histogram Chart with R #' \Sexpr{googleChartName <- "histogram"} #' \Sexpr{gvisChartName <- "gvisHistogram"} #' #' The gvisHistogram function reads a data.frame and creates text output #' referring to the Google Visualisation API, which can be included into a web #' page, or as a stand-alone page. The actual chart is rendered by the web #' browser using SVG or VML. #' #' #' @param data a \code{\link{data.frame}} to be displayed as a histogram. #' Each column will be displayed as a histogram. #' #' @param options list of configuration options, see #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}}. #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for #' printing and plotting methods #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires an internet #' ## connection to display the visualisation. #' #' #' hist1 <- gvisHistogram(dino) #' plot(hist1) #' #' ## Histogram of the top 20 countries #' pop <- Population[1:20,c("Country", "Population")] #' pop=transform(pop, Population=round(Population/1e6)) #' #' hist2 <- gvisHistogram(pop, option=list(title="Country Populations", #' legend="{ position: 'none' }", #' colors="['green']")) #' plot(hist2) #' #' set.seed(123) #' dat=data.frame(A=rpois(100, 20), #' B=rpois(100, 5), #' C=rpois(100, 50)) #' hist3 <- gvisHistogram(dat, options=list( #' legend="{ position: 'top', maxLines: 2 }", #' colors="['#5C3292', '#1A8763', '#871B47']")) #' #' plot(hist3) gvisHistogram <- function(data, options=list(), chartid){##, editor my.type <- "Histogram" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(allowHtml=TRUE),options), dataName=dataName, data=list(allowed=c("number", "string"))) output <- gvisChart(type=my.type, checked.data=data, options=my.options, chartid=chartid, package="corechart") } googleVis/R/gvisMotionChart.R0000644000176200001440000003115712737123564015675 0ustar liggesusers### File R/gvisMotionChart.R ### Part of the R package googleVis ### Copyright 2010 - 2014 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Motion Chart with R #' \Sexpr{googleChartName <- "motionchart"} #' \Sexpr{gvisChartName <- "gvisMotionChart"} #' #' @description #' The gvisMotionChart function reads a data.frame and #' creates text output referring to the Google Visualisation API, #' which can be included into a web page, or as a stand-alone page. #' The actual chart is rendered by the web browser in Flash. #' A motion chart is a dynamic chart to explore several indicators over #' time. #' #' @param data a \code{data.frame}. The data has to have at least four #' columns with subject name (\code{idvar}), time (\code{timevar}) and #' two columns of numeric values. Further columns, numeric and #' character/factor are optional. The combination of \code{idvar} and #' \code{timevar} has to describe a unique row. The column names of the #' \code{idvar} and \code{timevar} have to be specified. Further #' columns, if not specified by the other arguments (\code{xvar, yvar, #' colorvar, sizevar}), will be assumed to be in the order of the #' arguments. #' @param idvar column name of \code{data} with the subject to be #' analysed. #' @param timevar column name of \code{data} which shows the time #' dimension. The information has to be either numeric, of class #' \code{\link{Date}} or a character which follows the pattern #' 'YYYYWww' (e.g. '2010W04' for weekly data) or 'YYYYQq' #' (e.g. '2010Q1' for quarterly data). #' @param xvar column name of a numerical vector in \code{data} to be #' plotted on the x-axis. #' @param yvar column name of a numerical vector in \code{data} to be #' plotted on the y-axis. #' @param colorvar column name of data that identifies bubbles in the #' same series. Use the same value to identify all bubbles that belong #' to the same series; bubbles in the same series will be assigned the #' same color. Series can be configured using the \code{series} option. #' @param sizevar values in this column are mapped to actual pixel #' values using the \code{sizeAxis} option. #' @param date.format if \code{timevar} is of class \code{\link{Date}} #' then this argument specifies how the dates are reformatted to be #' used by JavaScript. #' @param options list of configuration options for Google Motion Chart. #' The options are documented in detail by Google online: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' Diego de Castillo \email{decastillo@@gmail.com} #' #' #' @section Warnings: #' Because of Flash security settings the chart #' might not work correctly when accessed from a file location in the #' browser (e.g., file:///c:/webhost/myhost/myviz.html) rather than #' from a web server URL (e.g. http://www.myhost.com/myviz.html). #' See the googleVis package vignette and the Macromedia web #' site (\url{http://www.macromedia.com/support/documentation/en/flashplayer/help/}) #' for more details. #' #' @section Note: #' Please note that a \code{timevar} with values less than 100 will #' be shown as years 19xx. #' #' @seealso #' See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} #' for printing and plotting methods. #' #' @export #' #' @keywords iplot #' #' @examples #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires Flash and Internet #' ## connection to display the visualisation. #' M1 <- gvisMotionChart(Fruits, idvar="Fruit", timevar="Year") #' plot(M1) #' #' \dontrun{ #' ## Usage of date variable #' M2 <- gvisMotionChart(Fruits, idvar="Fruit", timevar="Date", #' date.format = "\%Y\%m\%d") #' plot(M2) #' #' ## Display weekly data: #' M3 <- gvisMotionChart(Fruits, "Fruit", "Date", date.format="\%YW\%W") #' plot(M3) #' } #' ## Options: no side panel on the right #' M4 <- gvisMotionChart(Fruits,"Fruit", "Year", #' options=list(showSidePanel=FALSE)) #' plot(M4) #' #' ## Options: trails un-ticked #' M5 <- gvisMotionChart(Fruits, "Fruit", "Year", #' options=list(state='{"showTrails":false};')) #' #' plot(M5) #' #' ## You can change some of displaying settings via the browser, #' ## e.g. the level of opacity of non-selected items, or the chart type. #' ## The state string from the 'Advanced' tab can be used to set those #' ## settings via R. Just copy and past the string from the browser into #' ## the argument state of the options list. #' ## Here is an example of a motion chart, with an initial line chart #' ## displayed. Ensure that you have a newline at the start and end of #' ## your settings string. #' #' myStateSettings <-' #' {"xZoomedDataMin":1199145600000,"colorOption":"2", #' "duration":{"timeUnit":"Y","multiplier":1},"yLambda":1, #' "yAxisOption":"4","sizeOption":"_UNISIZE", #' "iconKeySettings":[],"xLambda":1,"nonSelectedAlpha":0, #' "xZoomedDataMax":1262304000000,"iconType":"LINE", #' "dimensions":{"iconDimensions":["dim0"]}, #' "showTrails":false,"uniColorForNonSelected":false, #' "xAxisOption":"_TIME","orderedByX":false,"playDuration":15000, #' "xZoomedIn":false,"time":"2010","yZoomedDataMin":0, #' "yZoomedIn":false,"orderedByY":false,"yZoomedDataMax":100} #' ' #' M6a <- gvisMotionChart(Fruits, "Fruit", "Year", #' options=list(state=myStateSettings)) #' plot(M6a) #' #' ## Newline set explicitly #' myStateSettings <-'\n{"iconType":"LINE"}\n' #' M6b <- gvisMotionChart(Fruits, "Fruit", "Year", #' options=list(state=myStateSettings)) #' plot(M6b) #' #' #' ## Define which columns are used for the initial setup of the various #' ## dimensions #' M7 <- gvisMotionChart(Fruits, idvar="Fruit", timevar="Year", #' xvar="Profit", yvar="Expenses", #' colorvar="Location", sizevar="Sales") #' plot(M7) #' ## For more information see: #' ## https://developers.google.com/chart/interactive/docs/gallery/motionchart #' #' ## See also the demo(WorldBank). It demonstrates how you can access #' ## country level data from the World Bank to create Gapminder-like #' ## plots. #' gvisMotionChart <- function(data, idvar="id", timevar="time", xvar="", yvar="", colorvar="", sizevar="", date.format="%Y/%m/%d", options=list(), chartid){ my.type <- "MotionChart" dataName <- deparse(substitute(data)) vars <- c(idvar, timevar)#, xvar, yvar)#, colorvar, sizevar) vars.pos <- na.omit(match(vars, names(data))) nm <- c(names(data)[vars.pos], names(data)[-vars.pos]) data <- cbind(data[, vars.pos], data[,-vars.pos]) names(data) <- nm if(xvar != ""){ x.col <- match(xvar, names(data) ) - 1 xvar <- paste0("\"xAxisOption\":\"",x.col,"\",") } if(yvar != ""){ y.col <- match(yvar, names(data) ) - 1 yvar <- paste0("\"yAxisOption\":\"",y.col,"\",") } if(colorvar != ""){ colour.col <- match(colorvar, names(data) ) - 1 colorvar <- paste0("\"colorOption\":\"",colour.col,"\",") } if(sizevar != ""){ size.col <- match(sizevar, names(data) ) - 1 sizevar <- paste0("\"sizeOption\":\"",size.col,"\",") } myState <- "" if(!all(c(xvar, yvar, colorvar, sizevar) %in% "")){ myState <- paste0("\n{", xvar, yvar, colorvar, sizevar, "\"dimensions\":{\"iconDimensions\":[\"dim0\"]}}\n") } ## Combine options for other generic functions my.options <- list(gvis=modifyList(list(width = 600, height=500, state=myState), options), dataName=dataName, data=list(idvar=idvar, timevar=timevar, date.format=date.format, allowed=c("number", "string", "date")) ) checked.data <- gvisCheckMotionChartData(data, my.options) output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid) return(output) } gvisCheckMotionChartData <- function(data, options){ ## Motion Charts require in the first column the idvar and time var in the second column ## The combination of idvar and timevar has to be unique ## Google Motion Chart needs a 'string' in the id variable (first column) ## A number or date in the time variable (second column) ## Everything else has to be a number or string ## Convert data.frame to list x <- as.list(data) varNames <- names(x) ## typeMotionChart will hold the Google DataTable formats of our data typeMotionChart <- as.list(rep(NA, length(varNames))) names(typeMotionChart) <- varNames ## Check if idvar and timevar match columns in the data idvar.timevar.pos <- match(c(options$data$idvar, options$data$timevar), varNames) if(sum(!is.na(idvar.timevar.pos)) < 2){ stop("There is a missmatch between the idvar and timevar specified and the colnames of your data.") } typeMotionChart[[options$data$timevar]] <- testTimevar(x[[options$data$timevar]], options$data$date.format) if(typeMotionChart[[options$data$timevar]] == "string" & (options$data$date.format %in% c("%YW%W","%YW%U"))){ ## only true for weekly data x[[options$data$timevar]] <- format.Date(x[[options$data$timevar]], options$data$date.format) } ## idvar has to be a character, so lets try to convert it into a character if( ! is.character(x[[options$data$idvar]]) ){ x[[options$data$idvar]] <- as.character(x[[options$data$idvar]]) } typeMotionChart[[options$data$idvar]] <- "string" varOthers <- varNames[ -idvar.timevar.pos ] varOrder <- c(options$data$idvar, options$data$timevar, varOthers) x <- x[varOrder] typeMotionChart[varOthers] <- sapply(varOthers, function(.x) ifelse(is.numeric(x[[.x]]), "number","string")) typeMotionChart <- typeMotionChart[varOrder] x[varOthers] <- lapply(varOthers,function(.x){ if(class(x[[.x]])=="Date") as.character(x[[.x]]) else x[[.x]] }) ## check uniqueness of rows if( nrow(data) != nrow(unique(as.data.frame(x)[1:2])) ){ stop("The data must have rows with ", "unique combinations of idvar and timevar.\n", "Your data has ", nrow(data), " rows, but idvar and timevar only define ", nrow(unique(as.data.frame(x)[1:2])), " unique rows.") } X <- data.frame(x) names(X) <- varNames return(X) } testTimevar <- function(x, date.format){ ## Check if timevar is either a numeric or date if( is.numeric(x) ) return("number") if(class(x)=="Date"& date.format %in% c("%YW%W","%YW%U")) return("string") ##Quarters. Accept in ISO format as a character if(class(x)=="character" & all(grepl("[0-9]{4}Q[1-4]" ,x) == TRUE)) return("string") ##Weeks. Accept in ISO format as a character if(class(x)=="character" & all(grepl("[0-9]{4}W[0-4][0-9]|5[0-3]" , x) == TRUE)) return("string") if(class(x)=="Date") return("date") stop(paste("The timevar has to be of numeric or Date format. Currently it is ", class(x))) } googleVis/R/shiny.R0000644000176200001440000000535412737123564013707 0ustar liggesusers### File R/shiny.R ### Part of the R package googleVis ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' renderGvis #' #' Use a googleVis Chart as Shiny Output #' #' @description #' This function lets you use googleVis charts as Shiny output. #' Use it to wrap a googleVis-generating function that you assign to an #' \code{output} element in \code{server.R}; then create an \code{htmlOutput} #' with the same name in \code{ui.R}. #' #' @param expr An expression that returns a gvis object. #' @param env The environment in which to evaluate \code{expr} #' @param quoted Is \code{expr} a quoted expression (with \code{quote()})? #' This is useful if you want to save an expression in a variable. #' #' @section Details: #' More information about shiny is available online: #' \url{http://www.rstudio.com/shiny/}. #' You find further examples with googleVis on shiny on mages' blog: #' \url{http://lamages.blogspot.co.uk/search/label/shiny} #' #' @return Returns a function that can be assigned to a Shiny \code{output} #' element. #' #' @author Joe Cheng, \email{joe@@rstudio.com} #' #' @keywords shiny #' #' @export #' #' @examples #' \dontrun{ #' # To run this example: #' shiny::runApp(system.file("shiny/", package="googleVis")) #' # server.R #' library(googleVis) #' #' shinyServer(function(input, output) { #' datasetInput <- reactive({ #' switch(input$dataset, #' "rock" = rock, #' "pressure" = pressure, #' "cars" = cars) #' }) #' #' output$view <- renderGvis({ #' gvisScatterChart(datasetInput(), #' options=list(title=paste('Data:',input$dataset))) #' }) #' }) #' #' # ui.R #' shinyUI(pageWithSidebar( #' headerPanel("googleVis on Shiny"), #' sidebarPanel( #' selectInput("dataset", "Choose a dataset:", #' choices = c("rock", "pressure", "cars")) #' ), #' mainPanel( #' htmlOutput("view") #' ) #' )) #' } #' #' renderGvis <- function(expr, env=parent.frame(), quoted=FALSE) { # Convert expr to a function func <- shiny::exprToFunction(expr, env, quoted) function() { chart <- func() paste(chart$html$chart, collapse="\n") } } googleVis/R/gvisCoreCharts.R0000644000176200001440000007675012737123564015513 0ustar liggesusers### File R/gvisCoreCharts.R ### Part of the R package googleVis ### Copyright 2011 - 2014 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Line Chart with R #' \Sexpr{googleChartName <- "linechart"} #' \Sexpr{gvisChartName <- "gvisLineChart"} #' #' The gvisLineChart function reads a data.frame and creates text output #' referring to the Google Visualisation API, which can be included into a web #' page, or as a stand-alone page. The actual chart is rendered by the web #' browser using SVG or VML. #' #' #' @param data a \code{\link{data.frame}} to be displayed as a line chart #' @param xvar name of the character column which contains the category labels #' for the x-axes. #' @param yvar a vector of column names of the numerical variables to be #' plotted. Each column is displayed as a separate line. #' @param options list of configuration options, see #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for #' printing and plotting methods #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires an internet #' ## connection to display the visualisation. #' #' df <- data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val2=c(23,12,32)) #' #' ## Line chart #' Line1 <- gvisLineChart(df, xvar="country", yvar=c("val1", "val2")) #' plot(Line1) #' #' #' ## Add a customised title and smoothed curve #' Line2 <- gvisLineChart(df, xvar="country", yvar=c("val1", "val2"), #' options=list(title="Hello World", #' titleTextStyle="{color:'red',fontName:'Courier',fontSize:16}", #' curveType='function')) #' plot(Line2) #' #' \dontrun{ #' ## Change y-axis to percentages #' Line3 <- gvisLineChart(df, xvar="country", yvar=c("val1", "val2"), #' options=list(vAxis="{format:'#,###%'}")) #' plot(Line3) #' #' } #' #' ## Create a chart with two y-axis: #' Line4 <- gvisLineChart(df, "country", c("val1","val2"), #' options=list(series="[{targetAxisIndex: 0}, #' {targetAxisIndex:1}]", #' vAxes="[{title:'val1'}, {title:'val2'}]" #' )) #' plot(Line4) #' #' ## Line chart with edit button #' Line5 <- gvisLineChart(df, xvar="country", yvar=c("val1", "val2"), #' options=list(gvis.editor="Edit me!")) #' plot(Line5) #' #' ## Customizing lines #' Dashed <- gvisLineChart(df, xvar="country", yvar=c("val1","val2"), #' options=list( #' series="[{color:'green', targetAxisIndex: 0, #' lineWidth: 1, lineDashStyle: [2, 2, 20, 2, 20, 2]}, #' {color: 'blue',targetAxisIndex: 1, #' lineWidth: 2, lineDashStyle: [4, 1]}]", #' vAxes="[{title:'val1'}, {title:'val2'}]" #' )) #' plot(Dashed) #' gvisLineChart <- function(data, xvar="", yvar="", options=list(), chartid){##, editor ## if(!missing(editor)){ ## options=list(options, gvis.editor=editor) ## } gvisCoreChart(data, xvar, yvar, options, chartid, chart.type="LineChart") } #' Google Area Chart with R #' \Sexpr{googleChartName <- "areachart"} #' \Sexpr{gvisChartName <- "gvisAreaChart"} #' #' The gvisAreaChart function reads a data.frame and creates text output #' referring to the Google Visualisation API, which can be included into a web #' page, or as a stand-alone page. #' #' The area chart is rendered within the browser using SVG or VML and displays #' tips when hovering over points. #' #' #' @param data a \code{\link{data.frame}} to be displayed as an area chart #' @param xvar name of the character column which contains the category labels #' for the x-axes. #' @param yvar a vector of column names of the numerical variables to be #' plotted. Each column is displayed as a separate line. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for #' printing and plotting methods #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires an internet #' ## connection to display the visualisation. #' #' df=data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val2=c(23,12,32)) #' #' ## Area chart #' Area1 <- gvisAreaChart(df, xvar="country", yvar=c("val1", "val2")) #' plot(Area1) #' #' ## Stacked chart #' Area2 <- gvisAreaChart(df, xvar="country", yvar=c("val1", "val2"), #' options=list(isStacked=TRUE)) #' plot(Area2) #' #' #' ## Add a customised title #' Area3 <- gvisAreaChart(df, xvar="country", yvar=c("val1", "val2"), #' options=list(title="Hello World", #' titleTextStyle="{color:'red',fontName:'Courier',fontSize:16}")) #' plot(Area3) #' #' \dontrun{ #' ## Change y-axis to percentages #' Area3 <- gvisAreaChart(df, xvar="country", yvar=c("val1", "val2"), #' options=list(vAxis="{format:'#,###%'}")) #' plot(Area3) #' } #' gvisAreaChart <- function(data, xvar="", yvar="", options=list(), chartid){ gvisCoreChart(data, xvar, yvar, options, chartid, chart.type="AreaChart") } #' Google Stepped Area Chart with R #' \Sexpr{googleChartName <- "steppedarechart"} #' \Sexpr{gvisChartName <- "gvisSteppedAreChart"} #' #' The gvisSteppedAreaChart function reads a data.frame and creates text output #' referring to the Google Visualisation API, which can be included into a web #' page, or as a stand-alone page. #' #' The stepped area chart is rendered within the browser using SVG or VML and #' displays tips when hovering over points. #' #' #' @param data a \code{\link{data.frame}} to be displayed as a stepped area #' chart. #' @param xvar name of the character column which contains the category labels #' for the x-axes. #' @param yvar a vector of column names of the numerical variables to be #' plotted. Each column is displayed as a separate line. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for #' printing and plotting methods #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires an internet #' ## connection to display the visualisation. #' #' df=data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val2=c(23,12,32)) #' #' ## Stepped Area chart #' SteppedArea1 <- gvisSteppedAreaChart(df, xvar="country", yvar=c("val1", "val2")) #' plot(SteppedArea1) #' #' ## Stacked chart #' SteppedArea2 <- gvisSteppedAreaChart(df, xvar="country", yvar=c("val1", "val2"), #' options=list(isStacked=TRUE)) #' plot(SteppedArea2) #' #' #' ## Add a customised title #' SteppedArea3 <- gvisSteppedAreaChart(df, xvar="country", yvar=c("val1", "val2"), #' options=list(title="Hello World", #' titleTextStyle="{color:'red',fontName:'Courier',fontSize:16}")) #' plot(SteppedArea3) #' #' \dontrun{ #' ## Change y-axis to percentages #' SteppedArea3 <- gvisSteppedAreaChart(df, xvar="country", yvar=c("val1", "val2"), #' options=list(vAxis="{format:'#,###%'}")) #' plot(SteppedArea3) #' } #' gvisSteppedAreaChart <- function(data, xvar="", yvar="", options=list(), chartid){ gvisCoreChart(data, xvar, yvar, options, chartid, chart.type="SteppedAreaChart") } #' Google Bar Chart with R #' \Sexpr{googleChartName <- "barchart"} #' \Sexpr{gvisChartName <- "gvisBarChart"} #' #' The gvisBarChart function reads a data.frame and creates text output #' referring to the Google Visualisation API, which can be included into a web #' page, or as a stand-alone page. The actual chart is rendered by the web #' browser using SVG or VML. #' #' #' @param data a \code{\link{data.frame}} to be displayed as a bar chart #' @param xvar name of the character column which contains the category labels #' for the x-axes. #' @param yvar a vector of column names of the numerical variables to be #' plotted. Each column is displayed as a separate bar/column. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for #' printing and plotting methods #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires an internet #' ## connection to display the visualisation. #' #' df <- data.frame(country=c("US", "GB", "BR"), #' val1=c(1,3,4), #' val2=c(23,12,32)) #' #' ## Bar chart #' Bar1 <- gvisBarChart(df, xvar="country", yvar=c("val1", "val2")) #' plot(Bar1) #' #' ## Stacked bar chart #' Bar2 <- gvisBarChart(df, xvar="country", yvar=c("val1", "val2"), #' options=list(isStacked=TRUE)) #' plot(Bar2) #' #' #' ## Add a customised title and change width of bars #' Bar3 <- gvisBarChart(df, xvar="country", yvar=c("val1", "val2"), #' options=list(title="Hello World", #' titleTextStyle="{color:'red',fontName:'Courier',fontSize:16}", #' bar="{groupWidth:'100%'}")) #' plot(Bar3) #' #' \dontrun{ #' ## Change x-axis to percentages #' Bar4 <- gvisBarChart(df, xvar="country", yvar=c("val1", "val2"), #' options=list(hAxis="{format:'#,###%'}")) #' plot(Bar4) #' #' ## The following example reads data from a Wikipedia table and displays #' ## the information in a bar chart. #' ## We use the readHMLTable function of the XML package to get the data #' library(XML) #' ## Get the data of the biggest ISO container companies from Wikipedia #' ##(table 3): #' df=readHTMLTable(readLines("http://en.wikipedia.org/wiki/Intermodal_freight_transport"))[[3]][,1:2] #' ## Rename the second column #' names(df)[2]="TEU capacity" #' ## The numbers are displayed with commas to separate thousands, so let's #' ## get rid of them: #' df[,2]=as.numeric(gsub(",", "", as.character(df[,2]))) #' #' ## Finally we can create a nice bar chart: #' Bar5 <- gvisBarChart(df, options=list( #' chartArea="{left:250,top:50,width:\"50%\",height:\"75%\"}", #' legend="bottom", #' title="Top 20 container shipping companies in order of TEU capacity")) #' #' plot(Bar5) #' #' } #' gvisBarChart <- function(data, xvar="", yvar="", options=list(), chartid){ gvisCoreChart(data, xvar, yvar, options, chartid, chart.type="BarChart") } #' Google Column Chart with R #' \Sexpr{googleChartName <- "columnchart"} #' \Sexpr{gvisChartName <- "gvisColumnChart"} #' #' The gvisColumnChart function reads a data.frame and creates text output #' referring to the Google Visualisation API, which can be included into a web #' page, or as a stand-alone page. The actual chart is rendered by the web #' browser using SVG or VML. #' #' #' @param data a \code{\link{data.frame}} to be displayed as a column chart #' @param xvar name of the character column which contains the category labels #' for the x-axes. #' @param yvar a vector of column names of the numerical variables to be #' plotted. Each column is displayed as a separate bar/column. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for #' printing and plotting methods #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires an internet #' ## connection to display the visualisation. #' #' df=data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val2=c(23,12,32)) #' #' ## Column chart #' Col1 <- gvisColumnChart(df, xvar="country", yvar=c("val1", "val2")) #' plot(Col1) #' #' ## Stacked column chart #' Col2 <- gvisColumnChart(df, xvar="country", yvar=c("val1", "val2"), #' options=list(isStacked=TRUE)) #' plot(Col2) #' #' #' ## Add a customised title and and change width of columns #' Col3 <- gvisColumnChart(df, xvar="country", yvar=c("val1", "val2"), #' options=list(title="Hello World", #' titleTextStyle="{color:'red',fontName:'Courier',fontSize:16}", #' bar="{groupWidth:'100%'}")) #' plot(Col3) #' #' \dontrun{ #' ## Change y-axis to percentages #' Col4 <- gvisColumnChart(df, xvar="country", yvar=c("val1", "val2"), #' options=list(vAxis="{format:'#,###%'}")) #' plot(Col4) #' } #' #' gvisColumnChart <- function(data, xvar="", yvar="", options=list(), chartid){ gvisCoreChart(data, xvar, yvar, options, chartid, chart.type="ColumnChart") } #' Google Combo Chart with R #' \Sexpr{googleChartName <- "combochart"} #' \Sexpr{gvisChartName <- "gvisComboChart"} #' #' A chart that lets you render each series as a different marker type from the #' following list: columns, lines, and area lines. #' #' The gvisComboChart function reads a data.frame and creates text output #' referring to the Google Visualisation API, which can be included into a web #' page, or as a stand-alone page. The actual chart is rendered by the web #' browser using SVG or VML. #' #' #' @param data a \code{\link{data.frame}} to be displayed as a columns, line #' and area chart. #' @param xvar name of the character column which contains the category labels #' for the x-axes. #' @param yvar a vector of column names of the numerical variables to be #' plotted. Each column is displayed as a separate column, line or area #' series. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for #' printing and plotting methods #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires an internet #' ## connection to display the visualisation. #' #' CityPopularity #' ## Add the mean #' CityPopularity$Mean=mean(CityPopularity$Popularity) #' #' C1 <- gvisComboChart(CityPopularity, xvar="City", #' yvar=c("Mean", "Popularity"), #' options=list(seriesType="bars", #' title="City Popularity", #' series='{0: {type:"line"}}')) #' plot(C1) #' #' ## Changing the width of columsn #' C2 <- gvisComboChart(CityPopularity, xvar="City", #' yvar=c("Mean", "Popularity"), #' options=list(seriesType="bars", #' bar="{groupWidth:'100%'}", #' title="City Popularity", #' series='{0: {type:"line"}}')) #' plot(C2) #' #' gvisComboChart <- function(data, xvar="", yvar="", options=list(), chartid){ gvisCoreChart(data, xvar, yvar, options, chartid, chart.type="ComboChart") } #' Google Candlestick chart with R #' \Sexpr{googleChartName <- "candlestickchart"} #' \Sexpr{gvisChartName <- "gvisCandlestickChart"} #' #' An interactive candlestick chart. #' #' The gvisCandlestickChart function reads a data.frame and creates text output #' referring to the Google Visualisation API, which can be included into a web #' page, or as a stand-alone page. The actual chart is rendered by the web #' browser using SVG or VML. #' #' A candlestick chart is used to show an opening and closing value overlaid on #' top of a total variance. Candlestick charts are often used to show stock #' value behavior. In this chart, items where the opening value is less than #' the closing value (a gain) are drawn as filled boxes, and items where the #' opening value is more than the closing value (a loss) are drawn as hollow #' boxes. #' #' @param data a \code{\link{data.frame}} to be displayed as a candlestick #' chart. The data has to have at least 5 columns. #' @param xvar name of the character column which contains the category labels #' for the x-axes. #' @param low name of the numeric column specifying the low/minimum value of #' this marker. This is the base of the candle's center line. #' @param open name of the numeric column specifying the opening/initial value #' of this marker. This is one vertical border of the candle. If less than the #' \code{close} value, the candle will be filled; otherwise it will be hollow. #' @param close name of the numeric column specifying the closing/final value #' of this marker. This is the second vertical border of the candle. If less #' than the \code{open} value, the candle will be hollow; otherwise it will be #' filled. #' @param high name of the numeric column specifying the high/maximum value of #' this marker. This is the top of the candle's center line. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for #' printing and plotting methods #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires an internet #' ## connection to display the visualisation. #' #' ## Example data set #' OpenClose #' #' C1 <- gvisCandlestickChart(OpenClose, xvar="Weekday", low="Low", #' open="Open", close="Close", #' high="High", #' options=list(legend='none')) #' #' plot(C1) #' #' gvisCandlestickChart<- function(data, xvar="", low="", open="", close="", high="", options=list(), chartid){ data <- gvisCheckCandestickChartData(data) gvisCoreChart(data, xvar, yvar=c(low, open, close, high), options, chartid, chart.type="CandlestickChart") } #' Google Scatter Chart with R #' \Sexpr{googleChartName <- "scatterchart"} #' \Sexpr{gvisChartName <- "gvisScatterChart"} #' #' The gvisScatterChart function reads a data.frame and creates text output #' referring to the Google Visualisation API, which can be included into a web #' page, or as a stand-alone page. The actual chart is rendered by the web #' browser using SVG or VML. #' #' #' @param data a \code{\link{data.frame}} to be displayed as a scatter chart. #' Two or more columns are required, all must be numeric. The values in the #' first column are used for the X-axis. The values in following columns are #' used for the Y-axis. Each column is displayed with a separate color. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for #' printing and plotting methods #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires an internet #' ## connection to display the visualisation. #' #' #' ## Scatter chart #' Scatter1 <- gvisScatterChart(women) #' plot(Scatter1) #' #' ## Using optional arguments #' Scatter2 <- gvisScatterChart(women, options=list(legend="none", #' lineWidth=2, pointSize=2, #' title="Women", vAxis="{title:'weight (lbs)'}", #' crosshair="{ trigger: 'both' }", #' hAxis="{title:'height (in)'}", width=500, height=400)) #' #' plot(Scatter2) #' #' #' df=data.frame(x=sin(1:100/3), #' Circle=cos(1:100/3), #' Ellipse=cos(1:100/3)*0.5) #' #' ## Plot several variables as smooth curves #' Scatter3 <- gvisScatterChart(df, #' options=list(curveType='function', #' pointSize=0, #' lineWidth=2)) #' plot(Scatter3) #' #' ## Two series in the same plot with different #' ## x-values #' df <- data.frame(x=c(2,2,1,3,4), #' y1=c(0,3,NA,NA,NA), #' y2=c(NA,NA,0,3,2)) #' Scatter4 <- gvisScatterChart(df, #' options=list(lineWidth=2, #' pointSize=2)) #' plot(Scatter4) #' #' ## Customize points #' M <- matrix(nrow=6,ncol=6) #' M[col(M)==row(M)] <- 1:6 #' dat <- data.frame(X=1:6, M) #' SC <- gvisScatterChart(dat, #' options=list( #' title="Customizing points", #' legend="right", #' pointSize=30, #' series="{ #' 0: { pointShape: 'circle' }, #' 1: { pointShape: 'triangle' }, #' 2: { pointShape: 'square' }, #' 3: { pointShape: 'diamond' }, #' 4: { pointShape: 'star' }, #' 5: { pointShape: 'polygon' } #' }")) #' plot(SC) #' gvisScatterChart <- function(data, options=list(), chartid){ my.type <- "ScatterChart" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(allowHtml=TRUE),options), dataName=dataName, data=list(allowed=c("number"))) checked.data <- gvisCheckScatterChartData(data) output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid=chartid, package="corechart") return(output) } gvisCheckCandestickChartData <- function(data){ if(ncol(data) < 5) stop(paste("The input data requires 5 columns, for xvar, low, open, close, high.