ggsignif/0000755000176200001440000000000014322021665012050 5ustar liggesusersggsignif/NAMESPACE0000644000176200001440000000012614116411144013262 0ustar liggesusers# Generated by roxygen2: do not edit by hand export(geom_signif) export(stat_signif) ggsignif/LICENSE0000644000176200001440000010451314061606743013067 0ustar liggesusers GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc. Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. Preamble The GNU General Public License is a free, copyleft license for software and other kinds of works. The licenses for most software and other practical works are designed to take away your freedom to share and change the works. By contrast, the GNU General Public License is intended to guarantee your freedom to share and change all versions of a program--to make sure it remains free software for all its users. 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IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. 17. Interpretation of Sections 15 and 16. If the disclaimer of warranty and limitation of liability provided above cannot be given local legal effect according to their terms, reviewing courts shall apply local law that most closely approximates an absolute waiver of all civil liability in connection with the Program, unless a warranty or assumption of liability accompanies a copy of the Program in return for a fee. END OF TERMS AND CONDITIONS How to Apply These Terms to Your New Programs If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms. To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively state the exclusion of warranty; and each file should have at least the "copyright" line and a pointer to where the full notice is found. Copyright (C) This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. 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, see . Also add information on how to contact you by electronic and paper mail. If the program does terminal interaction, make it output a short notice like this when it starts in an interactive mode: Copyright (C) This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, your program's commands might be different; for a GUI interface, you would use an "about box". You should also get your employer (if you work as a programmer) or school, if any, to sign a "copyright disclaimer" for the program, if necessary. For more information on this, and how to apply and follow the GNU GPL, see . The GNU General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. But first, please read . ggsignif/man/0000755000176200001440000000000014314536767012642 5ustar liggesusersggsignif/man/ggsignif-package.Rd0000644000176200001440000000232114314536767016315 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/ggsignif-package.R \docType{package} \name{ggsignif-package} \alias{ggsignif} \alias{ggsignif-package} \title{ggsignif: Significance Brackets for 'ggplot2'} \description{ Enrich your 'ggplots' with group-wise comparisons. This package provides an easy way to indicate if two groups are significantly different. Commonly this is shown by a bracket on top connecting the groups of interest which itself is annotated with the level of significance (NS, *, **, ***). The package provides a single layer (geom_signif()) that takes the groups for comparison and the test (t.test(), wilcox.text() etc.) as arguments and adds the annotation to the plot. } \seealso{ Useful links: \itemize{ \item \url{https://const-ae.github.io/ggsignif/} \item \url{https://github.com/const-ae/ggsignif} } } \author{ \strong{Maintainer}: Constantin Ahlmann-Eltze \email{artjom31415@googlemail.com} (\href{https://orcid.org/0000-0002-3762-068X}{ORCID}) (@const_ae) [contributor] Authors: \itemize{ \item Indrajeet Patil \email{patilindrajeet.science@gmail.com} (\href{https://orcid.org/0000-0003-1995-6531}{ORCID