\n", "However, your data set has only:", ncol(data))) return(data) } gvisCheckScatterChartData <- function(data){ ## nothing to check at the moment here return(data) } gvisCoreChart <- function(data, xvar="", yvar="", options=list(), chartid, chart.type){ if(!is.data.frame(data)){ stop("Error: data has to be a data.frame.") } dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(allowHtml=TRUE),options), dataName=dataName, data=list(xvar=xvar, yvar=yvar, allowed=c("string", "number", "date", "datetime"#, "boolean" )) ) checked.data <- gvisCheckCoreChartData(data, xvar=xvar, yvar=yvar) output <- gvisChart(type=chart.type, checked.data=checked.data, options=my.options, chartid=chartid, package="corechart") return(output) } gvisCheckCoreChartData <- function(data, xvar, yvar){ if(!is.data.frame(data)){ stop("Error: data has to be a data.frame.") } if(xvar=="") xvar <- names(data)[1] if(ncol(data)>1){ rest <- names(data)[!names(data) %in% xvar] data <- data[,c(xvar, rest)] } if("integer" %in% class(data[,xvar])) data[,xvar] <- as.character(data[,xvar]) if("" %in% yvar){ if(ncol(data) > 2){ yvar <- sapply(data[,-1], is.numeric) yvar <- names(yvar[yvar]) }else{ yvar=names(data)[2] } } data <- data[,c(xvar, yvar)] names(data) <- c(xvar, yvar) if(!any(sapply(data, is.numeric))){ stop("Error: Your data has to have at least one numerical column.") } return(data) } googleVis/R/gadget.R0000644000176200001440000000053412737123564014003 0ustar liggesuserscreateGoogleGadget <- function(gvis){ if(!"gvis" %in% class(gvis)){ stop("A gvis object is as input required.") } sprintf(' ', gvis$chartid, paste(gvis$html$chart, collapse="\n") ) } googleVis/R/gvisChartEditor.R0000644000176200001440000000240512737123564015650 0ustar liggesusers### File R/gvisChartEditor.R ### Part of the R package googleVis ### Copyright 2010, 2011, 2012, 2013 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA gvisChartEditor <- function(data, type="Table",options=list(),...){ ## myCall <- paste("gvis", type, "options=modifyList(list(gvis.editor='Editor'),options),...)", sep="") ## eval(parse(text=mvCall) if (type=="Table"){ gvis.object <- gvisTable(data, options=modifyList(list(gvis.editor="Editor"),options),...) } if (type=="LineChart"){ gvis.object <- gvisLineChart(data, options=modifyList(list(gvis.editor="Editor"),options),...) } gvis.object } googleVis/R/gvisBubbleChart.R0000644000176200001440000001362012737123564015616 0ustar liggesusers### Part of the R package googleVis ### Copyright 2011 - 2014 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Bubble Chart with R #' \Sexpr{googleChartName <- "bubblechart"} #' \Sexpr{gvisChartName <- "gvisBubbleChart"} #' #' #' The gvisBubbleChart function reads a data.frame and creates text output #' referring to the Google Visualisation API, which can be included into a web #' page, or as a stand-alone page. #' #' A bubble chart is used to visualize a data set with 2 to 4 dimensions. The #' first two dimensions are visualized as coordinates, the 3rd as color and the #' 4th as size. #' #' The bubble chart is rendered within the browser using SVG or VML and #' displays tips when hovering over points. #' #' #' @param data a \code{\link{data.frame}} to be displayed as a bubble chart. #' The data has to have at least three columns for \code{idvar, xvar}, and #' \code{yvar}. #' @param idvar column name of \code{data} with the bubble #' @param xvar column name of a numerical vector in \code{data} to be plotted #' on the x-axis. #' @param yvar column name of a numerical vector in \code{data} to be plotted #' on the y-axis. #' @param colorvar column name of data that identifies bubbles in the same #' series. Use the same value to identify all bubbles that belong to the same #' series; bubbles in the same series will be assigned the same color. Series #' can be configured using the \code{series} option. #' @param sizevar values in this column are mapped to actual pixel values using #' the \code{sizeAxis} option. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}}. #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso See also \code{\link{gvisMotionChart}} for a moving bubble chart #' over time, and \code{\link{print.gvis}}, \code{\link{plot.gvis}} for #' printing and plotting methods. #' @keywords iplot #' @examples #' #' #' bubble1 <- gvisBubbleChart(Fruits, idvar="Fruit", xvar="Sales", yvar="Expenses") #' plot(bubble1) #' #' ## Set color and size #' bubble2 <- gvisBubbleChart(Fruits, idvar="Fruit", xvar="Sales", yvar="Expenses", #' colorvar="Location", sizevar="Profit", #' options=list(hAxis='{minValue:75, maxValue:125}')) #' #' plot(bubble2) #' #' ## Use year to color the bubbles #' bubble3 <- gvisBubbleChart(Fruits, idvar="Fruit", xvar="Sales", yvar="Expenses", #' colorvar="Year", sizevar="Profit", #' options=list(hAxis='{minValue:75, maxValue:125}')) #' plot(bubble3) #' #' ## Gradient colour example #' bubble4 <- gvisBubbleChart(Fruits, idvar="Fruit", xvar="Sales", yvar="Expenses", #' sizevar="Profit", #' options=list(hAxis='{minValue:75, maxValue:125}', #' colorAxis="{colors: ['lightblue', 'blue']}")) #' plot(bubble4) #' #' \dontrun{ #' ## Moving bubble chart over time, aka motion chart #' #' M <- gvisMotionChart(Fruits, Fruit, Year) #' plot(M) #' } #' #' #' #' gvisBubbleChart <- function(data, idvar="", xvar="", yvar="", colorvar="", sizevar="", options=list(), chartid){ my.type <- "BubbleChart" dataName <- deparse(substitute(data)) my.options <- list(gvis=options, dataName=dataName, data=list(idvar=idvar, xvar=xvar, yvar=yvar, colorvar=colorvar, sizevar=sizevar, allowed=c("number", "string") ) ) checked.data <- gvisCheckBubbleChartData(data, my.options) output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid=chartid, package="corechart") return(output) } gvisCheckBubbleChartData <- function(data, options){ varNames <- names(data) data.structure <- list( idvar = list(mode="required", FUN=check.char), xvar = list(mode="required", FUN=check.num), yvar = list(mode="required", FUN=check.num), colorvar = list(mode="optional", FUN=check.char), sizevar = list(mode="optional", FUN=check.num)) x <- gvisCheckData(data=data,options=options,data.structure=data.structure) x <- data.frame(x) return(x) } googleVis/R/gvis.R0000644000176200001440000005255512761450064013525 0ustar liggesusers### File R/gvis.R ### Part of the R package googleVis ### Copyright 2010 - 2014 Markus Gesmann, Diego de Castillo ### Distributed under GPL 2 or later ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA gvisChart <- function(type, checked.data, options, chartid, package, formats = NULL){ Chart = gvis(type=type, checked.data, options=options, chartid=chartid, package, formats=formats) chartid <- Chart$chartid htmlChart <- Chart$chart htmlScaffold <- gvisHtmlWrapper(title="", chartid=chartid, dataName=options$dataName, type=tolower(type)) output <- structure( list(type=Chart$type, chartid=Chart$chartid, html=list(header=htmlScaffold[["htmlHeader"]], chart=unlist(htmlChart), caption=htmlScaffold[["htmlCaption"]], footer=htmlScaffold[["htmlFooter"]])), class=c("gvis", "list") ) return(output) } gvis <- function(type="", data, options, chartid, package, formats=NULL){ if( ! is.data.frame(data) ){ stop("Data has to be a data.frame. See ?data.frame for more details.") } ## we need a unique chart id to have more than one chart on the same page ## we use type and date to create the chart id if(missing(chartid)){ ## chartid <- paste(type, format(Sys.time(), "%Y-%m-%d-%H-%M-%S"), basename(tempfile(pattern="")),sep="_") chartid <- paste(type, basename(tempfile(pattern="")),sep="ID") } if(missing(package)){ package <- type } output <- gvisFormat(data) data.type <- output$data.type data.json <- output$json ## check for not allowed data types checkTypes <- data.type %in% options$data$allowed | isRoleColumn(data.type) if(sum(!checkTypes)){ message <- paste("Only the following data types are allowed: ", paste(options$data$allowed, collapse=", "), "\n", "However, ", paste(names(data)[!checkTypes], collapse=", "), " is of type ", paste(data.type[!checkTypes], collapse=", "),"\n", sep="", collapse=" ") stop(message) } ## check for NumberFormat objects ## formats will be a named list of strings. Names correspond to objects in the data frame. jsFormats <- '' if (!is.null(formats)) { if (!inherits(formats,'list')) warning('formats object exists but is not a list. Ignoring') if (!all(names(formats) %in% names(data))) warning('formats object contains names that do not exist in data.') for (idx in c(1:length(formats))) { jsFormats <- paste(jsFormats , paste(' var dataFormat',idx,' = new google.visualization.NumberFormat({pattern:"',formats[idx],'"});',sep="") , paste(' dataFormat',idx,'.format(data, ', match(names(formats[idx]), names(data)) - 1,');',sep="") , sep = "\n" ) } } jsHeader <- ' ' jsChart <- ' ' jsChart <- sprintf(jsChart, chartid) divChart <- ' %s
' divChart <- sprintf(divChart, ifelse(!is.null(options$gvis$gvis.editor), sprintf("", chartid,as.character(options$gvis$gvis.editor)),''), chartid, ifelse(!(is.null(options$gvis$width) || (options$gvis$width == "")),options$gvis$width, "500"), ifelse(!(is.null(options$gvis$height) || (options$gvis$height == "")),options$gvis$height, "automatic") ) output <- list(chart=list(jsHeader=jsHeader, jsData=jsData, jsDrawChart=jsDrawChart, jsDisplayChart=jsDisplayChart, jsFooter=jsFooter, jsChart=jsChart, divChart=divChart), type=type, chartid=chartid) return(output) } ############### ## Thanks to Sebastian Kranz for this function ## Thanks also to Wei Luo: http://theweiluo.wordpress.com/2011/09/30/r-to-json-for-d3-js-and-protovis # Transforms a vector into a vector of JSON strings that # can be pasted together afterwards toJsonSONvec <- function(vec) { #restore.point("name.value") na.row <- is.na(vec) if(is(vec,'integer')){ ret <- vec } else if (is(vec,'numeric')) { # Round to 10 points after the decimal as before ret <- as.character(signif(vec,digits=10)) } else if (is(vec,'logical')) { ret <- tolower(as.character(vec)) } else if (is(vec,'Date')) { y <- format(vec,"%Y") m <- as.numeric(format(vec,"%m")) -1 d <- as.numeric(format(vec,"%d")) ret <- paste("new Date(",y,",",m,",",d,")",sep="") } else if (is(vec,'POSIXct') | is(vec,'POSIXlt')) { y <- format(vec,"%Y") m <- as.numeric(format(vec,"%m")) -1 d <- as.numeric(format(vec,"%d")) H <- as.numeric(format(vec,"%H")) M <- as.numeric(format(vec,"%M")) S <- as.numeric(format(vec,"%S")) ret <- paste("new Date(",y,",",m,",",d,",",H,",",M,",",S,")",sep="") } else { quote <- '"'; vec <- gsub('"', '\\\\"', vec) ret <- paste(quote, vec, quote, sep='') } ret[na.row] <- "null" ret } toJsonSONarray <- function(dtf){ ## Thanks to Sebastian Kranz for this function ## Thanks also to Wei Luo: http://theweiluo.wordpress.com/2011/09/30/r-to-json-for-d3-js-and-protovis #restore.point("toJsonSONarray") clnms <- colnames(dtf) # Transform columns depending on data type and store in a list objs <- lapply(dtf,toJsonSONvec) # Remove names just for the case that one column name was sep or collapse names(objs) <- NULL # Paste columns together str <- do.call(paste,c(objs,list(sep=",\n"))) # Add [ ] and paste rows together res <- paste('[\n ', paste0("[\n",str,"\n]",collapse=',\n'), ' \n]',sep="") return(res) } gvisFormat <- function(data){ #restore.point("gvisFormat") ## Create a list where the Google DataTable type of all variables will be stored ## Convert data.frame to list x <- as.list(data) varNames <- names(x) varTypes <- sapply(varNames, function(.x){ switch(class(x[[.x]])[1],"integer"="number", "numeric"="number", "character"="string", "factor"="string", "ordered"="string", "logical"="boolean", "Date"="date", "POSIXct"="datetime", "POSIXlt"="datetime") } ) ## factor to character x.df <- as.data.frame( lapply(x, function(a){ if (is.factor(a)) as.character(a) else a } ), stringsAsFactors=FALSE ) ## The function is specified above json <- toJsonSONarray(x.df) output <- list( data.type = unlist(varTypes), json = json ) output$json <-fixBackslash(output$json) return(output) } fixBackslash <- function(x){ x <- gsub("\\\\\\\\", "\\\\", x) return(x) } endsIn <- function(source, target){ substr(source, nchar(source)-nchar(target)+1, nchar(source)) %in% target } endsIn.No <- function(source, target){ ind <- grep(paste0(target, ".[0-9]"), source) c(1:length(source)) %in% ind } isRoleColumn <- function(x) { return ( (x %in% c("string") & endsIn(names(x), ".tooltip")) | (x %in% c("string") & endsIn(names(x), ".annotation")) | (x %in% c("string") & endsIn(names(x), ".style")) | (x %in% c("string") & endsIn(names(x), ".annotationText")) | (x %in% c("boolean") & endsIn(names(x), ".certainty")) | (x %in% c("boolean") & endsIn(names(x), ".emphasis")) | (x %in% c("boolean") & endsIn(names(x), ".scope")) | (x %in% c("number") & endsIn.No(names(x), ".interval")) ) } check.location <- function(x){ y = as.character(x) if (! is.character(y)) stop(paste("The column has to be of character format. Currently it is", class(x))) y } check.char <- function(x){ y = as.character(x) if (! is.character(y)) stop(paste("The column has to be of character format. Currently it is", class(x))) y } check.date <- function(x){ y = as.Date(x) if (class(y)!="Date") stop(paste("The column has to be of date format. Currently it is", class(x))) y } check.datetime <- function(x){ if(! any(class(x) %in% c("POSIXct", "POSIXlt")) ) stop(paste("The column has to be of datetime format (POSIXct or POSIXlt). Currently it is", class(x))) x } check.num <- function(x){ y = as.numeric(x) if (! is.numeric(y)) stop(paste("The column has to be of numeric format. Currently it is", class(x))) y } check.num.pos <- function(x){ y = as.numeric(x) if (! is.numeric(y)) stop(paste("The column has to be of numeric format. Currently it is", class(x))) if (any(x<0)) stop(paste("The column has to be > 0.")) y } gvisCheckData <- function(data="", options=list(), data.structure=list()){ ## Convert data.frame to list x <- as.list(data) varNames <- names(x) ## Check if required vars match columns in the data vars.req <- names(grep(TRUE, lapply(data.structure, function(x){x$mode})=="required", value=TRUE)) vars.opt <- names(grep(TRUE, lapply(data.structure, function(x){x$mode})=="optional", value=TRUE)) # required and empty? fill with varNames in order given by data.structure req.and.empty <- ((names(options$data) %in% vars.req) & (options$data=="")) options$data[req.and.empty] <- varNames[match(names(options$data[req.and.empty]), names(data.structure))] vars.pos <- match(unlist(options$data[vars.req], use.names=FALSE), varNames) if(any(is.na(vars.pos)) & (length(varNames) < length(vars.req))){ stop("There are not enough columns in your data.") } x <- x[as.character(options$data[options$data!="" & names(options$data) != "allowed" & names(options$data) != "date.format"])] sapply(names(options$data[options$data!="" & names(options$data) != "allowed" & names(options$data) != "date.format"]), function(.x){ .x <- as.character(.x) y <- x[[as.character(options$data[.x])]]; # is <<- really necessary? x[[as.character(options$data[.x])]] <<- data.structure[[.x]]$FUN(y); }) return(x) } gvisEditor <- function(chartid,type,options){ if(is.null(options$gvis$gvis.editor)) return('') jseditor <- " function openEditor%s() { var editor = new google.visualization.ChartEditor(); google.visualization.events.addListener(editor, 'ok', function() { chart%s = editor.getChartWrapper(); chart%s.draw(document.getElementById('%s')); }); editor.openDialog(chart%s); } " sprintf(jseditor,chartid,chartid,chartid,chartid,chartid) } gvisNewChart <- function(chartid,type,options){ ret <- "" if(is.null(options$gvis$gvis.editor)){ jsnewchart <- " var chart = new google.visualization.%s( document.getElementById(\'%s\') ); chart.draw(data,options); " ret <- sprintf(jsnewchart,type,chartid) } else { jsnewchart <- " chart%s = new google.visualization.ChartWrapper({ dataTable: data, chartType: '%s', containerId: '%s', options: options }); chart%s.draw(); " ret <- sprintf(jsnewchart,chartid,type,chartid,chartid) } ret } gvisListener <- function(chartid, type, options=list(gvis=list(gvis.listener.jscode = NULL))){ event <- "select" jscode <- options$gvis$gvis.listener.jscode jsListener <- "" # not all types support Listener and select event if(!is.null(jscode)){## this actually works in most & (tolower(type) %in% c("table", "geomap"))){ jsListener <- " google.visualization.events.addListener(chart, '%s',gvisListener%s); function gvisListener%s() { %s } " jsListener <- sprintf(jsListener,event,chartid,chartid,jscode) } jsListener } gvisOptions <- function(options=list(gvis=list(width = 600, height=500))){ options <- options$gvis # wipe out options with start with gvis. options[grep("^gvis.",names(options))] <- NULL #print(options) .par <- sapply(names(options), function(x){ if(! (x %in% c("width", "height") & ! is.numeric(type.convert(gsub("px","", options[[x]])))) ){ paste("options[\"", x,"\"] = ", ifelse(any(checkSquareCurlBracketOps(options[[x]])), paste(options[[x]], collapse="\n"), #paste0( toJsonSONvec(options[[x]]), collapse="\n") paste0( toJSON(unbox(options[[x]])), collapse="\n") ), ";",sep="" ) } } ) .par <- .par[!sapply(.par,is.null)] # print(.par) return((.par)) } checkSquareCurlBracketOps <- function(char){ first <- substr(char, 1,1) n <- nchar(char) last <- substr(char, n, n) ifelse(first %in% c("{","[") & last %in% c("}", "]"), TRUE, FALSE) } gvisHtmlWrapper <- function(title, dataName, chartid, type){ htmlHeader <- ' %s ' htmlHeader <- sprintf(htmlHeader,chartid) htmlFooter <- ' %s • Google Terms of Use • %s
' if(type %in% "gvisMerge"){ policy <- "Data Policy: See individual charts" }else{ policy <- sprintf('Documentation and Data Policy', type) } htmlFooter <- sprintf(htmlFooter, R.Version()$version.string, policy) htmlCaption <- sprintf('
Data: %s • Chart ID: %s • googleVis-%s
' , dataName, chartid, chartid,packageDescription('googleVis')$Version) return(list(htmlHeader=htmlHeader, htmlFooter=htmlFooter, htmlCaption=htmlCaption )) } ## taken from lattice by Deepayan Sarkar modifyList <- function (x, val) { stopifnot(is.list(x), is.list(val)) xnames <- names(x) for (v in names(val)) { x[[v]] <- if (v %in% xnames && is.list(x[[v]]) && is.list(val[[v]])) modifyList(x[[v]], val[[v]]) else val[[v]] } x } ## info string infoString <- function(type=""){ result <- string("",file="",append=FALSE) info <- R.Version() BCOMMENT <- "\n" result <- result + BCOMMENT + type + " generated in " + info$language + " " + info$major + "." + info$minor + " by googleVis " + packageDescription('googleVis')$Version + " package" + ECOMMENT result <- result + BCOMMENT + date() + ECOMMENT result$text } ## define class string with nice '+' paste, taken from xtable. "+.string" <- function(x,y) { x$text <- paste(x$text,as.string(y)$text,sep="") return(x) } print.string <- function(x,...) { cat(x$text,file=x$file,append=x$append) return(invisible()) } string <- function(text,file="",append=FALSE) { x <- list(text=text,file=file,append=append) class(x) <- "string" return(x) } as.string <- function(x,file="",append=FALSE) { if (is.null(attr(x,"class",exact=TRUE))) switch(data.class(x), character=return(string(x,file,append)), numeric=return(string(as.character(x),file,append)), stop("Cannot coerse argument to a string")) if (class(x)=="string") return(x) stop("Cannot coerse argument to a string") } is.string <- function(x) { return(class(x)=="string") } googleVis/R/zzz.R0000644000176200001440000001001113032146413013357 0ustar liggesusers### File R/zzz.R ### Part of the R package googleVis ### Copyright 2010, 2011, 2012 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA .onLoad<- function(lib, pkg,...) { options(gvis.plot.tag=NULL) options(gvis.print.tag="html") options(googleVis.viewer=getOption("viewer")) ## Set possible gvis.out.options ## Output from ## unique(unlist(strsplit(names(unlist( gvisTable(data.frame(x=1, y=1)))),".", fixed=TRUE))) gvis.tags <- c("type", "chartid", "html", "header", "chart", "jsHeader", "jsData", "jsDrawChart", "jsDisplayChart", "jsFooter", "jsChart", "divChart", "caption", "footer") options(gvis.tags=gvis.tags) ## This function are required to set option in googleVis functions, ## e.g. to set startZoom and stopZoom windows in gvisAnnotatedTimeLine setMethod("toJSON", "Date", function(x, container = length(x) > 1 || length(names(x)) > 0, ...) { dt <- as.Date(x) y <- format(dt,"%Y") m <- as.numeric(format(dt,"%m")) -1 d <- as.numeric(format(dt,"%d")) tmp <- paste("new Date(",y,",",m,",",d,")",sep="") paste(tmp, collapse=", ") }) setMethod("toJSON", "POSIXct", function(x, container = length(x) > 1 || length(names(x)) > 0, ...) { dt <- as.POSIXct(x) y <- format(dt,"%Y") m <- as.numeric(format(dt,"%m")) -1 d <- as.numeric(format(dt,"%d")) H <- as.numeric(format(dt,"%H")) M <- as.numeric(format(dt,"%M")) S <- as.numeric(format(dt,"%S")) tmp <- paste("new Date(",y,",",m,",",d,",",H,",",M,",",S,")",sep="") paste(tmp, collapse=", ") }) setMethod("toJSON", "POSIXlt", function(x, container = length(x) > 1 || length(names(x)) > 0, ...) { dt <- as.POSIXlt(x) y <- format(dt,"%Y") m <- as.numeric(format(dt,"%m")) -1 d <- as.numeric(format(dt,"%d")) H <- as.numeric(format(dt,"%H")) M <- as.numeric(format(dt,"%M")) S <- as.numeric(format(dt,"%S")) tmp <- paste("new Date(",y,",",m,",",d,",",H,",",M,",",S,")",sep="") paste(tmp, collapse=", ") }) invisible() } .onAttach <- function(lib, pkg,...){ packageStartupMessage(gvisWelcomeMessage()) } gvisWelcomeMessage <- function(){ # if(is.null(getOption("viewer"))) display <- "the standard browser to display its output.\n" # else # display <- paste("the RStudio Viewer pane to display its output.\n", # "Set options('googleVis.viewer'=NULL) to use your browser.\n", # sep="") paste("\n", "Welcome to googleVis version ", packageDescription("googleVis")$Version, "\n", "\n", "Please read Google's Terms of Use\n", "before you start using the package:\n", "https://developers.google.com/terms/\n", "\n", "Note, the plot method of googleVis will by default use\n", display, "\n", "See the googleVis package vignettes for more details,\n", "or visit http://github.com/mages/googleVis.\n", "\n", "To suppress this message use:\n", "suppressPackageStartupMessages(library(googleVis))\n", sep="") } googleVis/R/gvisAnnotationChart.R0000644000176200001440000002151412737123564016536 0ustar liggesusers### Part of the R package googleVis ### Copyright 2010 - 2014 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Annotation Chart with R #' \Sexpr{googleChartName <- "annotationchart"} #' \Sexpr{gvisChartName <- "gvisAnnotationChart"} #' #' gvisAnnotationChart charts are interactive time series line charts that support #' annotations. Unlike the gvisAnnotatedTimeLine, which uses Flash, #' annotation charts are SVG/VML and should be preferred whenever possible. #' #' @param data a \code{data.frame}. The data has to have at least two columns, #' one with date information (\code{datevar}) and one numerical variable. #' @param datevar column name of \code{data} which shows the date dimension. #' The information has to be of class \code{\link{Date}} or \code{POSIX*} time #' series. #' @param numvar column name of \code{data} which shows the values to be #' displayed against \code{datevar}. The information has to be #' \code{\link{numeric}}. #' @param idvar column name of \code{data} which identifies different groups of #' the data. The information has to be of class \code{\link{character}} or #' \code{\link{factor}}. #' @param titlevar column name of \code{data} which shows the title of the #' annotations. The information has to be of class \code{\link{character}} or #' \code{\link{factor}}. Missing information can be set to \code{NA}. See #' section 'Details' for more details. #' @param annotationvar column name of \code{data} which shows the annotation #' text. The information has to be of class \code{\link{character}} or #' \code{\link{factor}}. Missing information can be set to \code{NA}. See #' section 'Details' for more details. #' @param date.format if \code{datevar} is of class \code{\link{Date}} then #' this argument specifies how the dates are reformatted to be used by #' JavaScript. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}}. #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' % END DYNAMIC CONTENT #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso #' #' See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and #' plotting methods. Further see \code{\link{reshape}} for reshaping data, e.g. #' from a wide format into a long format. #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires Internet #' ## connection to display the visualisation. #' #' #' data(Stock) #' Stock #' A1 <- gvisAnnotationChart(Stock, datevar="Date", #' numvar="Value", idvar="Device", #' titlevar="Title", annotationvar="Annotation", #' options=list(displayAnnotations=TRUE, #' legendPosition='newRow', #' width=600, height=350) #' ) #' plot(A1) #' #' ## Two Y-axis #' A2 <- gvisAnnotationChart(Stock, datevar="Date", #' numvar="Value", idvar="Device", #' titlevar="Title", annotationvar="Annotation", #' options=list(displayAnnotations=TRUE, #' width=600, height=350, scaleColumns='[0,1]', #' scaleType='allmaximized') #' ) #' plot(A2) #' #' ## Zoom into the time window, no Y-axis ticks #' A3 <- gvisAnnotationChart(Stock, datevar="Date", #' numvar="Value", idvar="Device", #' titlevar="Title", annotationvar="Annotation", #' options=list( #' width=600, height=350, #' zoomStartTime=as.Date("2008-01-04"), #' zoomEndTime=as.Date("2008-01-05")) #' ) #' plot(A3) #' #' #' #' ## Colouring the area below the lines to create an area chart #' A4 <- gvisAnnotationChart(Stock, datevar="Date", #' numvar="Value", idvar="Device", #' titlevar="Title", annotationvar="Annotation", #' options=list( #' width=600, height=350, #' fill=10, displayExactValues=TRUE, #' colors="['#0000ff','#00ff00']") #' ) #' #' plot(A4) #' #' #' ## Data with POSIXct datetime variable #' A5 <- gvisAnnotationChart(Andrew, datevar="Date/Time UTC", #' numvar="Pressure_mb", #' options=list(scaleType='maximized') #' ) #' #' plot(A5) #' #' #' \dontrun{ #' #' ## Plot Apple's monthly stock prices since 1984 #' #' ## Get current date #' d <- Sys.time() #' current.year <- format(d, "%Y") #' current.month <- format(d, "%m") #' current.day <- format(d, "%d") #' #' ## Yahoo finance sets January to 00 hence: #' month <- as.numeric(current.month) - 1 #' month <- ifelse(month < 10, paste("0",month, sep=""), m) #' #' ## Get weekly stock prices from Apple Inc. #' tckr <- 'AAPL' #' yahoo <- 'http://ichart.finance.yahoo.com/table.csv' #' #' fn <- sprintf('%s?s=%s&a=08&b=7&c=1984&d=%s&e=%s&f=%s&g=w&ignore=.csv', #' yahoo, tckr, month, current.day, current.year) #' #' ## Get data from Yahoo! Finance #' data <- read.csv(fn, colClasses=c("Date", rep("numeric",6))) #' #' AAPL <- reshape(data[,c("Date", "Close", "Volume")], idvar="Date", #' times=c("Close", "Volume"), #' timevar="Type", #' varying=list(c("Close", "Volume")), #' v.names="Value", #' direction="long") #' #' ## Calculate previous two years for zoom start time #' lyd <- as.POSIXlt(as.Date(d)) #' lyd$year <- lyd$year-2 #' lyd <- as.Date(lyd) #' #' aapl <- gvisAnnotationChart(AAPL, datevar="Date", #' numvar="Value", idvar="Type", #' options=list( #' colors="['blue', 'lightblue']", #' zoomStartTime=lyd, #' zoomEndTime=as.Date(d), #' legendPosition='newRow', #' width=600, height=400, scaleColumns='[0,1]', #' scaleType='allmaximized') #' ) #' #' plot(aapl) #' } #' gvisAnnotationChart <- function(data, datevar="", numvar="", idvar="", titlevar="", annotationvar="", date.format="%Y/%m/%d", options=list(), chartid){ my.type <- "AnnotationChart" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(width = 600, height=300), options), dataName=dataName, data=list(datevar=datevar, numvar=numvar, idvar=idvar, titlevar=titlevar, annotationvar=annotationvar, date.format=date.format, allowed=c("number", "string", "date", "datetime")) ) checked.data <- gvisCheckAnnotatedTimeLineData(data, my.options, datevar=datevar, idvar=idvar, titlevar=titlevar, annotationvar=annotationvar) output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid=chartid) return(output) } googleVis/R/gvisIntensityMap.R0000644000176200001440000001075212737123564016070 0ustar liggesusers### Part of the R package googleVis ### Copyright 2010 - 2014 Markus Gesmann, Diego de Castillo ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA #' Google Intensity Map with R #' \Sexpr{googleChartName <- "intensitymap"} #' \Sexpr{gvisChartName <- "gvisIntensityMap"} #' #' An intensity map highlights regions or countries based on relative values. #' #' The gvisIntensityMap function reads a data.frame and creates text output #' referring to the Google Visualisation API, which can be included into a web #' page, or as a stand-alone page. #' #' #' @param data a \code{data.frame}. The data has to have at least two columns #' with location name (\code{locationvar}) and any number of numeric columns #' (\code{numvar}) to be mapped. #' @param locationvar column name of \code{data} with the geo locations to be #' analysed. The location has to contain country ISO codes or USA state codes. #' @param numvar column names of \code{data} with the numeric values to be #' displayed. #' @param options list of configuration options, see: #' #' % START DYNAMIC CONTENT #' #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURLConfigOptions.txt")))} #' #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOptions.txt")))} #' #' @param chartid character. If missing (default) a random chart id will be #' generated based on chart type and \code{\link{tempfile}} #' #' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list #' of \code{\link{class}} #' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", #' "mansections", "gvisOutputStructure.txt")))} #' #' @references Google Chart Tools API: #' \Sexpr[results=rd]{gsub("CHARTNAME", #' googleChartName, #' readLines(file.path(".", "inst", "mansections", #' "GoogleChartToolsURL.txt")))} #' #' @section Note: #' Please note that the maximum height for this visualisation is 220 and #' the maximum width is 440. For more details see the Google documentation. #' #' % END DYNAMIC CONTENT #' @author Markus Gesmann \email{markus.gesmann@@gmail.com}, #' #' Diego de Castillo \email{decastillo@@gmail.com} #' @seealso #' #' See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and #' plotting methods, \code{\link{gvisMap}} and \code{\link{gvisGeoMap}} for an #' alternative to \code{gvisIntensityMap}. #' #' @keywords iplot #' @examples #' #' ## Please note that by default the googleVis plot command #' ## will open a browser window and requires Internet #' ## connection to display the visualisation. #' #' df=data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val2=c(23,12,32)) #' Intensity1 <- gvisIntensityMap(df, locationvar="country", numvar=c("val1", "val2")) #' plot(Intensity1) #' #' ## Set colours for each tab #' Intensity2 <- gvisIntensityMap(df, #' options=list(colors="['#4682b4', '#0073CF']")) #' plot(Intensity2) #' #' #' gvisIntensityMap <- function(data, locationvar="", numvar="", options=list(), chartid){ my.type <- "IntensityMap" dataName <- deparse(substitute(data)) my.options <- list(gvis=modifyList(list(width = 600),options), dataName=dataName, data=list(locationvar=locationvar, numvar=numvar, allowed=c("number", "string"))) checked.data <- gvisCheckIntensityMapData(data, locationvar, numvar) output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid=chartid) return(output) } gvisCheckIntensityMapData <- function(data, locationvar, numvar){ if(! is.data.frame(data) ){ stop("Error: data has to be a data.frame.") } if(locationvar=="") locationvar <- 1 data[[locationvar]] <- as.character(data[[locationvar]]) if("" %in% numvar) numvar <- 2:ncol(data) data[numvar] <- sapply(data[numvar], as.numeric) data <- data[c(locationvar, numvar)] return(data) } googleVis/R/gvisMethods.R0000644000176200001440000001536212737123564015051 0ustar liggesusers### File R/gvisMethods.R ### Part of the R package googleVis ### Copyright 2010, 2011, 2012, 2013 Markus Gesmann, Diego de Castillo ### Distributed under GPL 2 or later ### It is made available under the terms of the GNU General Public ### License, version 2, or at your option, any later version, ### incorporated herein by reference. ### ### This program is distributed in the hope that it will be ### useful, but WITHOUT ANY WARRANTY; without even the implied ### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ### PURPOSE. See the GNU General Public License for more ### details. ### ### You should have received a copy of the GNU General Public ### License along with this program; if not, write to the Free ### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, ### MA 02110-1301, USA print.gvis <- function(x, tag=NULL, file="", ...){ if(is.null(tag)) tag <- getOption("gvis.print.tag") if(!tag %in% getOption("gvis.tags")) stop(paste(tag, "is not a valid option. Set tag to NULL or one of the following:\n", paste(getOption("gvis.tags"), collapse=", "))) tag <- ifelse( tag %in% c("chartid", "type", "html"), tag, paste(".", tag, sep="")) output <- unlist(x) tag.names <- names(output) .id <- apply(t(tag), 2, function(y) grep(paste("\\", y, sep=""), tag.names) ) cat(output[.id], file=file, ...) } isServerRunning <- function() { #tools:::httpdPort > 0L ifelse(R.version['svn rev'] < 67550 | getRversion() < "3.2.0", get("httpdPort", envir=environment(startDynamicHelp))>0, tools::startDynamicHelp(NA)>0 ) } googlevis.httpd.handler <- function(path, query, ...) { path <- gsub("^/custom/googleVis/", "", path) f <- sprintf("%s%s%s", tempdir(), .Platform$file.sep, path) list(file=f, "content-type"="text/html", "status code"=200L) } plot.gvis <- function(x, tag=NULL, ...){ if(missing(tag)) ## Has tag being actively set? tag <- getOption("gvis.plot.tag") if(is.null(tag) | !('gvis' %in% class(x))){ ## Open browser window if tag is NULL if(!isServerRunning() ) { startDynamicHelp() } env <- get( ".httpd.handlers.env", asNamespace("tools")) env[["googleVis"]] <- googlevis.httpd.handler root.dir <- tempdir() ## Write the whole visualisation into a html file if('gvis' %in% class(x)){ ## Write the pure chart html code into a separate file chart.txt <- ' %s

You find below the HTML code of the visualisation.
You can copy and paste the code into an existing HTML page.
For more information see also ?print.gvis

' chart.txt <- sprintf(chart.txt, x$chartid,gsub(">",">",gsub("<","<", paste(unlist(x$html$chart), collapse="\n")))) cat(chart.txt, file=file.path(root.dir, paste("Chart_", x$chartid, ".html", sep=""))) file <- file.path(root.dir, paste(x$chartid ,".html", sep="")) }else{## not a gvis object basex <- basename(x) if(length(grep("htm", substr(basex, nchar(basex)-3,nchar(basex)))) < 1) warning("The file does not appear to be an html file.\n") file.copy(from=x, to=file.path(root.dir, basex),...) file <- file.path(root.dir, basex) } print(x, file=file) .url <- sprintf("http://127.0.0.1:%s/custom/googleVis/%s", #tools:::httpdPort, ifelse(R.version['svn rev'] < 67550 | getRversion() < "3.2.0", get("httpdPort", envir=environment(startDynamicHelp)), tools::startDynamicHelp(NA) ), basename(file)) if(interactive()){ # viewer <- getOption("googleVis.viewer") # if (!is.null(viewer) ) # viewer(.url)#"http://localhost:8100") # else browseURL(.url, ...) }else{ ## not interactive modus browseURL(.url, browser='false',...) } invisible(file) }else{ ## givs.plot.tag not NULL if('gvis' %in% class(x)){ return(print(x, tag=tag)) }else{ return(print(x)) } } } gvisMerge <- function(x, y, horizontal=FALSE, tableOptions='border="0"', chartid){ type="gvisMerge" if(any(c(missing(x), missing(y)))) stop("Please provide two gvis-objects as input parameters.\n") ## test x and y are givs objects if(!any(c(inherits(x, "gvis"), inherits(y, "gvis")))) stop("x and y have to be gvis objects\n") if(missing(chartid)){ chartid <- paste("Merged", basename(tempfile(pattern="")),sep="ID") } htmlScaffold <- gvisHtmlWrapper(title="", chartid=chartid, dataName="various", type=type) output <- structure( list(type=type, chartid=chartid, html=list(header=htmlScaffold[["htmlHeader"]], chart=c(jsHeader=paste(x$html$chart["jsHeader"]), jsData=paste(x$html$chart["jsData"], y$html$chart["jsData"], sep="\n"), jsDrawChart=paste(x$html$chart["jsDrawChart"], y$html$chart["jsDrawChart"], sep="\n"), jsDisplayChart=paste(x$html$chart["jsDisplayChart"], y$html$chart["jsDisplayChart"], sep="\n"), jsFooter=paste(x$html$chart["jsFooter"]), jsChart=paste(x$html$chart["jsChart"], y$html$chart["jsChart"], sep="\n"), divChart= paste("\n\n\n\n", ifelse(horizontal,"\n\n\n\n
\n", x$html$chart["divChart"], "\n\n","
\n"), y$html$chart["divChart"], "\n
\n", sep="") ), caption=htmlScaffold[["htmlCaption"]], footer=htmlScaffold[["htmlFooter"]] ) ), class=c("gvis", "list") ) return(output) } googleVis/vignettes/0000755000176200001440000000000013032146654014224 5ustar liggesusersgoogleVis/vignettes/googleVis.Rnw0000644000176200001440000015415013032016136016647 0ustar liggesusers\documentclass{article} \usepackage[T1]{fontenc} \usepackage{Sweave} \usepackage{thumbpdf} \usepackage{url} %\usepackage{wrapfig} \usepackage{hyperref} \hypersetup{ pdftitle={Introduction to googleVis},% pdfauthor={Markus Gesmann},% } %\VignetteEngine(Sweave) %!\VignetteEncoding{UTF-8} %\VignetteIndexEntry{Introduction to googleVis} %\VignetteDepends{googleVis} %\VignetteKeywords{google, visualisation, api} %\VignettePackage{googleVis} \SweaveOpts{engine=R, eps=FALSE, keep.source = TRUE} <>= options(prompt = "R> ", digits = 4, show.signif.stars = FALSE) @ %\keywords{google, visualisation, api, \proglang{R}} \setlength{\parindent}{0.0in} \setlength{\parskip}{2mm} \newcommand{\googleVis}{\textbf{\texttt{googleVis}} } \newcommand{\knitr}{\textbf{\texttt{knitr}} } \newcommand{\rsp}{\textbf{\texttt{R.rsp }}} \newcommand{\brew}{\textbf{\texttt{brew }}} \newcommand{\rapache}{\emph{{RApache }}} \newcommand{\Rook}{\emph{{Rook }}} \newcommand{\shiny}{\textbf{\texttt{shiny }}} \renewcommand{\familydefault}{\sfdefault} \begin{document} \SweaveOpts{concordance=TRUE} \author{Markus Gesmann\footnote{markus.gesmann@gmail.com}, Diego de Castillo\footnote{decastillo@gmail.com}} \title{Introduction to googleVis \Sexpr{packageDescription("googleVis")[['Version']]} } \maketitle \begin{abstract} The \googleVis package provides an interface between R and the Google Charts API. Google Charts offer interactive charts which can be embedded into web pages. The best known of these charts is probably the Motion Chart, popularised by Hans Rosling in his TED talks. The functions of the \googleVis package allow the user to visualise data stored in R data frames with Google Charts without uploading the data to Google. The output of a \googleVis function is HTML code that contains the data and references to JavaScript functions hosted by Google. googleVis makes use of the internal R HTTP server to display the output locally. A modern browser with an Internet connection is required and for some charts a Flash player. \end{abstract} \clearpage \tableofcontents \clearpage \section{Introduction}\label{sec:Intro} \subsection{Motivation}\label{sec:Motivation} More and more data is becoming available, and yet stories and insights are still often missed: we are lost in the data jungle and struggle to see the wood for the trees. Hence, new tools are required to bring data to life, to engage with users, to enable them to slice and dice the data, to view it from various angles and to find stories worth telling: outliers, trends or even the obvious. In 2006 Hans Rosling gave an inspiring talk at TED~\cite{HansRoslingTedTalk} about social and economic developments in the world over the past 50 years, which challenged the views and perceptions of many listeners. Rosling had used extensive data analysis to reach his conclusions. To visualise his talk, he and his team at Gapminder~\cite{Gapminder} had developed animated bubble charts, aka motion charts, see Figure~\ref{MotionChartGUI}. Rosling's presentation popularised the idea and use of interactive charts. One year later the software behind Gapminder was bought by Google and integrated as motion charts into their Google Charts API~\cite{GoogleVisApi}, formerly known as Google Visualisation API. In 2010 Sebasti\'{a}n P\'{e}rez Saaibi~\cite{Saaibi2010} presented at the R/Rmetrics Workshop on Computational Finance and Financial Engineering, the idea to use Google motion charts to visualise R output with the \rsp package~\cite{Rsp}. Inspired by those talks and the desire to use interactive data visualisation tools to foster the dialogue between data analysts and others the authors of this vignette started the development of the \googleVis package~\cite{googleVis}, \cite{RJournal:2011-2:GesmannCastillo} in August 2010. \begin{figure}[t] \begin{center} \includegraphics[width=\textwidth]{./figures/MotionChart.pdf} \caption{ Overview of a Google Motion Chart. Screenshot of the output of \texttt{plot(gvisMotionChart(Fruits, idvar='Fruit', timevar='Year'))} }\label{MotionChartGUI} \end{center} \end{figure} %\clearpage \subsection{Google Chart Tools}\label{sec:GoogleChartTools} The Google Charts API~\cite{GoogleVisApi} allows users to create interactive charts as part of Google documents, spreadsheets and web pages. In this text, we will focus on the usage of the API as part of web pages. The Google Public Data Explorer~\cite{GooglePublicData} provides a good example, demonstrating the use of interactive charts and how they can help to analyse data. Please note, that all of those charts are rendered by the browser. The charting data can either be embedded into the HTML file or read dynamically. The key to the Google Charts is that the data is structured in a DataTable~\cite{DataTable}, and this is where the \googleVis package helps, as it transforms R data frames into JSON~\cite{json} objects, using the \texttt{\textbf{jsonlite}} package~\cite{jsonlite}, as the basis for a DataTable. As an example we shall look at the html-code of a motion chart from Google's visualisation gallery~\cite{GoogleMotionChart}, which generates output similar to Figure~\ref{MotionChartGUI}: \begin{small}\label{motionchartcodeexample} \begin{verbatim} 1 2 3 6 30 31 32
34
35 36 \end{verbatim} \end{small} The code and data are processed and rendered by the browser and is not submitted to any server\footnote{\url{https://google-developers.appspot.com/chart/interactive/docs/gallery/motionchart.html\#Data\_Policy}}. You will notice that the above HTML code has five generic parts\footnote{For more details see \url{https://google-developers.appspot.com/chart/interactive/docs/index}}: \begin{itemize} \item references to Google's AJAX (l. 4) and Visualisation API (ll. 7 -- 8), %%shown here as \verb=jsapi= and \verb='motionchart'=, \item data to visualise as a \verb=DataTable= (ll. 11 -- 24), \item an instance call to create the chart (ll. 25 -- 26), \item a method call to draw the chart including options, shown here as width and height (l. 27), \item an HTML \verb=
= element to add the chart to the page (ll. 32 -- 34). \end{itemize} These principles hold true for most of the interactive charts of the Google Chart Tools, see the examples in Figure~\ref{demos}. However, before you use the API you should read the \href{https://developers.google.com/terms/}{Google Terms of Service}~\cite{GoogleTerms}. \section{The \googleVis package}\label{sec:googleVisPackage} The \googleVis package provides an interface between R and the Google Chart Tools. The functions of the package allow the user to visualise data stored in R data frames with Google Charts. Version (\Sexpr{packageDescription("googleVis")[['Version']]}) of the package provides interfaces to Motion Charts, Annotated Time Lines, Maps, Geo Maps, Geo Charts, Intensity Maps, Tables, Gauges, Tree Maps, further Line, Bar, Bubble, Column, Area, Stepped Area, Combo, Scatter, Candlestick, Pie, Sankey, Annotation, Histogram, Timeline, Calendar and Org Charts; see Figure~\ref{demos} for some examples. The output of a \googleVis function is HTML code that contains the data and references to JavaScript functions hosted by Google. A browser with an Internet connection is required to view the output, and for Motion Charts, Geo Maps, and Annotated Time Lines also Flash. For Geo Maps and Annotated Time Lines HTML5 alternatives are available with Geo Charts and Annotation Charts. <>= ## Code for screen shot MC <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(width=500, height=300)) ATL <- gvisAnnotatedTimeLine(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list( width=300, height=300, fill=10, displayExactValues=TRUE, colors="['#0000ff','#00ff00']") ) Map <- gvisMap(Andrew, "LatLong" , "Tip", options=list(showTip=TRUE, showLine=TRUE, enableScrollWheel=TRUE, mapType='terrain', useMapTypeControl=TRUE, width=400, height=200)) Geo <- gvisGeoMap(Exports, locationvar='Country', numvar='Profit', options=list(dataMode="regions", width=400,height=200)) ## Table with enabled paging Table <- gvisTable(Population, options=list(page='enable', height=200, width=500)) Tree <- gvisTreeMap(Regions, "Region", "Parent", "Val", "Fac", options=list(width=300, height=200, fontSize=16, minColor='#EDF8FB', midColor='#66C2A4', maxColor='#006D2C', headerHeight=20, fontColor='black', showScale=TRUE)) M <- gvisMerge(gvisMerge(gvisMerge(MC, ATL, TRUE, tableOptions="cellspacing=10"), gvisMerge(Map, Geo, TRUE, tableOptions="cellspacing=10")), gvisMerge(Table, Tree, TRUE, tableOptions="cellspacing=10")) plot(M) @ \begin{figure}[t] \begin{center} \includegraphics[width=\textwidth]{./figures/googleVisDemoPlots.pdf} \caption{ Screenshot of some of the outputs of \texttt{demo(googleVis)}. Clockwise from top left: \texttt{gvisMotionChart}, \texttt{gvisAnnotatedTimeLine}, \texttt{gvisGeoMap}, \texttt{gvisTreeMap}, \texttt{gvisTable}, and \texttt{gvisMap}. }\label{demos} \end{center} \end{figure} \subsection{Installation}\label{sec:Installation} You can install \googleVis in the usual way from CRAN, e.g.: <>= install.packages('googleVis') @ The installation was successful if the command \texttt{library(googleVis)} gives you the following message: <>= library(googleVis) @ <>= library(googleVis) @ <>= cat(googleVis:::gvisWelcomeMessage()) @ \subsection{Using the \googleVis package}\label{sec:UsingGoogleVis} The individual functions of the \googleVis package are documented in the help pages. Here we will cover only the principles of the package. As an example, we will show how to generate a motion chart as displayed in Figure~\ref{MotionChartGUI}. It works similarly for the other APIs. Further examples are covered in the demos\footnote{See \texttt{demo(package="googleVis")} for a list of the available demos.} of the \googleVis package. The design of the visualisation functions is fairly generic. The name of the visualisation function is \texttt{'gvis' + ChartType}. So for the Motion Chart we have: \begin{verbatim} gvisMotionChart(data, idvar='id', timevar='date', options=list(), chartid) \end{verbatim} Here \texttt{data} is the input \texttt{data.frame} and \texttt{idvar} and \texttt{timevar} specify the column names of the id variable and time variable for the plot, while display options are set in an optional list, which we discuss in more detail on page~\pageref{settingoptions}. The options and data requirements follow those of the Google Charts API and are documented in the help pages, see <>= help('gvisMotionChart') @ \begin{figure}%{r}{0.35\textwidth} \begin{center} \includegraphics[width=0.34\textwidth]{./figures/gvisObject.pdf} \caption{Schematic structure of a gvis list object. }\label{gvisObject} \end{center} \end{figure} The argument \texttt{chartid} allows the user to set a chart id of the output chart manually. If the argument is missing a random id using \texttt{tempfile(pattern=\textquotesingle\textquotesingle)} will be generated. Unique chart ids are required to place more than one chart on a web page. The output of a \googleVis function is a list of lists (a nested list) containing information about the chart type, chart id and the HTML code in a sub-list with header, chart, caption and footer, see Figure~\ref{gvisObject}. The idea behind this concept is that users can get a complete web page, while at the same time offer a facility to extract specific parts, such as the chart itself. This is particularly helpful if the package functions are used in solutions where the user wants to feed the visualisation output into other sites, or would like to embed them into rsp-pages (see page~\pageref{rspexample}), use \rapache (see page~\pageref{rapacheexample}) or Google Gadgets. The output of a \googleVis function will be of class \texttt{'gvis'} and \texttt{'list'}. Generic print (\texttt{print.gvis}) and plot (\texttt{plot.gvis}) functions exist to ease the handling of such objects. To illustrate the concept we shall create a motion chart using the \texttt{Fruits} data set. \subsection{Motion Chart Example}\label{sec:MotionChartExample} Following the documentation of the Google Motion Chart API we need a data set which has at least four columns: one identifying the variable we would like to plot, one time variable and at least two numerical variables, further numerical and character columns are allowed. As an example we use the \texttt{Fruits} data set: <<>>= data(Fruits) Fruits @ Here we will use the columns \texttt{'Fruit'} and \texttt{'Year'} as id and time variable respectively. However we could have used \texttt{'Date'} instead of \texttt{'Year'} as well. <<>>= M <- gvisMotionChart(Fruits, idvar="Fruit", timevar="Year") @ The structural output of \texttt{gvisMotionChart} is a list of lists as described above <>= str(M) @ <>= ## This statement avoids truncation cat(paste(substring( capture.output( str(M) ) , 0, 66), sep="\n", collapse="\n")) @ The first two items of the list contain information about the chart type used and the individual chart id: %generated at run time from the chart %type and \texttt{tempfile(pattern=\textquotesingle\textquotesingle)}: <<>>= M$type M$chartid @ The html output is a list with header, chart, caption and footer. This allows the user to extract only certain parts of the page, or to create a complete html page. The header part of the html page has only basic html and formatting tags: <<>>= print(M, tag='header') @ Here we used the \texttt{print} statement with the tag \texttt{'header'} instead of \texttt{M\$html\$header} to achieve a formatted screen output. This is the same output as \texttt{cat(M\$html\$chart)}. The actual Google visualisation code is stored with the data as a named character vector in the \texttt{chart} item of the HTML list. The chart is made up of several JavaScript and HTML statements. Please notice that the JavaScript functions are uniquely named with the information of the chart id. This concept allows the user get all the chart code directly or only specific parts; see the examples in the help page of \texttt{print.gvis} for more details. <<>>= names(M$html$chart) @ The complete chart can be displayed via: <<>>= print(M, tag='chart') ## or cat(M$html$chart) @ Similarly you can also access specific components of the chart, e.g. (output truncated) <>= cat(M$html$chart['jsChart']) # or print(M, 'jsChart') @ <>= cat(paste(substring( capture.output( cat(M$html$chart['jsChart']) ) , 0, 66), sep="\n", collapse="\n")) @ A basic chart caption and html footer are the final items of the html list (output truncated): <>= print(M, tag='caption') @ <>= cat(paste(substring( capture.output( cat(M$html$caption) ) , 0, 66), sep="\n", collapse="\n")) @ <>= print(M, tag='footer') @ <>= cat(paste(substring( capture.output( cat(M$html$footer) ) , 0, 66), sep="\n", collapse="\n")) @ \subsection{Displaying \texttt{gvis} objects locally}\label{sec:DisplayLocally} To display the page locally, type: <>= plot(M) # returns invisibly the file name @ The plot method for \texttt{gvis}-objects creates HTML files in a temporary folder using the type and chart id information of the object and it will display the output using the R HTTP help web server locally, usually under http://127.0.0.1. Note that the chart caption provides a link to the chart code via the chart id for copy and paste. The R command \texttt{tempdir()} will show you the path of the per-session temporary directory, in which the files were written. You can write the chart into a local html file via the \texttt{print} command with the file argument, e.g. <>= print(M, file="myGoogleVisChart.html") @ Please note that Flash charts\footnote{Currently the following charts require Flash: motion chart, geo map and annotated time line} may not work when loaded as a local file due to security settings, and therefore require to be displayed via a web server. However, you can overcome this issue by changing your Flash security settings. Tony Breyal posted the following solution on \href{http://stackoverflow.com/questions/8009825/cannot-view-gvismotionchart-from-printed-html-file }{stackoverflow.com}: \begin{enumerate}\label{breyal} \item Go to \url{http://www.macromedia.com/support/documentation/en/flashplayer/help/settings_manager04.html} \item Click on the dropbox which says 'Edit location' and choose 'add location' \item Click 'browse for folder' \item Choose the folder in which you saved your HTML file \item Click OK \end{enumerate} Now open your \googleVis HTML file and it should display successfully. Alternatively use the function \texttt{plot.gvis} explicitly, e.g. suppose your html file is stored in \texttt{/Users/JoeBloggs/myGoogleVisChart.html}. Using the \texttt{plot.gvis} the file will be copied into a temporary directory and displayed via the R HTTP help server with, in the same way as a gvis-object: <>= plot.gvis("/Users/JoeBloggs/myGoogleVisChart.html") @ Please note that this feature of \texttt{plot.gvis} was introduced to \googleVis with version 0.3.2. \subsection{Setting default behaviour of \texttt{print.gvis} and \texttt{plot.gvis}}\label{sec:Options} In \googleVis version 0.3.2 the function \texttt{plot.gvis} gained the same argument as \texttt{print.gvis}: \texttt{tag}. By default the \texttt{tag} argument is set to \texttt{NULL} in \texttt{plot.gvis} and the plot function will display its output in a browser window. However, if \texttt{tag} is not \texttt{NULL} the function \texttt{plot.gvis} will behave exactly like \texttt{print.gvis}. The default \texttt{tag} can be set for both functions globally via the \texttt{options()} function. On package load \googleVis sets \texttt{options(gvis.print.tag='html')} and \texttt{options(gvis.plot.tag=NULL)}. Suppose you would set \texttt{options(gvis.plot.tag='chart')} then all following plot statements would print the chart part of the gvis-object only, without opening a browser window. This might seem a bit odd at first, yet it becomes helpful when you write R Markdown files for \knitr or files for other packages such as \textbf{\texttt{R.rsp}}. While you draft your file you may want to see the output of \googleVis in an interactive way, so you set \texttt{options(gvis.plot.tag=NULL)} at the top of the file and you change the setting to \texttt{'chart'} before you parse the file, say with \textbf{\texttt{knitr}}. This will ensure that all plot statements return the HTML code of the chart, rather than opening browser windows. Section~\ref{sec:knitr} on page~\pageref{sec:knitr} provides more details and a little \knitr example. \subsection{Combining charts with \texttt{gvisMerge}}\label{gvisMerge} The function \texttt{gvisMerge} takes two \texttt{gvis}-objects and merges the underlying components into one page. The charts are aligned either horizontally or vertically next to each other in an HTML table. \begin{figure}[ht] \begin{center} \includegraphics[width=0.8\textwidth]{./figures/gvisMerge.pdf} \caption{ Three charts combined with \texttt{gvisMerge}. }\label{gvisMerge} \end{center} \end{figure} The output of \texttt{gvisMerge} is a \texttt{gvis}-object again. This allows us to apply the same function iteratively to create more complex chart layouts. The following example, see Figure~\ref{gvisMerge}, aligns a geo chart and table below each other, and combines the output with a motion chart to the right: <<>>= G <- gvisGeoChart(Exports, "Country", "Profit", options=list(width=200, height=100)) T <- gvisTable(Exports, options=list(width=200, height=270)) M <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(width=400, height=370)) GT <- gvisMerge(G,T, horizontal=FALSE) GTM <- gvisMerge(GT, M, horizontal=TRUE, tableOptions="bgcolor=\"#CCCCCC\" cellspacing=10") @ <>= plot(GTM) @ \subsection{Setting options}\label{settingoptions} Setting the various options of a \googleVis objects can be a bit cumbersome at first. The options follow those of the Google Charts API and can be set via a named list using the argument \texttt{options}. In the following example, we create a line chart and set various options\footnote{Please refer to the help file of the individual \googleVis functions, as the options can vary from chart to chart.}, see the output in Figure~\ref{Options}. \begin{figure}[ht] \begin{center} \includegraphics[width=0.8\textwidth]{./figures/Options.pdf} \caption{ A line chart with various options set. }\label{Options} \end{center} \end{figure} <>= df <- data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val2=c(23,12,32)) Line <- gvisLineChart(df, xvar="country", yvar=c("val1","val2"), options=list( title="Hello World", titleTextStyle="{color:'red', fontName:'Courier', fontSize:16}", backgroundColor="#D3D3D3", vAxis="{gridlines:{color:'red', count:3}}", hAxis="{title:'Country', titleTextStyle:{color:'blue'}}", series="[{color:'green', targetAxisIndex: 0}, {color: 'orange',targetAxisIndex:1}]", vAxes="[{title:'val1'}, {title:'val2'}]", legend="bottom", curveType="function", width=500, height=300 )) plot(Line) @ As you can see from the example above, the simpler options can be set by name=value, e.g. width=500, while the more complex options with sub-components are listed in curly brackets \{\}, and arrays, e.g. to define the two axes, use square brackets [ ]. Generally, the following rules apply: \begin{itemize} \item parameters with names that do not include a "." are set with a single value, e.g. width and height. Those are set like one would do in R, that is \texttt{options=list(}\texttt{width=200,} \texttt{height=300)}. Boolean arguments are set to either \texttt{TRUE} or \texttt{FALSE}, using the R syntax. \item parameters with names that do not include a "." and are set with multiple values, e.g. \texttt{color}, and are wrapped in "[ ]", e.g. \texttt{options=list(} \texttt{colors="['\#cbb69d',} \texttt{'\#603913',} \texttt{'\#c69c6e']")} \item parameters with names that do include a "." present parameters with several sub-options and have to be set as a string wrapped in "\{ \}". The values of those sub-options are set via parameter:value. Boolean values have to be stated as \texttt{'true'} or \texttt{'false'}. For example the Google documentaion states the formating options for the vertical axis and states the parameter as \texttt{vAxis.format}. Then this paramter can be set in R as: \texttt{options=list(} \texttt{vAxis="\{format:'\#,\#\#\#\%'\}")}. \item If several sub-options have to be set, e.g. \texttt{titleTextStyle.color,} \texttt{title\-Text\-Style.\-fontName} and \texttt{titleTextStyle.fontSize}, then those can be combined in one list item such as: \texttt{options=list(} \texttt{titleTextStyle="\{color:'red',} \texttt{fontName:'Courier',} \texttt{fontSize:16\}")} \item paramters that can have more than one value per sub-options are wrapped in "[ ]". For example to set the labels for left and right axes use: \texttt{options=list(} \texttt{vAxes="[\{title:'val1'\},} \texttt{\{title:'val2'\}]")} \end{itemize} The following example set the colour axis of a geo chart, see Figure~\ref{geochart}: <>= Geo <- gvisGeoChart(CityPopularity, locationvar='City', colorvar='Popularity', options=list(region='US', height=350, displayMode='markers', colorAxis="{values:[200,400,600,800], colors:[\'red', \'pink\', \'orange',\'green']}") ) plot(Geo) @ \begin{figure}[ht] \begin{center} \includegraphics[width=0.8\textwidth]{./figures/gvisGeoChart.pdf} \caption{ A geo chart with options set for a colour axis.} \label{geochart} \end{center} \end{figure} \subsubsection{Chart Editor} A special option for all charts is \texttt{gvis.editor}, which adds an edit button to the page, allowing the user to edit, change and customise the chart on the fly, see the following example and Figure~\ref{Editor}. The content of the list item \texttt{gvis.editor} describes the label of the browser button\footnote{See also \url{https://google-developers.appspot.com/chart/interactive/docs/drawing\_charts\#charteditor}}. <>= Editor <- gvisLineChart(df, options=list(gvis.editor='Edit me!')) plot(Editor) @ \begin{figure}[ht] \begin{center} \includegraphics[width=0.8\textwidth]{./figures/Editor.pdf} \caption{ Example of \googleVis chart with \texttt{options = list (gvis.editor = 'Edit me!')}. }\label{Editor} \end{center} \end{figure} \subsubsection{Dealing with apostrophes in column names} The \googleVis package converts data frames into JSON objects. The column names of the resulting JSON tables are encapsulated with single speech marks, see lines 12 -- 16 of the code example on page~\pageref{motionchartcodeexample}. Hence apostrophes in column names of your input data frame have to be encapsulated by a double backslash. Here is a little example, see the output in Figure~\ref{fig:apostrophes}. <<>>= df <- data.frame("Year"=c(2009,2010), "Lloyd\\'s"=c(86.1, 93.3), "Munich Re\\'s R/I"=c(95.3, 100.5), check.names=FALSE) df CR <- gvisColumnChart(df, options=list(vAxis='{baseline:0}', title="Combined Ratio %", legend="{position:'bottom'}")) @ <>= plot(CR) @ \begin{figure}[t] \centering \includegraphics[width=0.5\textwidth]{./figures/Apostrophe.pdf} \caption{Visualising data with apostrophes in column names.} \label{fig:apostrophes} \end{figure} \section{Embedding \googleVis in web sites} \subsection{Integrating \texttt{gvis} objects in existing sites} Suppose you have an existing web page and would like to integrate the output of a \googleVis function, such as \texttt{gvisMotionChart}. In this case you only need the chart output from \texttt{gvisMotionChart}. So you can either copy and paste the output from the R console <>= print(M, 'chart') ## or cat(M$html$chart) @ or the browser, see previous section, into your existing html page, or write the content directly into a file <>= print(M, 'chart', file='myfilename') @ and process it from there. \subsection{Using \googleVis output with WordPress} \href{http://wordpress.org/}{WordPress} is a popular web software for creating websites and blogs. Here we give some tips about the usage with \googleVis output. By default WordPress does not allow JavaScript code (and hence \googleVis output) to be inserted into a page. However, additional plugins allow you to extend the functions of WordPress. One option of embedding JavaScript code inside a WordPress post is to use the ``custom fields shortcode'' plugin\footnote{\url{http://wordpress.org/extend/plugins/custom-fields-shortcode}}. The plugin allows you to create a custom field for the \googleVis code, which can be referred to in your article. Suppose you created a motion chart in R: <>= M <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(width=400, height=370)) @ Copy the chart code, e.g. from <>= print(M, 'chart') @ and paste it into the value text area of a custom field in WordPress, e.g. with instance name \texttt{Fruits}. To include the motion chart into your article add \texttt{[cf]Fruits[/cf]} into the post, see Figure~\ref{wordpress} for an illustration. \begin{figure}[t] \centering \includegraphics[width=0.8\textwidth]{./figures/CreatePost.pdf} \caption{Including \googleVis output in a WordPress blog entry.} \label{wordpress} \end{figure} \subsection{Using \googleVis output with Google Sites, Blogger, etc.} Google Charts can be used with other Google products such as Google Sites, Blogger or Google Code wiki pages. However, in most cases, the chart has to be embedded as a Google Gadget. Google Gadgets are written in XML and can have HTML and Javascript components. Here is an example of a 'Hello World' program written using Google Gadget technology from \href{http://en.wikipedia.org/wiki/Google_Gadgets}{Wikipedia}. \begin{verbatim} \end{verbatim} The \googleVis package comes with the function \texttt{createGoogleGadget}, which takes a gvis-object and wraps it into an XML gadget file. Here is an example with a motion chart: <<>>= M <- gvisMotionChart(Fruits, "Fruit", "Year") G <- createGoogleGadget(M) @ <>= cat(G, file="myGadget.xml") @ In order to use the gadget, the file \texttt{myGadget.xml} has to be hosted online, e.g. using Google Docs. Suppose the URL to the gadget is \texttt{http://example.com/myGadget.xml}, than you can embed the gadget \begin{itemize} \item in a Google Site via the menu: "Insert" -> "More gadgets ..." -> "Add gadget URL", \item in a Google Code wiki via the \texttt{wiki:gadget} tag, e.g.: \texttt{}, \item in Blogger via the design tab, see site gadgets. \end{itemize} However, the situation is different again, if you would like to include the \googleVis output into a blogger post. In this case, a gadget does not work. You can either copy and paste the chart directly into your post, but then it does not seem to work with MS Internet Explorer, or you use an indirect approach. This means that the \googleVis chart has to be hosted on a separate page (e.g. in a public web folder) and is embedded into the blog post by using the \texttt{ \end{verbatim} For an example see the following blog entry: \href{http://www.magesblog.com/2011/09/including-googlevis-output-into-blogger.html} {http://www.magesblog.com/2011/09/including-googlevis-output-into-blogger.html}. \subsection{Embedding \googleVis in web sites dynamically} In this section, we provide examples how the \googleVis functions can be embedded into web pages dynamically. The R packages \rsp~\cite{Rsp} and \brew~\cite{brew2010} are two options to integrate R snippets into HTML code. While the \rsp package comes with its own internal web server, \brew requires the Apache HTTP server~\cite{Apache2.0} with the \rapache~\cite{Rapache} module installed. Please note that currently the \rapache module only runs on UNIX/Linux and Mac OS X. Since version 2.11.0 R ships with its own internal web server and with \Rook~\cite{Rook} and \shiny~\cite{shiny} there are also two alternatives that use this facility. Both packages allow users to deploy web application locally with very little overhead. The \shiny framework is the newest and certainly easiest option to get started with web apps using R and \googleVis. \subsubsection{Using \googleVis with \rsp}\label{rspexample} The \rsp package allows the user to integrate R code into html code. The R code is parsed by the \rsp web server and executed at run time. As an example, we embed a motion chart into a rsp-page: \begin{verbatim} <% library(googleVis) M <- gvisMotionChart(Fruits, idvar="Fruit", timevar="Year") %> <%= M$html$chart %> \end{verbatim} The R code included in \texttt{<\%$\dots$\%>} is executed when read by the R.rsp HTTP server, but no R output will be displayed. To embed the R output into the html code we have to add an equal sign, \texttt{<\%=$\dots$\%>}, which acts as a \texttt{cat} statement. \subsubsection{Using \googleVis with \rapache and \brew}\label{rapacheexample} \rapache supports web application development using R and the Apache HTTP server. The \rapache module embeds the R interpreter into the Apache web server. However, as we would like to mix R and HTML code we also need a parser and this is where the R package \brew comes into place. Files sitting in a dedicated \brew folder of the HTTP repository are parsed by \brew when opened in the browser. The R code is executed with \rapache and the output is embedded into the site. Hence the approach is similar to \rsp with the difference that the two tasks are split. This has the advantage that R does not have to run in a separate window. Detailed installation instructions for \rapache are available on the project site: \href{http://rapache.net/manual.html}{http://\-rapache.\-net/\-manual\-.html}, for specific comments on Mac OS X see: \href{http://worldofrcraft.blogspot.com/2010/08/installing-rapache-on-mac-os-x-snow.html}{http://\-worldofrcraft\-.blog\-spot\-.com/\-2010/\-08/\-installing\--rapache\--on\--mac\--os\--x\--snow\-.html} Following the installation of \rapache you will have to configure Apache. Most likely you have to add something along the following lines to your \path{apache2.conf} or \path{httpd.conf} file (often found in \path{/etc/httpd} or \path{/private/etc/apache2/httpd.conf} on Mac OS X): \begin{verbatim} LoadModule R_module /usr/lib/apache2/modules/mod_R.so ## On Mac OS X more likely to be: ## LoadModule R_module libexec/apache2/mod_R.so ROutputErrors RSourceOnStartup "/var/www/rapache/R/startup.R" ## On Mac OS X the www folder is often equivalent to: ## /Library/WebServer/Documents/ \end{verbatim} The first line loads the R module when the Apache web server is started, the second line deals with error handling, while the \path{startup.R} file is suitable for initial set ups, e.g. libraries and global variables: \begin{verbatim} ## Ensure the packages are installed so that mod_R ## has access to them, e.g. not in your home folder library{googleVis} library{lattice} library{Cairo} MyGlobalVar <- 42 \end{verbatim} To test that \rapache is working open \href{http://localhost/RApacheInfo}{http://\-localhost/\-RApacheInfo} and you should find details about your system, an example can be found on the \rapache site: \href{http://biostat.mc.vanderbilt.edu/rapache/files/RApacheInfo.html}{http://\-biostat.\-mc.\-vanderbilt.\-edu/\-rapache/\-files/\-RApacheInfo\-.html} The next step is to install the \brew R package in the usual way: <>= install.packages('brew') @ Following this we have to tell Apache that files in a specific folder should be parsed by \textbf{\texttt{brew}}. Again we edit the \path{apache2.conf} or \path{httpd.conf} and add the connection of the RHandler with the function \path{brew}: \begin{verbatim} ## On Mac OS more likely to be something like: ## SetHandler r-script RHandler brew::brew \end{verbatim} That's all. Restart the HTTP daemon and you can start placing files in the \brew directory and access them via \path{http://localhost/rapache/brew/filename}, e.g. a file containing: \begin{verbatim}

Fruits

<% library(googleVis) M <- gvisMotionChart(Fruits, idvar="Fruit", timevar="Year") %> <%= M$html$chart %> \end{verbatim} You will notice that the \brew syntax is very similar to \texttt{rsp}. For more information read the documentation of the \rapache module and \brew package. You find two simple examples of brew files in the \googleVis package. Again the following R command shows you the folder path: <>= system.file("brew", package = "googleVis") @ \subsubsection{Using \googleVis with \Rook} \Rook~\cite{Rook} is a web server interface for R, written by Jeffrey Horner, the author of rApache and brew. Compared to other web frameworks \Rook appears incredibly lightweight. \Rook doesn't need any configuration. It is an R package, which works out of the box with the R HTTP server. That means no configuration files are needed. No files have to be placed in particular folders. Instead, \Rook web applications can be run on a local desktop. However, \Rook requires some knowledge of the HTTP protocol. Here is a \Rook app example with \texttt{googleVis}. It displays a little R data frame in a \googleVis table by default. The user can change the visualisation by clicking on the \emph{Edit me!} button and upload her/his own CSV-file, see Figure~\ref{fig:Rook}. \begin{figure}[ht] \centering \includegraphics[width=0.8\textwidth]{./figures/Rook.pdf} \caption{Screen shot of a Rook app with \googleVis output.} \label{fig:Rook} \end{figure} <>= require(Rook) require(googleVis) s <- Rhttpd$new() s$start(listen='127.0.0.1') my.app <- function(env){ ## Start with a table and allow the user to upload a CSV-file req <- Request$new(env) res <- Response$new() ## Provide some data to start with ## Exports is a sample data set of googleVis data <- Exports[,1:2] ## Add functionality to upload CSV-file if (!is.null(req$POST())) { ## Read data from uploaded CSV-file data <- req$POST()[["data"]] data <- read.csv(data$tempfile) } ## Create table with googleVis tbl <- gvisTable(data, options=list(gvis.editor="Edit me!", height=350), chartid="myInitialView") ## Write the HTML output and ## make use of the googleVis HTML output. ## See vignette('googleVis') for more details res$write(tbl$html$header) res$write("

My first Rook app with googleVis

") res$write(tbl$html$chart) res$write(' Read CSV file:
\n
') res$write(tbl$html$footer) res$finish() } s$add(app=my.app, name='googleVisTable') ## Open a browser window and display the web app s$browse('googleVisTable') @ \subsubsection{Using \googleVis with \shiny} Shiny\footnote{\url{http://www.rstudio.com/shiny/}} is a package by RStudio. Shiny makes it incredibly easy to build interactive web applications with R. With version 0.4.0 of \googleVis the support for \shiny ~\cite{shiny} apps has been added. Joe Cheng contributed the \texttt{renderGvis} function which allows users to use \googleVis output in \shiny in a similar way to other plotting functions. Note that \shiny version $\ge$ 0.4.0 is required. The following example has been taken from the help file of \texttt{renderGvis}. It displays a scatter chart where the user can select the data set to be displayed, see also the screen shot in Figure~\ref{fig:shiny}. <>= # server.R library(googleVis) shinyServer(function(input, output) { datasetInput <- reactive({ switch(input$dataset, "rock" = rock, "pressure" = pressure, "cars" = cars) }) output$view <- renderGvis({ gvisScatterChart(datasetInput()) }) }) # ui.R shinyUI(pageWithSidebar( headerPanel("googleVis on Shiny"), sidebarPanel( selectInput("dataset", "Choose a dataset:", choices = c("rock", "pressure", "cars")) ), mainPanel( htmlOutput("view") ) )) @ \begin{figure}[ht] \centering \includegraphics[width=0.8\textwidth]{./figures/shiny.pdf} \caption{Screen shot a \shiny app with \googleVis output.} \label{fig:shiny} \end{figure} You can run the example locally with the following statement. <>= library(shiny) ## Version >= 0.4.0 required runApp(system.file("shiny/", package="googleVis")) @ Further examples have been published on Markus' blog: \url{http://www.magesblog.co.uk/search/label/shiny} \section{Using \googleVis with \knitr}\label{sec:knitr} Using \googleVis with \knitr\footnote{\url{http://yihui.name/knitr/}}~\cite{knitr} is a convenient way of creating interactive reproducible reports. The approach taken by \knitr is similar to Sweave, you can combine R code with text and formatting tags. However, \knitr can also export to HTML, which is required to embed \googleVis charts. To include \googleVis output into a \knitr document you have to set the chunk option \texttt{results} to \texttt{'asis'} and print the chart element only, as demonstrated in the following example: \begin{verbatim} ```{r results='asis'} M <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(width=550, height=450)) print(M, 'chart') ``` \end{verbatim} A little example was published in a blog post: \url{http://www.magesblog.co.uk/2012/05/interactive-reports-in-r-with-knitr-and.html} Version 0.3.2 of \googleVis introduced \texttt{'tag'} as a new argument to the plot function \texttt{plot.gvis}, see also page~\pageref{sec:Options}. This argument is by default set to \texttt{NULL} and can be set globally outside the plot function via \texttt{options()}. The argument \texttt{tag} influences the behaviour of the plot function. The \texttt{tag} parameter can be the same as for the print function \texttt{print.gvis}. Indeed, setting \texttt{options(gvis.plot.tag = 'chart')} will change the behaviour of plot to print, so \texttt{plot(x)} will no longer open a browser window, but produce the same output as \texttt{print(x, tag='chart')}, if \texttt{x} is a gvis-object. Hence, setting the option \texttt{gvis.plot.tag} in a \knitr markdown Rmd-file to \texttt{'chart'} will automatically turn all following plot statements into html output, see the example below and Figure~\ref{fig:markdown}. \begin{figure}[ht] \centering \includegraphics[width=0.7\textwidth]{./figures/MarkdownExample.pdf} \caption{Screen shot of the markdown example output} \label{fig:markdown} \end{figure} \begin{verbatim} # Markdown example with knitr and googleVis =========================================== This is a little Markdown example file. Set the googleVis options first. In this case change the behaviour of plot.gvis ```{r setOptions, message=FALSE} library(googleVis) op <- options(gvis.plot.tag='chart') ``` The following plot statements will automatically return the HTML required for the 'knitted' output. ## Combo chart ```{r ComboExample, results='asis', tidy=FALSE} ## Add the mean CityPopularity$Mean=mean(CityPopularity$Popularity) CC <- (CityPopularity, xvar='City', yvar=c('Mean', 'Popularity'), options=list(seriesType='bars', width=450, height=300, title='City Popularity', series='{0: {type:\"line\"}}')) plot(CC) ``` Example of gvisComboChart with R code shown above. ## Place two charts next to each other ```{r gvisMergeExample, results='asis', echo=FALSE} Geo <- gvisGeoChart(Exports, locationvar='Country', colorvar='Profit', options=list(height=300, width=350)) Tbl <- gvisTable(Exports, options=list(height=300, width=200)) plot(gvisMerge(Geo, Tbl, horizontal=TRUE)) `````` Example of a gvisGeoChart with gvisTable and R code hidden. ## Motion Chart ```{r MotionChartExample, results='asis', tidy=FALSE} M <- gvisMotionChart(Fruits, 'Fruit', 'Year', options=list(width=400, height=350)) plot(M) ``` Please note that the Motion Chart is only displayed when hosted on a web server, or is placed in a directory which has been added to the trusted sources in the [security settings of Macromedia] (http://www.macromedia.com/support/documentation/en/flashplayer/help/settings_manager04.html). See the googleVis package vignette for more details. ```{r resetOptions} ## Set options back to original options options(op) ``` \end{verbatim} Note that you can use the \texttt{options()} command in your \knitr file to switch between an interactive mode, where you are likely to experiment, via copying and pasting R code into the console and running \texttt{knit} on the whole file. A more comprehensive example is given in the help file to \texttt{?plot.gvis}. \section{Using \googleVis in presentations}\label{sec:presentations} The Google Chart Tools are designed for web pages, so it should be no surprise that it can be difficult or impossible to embed \googleVis output in traditional presentation software like MS PowerPoint\footnote{For MS PowerPoint on MS Windows the plug-in \href{http://skp.mvps.org/liveweb.htm}{liveweb} provides the functionality to insert web pages into a PowerPoint slide and refresh the pages real-time during slide show.}, Google Docs, OpenOffice Impress or Apple Keynote. The easiest way is to include screen shots into the slide with links to the live web pages. But this approach requires the presenter to switch between applications during her talk. This can be fun, but quite often it is not. An alternative would be to build the presentation as a web page itself. A popular approach here is the \texttt{slidify} package by Ramnath Vaidyanathan, \cite{slidify} that builds on the knitr Markdown approach of the previous section. An example of a \texttt{slidify} presentation is the \googleVis tutorial given at the useR! conference in 2013, \cite{googleVisTutorial}. \begin{figure}[h] \centering \includegraphics[width=0.5\textwidth]{./figures/googleVisTutorial2013.png} \caption{\googleVis tutorial at the useR! 2013 conference: \url{http://decastillo.github.io/googleVis_Tutorial}} \label{fig:slidify} \end{figure} Slidify provides a choice of different layout frameworks and syntax highlighting options. Additionally, slidify slides can be published from R online, e.g. on GitHub. % % \section{Using \googleVis with RStudio} % % RStudio is popular a free and open source integrated development environment % for R. With verion 0.98.441 RStudio introduced a viewer pane that allows users % to display HTML files within RStudio's IDE. % % \googleVis will use the Viewer pane in RStudio (version >= 0.98.441) % to display non-Flash charts by default. Flash charts and merged gvis-objects are % displayed in the default browser. The setting is controlled % via the option \texttt{googleVis.viewer}. By default it will have % the value of \texttt{getOption("viewer")}. % % Set \texttt{options("googleVis.viewer"=NULL)} and the googleVis % plot function will open all output in the standard browser. % \section{Beyond R} In this section we present ideas which go beyond the usual coding in R and are somewhat experimental. \subsection{Registering to catch events} Google visualisations can fire and receive events~\footnote{\url{http://code.google.com/apis/chart/interactive/docs/reference.html\#addlistener}}. It exposes the following two JavaScript methods: \begin{itemize} \item \texttt{google.visualization.events.trigger()} fires an event, \item \texttt{google.visualization.events.addListener()} listens for events. \end{itemize} Here is an example of registering to receive the selection event from the Google documentation: \begin{verbatim} var table = new google.visualization.Table(document.getElementById('table_div')); table.draw(data, options); google.visualization.events.addListener(table, 'select', selectHandler); function selectHandler() { alert('A table row was selected'); } \end{verbatim} We will only deal with this special case of a 'select' event of the 'addListner' method. This event is available for most visualisations and acts on user interactions, e.g. user selection clicks. The 'addListener' method expects JavaScript code, which can be embedded into a gvis-object via \texttt{options} as (undocumented) parameter \texttt{gvis.listener.jscode}. Here are some examples: Look up the selected item in Wikipedia: <>= jscode <- "window.open('http://en.wikipedia.org/wiki/' + data.getValue(chart.getSelection()[0].row,0)); " J1 <- gvisGeoMap(Exports, locationvar='Country', numvar='Profit', options=list(dataMode="regions", gvis.listener.jscode=jscode)) plot(J1) @ In the same way we can use the code in other charts, e.g. org- or line chart: <>= plot(gvisOrgChart(Regions, options=list(gvis.listener.jscode=jscode))) plot(gvisLineChart(Regions[,c(1,3)], options=list(gvis.listener.jscode=jscode))) @ In the following more advanced example the selected value of a table is displayed in a message box: <>= jscode <- " var sel = chart.getSelection(); var row = sel[0].row; var text = data.getValue(row,1); alert(text); " J2 <- gvisTable(Population, options=list(gvis.listener.jscode=jscode)) plot(J2) @ For more details see the \texttt{demo(EventListener)} and \href{https://developers.google.com/chart/interactive/docs/reference}{Google Charts Reference}. \section{Frequent ask questions -- FAQ} \subsection{Can I use googleVis output in PDF files?} No, not directly. The Google Charts API is designed for dynamic web output on your screen and not on paper. See also the section~\ref{sec:presentations}, page~\pageref{sec:presentations}, which covers how to use \googleVis in presentations. Note that this vignette uses screen shots to include examples of \googleVis charts. For further details see Google's online documentation on \href{https://developers.google.com/chart/interactive/docs/printing}{printing PNG charts}. \subsection{Can I change the colour of the bubbles in motion charts?} No, unfortunately not. The colours are set by the Google Charts API and cannot be changed by the user. \subsection{Can I change the icons in Maps?} No, not via \texttt{gvisMap}. However, you can upload your data to a Google Fusion Table and link it to a second table which defines the icons. See the Google Fusion Table support page for more details: \url{http://support.google.com/fusiontables/answer/2679986?hl=en} \subsection{Why can't I see motion charts when I open them from a local directory?} See section~\ref{sec:DisplayLocally} on page~\pageref{sec:DisplayLocally} \subsection{Why can't I see motion charts on my iPad/iPhone?} Motion charts (also geo maps and annotated time lines) are rendered in your browser using Flash, unlike most other charts which use HTML5. Unfortunately, Flash is not directly supported on iOS devices such as iPads and iPhones. \subsection{How can I set axes limits with googleVis?} Unfortunately, there are no arguments such as \texttt{ylim} and \texttt{xlim}. Instead, the Google Charts axes options are set via \texttt{hAxes} and \texttt{vAxes}, with h and v indicating the horizontal and vertical axis. More precisely, we have to set \texttt{viewWindowMode : 'explicit'} and set the \texttt{viewWindow} to the desired min and max values. Additionally, we have to wrap all of this in $[\{\}]$ brackets as those settings are sub-options of \texttt{h/vAxes}. There are also options \texttt{minValue} and \texttt{maxValue}, but they only allow you to extend the axes ranges. Here is a minimal example, setting the y-axis limits from 0 to 10: <>= library(googleVis) dat <- data.frame(x=LETTERS[1:10], y=c(0, 4, -2, 2, 4, 3, 8, 15, 10, 4)) area1 <- gvisAreaChart(xvar="x", yvar="y", data=dat, options=list(vAxes="[{viewWindowMode:'explicit', viewWindow:{min:0, max:10}}]", width=500, height=400, title="y-limits set from 0 to 10"), chartid="area1ylim") plot(area1) @ \subsection{How can I change the look and feel of the charts?} The charts have a lot of options which allow you to change the look and feel of the output, see the help files for more details. However, \googleVis provides only an interface to the Google Charts API. If you have specific questions to the charts then please join the Google Visualisation API newsgroup: \url{http://groups.google.com/group/google-visualization-api}. For frequent ask questions regarding the API check: \url{https://developers.google.com/chart/interactive/faq}. \subsection{Is it possible to use \googleVis in corporate work?} Review the Google Terms of Service (\url{https://developers.google.com/terms/}) and get in touch with your colleagues in IT / Legal. If in doubt contact Google directly. \subsection{Bugs and issues} Should you find any issues or bugs with googleVis, then please drop us a line or add them to our issues list: \url{https://github.com/mages/googleVis/issues} \subsection{Citation} Please cite R and \googleVis if you use it in your work or publications. 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0000051652 00000 n 0000054609 00000 n 0000054630 00000 n 0000055780 00000 n 0000055920 00000 n 0000055984 00000 n 0000056036 00000 n trailer << /Size 17 /Root 14 0 R /Info 1 0 R /ID [ <1f6c6bfdde08774528b6d3ebd908770b> <1f6c6bfdde08774528b6d3ebd908770b> ] >> startxref 56153 %%EOF googleVis/vignettes/googleVis.bib0000644000176200001440000002645713032142666016655 0ustar liggesusers @misc{JuiceAnalytics, Author = {Juice Inc. }, Date-Added = {2010-07-27 21:38:39 +0100}, Date-Modified = {2010-10-17 09:13:51 +0100}, Keywords = {Motion Chart}, Lastchecked = {2010/07/27}, Title = {Juice Analytics}, Howpublished = {\url{http://www.juiceanalytics.com/writing/better-know-visualization-motion-charts/}}, Year = {2010}} @Article{jsonlite, title = {The jsonlite Package: A Practical and Consistent Mapping Between JSON Data and R Objects}, author = {Jeroen Ooms}, journal = {arXiv:1403.2805}, year = {2014}, url = {http://arxiv.org/abs/1403.2805}, } @misc{GapminderData, Author = {Gapminder}, Date-Added = 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@article{RJournal:2011-2:GesmannCastillo, author = {Markus Gesmann and Diego de Castillo}, title = {{Using the Google Visualisation API with R}}, journal = {The R Journal}, year = 2011, volume = 3, number = 2, pages = {40--44}, month = {December}, url = {http://journal.r-project.org/archive/2011-2/RJournal_2011-2_Gesmann+de~Castillo.pdf} } @Manual{knitr, title = {knitr: A general-purpose package for dynamic report generation in R}, author = {Yihui Xie}, year = {2013}, note = {R package version 1.1}, url = {https://CRAN.R-project.org/package=knitr}, } @Manual{Rook, title = {Rook: Rook - a web server interface for R}, author = {Jeffrey Horner}, year = {2013}, note = {R package version 1.0-9}, url = {\url{https://CRAN.R-project.org/package=Rook}}, } @Manual{shiny, title = {shiny: Web Application Framework for R}, author = {{RStudio} and {Inc.}}, year = {2013}, note = {R package version 0.4.0}, url = {\url{http://www.rstudio.com/shiny/}}, } @Manual{slidify, title = {slidify: Generate reproducible html5 slides from R markdown}, author = {Ramnath Vaidyanathan}, year = {2012}, note = {R package version 0.3.3}, url = {http://ramnathv.github.com/slidify/}, } @Manual{googleVisTutorial, author = {Markus Gesmann and Diego de Castillo}, institution = {useR! 2013, University of Castilla-La Mancha, Albacete, Spain}, title = {googleVis Tutorial}, uowpublished = {\url{http://decastillo.github.io/googleVis_Tutorial}}, Year = {2013}, }googleVis/vignettes/Using_Roles_via_googleVis.Rmd0000644000176200001440000000420612737123564022006 0ustar liggesusers # Using Roles via googleVis Roles add the ability to pass columns for further processing downstream. Role columns must follow column they pertain to. Proper naming conventions must be observed. For example, roles fulfilling tooltip roles and must be called "foo.blah.tooltip". For more details see the [Google documentation](https://developers.google.com/chart/interactive/docs/roles). The following examples should help to illustrate the concept. ```{r setOptions, message=FALSE, echo=FALSE} library(googleVis) library(knitr) op <- options(gvis.plot.tag='chart') read_demo('Roles', 'googleVis') ``` The first example uses a data set that has the additional column `pop.html.tooltip` with the first 11 letters of the Latin alphabet. This column is mapped automatically as a tooltip when the user hovers over the chart point. ```{r Tooltip, results='asis', tidy=FALSE} ``` HTML code can be embedded into the tooltip as well, if the option isHtml is set to true. ```{r TooltipHTML, results='asis', tidy=FALSE} ``` Often it is helpful to highlight certain parts of the data. The Google API distinguishes between certainty and emphasis. In a similar way to above additional columns with boolean values have to be added to the data. ```{r CertaintyScopeEmphasis, results='asis', tidy=FALSE} ``` Using roles with column or bar charts has some specifics. Instead of 'emphasize' use 'style' to change the colours. ```{r ColumnChart, results='asis', tidy=FALSE} ``` ```{r TwoLines, results='asis', tidy=FALSE} ``` Setting the annotations style to 'line' allows adding little reference lines to the plot. ```{r VerticalReferenceLine, results='asis', tidy=FALSE} ``` Intervals help to add error bars, confidence levels, etc. Note that the options are set either via `interval` or `intervals`, if set to all intervals. The examples below give an indication of what can be achieved with intervals. For more details visit the Google [documentation](https://google-developers.appspot.com/chart/interactive/docs/gallery/intervals). ```{r Interval, results='asis', tidy=FALSE} ``` googleVis/vignettes/Using_googleVis_with_knitr.Rmd0000644000176200001440000000421612737123564022246 0ustar liggesusers # Markdown example with knitr and googleVis =========================================== This is a little Markdown example output. The Markdown source file is hosted on [GitHub](https://github.com/mages/googleVis/blob/master/vignettes/Using_googleVis_with_knitr.Rmd). Set the googleVis options first to change the behaviour of plot.gvis, so that only the chart component of the HTML file is written into the output file. ```{r setOptions, message=FALSE} library(googleVis) op <- options(gvis.plot.tag='chart') ``` The following plot statements will automatically return the HTML required for the 'knitted' output. ## Combo chart ```{r ComboExample, results='asis', tidy=FALSE} ## Add the mean CityPopularity$Mean=mean(CityPopularity$Popularity) CC <- gvisComboChart(CityPopularity, xvar='City', yvar=c('Mean', 'Popularity'), options=list(seriesType='bars', width=450, height=300, title='City Popularity', series='{0: {type:\"line\"}}')) plot(CC) ``` Example of gvisComboChart with R code shown above. ## Place two charts next to each other ```{r gvisMergeExample, results='asis', echo=FALSE} Geo <- gvisGeoChart(Exports, locationvar='Country', colorvar='Profit', options=list(height=300, width=350)) Tbl <- gvisTable(Exports, options=list(height=300, width=200)) plot(gvisMerge(Geo, Tbl, horizontal=TRUE)) `````` Example of a gvisGeoChart with gvisTable and R code hidden. ## Motion Chart ```{r MotionChartExample, results='asis', tidy=FALSE} M <- gvisMotionChart(Fruits, 'Fruit', 'Year', options=list(width=400, height=350)) plot(M) ``` Please note that the Motion Chart is only displayed when hosted on a web server, or if placed in a directory which has been added to the trusted sources in the [security settings of Macromedia] (http://www.macromedia.com/support/documentation/en/flashplayer/help/settings_manager04.html). See the googleVis package vignette for more details. ```{r resetOptions} ## Set options back to original options options(op) ``` googleVis/vignettes/googleVis_examples.Rmd0000644000176200001440000000776712737123564020553 0ustar liggesusers # googleVis examples =========================================== It may take a little while to load all charts. Please be patient. All charts require an Internet connection. These examples are taken from the googleVis demo. You can execute the demo via ```{r demo, eval=FALSE} library(googleVis) demo(googleVis) ``` For more details about the charts and further examples see the helpfiles of the individual googleVis function and review the [Google Charts API documentation](https://developers.google.com/chart/interactive/docs/gallery) and [Terms of Service](https://developers.google.com/terms). ## Line chart ```{r setOptions, message=FALSE, echo=FALSE} library(googleVis) library(knitr) op <- options(gvis.plot.tag='chart') read_demo('googleVis', 'googleVis') ``` ```{r testData, tidy=FALSE} ``` ```{r LineChart, results='asis', tidy=FALSE} ``` ### Line chart with two axis ```{r TwoAxis, results='asis', tidy=FALSE} ``` ## Bar chart ```{r BarChart, results='asis', tidy=FALSE} ``` ## Column chart ```{r ColumnChart, results='asis', tidy=FALSE} ``` ## Area chart ```{r AreaChart, results='asis', tidy=FALSE} ``` ## Stepped Area chart ```{r SteppedAreaChart, results='asis', tidy=FALSE} ``` ## Combo chart ```{r ComboChart, results='asis', tidy=FALSE} ``` ## Scatter chart ```{r ScatterChart, results='asis', tidy=FALSE} ``` ## Bubble chart ```{r BubbleChart, results='asis', tidy=FALSE} ``` ### Customizing Lines ```{r CustomizingLines, results='asis', tidy=FALSE} ``` ## Customizing points ```{r ScatterChartPoints, results='asis', tidy=FALSE} ``` ### Add edit button for on the fly customisation ```{r EditButton, results='asis', tidy=FALSE} ``` The same option is available for all other charts as well. ### A chart with many options set ```{r SettingOptions, results='asis', tidy=FALSE} ``` ## Candlestick chart ```{r CandlestickChart, results='asis', tidy=FALSE} ``` ## Pie chart ```{r PieChart, results='asis', tidy=FALSE} ``` ## Gauge ```{r Gauge, results='asis', tidy=FALSE} ``` ## Intensity Map ```{r IntensityMap, results='asis', tidy=FALSE} ``` ## Geo Chart ```{r GeoChart, results='asis', tidy=FALSE} ``` ### Example showing US data by state ```{r USStateData, results='asis', tidy=FALSE} ``` ### Show Hurricane Andrew (1992) storm track with markers ```{r GeoChartHurricaneAndrew, results='asis', tidy=FALSE} ``` ## Google Maps ```{r GoogleMapHurricaneAndrew, results='asis', tidy=FALSE} ``` ## Table ```{r Table, results='asis', tidy=FALSE} ``` Click on the column header to sort the rows ### Table with pages ```{r TableWithPages, results='asis', tidy=FALSE} ``` ## Org chart ```{r OrgChart, results='asis', tidy=FALSE} ``` Double click on a parent to collapse all its children. ## Tree Map ```{r TreeMap, results='asis', tidy=FALSE} ``` Left mouse-click to drill down, right mouse-click to move up a level. ## Annotation chart ```{r AnnotationChart, results='asis', tidy=FALSE} ``` ## Sankey chart ```{r SankeyChart, results='asis', tidy=FALSE} ``` ## Histogram ```{r Histogram, results='asis', tidy=FALSE} ``` ## Calendar chart ```{r CalendarChart, results='asis', tidy=FALSE} ``` ## Timeline chart ```{r Timeline, results='asis', tidy=FALSE} ``` ## Merging charts ```{r gvisMerge, results='asis', tidy=FALSE} ``` # Flash charts All the following charts require a Flash player. ## Motion chart ```{r MotionChart, results='asis', tidy=FALSE} ``` You can change some of displaying settings via the browser, e.g. the level of opacity of non-selected items, or the chart type. The state string from the 'Advanced' tab can be used to set those settings via R. Just copy and past the string from the browser into the argument state of the options list. Here is an example of a motion chart, with an initial line chart displayed. ```{r MotionChartSettings, results='asis', tidy=FALSE} ``` ## Geo Map ```{r GeoMap, results='asis', tidy=FALSE} ``` ## Annotated time line chart ```{r AnnotatedTimeLine, results='asis', tidy=FALSE} ``` googleVis/vignettes/mystyle.css0000644000176200001440000001001012737123564016442 0ustar liggesusers/* Based on mystyle.css by Winston Chang https://github.com/wch/R6/blob/master/vignettes/mystyle.css */ body { background-color: #fff; margin: 0 auto; max-width: 800px; float: center; margin-left: auto; margin-right: auto; overflow: visible; } body #header { clear: both; margin-bottom: 8px; border-bottom: 2px solid #999; font-size: 20px; padding: 2px 10px 2px 25px; } body #content { background-color: white; clear: both; float: left; overflow: visible; padding: 10px; border: 1px solid #BBBBBB; border-radius: 5px; width: 780px; } body #footer { background-color: #99BBDD; clear: both; float: left; margin: 8px 0; border: 1px solid #6688AA; border-radius: 5px; padding: 0 10px; width: 780px; } body .clear { clear: both; border-width: 0; margin: 0; visibility: hidden; } #TOC { clear: both; margin: 0 0 10px 10px; padding: 4px; width: 400px; border: 1px solid #CCCCCC; border-radius: 5px; background-color: #f6f6f6; font-size: 13px; line-height: 16px; } #TOC .toctitle { font-weight: bold; font-size: 15px; margin-left: 5px; } #TOC ul { padding-left: 40px; margin-left: -1.5em; margin-top: 5px; margin-bottom: 5px; } #TOC ul ul { margin-left: -2em; } #TOC li { line-height: 16px; } table { margin-left: 25px; border-width: 1px; border-spacing: 0px; border-style: outset; border-color: gray; border-collapse: collapse; } table th { border-width: 1px; padding: 5px; border-style: inset; border-color: #DDDDDD; background-color: white; } table td { border-width: 1px; border-style: inset; border-color: #DDDDDD; background-color: white; line-height: 18px; padding: 2px 5px; } p { margin-left: 15px; margin-bottom: 5px; } blockquote { background-color: #f6f6f6; padding: 13px; padding-bottom: 1px; } hr { border-style: solid; border: none; border-top: 1px solid #777; margin: 28px 0; } dl { margin-left: 0; } dl dd { margin-bottom: 13px; margin-left: 13px; } ul { margin-top: 0; } ul li { list-style: circle outside; } ul ul { margin-bottom: 0; } code { font-family: Consolas, Monaco, 'Courier New', monospace; color: #000; padding: 0px; } p > code, li > code { color: #333; border: 1px solid #ddd; border-radius: 3px; background-color: #f8f8f8; font-size: 80%; padding: 0px 2px; } pre { font-size: 12px; line-height: 16px; white-space: pre-wrap; /* Wrap long lines */ } pre.r { background-color: #F3F5F7; padding: 4px 10px; border: 1px solid #AEBDCC; border-radius: 5px; margin: 5px 5px 10px 20px; } img { background-color: #FFFFFF; padding: 2px; border: 1px solid #DDDDDD; border-radius: 3px; border: 1px solid #CCCCCC; box-shadow: 2px 2px 12px -5px #999999; margin: 0 5px; } body { font-family: "Open Sans", "Helvetica Neue", Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22px; } body #header { } h1 { margin-top: 0; font-size: 35px; line-height: 40px; } h2 { border-bottom: 2px solid #ccc; width: 85%; padding-top: 10px; font-size: 22px; } h3 { border-bottom: 2px solid #ccc; width: 75%; padding-top: 10px; font-size: 18px; } h4 { border-bottom: 1px solid #ccc; width: 60%; margin-left: 8px; font-size: 16px; } h5, h6 { border-bottom: 1px solid #ccc; width: 60%; margin-left: 15px; font-size: 16px; } a { color: #0033dd; text-decoration: none; } a:hover { color: #6666ff; } a:visited { color: #800080; } a:visited:hover { color: #BB00BB; } a[href^="http:"] { text-decoration: underline; } a[href^="https:"] { text-decoration: underline; } dl dt { font-weight: bold; } pre .operator, pre .paren { color: #888; } pre .literal { color: #990073; } pre .number { color: #0080C0; } pre .comment { color: #008000; font-style: italic } pre .keyword { color: #900; font-weight: bold } pre .identifier { color: #000; } pre .string { color: #b44; } googleVis/vignettes/Using_Trendlines_with_googleVis.Rmd0000644000176200001440000000170312737123564023224 0ustar liggesusers # Using Trendlines with googleVis A trendline is a line superimposed on a chart revealing the overall direction of the data. Google Charts can automatically generate trendlines for Scatter Charts, Bar Charts, Column Charts and Line Charts. For more details visit: https://developers.google.com/chart/interactive/docs/gallery/trendlines ```{r setOptions, message=FALSE, echo=FALSE} library(googleVis) library(knitr) op <- options(gvis.plot.tag='chart') read_demo('Trendlines', 'googleVis') ``` ## Linear trend line ```{r LinearTrend, results='asis', tidy=FALSE} ``` ## Exponential trend line with equation shown in legend ```{r ExponentialTrend, results='asis', tidy=FALSE} ``` ## Add trend line to column chart ```{r ColumnChartWithTrendline, results='asis', tidy=FALSE} ``` ## Changing labels in legend ```{r DifferentLabels, results='asis', tidy=FALSE} ``` googleVis/README.md0000644000176200001440000000675713032146527013511 0ustar liggesusers# googleVis [![Travis-CI Build Status](https://travis-ci.org/mages/googleVis.svg?branch=master)](https://travis-ci.org/mages/googleVis) [![CRAN\_Status\_Badge](http://www.r-pkg.org/badges/version/googleVis)](https://cran.r-project.org/package=googleVis/) ![downloads](http://cranlogs.r-pkg.org/badges/grand-total/googleVis) The googleVis package provides an interface between R and the [Google's charts tools](https://developers.google.com/chart/). It allows users to create web pages with interactive charts based on R data frames. Charts are displayed locally via the R HTTP help server. A modern browser with Internet connection is required and for some charts a Flash player. The data remains local and is not uploaded to Google. You find [examples](https://CRAN.R-project.org/package=googleVis/vignettes/googleVis_examples.html) of all googleVis function on [CRAN](https://cran.r-project.org/package=googleVis/). Perhaps the best known example is the [motion chart](http://mages.github.io/googleVis/WorldBank.html), popularised by [Hans Rosling](http://www.gapminder.org) in his [2006 TED talk](http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen). Please read [Google's Terms of Use](https://developers.google.com/terms/) before you start using the package. ## Installation You can install the stable version from [CRAN](https://cran.r-project.org/package=googleVis/): ```s install.packages('googleVis') ``` To install the current development version from github you need the [devtools package](https://cran.r-project.org/package=devtools/) and the other packages on which googleVis depends: ```s install.packages(c("devtools","jsonlite", "knitr", "shiny", "httpuv")) ``` To install googleVis run: ```s library(devtools) install_github("mages/googleVis") ``` ## Usage ```s library(googleVis) ?googleVis demo(googleVis) ``` See the googleVis package [vignettes](https://cran.r-project.org/package=googleVis/) for more details. For a brief introduction read the five page [R Journal article](https://journal.r-project.org/archive/2011-2/RJournal_2011-2_Gesmann+de~Castillo.pdf) and go through our [tutorial](http://decastillo.github.io/googleVis_Tutorial). More examples have been posted on Markus' [blog](http://lamages.blogspot.co.uk/search/label/googleVis). [Tutorial](http://decastillo.github.io/googleVis_Tutorial) [![Donate](https://www.paypal.com/en_GB/i/btn/btn_donate_LG.gif)](https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=HHPMW8TXCCRSC&lc=GB&item_name=googleVis¤cy_code=GBP&bn=PP%2dDonationsBF%3abtn_donate_SM%2egif%3aNonHosted) ## License This package is free and open source software, licensed under [GPL 2 or later](http://opensource.org/licenses/gpl-license). Creative Commons Licence
googleVis documentation by Markus Gesmann & Diego de Castillo is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. 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ÃG¦ˆ˜£PB-æG-ÞNñ•t¸´=<#1ůW?¿IÑz¢YgoogleVis/DESCRIPTION0000644000176200001440000000243413032171320013711 0ustar liggesusersPackage: googleVis Type: Package Title: R Interface to Google Charts Version: 0.6.2 Date: 2017-01-01 Authors@R: c(person("Markus", "Gesmann", role = c("aut", "cre"), email = "markus.gesmann@googlemail.com"), person("Diego", "de Castillo", role = "aut", email = "decastillo@gmail.com"), person("Joe", "Cheng", role = "ctb", email = "joe@rstudio.com")) Description: R interface to Google's chart tools, allowing users to create interactive charts based on data frames. Charts are displayed locally via the R HTTP help server. A modern browser with an Internet connection is required and for some charts a Flash player. The data remains local and is not uploaded to Google. Depends: R (>= 3.0.2) Imports: methods, jsonlite, utils Suggests: shiny (>= 0.4.0), httpuv (>= 1.2.0), knitr (>= 1.5), wbstats, data.table License: GPL (>= 2) URL: https://github.com/mages/googleVis#googlevis BugReports: https://github.com/mages/googleVis/issues LazyLoad: yes LazyData: yes VignetteBuilder: knitr RoxygenNote: 5.0.1 NeedsCompilation: no Packaged: 2017-01-01 09:36:48 UTC; mages Author: Markus Gesmann [aut, cre], Diego de Castillo [aut], Joe Cheng [ctb] Maintainer: Markus Gesmann Repository: CRAN Date/Publication: 2017-01-01 13:15:12 googleVis/THANKS0000644000176200001440000000761512737123564013146 0ustar liggesusersThanks to: o Google, who make the visualisation API available o All the guys behind www.gapminder.org and Hans Rosling for telling everyone that data is not boring o Sebastian Pérez Saaibi for his inspiring talk on 'Generator Tool for Google Motion Charts' at the R/RMETRICS conference 2010 o Henrik Bengtsson for providing the 'R.rsp: R Server Pages' package and his reviews and comments o Duncan Temple Lang for providing the 'RJSONIO' package o Deepayan Sarkar for showing us in the lattice package how to deal with lists of options o Paul Cleary for a bug report on the handling of months: Google date objects expect the months Jan.- Dec. as 0 - 11 and not 1 - 12. o Ben Bolker for comments on plot.gvis and the usage of temporary files o John Verzani for pointing out how to use the R http help server o Cornelius Puschmann and Jeffrey Breen for highlighting a dependency issue with RJONSIO version 0.7-1 o Manoj Ananthapadmanabhan and Anand Ramalingam for providing ideas and code to animate a Google Geo Map o Rahul Premraj for pointing out a rounding issue with Google Maps o Mike Silberbauer for an example showing how to shade the areas in annotated time line charts o Tony Breyal for providing instructions on changing the Flash security settings to display Flash charts locally o Alexander Holcroft for reporting a bug in gvisMotionChart when displaying data with special characters in column names o Pat Burns for pointing out typos in the vignette o Jason Pickering for providing a patch to allow for quarterly and weekly time dimensions to be displayed with gvisMotionChart o Oliver Jay and Wai Tung Ho for reporting an issue with one-row data sets o Erik Bülow for pointing out how to load the Google API via a secure connection o Sebastian Kranz for comments to enhance the argument list for gvisMotionChart to make it more user friendly o Sebastian Kranz and Wei Luo for providing ideas and code to improve the transformation of R data frames into JSON code o Sebastian Kranz for reporting a bug in version 0.3.0 o Leonardo Trabuco for helping to clarify the usage of the argument state in the help file of gvisMotionChart o Mark Melling for reporting an issue with jsDisplayChart and providing a solution o Joe Cheng for code contribution to make googleVis work with shiny o John Maindonald for reporting that the WorldBank demo didn't download all data, but only the first 12000 records. o Sebastian Campbell for reporting a typo in the Andrew and Stock data set and pointing out that the core charts, such as line charts accept also date variables for the x-axis. o John Maindonald for providing a simplified version of the WorldBank demo using the WDI package. o John Muschelli for suggesting to add hovervar as an additional argument to gvisGeoChart. o Jacqueline Buros for providing code to include formats parameter to gvisTable() o JJ Allaire for pointing out how to use the viewer pane in RStudio o Oliver Gjoneski and Ashton Trey Belew for patches on roles and tooltips o Yihui Xie for pointing out formatting issues of the markdown vignettes o John Taveras for reporting in gvisCheckCoreChartData o Paul Murrell for reporting an issue with setting width and height of googleVis charts o Kurt Hornik for pointing out issues with README.md o stanstrup for reporting an issue with gvisCoreChart o Jason Miller for highlighting that the column "% of World Population" in sample data set "Population" needed to be devided by 100 o Juuso Parkkinen for reporting a bug in gvisMotionChart o Nick Salkowski for suggestions to improve the documentation o Kurt Hornik for informing of CRAN and R changes o Sarang Brahme for comments on the documentation of gvisIntensityMap o Carsten Langer for reporting an issue with ordered factors googleVis/man/0000755000176200001440000000000013032146660012764 5ustar liggesusersgoogleVis/man/Exports.Rd0000644000176200001440000000100612737123564014725 0ustar liggesusers\name{Exports} \alias{Exports} \docType{data} \title{ Exports: googleVis example data set } \description{ Example data set to illustrate the use of the googleVis package. } \usage{data(Exports)} \format{ A data frame with 10 observations on the following 3 variables. \describe{ \item{\code{Country}}{a factor with levels \code{Brazil}, \code{Germany} ...} \item{\code{Profit}}{a numeric vector} \item{\code{Online}}{a logical vector} } } \examples{ data(Exports) str(Exports) } \keyword{datasets} googleVis/man/Andrew.Rd0000644000176200001440000000321212737123564014502 0ustar liggesusers\name{Andrew} \alias{Andrew} \docType{data} \title{ Hurricane Andrew: googleVis example data set } \description{ Hurricane Andrew storm path from 16 August to 28 August 1992 } \usage{data(Andrew)} \format{ A data frame with 47 observations on the following 8 variables. \describe{ \item{\code{Date/Time UTC}}{a POSIXct} \item{\code{Lat}}{a numeric vector} \item{\code{Long}}{a numeric vector} \item{\code{Pressure_mb}}{a numeric vector} \item{\code{Speed_kt}}{a numeric vector} \item{\code{Category}}{a factor with levels \code{Hurricane} \code{Tropical Depression} \code{Tropical Storm}} \item{\code{LatLong}}{a character vector} \item{\code{Tip}}{a character vector} } } %%\details{ %% ~~ If necessary, more details than the __description__ above ~~ %%} \source{ National Hurricane Center: \url{http://www.nhc.noaa.gov/1992andrew.html} } %%\references{ %% ~~ possibly secondary sources and usages ~~ %%} \examples{ data(Andrew) AndrewGeoMap <- gvisGeoMap(Andrew, locationvar='LatLong', numvar='Speed_kt', hovervar='Category', options=list(width=800,height=400, region='US', dataMode='Markers')) AndrewMap <- gvisMap(Andrew, 'LatLong' , 'Tip', options=list(showTip=TRUE, showLine=TRUE, enableScrollWheel=TRUE, mapType='hybrid', useMapTypeControl=TRUE, width=800,height=400)) AndrewTable <- gvisTable(Andrew,options=list(width=800)) ## Combine the outputs into one page: AndrewVis <- gvisMerge(AndrewGeoMap, AndrewMap) plot(AndrewVis) } \keyword{datasets} googleVis/man/gvisCandlestickChart.Rd0000644000176200001440000000703312737123564017366 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisCoreCharts.R \name{gvisCandlestickChart} \alias{gvisCandlestickChart} \title{Google Candlestick chart with R \Sexpr{googleChartName <- "candlestickchart"} \Sexpr{gvisChartName <- "gvisCandlestickChart"}} \usage{ gvisCandlestickChart(data, xvar = "", low = "", open = "", close = "", high = "", options = list(), chartid) } \arguments{ \item{data}{a \code{\link{data.frame}} to be displayed as a candlestick chart. The data has to have at least 5 columns.} \item{xvar}{name of the character column which contains the category labels for the x-axes.} \item{low}{name of the numeric column specifying the low/minimum value of this marker. This is the base of the candle's center line.} \item{open}{name of the numeric column specifying the opening/initial value of this marker. This is one vertical border of the candle. If less than the \code{close} value, the candle will be filled; otherwise it will be hollow.} \item{close}{name of the numeric column specifying the closing/final value of this marker. This is the second vertical border of the candle. If less than the \code{open} value, the candle will be hollow; otherwise it will be filled.} \item{high}{name of the numeric column specifying the high/maximum value of this marker. This is the top of the candle's center line.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ An interactive candlestick chart. } \details{ The gvisCandlestickChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. The actual chart is rendered by the web browser using SVG or VML. A candlestick chart is used to show an opening and closing value overlaid on top of a total variance. Candlestick charts are often used to show stock value behavior. In this chart, items where the opening value is less than the closing value (a gain) are drawn as filled boxes, and items where the opening value is more than the closing value (a loss) are drawn as hollow boxes. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires an internet ## connection to display the visualisation. ## Example data set OpenClose C1 <- gvisCandlestickChart(OpenClose, xvar="Weekday", low="Low", open="Open", close="Close", high="High", options=list(legend='none')) plot(C1) } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods } \keyword{iplot} googleVis/man/googleVis-package.Rd0000644000176200001440000000227212737123564016616 0ustar liggesusers\name{googleVis-package} \alias{googleVis-package} \alias{googleVis} \docType{package} \title{ R Interface to Google Charts } \description{ R interface to Google Charts API, allowing users to create interactive charts based on data frames. Charts are displayed locally via the R HTTP help server. A modern browser with Internet connection is required and for some charts Flash. The data remains local and is not uploaded to Google. Please visit the project web site for more information: \url{http://github.com/mages/googleVis}. You find further notes on Markus' blog: \url{http://www.magesblog.com/search/label/googleVis} } %\details{ % } \author{ Markus Gesmann, Diego de Castillo } \note{ See \code{vignette("googleVis")} for an introduction to the \code{googleVis} package. } \references{ \itemize{ \item Google Charts API: \url{https://developers.google.com/chart/} \item Google Terms of Use: \url{https://developers.google.com/terms/} \item Google Maps API Terms of Service: \url{https://developers.google.com/maps/terms} } } \examples{ \dontrun{ demo(googleVis) ## For other demos see demo(package='googleVis') } } \keyword{ package } googleVis/man/gvisOrgChart.Rd0000644000176200001440000000615312737123564015673 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisOrgChart.R \name{gvisOrgChart} \alias{gvisOrgChart} \title{Google Org Chart with R \Sexpr{googleChartName <- "orgchart"} \Sexpr{gvisChartName <- "gvisOrgChart"}} \usage{ gvisOrgChart(data, idvar = "", parentvar = "", tipvar = "", options = list(), chartid) } \arguments{ \item{data}{a \code{data.frame}. The data has to have at least three columns. Each row in the data table describes one node (a rectangle in the graph). Each node (except the root node) has one or more parent nodes. Each node is sized and colored according to its values relative to the other nodes currently shown.} \item{idvar}{column name of \code{data} describing the ID for each node. It should be unique among all nodes, and can include any characters, including spaces. This is shown on the node. You can specify a formatted value to show on the chart instead, but the unformatted value is still used as the ID.} \item{parentvar}{column name of \code{data} that match to entries in \code{idvar}. If this is a root node, leave this \code{NA}. Only one root is allowed.} \item{tipvar}{column name of \code{data} for the tip variable. Tool-tip text to show, when a user hovers over this node.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ An organizational chart that supports selection. } \details{ The gvisOrgChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. The actual chart is rendered by the web browser. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires Internet ## connection to display the visualisation. Regions Org1 <- gvisOrgChart(Regions, idvar = "Region", parentvar = "Parent", tipvar="Val") plot(Org1) ## Set a few options Org2 <- gvisOrgChart(Regions, idvar = "Region", parentvar = "Parent", tipvar="Val", options=list(width=600, height=400, size='large', allowCollapse=TRUE)) plot(Org2) } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods. } \keyword{iplot} googleVis/man/gvisAnnotationChart.Rd0000644000176200001440000001561012737123564017254 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisAnnotationChart.R \name{gvisAnnotationChart} \alias{gvisAnnotationChart} \title{Google Annotation Chart with R \Sexpr{googleChartName <- "annotationchart"} \Sexpr{gvisChartName <- "gvisAnnotationChart"}} \usage{ gvisAnnotationChart(data, datevar = "", numvar = "", idvar = "", titlevar = "", annotationvar = "", date.format = "\%Y/\%m/\%d", options = list(), chartid) } \arguments{ \item{data}{a \code{data.frame}. The data has to have at least two columns, one with date information (\code{datevar}) and one numerical variable.} \item{datevar}{column name of \code{data} which shows the date dimension. The information has to be of class \code{\link{Date}} or \code{POSIX*} time series.} \item{numvar}{column name of \code{data} which shows the values to be displayed against \code{datevar}. The information has to be \code{\link{numeric}}.} \item{idvar}{column name of \code{data} which identifies different groups of the data. The information has to be of class \code{\link{character}} or \code{\link{factor}}.} \item{titlevar}{column name of \code{data} which shows the title of the annotations. The information has to be of class \code{\link{character}} or \code{\link{factor}}. Missing information can be set to \code{NA}. See section 'Details' for more details.} \item{annotationvar}{column name of \code{data} which shows the annotation text. The information has to be of class \code{\link{character}} or \code{\link{factor}}. Missing information can be set to \code{NA}. See section 'Details' for more details.} \item{date.format}{if \code{datevar} is of class \code{\link{Date}} then this argument specifies how the dates are reformatted to be used by JavaScript.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}.} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ gvisAnnotationChart charts are interactive time series line charts that support annotations. Unlike the gvisAnnotatedTimeLine, which uses Flash, annotation charts are SVG/VML and should be preferred whenever possible. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires Internet ## connection to display the visualisation. data(Stock) Stock A1 <- gvisAnnotationChart(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list(displayAnnotations=TRUE, legendPosition='newRow', width=600, height=350) ) plot(A1) ## Two Y-axis A2 <- gvisAnnotationChart(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list(displayAnnotations=TRUE, width=600, height=350, scaleColumns='[0,1]', scaleType='allmaximized') ) plot(A2) ## Zoom into the time window, no Y-axis ticks A3 <- gvisAnnotationChart(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list( width=600, height=350, zoomStartTime=as.Date("2008-01-04"), zoomEndTime=as.Date("2008-01-05")) ) plot(A3) ## Colouring the area below the lines to create an area chart A4 <- gvisAnnotationChart(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list( width=600, height=350, fill=10, displayExactValues=TRUE, colors="['#0000ff','#00ff00']") ) plot(A4) ## Data with POSIXct datetime variable A5 <- gvisAnnotationChart(Andrew, datevar="Date/Time UTC", numvar="Pressure_mb", options=list(scaleType='maximized') ) plot(A5) \dontrun{ ## Plot Apple's monthly stock prices since 1984 ## Get current date d <- Sys.time() current.year <- format(d, "\%Y") current.month <- format(d, "\%m") current.day <- format(d, "\%d") ## Yahoo finance sets January to 00 hence: month <- as.numeric(current.month) - 1 month <- ifelse(month < 10, paste("0",month, sep=""), m) ## Get weekly stock prices from Apple Inc. tckr <- 'AAPL' yahoo <- 'http://ichart.finance.yahoo.com/table.csv' fn <- sprintf('\%s?s=\%s&a=08&b=7&c=1984&d=\%s&e=\%s&f=\%s&g=w&ignore=.csv', yahoo, tckr, month, current.day, current.year) ## Get data from Yahoo! Finance data <- read.csv(fn, colClasses=c("Date", rep("numeric",6))) AAPL <- reshape(data[,c("Date", "Close", "Volume")], idvar="Date", times=c("Close", "Volume"), timevar="Type", varying=list(c("Close", "Volume")), v.names="Value", direction="long") ## Calculate previous two years for zoom start time lyd <- as.POSIXlt(as.Date(d)) lyd$year <- lyd$year-2 lyd <- as.Date(lyd) aapl <- gvisAnnotationChart(AAPL, datevar="Date", numvar="Value", idvar="Type", options=list( colors="['blue', 'lightblue']", zoomStartTime=lyd, zoomEndTime=as.Date(d), legendPosition='newRow', width=600, height=400, scaleColumns='[0,1]', scaleType='allmaximized') ) plot(aapl) } } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods. Further see \code{\link{reshape}} for reshaping data, e.g. from a wide format into a long format. } \keyword{iplot} googleVis/man/gvisBarChart.Rd0000644000176200001440000000750012737123564015645 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisCoreCharts.R \name{gvisBarChart} \alias{gvisBarChart} \title{Google Bar Chart with R \Sexpr{googleChartName <- "barchart"} \Sexpr{gvisChartName <- "gvisBarChart"}} \usage{ gvisBarChart(data, xvar = "", yvar = "", options = list(), chartid) } \arguments{ \item{data}{a \code{\link{data.frame}} to be displayed as a bar chart} \item{xvar}{name of the character column which contains the category labels for the x-axes.} \item{yvar}{a vector of column names of the numerical variables to be plotted. Each column is displayed as a separate bar/column.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisBarChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. The actual chart is rendered by the web browser using SVG or VML. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires an internet ## connection to display the visualisation. df <- data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val2=c(23,12,32)) ## Bar chart Bar1 <- gvisBarChart(df, xvar="country", yvar=c("val1", "val2")) plot(Bar1) ## Stacked bar chart Bar2 <- gvisBarChart(df, xvar="country", yvar=c("val1", "val2"), options=list(isStacked=TRUE)) plot(Bar2) ## Add a customised title and change width of bars Bar3 <- gvisBarChart(df, xvar="country", yvar=c("val1", "val2"), options=list(title="Hello World", titleTextStyle="{color:'red',fontName:'Courier',fontSize:16}", bar="{groupWidth:'100\%'}")) plot(Bar3) \dontrun{ ## Change x-axis to percentages Bar4 <- gvisBarChart(df, xvar="country", yvar=c("val1", "val2"), options=list(hAxis="{format:'#,###\%'}")) plot(Bar4) ## The following example reads data from a Wikipedia table and displays ## the information in a bar chart. ## We use the readHMLTable function of the XML package to get the data library(XML) ## Get the data of the biggest ISO container companies from Wikipedia ##(table 3): df=readHTMLTable(readLines("http://en.wikipedia.org/wiki/Intermodal_freight_transport"))[[3]][,1:2] ## Rename the second column names(df)[2]="TEU capacity" ## The numbers are displayed with commas to separate thousands, so let's ## get rid of them: df[,2]=as.numeric(gsub(",", "", as.character(df[,2]))) ## Finally we can create a nice bar chart: Bar5 <- gvisBarChart(df, options=list( chartArea="{left:250,top:50,width:\\"50\%\\",height:\\"75\%\\"}", legend="bottom", title="Top 20 container shipping companies in order of TEU capacity")) plot(Bar5) } } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods } \keyword{iplot} googleVis/man/gvisTimeline.Rd0000644000176200001440000001024612737123564015726 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisTimeLine.R \name{gvisTimeline} \alias{gvisTimeline} \title{Google Timeline Chart with R \Sexpr{googleChartName <- "timeline"} \Sexpr{gvisChartName <- "gvisTimeline"}} \usage{ gvisTimeline(data, rowlabel = "", barlabel = "", start = "", end = "", options = list(), chartid) } \arguments{ \item{data}{data.frame that contains the data to be visualised} \item{rowlabel}{a string that referes to the column name in \code{data} for the row labels to be used} \item{barlabel}{a string that referes to the column name in \code{data} for the bar labels to be used} \item{start}{number, date or datetime for the start dates} \item{end}{number, date or datetime for the end dates} \item{options}{list of configuration options. The options are documented in detail by Google online: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ A timeline is a chart that depicts how a set of resources are used over time. One popular type of timeline is the Gantt chart. } \examples{ dat <- data.frame(Term=c("1","2","3"), President=c("Whasington", "Adams", "Jefferson"), start=as.Date(x=c("1789-03-29", "1797-02-03", "1801-02-03")), end=as.Date(x=c("1797-02-03", "1801-02-03", "1809-02-03"))) tl <- gvisTimeline(data=dat[,-1], rowlabel="President", start="start", end="end") plot(tl) tl <- gvisTimeline(data=dat, barlabel="President", start="start", end="end") plot(tl) tl <- gvisTimeline(data=dat, rowlabel="President", start="start", end="end", options=list(timeline="{showRowLabels:false}")) plot(tl) dat <- data.frame(Position=c(rep("President", 3), rep("Vice", 3)), Name=c("Washington", "Adams", "Jefferson", "Adams", "Jefferson", "Burr"), start=as.Date(x=rep(c("1789-03-29", "1797-02-03", "1801-02-03"),2)), end=as.Date(x=rep(c("1797-02-03", "1801-02-03", "1809-02-03"),2))) tl <- gvisTimeline(data=dat, rowlabel="Name",barlabel="Position", start="start", end="end", options=list(timeline="{showRowLabels:true}")) plot(tl) tl <- gvisTimeline(data=dat, rowlabel="Name",barlabel="Position", start="start", end="end", options=list(timeline="{groupByRowLabel:false}", backgroundColor='#ffd', height=350, colors="['#cbb69d', '#603913', '#c69c6e']")) plot(tl) # Datetime example dat <- data.frame(Room=c("Room 1","Room 2","Room 3"), Language=c("English", "German", "French"), start=as.POSIXct(c("2014-03-14 14:00", "2014-03-14 15:00", "2014-03-14 14:30")), end=as.POSIXct(c("2014-03-14 15:00", "2014-03-14 16:00", "2014-03-14 15:30"))) tl <- gvisTimeline(data=dat, rowlabel="Language", start="start", end="end") plot(tl) \dontrun{ require(timeline) data(ww2) timeline(ww2, ww2.events, event.spots=2, event.label='', event.above=FALSE) ww2$Person <- gsub("\\\\n" ," ", ww2$Person) plot(gvisTimeline(ww2, barlabel="Person", rowlabel="Group", start="StartDate", end="EndDate", options=list(width=600, height=350)) ) } } \author{ Markus Gesmann \email{markus.gesmann@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \keyword{iplot} googleVis/man/gvisScatterChart.Rd0000644000176200001440000000750412737123564016552 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisCoreCharts.R \name{gvisScatterChart} \alias{gvisScatterChart} \title{Google Scatter Chart with R \Sexpr{googleChartName <- "scatterchart"} \Sexpr{gvisChartName <- "gvisScatterChart"}} \usage{ gvisScatterChart(data, options = list(), chartid) } \arguments{ \item{data}{a \code{\link{data.frame}} to be displayed as a scatter chart. Two or more columns are required, all must be numeric. The values in the first column are used for the X-axis. The values in following columns are used for the Y-axis. Each column is displayed with a separate color.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisScatterChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. The actual chart is rendered by the web browser using SVG or VML. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires an internet ## connection to display the visualisation. ## Scatter chart Scatter1 <- gvisScatterChart(women) plot(Scatter1) ## Using optional arguments Scatter2 <- gvisScatterChart(women, options=list(legend="none", lineWidth=2, pointSize=2, title="Women", vAxis="{title:'weight (lbs)'}", crosshair="{ trigger: 'both' }", hAxis="{title:'height (in)'}", width=500, height=400)) plot(Scatter2) df=data.frame(x=sin(1:100/3), Circle=cos(1:100/3), Ellipse=cos(1:100/3)*0.5) ## Plot several variables as smooth curves Scatter3 <- gvisScatterChart(df, options=list(curveType='function', pointSize=0, lineWidth=2)) plot(Scatter3) ## Two series in the same plot with different ## x-values df <- data.frame(x=c(2,2,1,3,4), y1=c(0,3,NA,NA,NA), y2=c(NA,NA,0,3,2)) Scatter4 <- gvisScatterChart(df, options=list(lineWidth=2, pointSize=2)) plot(Scatter4) ## Customize points M <- matrix(nrow=6,ncol=6) M[col(M)==row(M)] <- 1:6 dat <- data.frame(X=1:6, M) SC <- gvisScatterChart(dat, options=list( title="Customizing points", legend="right", pointSize=30, series="{ 0: { pointShape: 'circle' }, 1: { pointShape: 'triangle' }, 2: { pointShape: 'square' }, 3: { pointShape: 'diamond' }, 4: { pointShape: 'star' }, 5: { pointShape: 'polygon' } }")) plot(SC) } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods } \keyword{iplot} googleVis/man/gvisAnnotatedTimeLine.Rd0000644000176200001440000001774612761447362017542 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisAnnotatedTimeLine.R \name{gvisAnnotatedTimeLine} \alias{gvisAnnotatedTimeLine} \title{Google Annotated Time Line with R \Sexpr{googleChartName <- "annotatedtimeline"} \Sexpr{gvisChartName <- "gvisAnnotatedTimeLine"}} \usage{ gvisAnnotatedTimeLine(data, datevar = "", numvar = "", idvar = "", titlevar = "", annotationvar = "", date.format = "\%Y/\%m/\%d", options = list(), chartid) } \arguments{ \item{data}{a \code{data.frame}. The data has to have at least two columns, one with date information (\code{datevar}) and one numerical variable.} \item{datevar}{column name of \code{data} which shows the date dimension. The information has to be of class \code{\link{Date}} or \code{POSIX*} time series.} \item{numvar}{column name of \code{data} which shows the values to be displayed against \code{datevar}. The information has to be \code{\link{numeric}}.} \item{idvar}{column name of \code{data} which identifies different groups of the data. The information has to be of class \code{\link{character}} or \code{\link{factor}}.} \item{titlevar}{column name of \code{data} which shows the title of the annotations. The information has to be of class \code{\link{character}} or \code{\link{factor}}. Missing information can be set to \code{NA}. See section 'Details' for more details.} \item{annotationvar}{column name of \code{data} which shows the annotation text. The information has to be of class \code{\link{character}} or \code{\link{factor}}. Missing information can be set to \code{NA}. See section 'Details' for more details.} \item{date.format}{if \code{datevar} is of class \code{\link{Date}} then this argument specifies how the dates are reformatted to be used by JavaScript.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisAnnotatedTimeLine function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. } \details{ An annotated time line is an interactive time series line chart with optional annotations. The chart is rendered within the browser using Flash. } \section{Warnings}{ AnnotatedTimeline (gvisAnnotatedTimeLine) is Flash based, conisder using AnnotationChart (gvisAnnotationChart) instead. For more details visit: goo.gl/tkiEV8 Because of Flash security settings the chart might not work correctly when accessed from a file location in the browser (e.g., file:///c:/webhost/myhost/myviz.html) rather than from a web server URL (e.g. http://www.myhost.com/myviz.html). See the googleVis package vignette and the Macromedia web site (\url{http://www.macromedia.com/support/documentation/en/flashplayer/help/}) for more details. Important: To use this visualization, you must specify the height and width of the container element explicitly on your page. So, for example: options=list(width="600px", height="350px") Use code{\link{gvisAnnotationChart}} for a non-Flash version of this plot. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires Flash and Internet ## connection to display the visualisation. data(Stock) Stock A1 <- gvisAnnotatedTimeLine(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list(displayAnnotations=TRUE, legendPosition='newRow', width="600px", height="350px") ) plot(A1) ## Two Y-axis A2 <- gvisAnnotatedTimeLine(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list(displayAnnotations=TRUE, width="600px", height="350px", scaleColumns='[0,1]', scaleType='allmaximized') ) plot(A2) ## Zoom into the time window, no Y-axis ticks A3 <- gvisAnnotatedTimeLine(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list( width="600px", height="350px", zoomStartTime=as.Date("2008-01-04"), zoomEndTime=as.Date("2008-01-05")) ) plot(A3) ## Colouring the area below the lines to create an area chart A4 <- gvisAnnotatedTimeLine(Stock, datevar="Date", numvar="Value", idvar="Device", titlevar="Title", annotationvar="Annotation", options=list( width="600px", height="350px", fill=10, displayExactValues=TRUE, colors="['#0000ff','#00ff00']") ) plot(A4) ## Data with POSIXct datetime variable A5 <- gvisAnnotatedTimeLine(Andrew, datevar="Date/Time UTC", numvar="Pressure_mb", options=list(scaleType='maximized', width="600px", height="350px") ) plot(A5) \dontrun{ ## Plot Apple's monthly stock prices since 1984 ## Get current date d <- Sys.time() current.year <- format(d, "\%Y") current.month <- format(d, "\%m") current.day <- format(d, "\%d") ## Yahoo finance sets January to 00 hence: month <- as.numeric(current.month) - 1 month <- ifelse(month < 10, paste("0",month, sep=""), m) ## Get weekly stock prices from Apple Inc. tckr <- 'AAPL' yahoo <- 'http://ichart.finance.yahoo.com/table.csv' fn <- sprintf('\%s?s=\%s&a=08&b=7&c=1984&d=\%s&e=\%s&f=\%s&g=w&ignore=.csv', yahoo, tckr, month, current.day, current.year) ## Get data from Yahoo! Finance data <- read.csv(fn, colClasses=c("Date", rep("numeric",6))) AAPL <- reshape(data[,c("Date", "Close", "Volume")], idvar="Date", times=c("Close", "Volume"), timevar="Type", varying=list(c("Close", "Volume")), v.names="Value", direction="long") ## Calculate previous two years for zoom start time lyd <- as.POSIXlt(as.Date(d)) lyd$year <- lyd$year-2 lyd <- as.Date(lyd) aapl <- gvisAnnotatedTimeLine(AAPL, datevar="Date", numvar="Value", idvar="Type", options=list( colors="['blue', 'lightblue']", zoomStartTime=lyd, zoomEndTime=as.Date(d), legendPosition='newRow', width="600px", height="400px", scaleColumns='[0,1]', scaleType='allmaximized') ) plot(aapl) } } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods. Further see \code{\link{reshape}} for reshaping data, e.g. from a wide format into a long format. } \keyword{iplot} googleVis/man/gvisTreeMap.Rd0000644000176200001440000001746512737123564015527 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisTreeMap.R \name{gvisTreeMap} \alias{gvisTreeMap} \title{Google Tree Map with R \Sexpr{googleChartName <- "treemap"} \Sexpr{gvisChartName <- "gvisTreeMap"}} \usage{ gvisTreeMap(data, idvar = "", parentvar = "", sizevar = "", colorvar = "", options = list(), chartid) } \arguments{ \item{data}{a \code{data.frame}. The data has to have at least four columns. Each row in the data table describes one node (a rectangle in the graph). Each node (except the root node) has one or more parent nodes. Each node is sized and colored according to its values relative to the other nodes currently shown.} \item{idvar}{column name of \code{data} describing the ID for each node. It can be any valid JavaScript string, including spaces, and any length that a string can hold. This value is displayed as the node header.} \item{parentvar}{column name of \code{data} that match to entries in \code{idvar}. If this is a root node, leave this \code{NA}. Only one root is allowed per treemap.} \item{sizevar}{column name of \code{data} with positive values to define the size of maps. Any positive value is allowed. This value determines the size of the node, computed relative to all other nodes currently shown. This value is ignored for non-leaf nodes (it is actually calculated from the size of all its children).} \item{colorvar}{column name of \code{data} with values to define range of color. The value is used to calculate a color for this node. Any value, positive or negative, is allowed. The color value is first recomputed on a scale from \code{minColorValue} to \code{maxColorValue}, and then the node is assigned a color from the gradient between \code{minColor} and \code{maxColor}.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisTreeMap function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. The actual chart is rendered by the web browser. } \details{ A tree map is a visual representation of a data tree, where each node can have zero or more children, and one parent (except for the root, which has no parents). Each node is displayed as a rectangle, sized and colored according to values that you assign. Sizes and colors are valued relative to all other nodes in the graph. You can specify how many levels to display simultaneously, and optionally to display deeper levels in a hinted fashion. If a node is a leaf node, you can specify a size and color; if it is not a leaf, it will be displayed as a bounding box for leaf nodes. The default behavior is to move down the tree when a user left-clicks a node, and to move back up the tree when a user right-clicks the graph. The total size of the graph is determined by the size of the containing element that you insert in your page. If you have leaf nodes with names too long to show, the name will be truncated with an ellipsis (...). } \section{Warning }{ Tree maps display a tree like structure where every child has to have a unique parent. Values in column \code{sizevar} should be greater than zero and finite. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires Internet ## connection to display the visualisation. Tree <- gvisTreeMap(Regions, idvar="Region", parentvar="Parent", sizevar="Val", colorvar="Fac") plot(Tree) Tree2 <- gvisTreeMap(Regions, "Region", "Parent", "Val", "Fac", options=list(width=600, height=500, fontSize=16, minColor='#EDF8FB', midColor='#66C2A4', maxColor='#006D2C', headerHeight=20, fontColor='black', showScale=TRUE)) plot(Tree2) ## Simple static treemap with no drill down options based on US states ## and their area. However we still have to create a parent id to use ## gvisTreeMap require(datasets) states <- data.frame(state.name, state.area) ## Create parent variable total=data.frame(state.area=sum(states$state.area), state.name="USA") my.states <- rbind(total, states) my.states$parent="USA" ## Set parent variable to NA at root level my.states$parent[my.states$state.name=="USA"] <- NA my.states$state.area.log=log(my.states$state.area) statesTree <- gvisTreeMap(my.states, "state.name", "parent", "state.area", "state.area.log") plot(statesTree) ## We add US regions to the above data set to enable drill down capabilities states2 <- data.frame(state.region, state.name, state.area) regions <- aggregate(list(region.area=states2$state.area), list(region=state.region), sum) my.states2 <- data.frame(regionid=c("USA", as.character(regions$region), as.character(states2$state.name)), parentid=c(NA, rep("USA", 4), as.character(states2$state.region)), state.area=c(sum(states2$state.area), regions$region.area, states2$state.area)) my.states2$state.area.log=log(my.states2$state.area) statesTree2 <- gvisTreeMap(my.states2, "regionid", "parentid", "state.area", "state.area.log") plot(statesTree2) ## Now we add another layer with US divisions states3 <- data.frame(state.region, state.division, state.name, state.area) regions <- aggregate(list(region.area=states3$state.area), list(region=state.region), sum) divisions <- aggregate(list(division.area=states3$state.area), list(division=state.division, region=state.region), sum) my.states3 <- data.frame(regionid=c("USA", as.character(regions$region), as.character(divisions$division), as.character(states3$state.name)), parentid=c(NA, rep("USA", 4), as.character(divisions$region), as.character(states3$state.division)), state.area=c(sum(states3$state.area), regions$region.area, divisions$division.area, states3$state.area)) my.states3$state.area.log=log(my.states3$state.area) statesTree3 <- gvisTreeMap(my.states3, "regionid", "parentid", "state.area", "state.area.log") plot(statesTree3) } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods. Please note that the \code{treemap} package offeres a static version of tree maps via its \code{tmPlot} function. } \keyword{iplot} googleVis/man/dino.Rd0000644000176200001440000000075612737123564014225 0ustar liggesusers\name{dino} \alias{dino} \docType{data} \title{ Dinosaur data } \description{ Lenght of dinosaurs } \usage{data(dino)} \format{ A data frame with 28 observations on 2 variables, dinosaur and length. } %\details{ %% ~~ If necessary, more details than the __description__ above ~~ %} \source{ \url{https://developers.google.com/chart/interactive/docs/gallery/histogram} } %\references{ %% ~~ possibly secondary sources and usages ~~ %} \examples{ data(dino) str(dino) } \keyword{datasets} googleVis/man/gvisCalendar.Rd0000644000176200001440000000636212737123564015675 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisCalendar.R \name{gvisCalendar} \alias{gvisCalendar} \title{Google Calendar Chart with R \Sexpr{googleChartName <- "Calendar"} \Sexpr{gvisChartName <- "gvisCalendar"}} \usage{ gvisCalendar(data, datevar = "", numvar = "", options = list(), chartid) } \arguments{ \item{data}{a \code{data.frame}. The data has to have at least two columns, one with date information (\code{datevar}) and one numerical variable.} \item{datevar}{column name of \code{data} which shows the date dimension. The information has to be of class \code{\link{Date}} or \code{POSIX*} time series.} \item{numvar}{column name of \code{data} which shows the values to be displayed against \code{datevar}. The information has to be \code{\link{numeric}}.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}.} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ A calendar chart is a visualization used to show activity over the course of a long span of time, such as months or years. They're best used when you want to illustrate how some quantity varies depending on the day of the week, or how it trends over time. } \section{Warning}{ The calendar chart may be undergoing substantial revisions in future Google Charts releases. } \examples{ cl1 <- gvisCalendar(Cairo, datevar="Date", numvar="Temp") plot(cl1) ## Not all months shown? ## We can change the setting of the width ... cl2 <- gvisCalendar(Cairo, datevar="Date", numvar="Temp", options=list(width=1000)) plot(cl2) ## ... or the cell size cl3 <- gvisCalendar(Cairo, datevar="Date", numvar="Temp", options=list(calendar="{ cellSize: 10 }")) plot(cl3) ## Example with many options set cl4 <- gvisCalendar(Cairo, datevar="Date", numvar="Temp", options=list( title="Daily temperature in Cairo", height=320, calendar="{yearLabel: { fontName: 'Times-Roman', fontSize: 32, color: '#1A8763', bold: true}, cellSize: 10, cellColor: { stroke: 'red', strokeOpacity: 0.2 }, focusedCellColor: {stroke:'red'}}") ) plot(cl4) } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods. } \keyword{iplot} googleVis/man/renderGvis.Rd0000644000176200001440000000353212737123564015377 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/shiny.R \name{renderGvis} \alias{renderGvis} \title{renderGvis} \usage{ renderGvis(expr, env = parent.frame(), quoted = FALSE) } \arguments{ \item{expr}{An expression that returns a gvis object.} \item{env}{The environment in which to evaluate \code{expr}} \item{quoted}{Is \code{expr} a quoted expression (with \code{quote()})? This is useful if you want to save an expression in a variable.} } \value{ Returns a function that can be assigned to a Shiny \code{output} element. } \description{ This function lets you use googleVis charts as Shiny output. Use it to wrap a googleVis-generating function that you assign to an \code{output} element in \code{server.R}; then create an \code{htmlOutput} with the same name in \code{ui.R}. } \details{ Use a googleVis Chart as Shiny Output } \section{Details}{ More information about shiny is available online: \url{http://www.rstudio.com/shiny/}. You find further examples with googleVis on shiny on mages' blog: \url{http://lamages.blogspot.co.uk/search/label/shiny} } \examples{ \dontrun{ # To run this example: shiny::runApp(system.file("shiny/", package="googleVis")) # server.R library(googleVis) shinyServer(function(input, output) { datasetInput <- reactive({ switch(input$dataset, "rock" = rock, "pressure" = pressure, "cars" = cars) }) output$view <- renderGvis({ gvisScatterChart(datasetInput(), options=list(title=paste('Data:',input$dataset))) }) }) # ui.R shinyUI(pageWithSidebar( headerPanel("googleVis on Shiny"), sidebarPanel( selectInput("dataset", "Choose a dataset:", choices = c("rock", "pressure", "cars")) ), mainPanel( htmlOutput("view") ) )) } } \author{ Joe Cheng, \email{joe@rstudio.com} } \keyword{shiny} googleVis/man/gvisAreaChart.Rd0000644000176200001440000000557612737123564016024 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisCoreCharts.R \name{gvisAreaChart} \alias{gvisAreaChart} \title{Google Area Chart with R \Sexpr{googleChartName <- "areachart"} \Sexpr{gvisChartName <- "gvisAreaChart"}} \usage{ gvisAreaChart(data, xvar = "", yvar = "", options = list(), chartid) } \arguments{ \item{data}{a \code{\link{data.frame}} to be displayed as an area chart} \item{xvar}{name of the character column which contains the category labels for the x-axes.} \item{yvar}{a vector of column names of the numerical variables to be plotted. Each column is displayed as a separate line.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisAreaChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. } \details{ The area chart is rendered within the browser using SVG or VML and displays tips when hovering over points. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires an internet ## connection to display the visualisation. df=data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val2=c(23,12,32)) ## Area chart Area1 <- gvisAreaChart(df, xvar="country", yvar=c("val1", "val2")) plot(Area1) ## Stacked chart Area2 <- gvisAreaChart(df, xvar="country", yvar=c("val1", "val2"), options=list(isStacked=TRUE)) plot(Area2) ## Add a customised title Area3 <- gvisAreaChart(df, xvar="country", yvar=c("val1", "val2"), options=list(title="Hello World", titleTextStyle="{color:'red',fontName:'Courier',fontSize:16}")) plot(Area3) \dontrun{ ## Change y-axis to percentages Area3 <- gvisAreaChart(df, xvar="country", yvar=c("val1", "val2"), options=list(vAxis="{format:'#,###\%'}")) plot(Area3) } } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods } \keyword{iplot} googleVis/man/gvisColumnChart.Rd0000644000176200001440000000567512737123564016411 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisCoreCharts.R \name{gvisColumnChart} \alias{gvisColumnChart} \title{Google Column Chart with R \Sexpr{googleChartName <- "columnchart"} \Sexpr{gvisChartName <- "gvisColumnChart"}} \usage{ gvisColumnChart(data, xvar = "", yvar = "", options = list(), chartid) } \arguments{ \item{data}{a \code{\link{data.frame}} to be displayed as a column chart} \item{xvar}{name of the character column which contains the category labels for the x-axes.} \item{yvar}{a vector of column names of the numerical variables to be plotted. Each column is displayed as a separate bar/column.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisColumnChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. The actual chart is rendered by the web browser using SVG or VML. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires an internet ## connection to display the visualisation. df=data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val2=c(23,12,32)) ## Column chart Col1 <- gvisColumnChart(df, xvar="country", yvar=c("val1", "val2")) plot(Col1) ## Stacked column chart Col2 <- gvisColumnChart(df, xvar="country", yvar=c("val1", "val2"), options=list(isStacked=TRUE)) plot(Col2) ## Add a customised title and and change width of columns Col3 <- gvisColumnChart(df, xvar="country", yvar=c("val1", "val2"), options=list(title="Hello World", titleTextStyle="{color:'red',fontName:'Courier',fontSize:16}", bar="{groupWidth:'100\%'}")) plot(Col3) \dontrun{ ## Change y-axis to percentages Col4 <- gvisColumnChart(df, xvar="country", yvar=c("val1", "val2"), options=list(vAxis="{format:'#,###\%'}")) plot(Col4) } } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods } \keyword{iplot} googleVis/man/gvisGeoMap.Rd0000644000176200001440000001315412761447362015333 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisGeoMap.R \name{gvisGeoMap} \alias{gvisGeoMap} \title{Google Geo Map with R \Sexpr{googleChartName <- "geomap"} \Sexpr{gvisChartName <- "gvisGeoMap"}} \usage{ gvisGeoMap(data, locationvar = "", numvar = "", hovervar = "", options = list(), chartid) } \arguments{ \item{data}{\code{data.frame}. The data has to have at least two columns with location name (\code{locationvar}), value to be mapped to location (\code{numvar}) and an optional variable to display any text while the mouse hovers over the location (\code{hovervar}).} \item{locationvar}{column name of \code{data} with the geo locations to be analysed. The locations can be provide in two formats: \describe{ \item{Format 1}{'latitude:longitude'. See the example below.} \item{Format 2}{Address, country name, region name locations, or US metropolitan area codes, see \url{http://code.google.com/apis/adwords/docs/developer/adwords_api_us_metros.html}. This format works with the \code{dataMode} option set to either 'markers' or 'regions'. The following formats are accepted: A specific address (for example, "1600 Pennsylvania Ave"). A country name as a string (for example, "England"), or an uppercase ISO-3166 code or its English text equivalent (for example, "GB" or "United Kingdom"). An uppercase ISO-3166-2 region code name or its English text equivalent (for example, "US-NJ" or "New Jersey"). } }} \item{numvar}{column name of \code{data} with the numeric value displayed when the user hovers over this region.} \item{hovervar}{column name of \code{data} with the additional string text displayed when the user hovers over this region.} \item{options}{list of configuration options. The options are documented in detail by Google online: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisGeoMap function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. A geo map is a map of a country, continent, or region map, with colours and values assigned to specific regions. Values are displayed as a colour scale, and you can specify optional hover-text for regions. The map is rendered in the browser. Note that the map is not scroll-able or drag-gable, but can be configured to allow zooming. } \section{Warnings}{ GeoMap (gvisGeoMap) is Flash based, conisder using GeoChart (gvisGeoChart) instead. For more details visit: goo.gl/tkiEV8 Because of Flash security settings the chart might not work correctly when accessed from a file location in the browser (e.g., file:///c:/webhost/myhost/myviz.html) rather than from a web server URL (e.g. http://www.myhost.com/myviz.html). See the googleVis package vignette and the Macromedia web site (\url{http://www.macromedia.com/support/documentation/en/flashplayer/help/}) for more details. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires Internet ## connection to display the visualisation. ## Regions Example ## The regions style fills entire regions (typically countries) with colors ## corresponding to the values that you assign. Specify the regions style ## by assigning options['dataMode'] = 'regions' in your code. G1 <- gvisGeoMap(Exports, locationvar='Country', numvar='Profit', options=list(dataMode="regions")) plot(G1) ## Markers Example ## The "markers" style displays a circle, sized and colored to indicate ## a value, over the regions that you specify. G2 <- gvisGeoMap(CityPopularity, locationvar='City', numvar='Popularity', options=list(region='US', height=350, dataMode='markers', colors='[0xFF8747, 0xFFB581, 0xc06000]')) plot(G2) ## Example showing US data by state require(datasets) states <- data.frame(state.name, state.x77) G3 <- gvisGeoMap(states, "state.name", "Illiteracy", options=list(region="US", dataMode="regions", width=600, height=400)) plot(G3) ## Example with latitude and longitude information ## Show Hurricane Andrew (1992) storm track G4 <- gvisGeoMap(Andrew, locationvar="LatLong", numvar="Speed_kt", hovervar="Category", options=list(height=350, region="US", dataMode="markers")) plot(G4) ## World population WorldPopulation=data.frame(Country=Population$Country, Population.in.millions=round(Population$Population/1e6,0), Rank=paste(Population$Country, "Rank:", Population$Rank)) G5 <- gvisGeoMap(WorldPopulation, "Country", "Population.in.millions", "Rank", options=list(dataMode="regions", width=600, height=300)) plot(G5) } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \keyword{iplot} googleVis/man/Cairo.Rd0000644000176200001440000000103412737123564014317 0ustar liggesusers \name{Cairo} \alias{Cairo} \docType{data} \title{ Daily temperature data for Cairo } \description{ The average air temperature (C) in Cairo from 2002 to 2004. } \usage{data(Cairo)} \format{ A data frame with 1091 observations on the following 2 variables. \describe{ \item{\code{Date}}{calendar date} \item{\code{Temp}}{average temperatur in Celsius} } } %\details{ %} \references{ Wood, S.N. (2006) Generalized Additive Models: An Introduction with R } \examples{ data(Cairo) plot(gvisCalendar(Cairo)) } \keyword{datasets} googleVis/man/Fruits.Rd0000644000176200001440000000140712737123564014542 0ustar liggesusers\name{Fruits} \alias{Fruits} \docType{data} \title{ Fruits: googleVis example data set } \description{ Example data set to illustrate the use of the googleVis package. } \usage{data(Fruits)} \format{ A data frame with 9 observations on the following 7 variables. \describe{ \item{\code{Fruit}}{a factor with levels \code{Apples} \code{Bananas} \code{Oranges}} \item{\code{Year}}{a numeric vector} \item{\code{Location}}{a factor with levels \code{East} \code{West}} \item{\code{Sales}}{a numeric vector} \item{\code{Expenses}}{a numeric vector} \item{\code{Profit}}{a numeric vector} \item{\code{Date}}{a Date} } } \examples{ data(Fruits) M <- gvisMotionChart(Fruits, idvar="Fruit", timevar="Year") \dontrun{ plot(M) } } \keyword{datasets} googleVis/man/gvisHistogram.Rd0000644000176200001440000000520112737123564016110 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisHistogram.R \name{gvisHistogram} \alias{gvisHistogram} \title{Google Histogram Chart with R \Sexpr{googleChartName <- "histogram"} \Sexpr{gvisChartName <- "gvisHistogram"}} \usage{ gvisHistogram(data, options = list(), chartid) } \arguments{ \item{data}{a \code{\link{data.frame}} to be displayed as a histogram. Each column will be displayed as a histogram.} \item{options}{list of configuration options, see % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}.} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisHistogram function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. The actual chart is rendered by the web browser using SVG or VML. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires an internet ## connection to display the visualisation. hist1 <- gvisHistogram(dino) plot(hist1) ## Histogram of the top 20 countries pop <- Population[1:20,c("Country", "Population")] pop=transform(pop, Population=round(Population/1e6)) hist2 <- gvisHistogram(pop, option=list(title="Country Populations", legend="{ position: 'none' }", colors="['green']")) plot(hist2) set.seed(123) dat=data.frame(A=rpois(100, 20), B=rpois(100, 5), C=rpois(100, 50)) hist3 <- gvisHistogram(dat, options=list( legend="{ position: 'top', maxLines: 2 }", colors="['#5C3292', '#1A8763', '#871B47']")) plot(hist3) } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods } \keyword{iplot} googleVis/man/OpenClose.Rd0000644000176200001440000000171212737123564015154 0ustar liggesusers\name{OpenClose} \alias{OpenClose} \docType{data} \title{ OpenClose: googleVis example data set } \description{ Example data set to illustrate the use of the googleVis package. } \usage{data(OpenClose)} \format{ A data frame with 5 observations on the following 5 variables. \describe{ \item{\code{Weekday}}{a factor with levels \code{Fri} \code{Mon} \code{Thurs} \code{Tues} \code{Wed}} \item{\code{Low}}{a numeric vector} \item{\code{Open}}{a numeric vector} \item{\code{Close}}{a numeric vector} \item{\code{High}}{a numeric vector} } } %\details{ %% ~~ If necessary, more details than the __description__ above ~~ %%} \source{ Google Visualisation: Candlestick Chart \url{http://code.google.com/apis/chart/interactive/docs/gallery/candlestickchart.html} } %%\references{ %% ~~ possibly secondary sources and usages ~~ %%} \examples{ OpenClose plot(gvisCandlestickChart(OpenClose, options=list(legend='none'))) } \keyword{datasets} googleVis/man/CityPopularity.Rd0000644000176200001440000000151312737123564016265 0ustar liggesusers\name{CityPopularity} \alias{CityPopularity} \docType{data} \title{ CityPopularity: googleVis example data set } \description{ Example data set to illustrate the use of the googleVis package. } \usage{data(CityPopularity)} \format{ A data frame with 6 observations on the following 2 variables. \describe{ \item{\code{City}}{a factor with levels \code{Boston} \code{Chicago} \code{Houston} \code{Los Angeles} \code{Miami} \code{New York}} \item{\code{Popularity}}{a numeric vector} } } %%\details{ %% ~~ If necessary, more details than the __description__ above ~~ %%} \source{ Google Geo Map API: \url{https://google-developers.appspot.com/chart/interactive/docs/gallery/geomap.html} } %%\references{ %% ~~ possibly secondary sources and usages ~~ %} \examples{ data(CityPopularity) str(CityPopularity) } \keyword{datasets} googleVis/man/gvisMethods.Rd0000644000176200001440000002621712737123564015570 0ustar liggesusers\name{gvis Methods} \alias{print.gvis} \alias{plot.gvis} \title{ Print and plot gvis objects } \description{ Methods to print and plot \code{gvis} objects } \usage{ \method{print}{gvis}(x, tag=NULL, file = "", ...) \method{plot}{gvis}(x, tag=NULL,...) } \arguments{ \item{x}{ An object of class \code{gvis}, or a HTML file in case of plot.gvis. } \item{tag}{Default \code{NULL}. Name tag of the objects to be extracted from a gvis object. If tag is missing then the values of \code{getOption("gvis.print.tag")}, \code{getOption("gvis.plot.tag")} will be used for \code{print.gvis} and \code{plot.gvis} respectively. A complete list of available tags is given by the command \code{getOption("gvis.tags")}. The default value of \code{gvis.print.tag} is \code{"html"}, which means \code{print.gvis} will show a complete web page with the visualisation, while the tag \code{"chart"} will present the code for the visualisation chart only. For more information see the details section. The default tag for \code{plot.gvis.tag} is \code{NULL}, which will result in R opening a browser window, while any tag which is not \code{NULL} will give the same behaviour as \code{print.gvis}, e.g. \code{tag='chart'} or setting \code{options(gvis.plot.tag='chart')} will produce the same output as \code{print(x, tag='chart')}. This behaviour is particular helpful when googleVis is used in scripts, like \code{knitr} or \code{R.rsp}. The plot commands can be used initially in an interactive mode and with one change in \code{options()} produce the HTML output required for a programmatic run of the script. See the example section below for a \code{knitr} case study. \code{plot.gvis} ignores the argument \code{tag} it \code{x} is a HTML file name. } \item{file}{ file name. If "" (the default), output will be printed to the standard output connection, the console unless redirected by \code{\link{sink}}. } \item{\dots}{arguments passed on to \code{\link{cat}} (\code{print.gvis}) or \code{\link{browseURL}} (\code{plot.gvis}). } } \details{ An object of class "\code{gvis}" is a list containing at least the following components (tags): \describe{ \item{\code{type}}{Google visualisation type, e.g. 'MotionChart'} \item{\code{chartid}}{character id of the chart object. Unique chart ids are required to place several charts on the same page. } \item{\code{html}}{a list with the building blocks for a page \describe{ \item{\code{header}}{a character string of a html page header: \code{...},} \item{\code{chart}}{a named character vector of the chart's building blocks: \describe{ \item{\code{jsHeader}}{Opening \code{}. } \item{\code{jsChart}}{Call of the \code{jsDisplayChart} function. } \item{\code{divChart}}{\code{

} container to embed the chart into the page. } } } \item{\code{caption}}{character string of a standard caption, including data name and chart id. } \item{\code{footer}}{character string of a html page footer: \code{...}, including the used R and googleVis version and link to Google's Terms of Use.} } } } } \value{ \item{\code{print.gvis}}{ None (invisible \code{NULL}).} \item{\code{plot.gvis}}{Returns the file name invisibly.} } \references{ Please see also the package vignette for the usage of the googleVis package with RApache, brew, knitr and R.rsp. } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \note{ The \code{plot} command does not open a graphics device in the traditional way. Instead it creates HTML files in a temporary directory and uses the R HTTP server to display the output of a \code{googleVis} function locally. A browser with Flash and Internet connection is required. The displayed page includes a link (click on the chart id) to a further page, which shows the code of the chart for the user to copy and paste into her own page. % googleVis will use the Viewer pane in RStudio (version >= 0.98.441) % to display non-Flash charts by default. Flash charts and merged % gvis-objects are displayed in the default browser. % The setting is controlled via the option \code{googleVis.viewer}. % By default it will have the value of \code{getOption("viewer")}. % Set \code{options("googleVis.viewer"=NULL)} and the googleVis % plot function will open all output in the standard browser again. } %% ~Make other sections like Warning with \section{Warning }{....} ~ \seealso{ See also \code{\link{cat}}, \code{\link{browseURL}}, \code{\link{createGoogleGadget}} and \code{\link{gvisMerge}} for combining charts. } \examples{ ## Show gvis options sapply(c("gvis.print.tag", "gvis.plot.tag", "gvis.tags"), getOption) M <- gvisMotionChart(Fruits, "Fruit", "Year") str(M) ## The output for a complete web page M ## Access only the plot, M$html$chart ## wrap it in cat and it becomes more readable, cat(unlist(M$html$chart)) ## or use the print function. print(M, tag="chart") ## Extract the data as a JavaScript function. print(M, tag="jsData") ## Display the visualisation. ## A web browser with Internet connection and Flash is required. plot(M) ## Combine with another chart, e.g. table #tbl <- gvisTable(Fruits, options=list(height=220)) #Mtbl <- gvisMerge(M, tbl) #plot(Mtbl) ## Example of using googleVis with knitr and markdown \dontrun{ ## Simple knitr/markdown file with googleVis knitrRmd <-" # Markdown example with knitr and googleVis =========================================== This is a little Markdown example file. Set the googleVis options first. In this case change the behaviour of plot.gvis ```{r setOptions, message=FALSE} library(googleVis) op <- options(gvis.plot.tag='chart') ``` The following plot statements will automatically return the HTML required for the 'knitted' output. ## Combo chart ```{r ComboExample, results='asis', tidy=FALSE} ## Add the mean CityPopularity$Mean=mean(CityPopularity$Popularity) CC <- gvisComboChart(CityPopularity, xvar='City', yvar=c('Mean', 'Popularity'), options=list(seriesType='bars', width=450, height=300, title='City Popularity', series='{0: {type:\"line\"}}')) plot(CC) ``` Example of gvisComboChart with R code shown above. ## Place two charts next to each other ```{r gvisMergeExample, results='asis', echo=FALSE} Geo <- gvisGeoChart(Exports, locationvar='Country', colorvar='Profit', options=list(height=300, width=350)) Tbl <- gvisTable(Exports, options=list(height=300, width=200)) plot(gvisMerge(Geo, Tbl, horizontal=TRUE)) `````` Example of a gvisGeoChart with gvisTable and R code hidden. ## Motion Chart ```{r MotionChartExample, results='asis', tidy=FALSE} M <- gvisMotionChart(Fruits, 'Fruit', 'Year', options=list(width=400, height=350)) plot(M) ``` Please note that the Motion Chart is only displayed when hosted on a web server, or is placed in a directory which has been added to the trusted sources in the [security settings of Macromedia] (http://www.macromedia.com/support/documentation/en/flashplayer/help/settings_manager04.html). See the googleVis package vignette for more details. ```{r resetOptions} ## Set options back to original options options(op) ``` " ## Write the content of knitrRmd into a Rmd-file, knit it and convert it ## into a html output. Finally show the file with the R-help http ## server, this will ensure that also the motion chart is visible. library(knitr) library(markdown) wd <- getwd() setwd(tempdir()) fn=tempfile() fn.Rmd <- paste(fn, ".Rmd", sep="") fn.md <- paste(fn, ".md", sep="") fn.html <- paste(fn, "-out.html", sep="") ## Write R Markdown into a file cat(knitrRmd, file=fn.Rmd) render_markdown() knit(fn.Rmd, fn.md) knit2html(fn.md) ## Open output in browser ## Use plot.gvis which will use the R-help http server ## The URL will start with http://127.0.0.1... ## The HTML file will be copied into a temporary directory plot.gvis(fn.html) ## Compare to browseURL, its URL will start with file://... the motion ## chart is unlikely to be displayed because of Flash security ## settings. See the googleVis vignette for more details. browseURL(fn.html) setwd(wd) } \dontrun{ ## Updating the data of an existing googleVis web page ## Suppose you have an existing web page in which you embedded a ## motion chart with the id "mtnc". ## Now you have a new set of data, but you would like to avoid ## touching the html file again. ## The idea is to write the data and JavaScript functions into separate ## files and to refer to these in the html page. ## In this example we call the chart id "mtnc" ## To display the example we use the R HTTP server again, and ## write the files into a temp directory myChartID <- "mtnc" ## baseURL should reflect your web address, e.g. http://myHomePage.com baseURL <- sprintf("http://127.0.0.1:\%s/custom/googleVis", tools:::httpdPort) wwwdir <- tempdir() ## the www repository on your computer ## Create a motion chart M=gvisMotionChart(Fruits, "Fruit", "Year", chartid=myChartID) ## Here is our plot again plot(M) ## Write the data and functions into separate files: cat(M$html$chart['jsData'], file=file.path(wwwdir, "gvisData.js")) cat(M$html$chart[c('jsDrawChart', 'jsDisplayChart', 'jsChart')], file=file.path(wwwdir, "gvisFunctions.js")) ## Create a html page with reference to the above ## JavaScript files html <- sprintf('
', baseURL, baseURL, myChartID, myChartID) ## Write html scaffold into a file cat(html, file=file.path(wwwdir, paste("Chart", myChartID, ".html", sep=""))) ## Display the result via URL <- paste(baseURL,"/Chart", myChartID, ".html", sep="") browseURL(URL) ## Update the data, say the data should have shown North and South ## instead of East and West as a location FruitsUpdate <- Fruits levels(FruitsUpdate$Location)=c("North", "South") Mupdate=gvisMotionChart(FruitsUpdate, "Fruit", "Year", chartid=myChartID) ## Only update the file gvisData.js: cat(Mupdate$html$chart['jsData'], file=file.path(wwwdir, "gvisData.js")) ## Redisplay the chart with the updated data browseURL(URL) } } % Add one or more standard keywords, see file 'KEYWORDS' in the % R documentation directory. \keyword{ iplot } \keyword{ methods } \keyword{ print } googleVis/man/gvisMerge.Rd0000644000176200001440000001123612737123564015217 0ustar liggesusers\name{gvisMerge} \alias{gvisMerge} \title{ Merge two googleVis charts into one gvis-object } \description{ gvisMerge merges two gvis-objects, either next or below each other into one gvis-object. The objects are arranged in a HTML table. } \usage{ gvisMerge(x, y, horizontal = FALSE, tableOptions = "border=\"0\"", chartid) } \arguments{ \item{x}{a \code{gvis}-object. } \item{y}{a \code{gvis}-object. } \item{horizontal}{boolean. Default \code{FALSE}. If \code{FALSE} the two \code{gvis}-objects are arranged below each other, otherwise next to each other. } \item{tableOptions}{a valid HTML table option string. Default \code{"border=\"0\""}. } \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}} } } %\details{ %% ~~ If necessary, more details than the description above ~~ %} \value{ \code{gvisMerge} returns list of \code{\link{class}} "\code{gvis}" and "\code{list}". An object of class "\code{gvis}" is a list containing at least the following components: \item{\code{type}}{Google visualisation type, here 'gvisMerge'} \item{\code{chartid}}{character id of the chart object. Unique chart ids are required to place several charts on the same page. } \item{\code{html}}{a list with the building blocks for a page \describe{ \item{\code{header}}{a character string of a html page header: \code{...},} \item{\code{chart}}{a named character vector of the chart's building blocks: \describe{ \item{\code{jsHeader}}{Opening \code{}. } \item{\code{jsChart}}{Call of the \code{jsDisplayChart} function. } \item{\code{divChart}}{\code{
} container to embed the chart into the page. } } } \item{\code{caption}}{character string of a standard caption, including data name and chart id. } \item{\code{footer}}{character string of a html page footer: \code{...}, including the used R and googleVis version and link to Google's Terms of Use.} } } } \references{ Google Chart Tools API: \url{https://developers.google.com/chart/} Follow the link for Google's data policy. } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, } %%\note{ %% ~~further notes~~ %%} \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires Internet ## connection to display the visualisation. Pie1 <- gvisPieChart(CityPopularity) ## Doughnut chart - a pie with a hole Pie2 <- gvisPieChart(CityPopularity, options=list( slices="{4: {offset: 0.2}, 0: {offset: 0.3}}", title='City popularity', legend='none', pieSliceText='label', pieHole=0.5)) plot(gvisMerge(Pie2, Pie1, tableOptions = "cellspacing=\"20\" bgcolor=\"#AABBCC\"", horizontal=TRUE)) ## Nested charts G <- gvisGeoChart(Exports, "Country", "Profit", options=list(width=250, height=100)) T <- gvisTable(Exports, options=list(width=250, height=300)) GT <- gvisMerge(G,T, horizontal=FALSE) plot(GT) M <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(width=400, height=410)) GTM <- gvisMerge(GT, M, horizontal=TRUE, tableOptions="cellspacing=10") plot(GTM) line <- gvisLineChart(OpenClose, "Weekday", c("Open", "Close"), options=list(legend='none', width=300, height=150)) column <- gvisColumnChart(OpenClose, "Weekday", c("Open", "Close"), options=list(legend='none', width=300, height=150)) area <- gvisAreaChart(OpenClose, "Weekday", c("Open", "Close"), options=list(legend='none', width=300, height=150)) bar <- gvisBarChart(OpenClose, "Weekday", c("Open", "Close"), options=list(legend='none', width=300, height=150)) LBCA <- gvisMerge(gvisMerge(line, bar), gvisMerge(column, area), horizontal=TRUE, tableOptions="bgcolor=\"#AABBCC\"") plot(LBCA) ## Applying gvisMerge successively p <- Reduce(gvisMerge, list(line, column, area, bar)) plot(p) } \keyword{ aplot } googleVis/man/gvisBubbleChart.Rd0000644000176200001440000000750212737123564016336 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisBubbleChart.R \name{gvisBubbleChart} \alias{gvisBubbleChart} \title{Google Bubble Chart with R \Sexpr{googleChartName <- "bubblechart"} \Sexpr{gvisChartName <- "gvisBubbleChart"}} \usage{ gvisBubbleChart(data, idvar = "", xvar = "", yvar = "", colorvar = "", sizevar = "", options = list(), chartid) } \arguments{ \item{data}{a \code{\link{data.frame}} to be displayed as a bubble chart. The data has to have at least three columns for \code{idvar, xvar}, and \code{yvar}.} \item{idvar}{column name of \code{data} with the bubble} \item{xvar}{column name of a numerical vector in \code{data} to be plotted on the x-axis.} \item{yvar}{column name of a numerical vector in \code{data} to be plotted on the y-axis.} \item{colorvar}{column name of data that identifies bubbles in the same series. Use the same value to identify all bubbles that belong to the same series; bubbles in the same series will be assigned the same color. Series can be configured using the \code{series} option.} \item{sizevar}{values in this column are mapped to actual pixel values using the \code{sizeAxis} option.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}.} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisBubbleChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. } \details{ A bubble chart is used to visualize a data set with 2 to 4 dimensions. The first two dimensions are visualized as coordinates, the 3rd as color and the 4th as size. The bubble chart is rendered within the browser using SVG or VML and displays tips when hovering over points. } \examples{ bubble1 <- gvisBubbleChart(Fruits, idvar="Fruit", xvar="Sales", yvar="Expenses") plot(bubble1) ## Set color and size bubble2 <- gvisBubbleChart(Fruits, idvar="Fruit", xvar="Sales", yvar="Expenses", colorvar="Location", sizevar="Profit", options=list(hAxis='{minValue:75, maxValue:125}')) plot(bubble2) ## Use year to color the bubbles bubble3 <- gvisBubbleChart(Fruits, idvar="Fruit", xvar="Sales", yvar="Expenses", colorvar="Year", sizevar="Profit", options=list(hAxis='{minValue:75, maxValue:125}')) plot(bubble3) ## Gradient colour example bubble4 <- gvisBubbleChart(Fruits, idvar="Fruit", xvar="Sales", yvar="Expenses", sizevar="Profit", options=list(hAxis='{minValue:75, maxValue:125}', colorAxis="{colors: ['lightblue', 'blue']}")) plot(bubble4) \dontrun{ ## Moving bubble chart over time, aka motion chart M <- gvisMotionChart(Fruits, Fruit, Year) plot(M) } } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{gvisMotionChart}} for a moving bubble chart over time, and \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods. } \keyword{iplot} googleVis/man/Population.Rd0000644000176200001440000000163112737123564015417 0ustar liggesusers\name{Population} \alias{Population} \docType{data} \title{ Population: googleVis example data set } \description{ Example data set to illustrate the use of the googleVis package. } \usage{data(Population)} \format{ A data frame with 195 observations on the following 7 variables. \describe{ \item{\code{Rank}}{a numeric vector with population ranking} \item{\code{Country}}{country name as character} \item{\code{Population}}{population} \item{\code{\% of World Population}}{\% of world population} \item{\code{Flag}}{html image-tag to wikipedia with country flag} \item{\code{Mode}}{logical test vector} \item{\code{Date}}{date test vector} } } \source{ Sourced from Wikipedia (columns 1 to 5): \url{http://en.wikipedia.org/wiki/List_of_countries_by_population}, 9 October 2010. } \examples{ data(Population) tbl <- gvisTable(Population) \dontrun{ plot(tbl) } } \keyword{datasets} googleVis/man/gvisSteppedAreaChart.Rd0000644000176200001440000000603512737123564017340 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisCoreCharts.R \name{gvisSteppedAreaChart} \alias{gvisSteppedAreaChart} \title{Google Stepped Area Chart with R \Sexpr{googleChartName <- "steppedarechart"} \Sexpr{gvisChartName <- "gvisSteppedAreChart"}} \usage{ gvisSteppedAreaChart(data, xvar = "", yvar = "", options = list(), chartid) } \arguments{ \item{data}{a \code{\link{data.frame}} to be displayed as a stepped area chart.} \item{xvar}{name of the character column which contains the category labels for the x-axes.} \item{yvar}{a vector of column names of the numerical variables to be plotted. Each column is displayed as a separate line.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisSteppedAreaChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. } \details{ The stepped area chart is rendered within the browser using SVG or VML and displays tips when hovering over points. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires an internet ## connection to display the visualisation. df=data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val2=c(23,12,32)) ## Stepped Area chart SteppedArea1 <- gvisSteppedAreaChart(df, xvar="country", yvar=c("val1", "val2")) plot(SteppedArea1) ## Stacked chart SteppedArea2 <- gvisSteppedAreaChart(df, xvar="country", yvar=c("val1", "val2"), options=list(isStacked=TRUE)) plot(SteppedArea2) ## Add a customised title SteppedArea3 <- gvisSteppedAreaChart(df, xvar="country", yvar=c("val1", "val2"), options=list(title="Hello World", titleTextStyle="{color:'red',fontName:'Courier',fontSize:16}")) plot(SteppedArea3) \dontrun{ ## Change y-axis to percentages SteppedArea3 <- gvisSteppedAreaChart(df, xvar="country", yvar=c("val1", "val2"), options=list(vAxis="{format:'#,###\%'}")) plot(SteppedArea3) } } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods } \keyword{iplot} googleVis/man/gvisMap.Rd0000644000176200001440000000753012737123564014677 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisMap.R \name{gvisMap} \alias{gvisMap} \title{Google Maps with R \Sexpr{googleChartName <- "map"} \Sexpr{gvisChartName <- "gvisMap"}} \usage{ gvisMap(data, locationvar = "", tipvar = "", options = list(), chartid) } \arguments{ \item{data}{a \code{data.frame}. The data has to have at least two columns with location name (\code{locationvar}) and the variable to display the text in the tip icon (\code{tipvar}).} \item{locationvar}{column name of \code{data} with the geo locations to be analysed. The locations can be provide in two formats: \describe{ \item{Format 1}{'latitude:longitude'. See the example below.} \item{Format 2}{The first column should be a string that contains an address. This address should be as complete as you can make it. } }} \item{tipvar}{column name of \code{data} with the string text displayed over the tip icon.} \item{options}{list of configuration options for Google Map. % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisMap function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. } \details{ The maps are the well known Google Maps. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires Internet ## connection to display the visualisation. ## Example with latitude and longitude information ## Plot Hurricane Andrew (1992) storm path: data(Andrew) M1 <- gvisMap(Andrew, "LatLong" , "Tip", options=list(showTip=TRUE, showLine=TRUE, enableScrollWheel=TRUE, mapType='hybrid', useMapTypeControl=TRUE, width=800,height=400)) plot(M1) ## Example with address, here UK post-code and some html code in tooltip df <- data.frame(Postcode=c("EC3M 7HA", "EC2P 2EJ"), Tip=c("Lloyd's", "Guildhall")) M2 <- gvisMap(df, "Postcode", "Tip", options=list(showTip=TRUE, mapType='normal', enableScrollWheel=TRUE)) plot(M2) ## Change mapping icons M3 <- gvisMap(df, "Postcode", "Tip", options=list(showTip=TRUE, mapType='normal', enableScrollWheel=TRUE, icons=paste0("{", "'default': {'normal': 'http://icons.iconarchive.com/", "icons/icons-land/vista-map-markers/48/", "Map-Marker-Ball-Azure-icon.png',\\n", "'selected': 'http://icons.iconarchive.com/", "icons/icons-land/vista-map-markers/48/", "Map-Marker-Ball-Right-Azure-icon.png'", "}}"))) plot(M3) } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods, \code{\link{gvisGeoMap}} and \code{\link{gvisIntensityMap}} for an alternative to \code{gvisMap}. } \keyword{iplot} googleVis/man/Regions.Rd0000644000176200001440000000136212737123564014674 0ustar liggesusers\name{Regions} \alias{Regions} \docType{data} \title{ Regions: googleVis example data set } \description{ Example data set to illustrate the use of the googleVis package. } \usage{data(Regions)} \format{ A data frame with 11 observations on the following 4 variables. \describe{ \item{\code{Region}}{a factor with levels \code{America}, \code{Asia} ...} \item{\code{Parent}}{parent region identifier} \item{\code{Val}}{a numeric vector} \item{\code{Fac}}{a numeric vector} } } \examples{ data(Regions) Tree <- gvisTreeMap(Regions, "Region", "Parent", "Val", "Fac", options=list(width=600, height=500, showScale=TRUE, fontSize=16)) \dontrun{ plot(Tree) } } \keyword{datasets} googleVis/man/gvisMotionChart.Rd0000644000176200001440000001530612737123564016411 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisMotionChart.R \name{gvisMotionChart} \alias{gvisMotionChart} \title{Google Motion Chart with R \Sexpr{googleChartName <- "motionchart"} \Sexpr{gvisChartName <- "gvisMotionChart"}} \usage{ gvisMotionChart(data, idvar = "id", timevar = "time", xvar = "", yvar = "", colorvar = "", sizevar = "", date.format = "\%Y/\%m/\%d", options = list(), chartid) } \arguments{ \item{data}{a \code{data.frame}. The data has to have at least four columns with subject name (\code{idvar}), time (\code{timevar}) and two columns of numeric values. Further columns, numeric and character/factor are optional. The combination of \code{idvar} and \code{timevar} has to describe a unique row. The column names of the \code{idvar} and \code{timevar} have to be specified. Further columns, if not specified by the other arguments (\code{xvar, yvar, colorvar, sizevar}), will be assumed to be in the order of the arguments.} \item{idvar}{column name of \code{data} with the subject to be analysed.} \item{timevar}{column name of \code{data} which shows the time dimension. The information has to be either numeric, of class \code{\link{Date}} or a character which follows the pattern 'YYYYWww' (e.g. '2010W04' for weekly data) or 'YYYYQq' (e.g. '2010Q1' for quarterly data).} \item{xvar}{column name of a numerical vector in \code{data} to be plotted on the x-axis.} \item{yvar}{column name of a numerical vector in \code{data} to be plotted on the y-axis.} \item{colorvar}{column name of data that identifies bubbles in the same series. Use the same value to identify all bubbles that belong to the same series; bubbles in the same series will be assigned the same color. Series can be configured using the \code{series} option.} \item{sizevar}{values in this column are mapped to actual pixel values using the \code{sizeAxis} option.} \item{date.format}{if \code{timevar} is of class \code{\link{Date}} then this argument specifies how the dates are reformatted to be used by JavaScript.} \item{options}{list of configuration options for Google Motion Chart. The options are documented in detail by Google online: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisMotionChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. The actual chart is rendered by the web browser in Flash. A motion chart is a dynamic chart to explore several indicators over time. } \section{Warnings}{ Because of Flash security settings the chart might not work correctly when accessed from a file location in the browser (e.g., file:///c:/webhost/myhost/myviz.html) rather than from a web server URL (e.g. http://www.myhost.com/myviz.html). See the googleVis package vignette and the Macromedia web site (\url{http://www.macromedia.com/support/documentation/en/flashplayer/help/}) for more details. } \section{Note}{ Please note that a \code{timevar} with values less than 100 will be shown as years 19xx. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires Flash and Internet ## connection to display the visualisation. M1 <- gvisMotionChart(Fruits, idvar="Fruit", timevar="Year") plot(M1) \dontrun{ ## Usage of date variable M2 <- gvisMotionChart(Fruits, idvar="Fruit", timevar="Date", date.format = "\\\%Y\\\%m\\\%d") plot(M2) ## Display weekly data: M3 <- gvisMotionChart(Fruits, "Fruit", "Date", date.format="\\\%YW\\\%W") plot(M3) } ## Options: no side panel on the right M4 <- gvisMotionChart(Fruits,"Fruit", "Year", options=list(showSidePanel=FALSE)) plot(M4) ## Options: trails un-ticked M5 <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(state='{"showTrails":false};')) plot(M5) ## You can change some of displaying settings via the browser, ## e.g. the level of opacity of non-selected items, or the chart type. ## The state string from the 'Advanced' tab can be used to set those ## settings via R. Just copy and past the string from the browser into ## the argument state of the options list. ## Here is an example of a motion chart, with an initial line chart ## displayed. Ensure that you have a newline at the start and end of ## your settings string. myStateSettings <-' {"xZoomedDataMin":1199145600000,"colorOption":"2", "duration":{"timeUnit":"Y","multiplier":1},"yLambda":1, "yAxisOption":"4","sizeOption":"_UNISIZE", "iconKeySettings":[],"xLambda":1,"nonSelectedAlpha":0, "xZoomedDataMax":1262304000000,"iconType":"LINE", "dimensions":{"iconDimensions":["dim0"]}, "showTrails":false,"uniColorForNonSelected":false, "xAxisOption":"_TIME","orderedByX":false,"playDuration":15000, "xZoomedIn":false,"time":"2010","yZoomedDataMin":0, "yZoomedIn":false,"orderedByY":false,"yZoomedDataMax":100} ' M6a <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(state=myStateSettings)) plot(M6a) ## Newline set explicitly myStateSettings <-'\\n{"iconType":"LINE"}\\n' M6b <- gvisMotionChart(Fruits, "Fruit", "Year", options=list(state=myStateSettings)) plot(M6b) ## Define which columns are used for the initial setup of the various ## dimensions M7 <- gvisMotionChart(Fruits, idvar="Fruit", timevar="Year", xvar="Profit", yvar="Expenses", colorvar="Location", sizevar="Sales") plot(M7) ## For more information see: ## https://developers.google.com/chart/interactive/docs/gallery/motionchart ## See also the demo(WorldBank). It demonstrates how you can access ## country level data from the World Bank to create Gapminder-like ## plots. } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods. } \keyword{iplot} googleVis/man/gvisIntensityMap.Rd0000644000176200001440000000554012737123564016605 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisIntensityMap.R \name{gvisIntensityMap} \alias{gvisIntensityMap} \title{Google Intensity Map with R \Sexpr{googleChartName <- "intensitymap"} \Sexpr{gvisChartName <- "gvisIntensityMap"}} \usage{ gvisIntensityMap(data, locationvar = "", numvar = "", options = list(), chartid) } \arguments{ \item{data}{a \code{data.frame}. The data has to have at least two columns with location name (\code{locationvar}) and any number of numeric columns (\code{numvar}) to be mapped.} \item{locationvar}{column name of \code{data} with the geo locations to be analysed. The location has to contain country ISO codes or USA state codes.} \item{numvar}{column names of \code{data} with the numeric values to be displayed.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ An intensity map highlights regions or countries based on relative values. } \details{ The gvisIntensityMap function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. } \section{Note}{ Please note that the maximum height for this visualisation is 220 and the maximum width is 440. For more details see the Google documentation. % END DYNAMIC CONTENT } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires Internet ## connection to display the visualisation. df=data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val2=c(23,12,32)) Intensity1 <- gvisIntensityMap(df, locationvar="country", numvar=c("val1", "val2")) plot(Intensity1) ## Set colours for each tab Intensity2 <- gvisIntensityMap(df, options=list(colors="['#4682b4', '#0073CF']")) plot(Intensity2) } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods, \code{\link{gvisMap}} and \code{\link{gvisGeoMap}} for an alternative to \code{gvisIntensityMap}. } \keyword{iplot} googleVis/man/gvisTable.Rd0000644000176200001440000000650212737123564015207 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisTable.R \name{gvisTable} \alias{gvisTable} \title{Google Table Chart with R \Sexpr{googleChartName <- "table"} \Sexpr{gvisChartName <- "gvisTable"}} \usage{ gvisTable(data, options = list(), chartid, formats = NULL) } \arguments{ \item{data}{a \code{\link{data.frame}} to be displayed as a table} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} \item{formats}{named list. If \code{NULL} (default) no specific format will be used. The named list needs to contain the column names of the data and the specified format. The format string is a subset of the ICU pattern set. For instance, {pattern:'#,###\%'} will result in output values "1,000\%", "750\%", and "50\%" for values 10, 7.5, and 0.5.} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisTable function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. The actual chart is rendered by the web browser. } \details{ A table that can be sorted and paged. Table cells can be formatted using format strings, or by directly inserting HTML as cell values. Numeric values are right-aligned; boolean values are displayed as check marks. Users can select single rows either with the keyboard or the mouse. Users can sort rows by clicking on column headers. The header row remains fixed as the user scrolls. The table fires a number of events corresponding to user interaction. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires Flash and Internet ## connection to display the visualisation. ## Table with links to wikipedia (flags) tbl1 <- gvisTable(Population) plot(tbl1) ## Table with enabled paging tbl2 <- gvisTable(Population, options=list(page='enable', height='automatic', width='automatic')) plot(tbl2) ## Table with formating options tbl3 <- gvisTable(Population, formats=list(Population="#,###")) Population[['\% of World Population']] <- Population[['\% of World Population']]/100 tbl4 <- gvisTable(Population, formats=list(Population="#,###", '\% of World Population'='#.#\%')) plot(tbl4) } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods. } \keyword{iplot} googleVis/man/createGoogleGadget.Rd0000644000176200001440000000243312737123564017002 0ustar liggesusers\name{createGoogleGadget} \alias{createGoogleGadget} \title{ Create a Google Gadget } \description{ Create a Google Gadget based on a Google Visualisation Object } \usage{ createGoogleGadget(gvis) } \arguments{ \item{gvis}{an object of class 'gvis', e.g. output of a googleVis visualisation functions. } } %\details{ %% ~~ If necessary, more details than the description above ~~ %} \value{ createGoogleGadget returns a Google Gadget XML string. } \references{ For more information about Google Gadgets see: \url{https://developers.google.com/gadgets/} } \author{ Markus Gesmann } \note{ Google Gadgets can be embedded in various Google products, for example as part of a Google Code wiki page, Blogger or Google Sites. In all cases the XML gadget file has to be hosted online, e.g. using Google Docs. In Blogger the gadgets can be embedded via the design tab, and in a Google Sites via the menu "Insert" -> "More gadgets ..." -> "Add gadget ULR". In a Google Code wiki the gadget can be embedded via \code{} } \seealso{ See also as \code{\link{print.gvis}}, \code{\link{cat}} } \examples{ M <- gvisMotionChart(Fruits, idvar="Fruit", timevar="Year") gdgt <- createGoogleGadget(M) cat(gdgt) } \keyword{ intreface } googleVis/man/gvisComboChart.Rd0000644000176200001440000000622512737123564016203 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisCoreCharts.R \name{gvisComboChart} \alias{gvisComboChart} \title{Google Combo Chart with R \Sexpr{googleChartName <- "combochart"} \Sexpr{gvisChartName <- "gvisComboChart"}} \usage{ gvisComboChart(data, xvar = "", yvar = "", options = list(), chartid) } \arguments{ \item{data}{a \code{\link{data.frame}} to be displayed as a columns, line and area chart.} \item{xvar}{name of the character column which contains the category labels for the x-axes.} \item{yvar}{a vector of column names of the numerical variables to be plotted. Each column is displayed as a separate column, line or area series.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ A chart that lets you render each series as a different marker type from the following list: columns, lines, and area lines. } \details{ The gvisComboChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. The actual chart is rendered by the web browser using SVG or VML. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires an internet ## connection to display the visualisation. CityPopularity ## Add the mean CityPopularity$Mean=mean(CityPopularity$Popularity) C1 <- gvisComboChart(CityPopularity, xvar="City", yvar=c("Mean", "Popularity"), options=list(seriesType="bars", title="City Popularity", series='{0: {type:"line"}}')) plot(C1) ## Changing the width of columsn C2 <- gvisComboChart(CityPopularity, xvar="City", yvar=c("Mean", "Popularity"), options=list(seriesType="bars", bar="{groupWidth:'100\%'}", title="City Popularity", series='{0: {type:"line"}}')) plot(C2) } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods } \keyword{iplot} googleVis/man/Stock.Rd0000644000176200001440000000367112737123564014356 0ustar liggesusers\name{Stock} \alias{Stock} \docType{data} \title{ Stock: googleVis example data set } \description{ Example data set to illustrate the use of the googleVis package. } \usage{data(Stock)} \format{ A data frame with 12 observations on the following 5 variables. \describe{ \item{\code{Date}}{a Date} \item{\code{Device}}{a character vector} \item{\code{Value}}{a numeric vector} \item{\code{Title}}{a factor with levels \code{Bought pencils} \code{Out of stock}} \item{\code{Annotation}}{a factor with levels \code{Bought 200k pencils} \code{Ran of stock on pens at 4pm}} } } %%\details{ %% ~~ If necessary, more details than the __description__ above ~~ %%} \source{ Google Annotated Time Line API: \url{https://google-developers.appspot.com/chart/interactive/docs/gallery/annotatedtimeline.html} } %%\references{ %% ~~ possibly secondary sources and usages ~~ %%} \examples{ ## Create data as used by Google in their annotated time line example Date <- as.Date(paste("2008-1-", 1:6, sep="")) Pencils <- c(3000, 14045, 5502, 75284, 41476, 333222) Pencils.titles <-c(rep(NA,4), 'Bought pencils', NA) Pencils.annotation <-c(rep(NA,4), 'Bought 200k pencils', NA) Pens <- c(40645, 20374, 50766, 14334, 66467, 39463) Pens.titles <- c(rep(NA, 3), 'Out of stock', NA, NA) Pens.annotation <- c(rep(NA, 3), 'Ran of out stock of pens at 4pm', NA, NA) original.df=data.frame(Date, Pencils, Pencils.titles, Pencils.annotation, Pens, Pens.titles, Pens.annotation) Stock <- reshape(original.df, idvar="Date", times=c("Pencils", "Pens"), timevar="Device", varying=list(c("Pencils", "Pens"), c("Pencils.titles", "Pens.titles"), c("Pencils.annotation", "Pens.annotation")), v.names=c("Value", "Title", "Annotation"), direction="long") } \keyword{datasets} googleVis/man/gvisPieChart.Rd0000644000176200001440000000473112737123564015661 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisPieGaugeChart.R \name{gvisPieChart} \alias{gvisPieChart} \title{Google Pie Chart with R \Sexpr{googleChartName <- "piechart"} \Sexpr{gvisChartName <- "gvisPieChart"}} \usage{ gvisPieChart(data, labelvar = "", numvar = "", options = list(), chartid) } \arguments{ \item{data}{a \code{\link{data.frame}} to be displayed as a pie chart} \item{labelvar}{Name of the character column which contains the category labels for the slice labels.} \item{numvar}{a vector of column names of the numerical variables of the slice values.} \item{options}{list of configuration options for Google Pie Charts, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisPieChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. The actual chart is rendered by the web browser using SVG or VML. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires an internet ## connection to display the visualisation. Pie1 <- gvisPieChart(CityPopularity) plot(Pie1) ## Doughnut chart - a pie with a hole Pie2 <- gvisPieChart(CityPopularity, options=list( slices="{4: {offset: 0.2}, 0: {offset: 0.3}}", title='City popularity', legend='none', pieSliceText='label', pieHole=0.5)) plot(Pie2) } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods } \keyword{iplot} googleVis/man/gvisSankey.Rd0000644000176200001440000000512512737123564015412 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisSankey.R \name{gvisSankey} \alias{gvisSankey} \title{Google Sankey Chart with R \Sexpr{googleChartName <- "sankey"} \Sexpr{gvisChartName <- "gvisSankey"}} \usage{ gvisSankey(data, from = "", to = "", weight = "", options = list(), chartid) } \arguments{ \item{data}{data.frame that contains the data to be visualised} \item{from}{a string that referes to the column name in \code{data} for the source nodes to be used} \item{to}{a string that referes to the column name in \code{data} for the destination nodes to be used} \item{weight}{name of the column with the numerical weight of the connections} \item{options}{list of configuration options. The options are documented in detail by Google online: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ A sankey diagram is a visualization used to depict a flow from one set of values to another. The things being connected are called nodes and the connections are called links. They're named after Captain Sankey, who created a diagram of steam engine efficiency that used arrows having widths proportional to heat loss. } \section{Warning}{ The sankey chart may be undergoing substantial revisions in future Google Charts releases. } \examples{ dat <- data.frame(From=c(rep("A",3), rep("B", 3)), To=c(rep(c("X", "Y", "Z"),2)), Weight=c(5,7,6,2,9,4)) sk1 <- gvisSankey(dat, from="From", to="To", weight="Weight") plot(sk1) sk2 <- gvisSankey(dat, from="From", to="To", weight="Weight", options=list(sankey="{link: {color: { fill: '#d799ae' } }, node: { color: { fill: '#a61d4c' }, label: { color: '#871b47' } }}")) plot(sk2) } \author{ Markus Gesmann \email{markus.gesmann@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \keyword{iplot} googleVis/man/gvisGauge.Rd0000644000176200001440000000437412737123564015215 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisPieGaugeChart.R \name{gvisGauge} \alias{gvisGauge} \title{Google Gauge with R \Sexpr{googleChartName <- "gauge"} \Sexpr{gvisChartName <- "gvisGauge"}} \usage{ gvisGauge(data, labelvar = "", numvar = "", options = list(), chartid) } \arguments{ \item{data}{a \code{\link{data.frame}} to be displayed as a gauge} \item{labelvar}{name of the character column which contains the category labels for the slice labels.} \item{numvar}{a vector of column names of the numerical variables of the slice values.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisGauge function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. The actual chart is rendered by the web browser using SVG or VML. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires an internet ## connection to display the visualisation. Gauge1 <- gvisGauge(CityPopularity, options=list(min=0, max=800, greenFrom=500, greenTo=800, yellowFrom=300, yellowTo=500, redFrom=0, redTo=300)) plot(Gauge1) } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods } \keyword{iplot} googleVis/man/gvisGeoChart.Rd0000644000176200001440000001652512737123564015662 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisGeoChart.R \name{gvisGeoChart} \alias{gvisGeoChart} \title{Google Geo Chart with R \Sexpr{googleChartName <- "geochart"} \Sexpr{gvisChartName <- "gvisGeoChart"}} \usage{ gvisGeoChart(data, locationvar = "", colorvar = "", sizevar = "", hovervar = "", options = list(), chartid) } \arguments{ \item{data}{a \code{data.frame}. The data has to have at least one column with location name (\code{locationvar}), value to be mapped to location. The format of the data varies depending on which display mode that you use: Regions or Markers.} \item{locationvar}{column name of \code{data} with the geo locations to be analysed. The locations can be provide in two formats: \describe{ \item{Format 1}{'latitude:longitude'. See the example below.} \item{Format 2}{Address, country name, region name locations, or US metropolitan area codes, see \url{http://code.google.com/apis/adwords/docs/developer/adwords_api_us_metros.html}. This format works with the \code{dataMode} option set to either 'markers' or 'regions'. The following formats are accepted: A specific address (for example, "1600 Pennsylvania Ave"). A country name as a string (for example, "England"), or an uppercase ISO-3166 code or its English text equivalent (for example, "GB" or "United Kingdom"). An uppercase ISO-3166-2 region code name or its English text equivalent (for example, "US-NJ" or "New Jersey"). } }} \item{colorvar}{column name of \code{data} with the optional numeric column used to assign a color to this marker, based on the scale specified in the \code{colorAxis.colors} property. If this column is not present, all markers will be the same color. If the column is present, null values are not allowed. Values are scaled relative to each other, or absolutely to values specified in the \code{colorAxis.values} property.} \item{sizevar}{only used for \code{displayMode='markers'}. Column name of \code{data} with the optional numeric column used to assign the marker size, relative to the other marker sizes. If this column is not present, the value from the previous column will be used (or default `size, if no color column is provided as well). If the column is present, null valuesare not allowed.} \item{hovervar}{column name of \code{data} with the additional string text displayed when the user hovers over this region.} \item{options}{list of configuration options, see: % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisGeoChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. } \details{ A geo chart is a map of a country, a continent, or a region with two modes: The region mode colorizes whole regions, such as countries, provinces, or states. The marker mode marks designated regions using bubbles that are scaled according to a value that you specify. A geo chart is rendered within the browser using SVG or VML. Note that the map is not scrollable or draggable. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires Internet ## connection to display the visualisation. ## Regions examples ## The regions style fills entire regions (typically countries) with ## colors corresponding to the values that you assign G1a <- gvisGeoChart(Exports, locationvar='Country', colorvar='Profit') plot(G1a) ## Change projection G1b <- gvisGeoChart(Exports, locationvar='Country', colorvar='Profit', options=list(projection="kavrayskiy-vii")) plot(G1b) ## Plot only Europe G2 <- gvisGeoChart(Exports, "Country", "Profit", options=list(region="150")) plot(G2) ## Example showing US data by state require(datasets) states <- data.frame(state.name, state.x77) G3 <- gvisGeoChart(states, "state.name", "Illiteracy", options=list(region="US", displayMode="regions", resolution="provinces", width=600, height=400)) plot(G3) ## Markers Example ## A marker style map renders bubble-shaped markers at specified ## locations with the color and size that you specify. G4 <- gvisGeoChart(CityPopularity, locationvar='City', colorvar='Popularity', options=list(region='US', height=350, displayMode='markers', colorAxis="{values:[200,400,600,800], colors:[\\'red', \\'pink\\', \\'orange',\\'green']}") ) plot(G4) G5 <- gvisGeoChart(Andrew, "LatLong", colorvar='Speed_kt', options=list(region="US")) plot(G5) G6 <- gvisGeoChart(Andrew, "LatLong", sizevar='Speed_kt', colorvar="Pressure_mb", options=list(region="US")) plot(G6) ## Create lat:long values and plot a map of Oceania ## Set background colour to light-blue require(stats) data(quakes) head(quakes) quakes$latlong<-paste(quakes$lat, quakes$long, sep=":") G7 <- gvisGeoChart(quakes, "latlong", "depth", "mag", options=list(displayMode="Markers", region="009", colorAxis="{colors:['red', 'grey']}", backgroundColor="lightblue")) plot(G7) \dontrun{ # Plot S&P countries' credit rating sourced from Wikipedia # Use the hovervar to show the rating library(XML) url <- "http://en.wikipedia.org/wiki/List_of_countries_by_credit_rating" x <- readHTMLTable(readLines(url), which=3) levels(x$Rating) <- substring(levels(x$Rating), 4, nchar(levels(x$Rating))) x$Ranking <- x$Rating levels(x$Ranking) <- nlevels(x$Rating):1 x$Ranking <- as.character(x$Ranking) x$Rating <- paste(x$Country, x$Rating, sep=": ") #### Create a geo chart G8 <- gvisGeoChart(x, "Country", "Ranking", hovervar="Rating", options=list(gvis.editor="S&P", colorAxis="{colors:['#91BFDB', '#FC8D59']}")) plot(G8) ## Plot world wide earth quakes of the last 30 days with magnitude >= 4.0 library(XML) ## Get earthquake data of the last 30 days eq <- read.csv("http://earthquake.usgs.gov/earthquakes/feed/v0.1/summary/2.5_week.csv") eq$loc=paste(eq$Latitude, eq$Longitude, sep=":") G9 <- gvisGeoChart(eq, "loc", "Depth", "Magnitude", options=list(displayMode="Markers", colorAxis="{colors:['purple', 'red', 'orange', 'grey']}", backgroundColor="lightblue"), chartid="EQ") plot(G9) } } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods. } \keyword{iplot} googleVis/man/gvisLineChart.Rd0000644000176200001440000000734312737123564016035 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gvisCoreCharts.R \name{gvisLineChart} \alias{gvisLineChart} \title{Google Line Chart with R \Sexpr{googleChartName <- "linechart"} \Sexpr{gvisChartName <- "gvisLineChart"}} \usage{ gvisLineChart(data, xvar = "", yvar = "", options = list(), chartid) } \arguments{ \item{data}{a \code{\link{data.frame}} to be displayed as a line chart} \item{xvar}{name of the character column which contains the category labels for the x-axes.} \item{yvar}{a vector of column names of the numerical variables to be plotted. Each column is displayed as a separate line.} \item{options}{list of configuration options, see % START DYNAMIC CONTENT \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))}} \item{chartid}{character. If missing (default) a random chart id will be generated based on chart type and \code{\link{tempfile}}} } \value{ \Sexpr[results=rd]{paste(gvisChartName)} returns list of \code{\link{class}} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOutputStructure.txt")))} } \description{ The gvisLineChart function reads a data.frame and creates text output referring to the Google Visualisation API, which can be included into a web page, or as a stand-alone page. The actual chart is rendered by the web browser using SVG or VML. } \examples{ ## Please note that by default the googleVis plot command ## will open a browser window and requires an internet ## connection to display the visualisation. df <- data.frame(country=c("US", "GB", "BR"), val1=c(1,3,4), val2=c(23,12,32)) ## Line chart Line1 <- gvisLineChart(df, xvar="country", yvar=c("val1", "val2")) plot(Line1) ## Add a customised title and smoothed curve Line2 <- gvisLineChart(df, xvar="country", yvar=c("val1", "val2"), options=list(title="Hello World", titleTextStyle="{color:'red',fontName:'Courier',fontSize:16}", curveType='function')) plot(Line2) \dontrun{ ## Change y-axis to percentages Line3 <- gvisLineChart(df, xvar="country", yvar=c("val1", "val2"), options=list(vAxis="{format:'#,###\%'}")) plot(Line3) } ## Create a chart with two y-axis: Line4 <- gvisLineChart(df, "country", c("val1","val2"), options=list(series="[{targetAxisIndex: 0}, {targetAxisIndex:1}]", vAxes="[{title:'val1'}, {title:'val2'}]" )) plot(Line4) ## Line chart with edit button Line5 <- gvisLineChart(df, xvar="country", yvar=c("val1", "val2"), options=list(gvis.editor="Edit me!")) plot(Line5) ## Customizing lines Dashed <- gvisLineChart(df, xvar="country", yvar=c("val1","val2"), options=list( series="[{color:'green', targetAxisIndex: 0, lineWidth: 1, lineDashStyle: [2, 2, 20, 2, 20, 2]}, {color: 'blue',targetAxisIndex: 1, lineWidth: 2, lineDashStyle: [4, 1]}]", vAxes="[{title:'val1'}, {title:'val2'}]" )) plot(Dashed) } \author{ Markus Gesmann \email{markus.gesmann@gmail.com}, Diego de Castillo \email{decastillo@gmail.com} } \references{ Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))} % END DYNAMIC CONTENT } \seealso{ See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and plotting methods } \keyword{iplot}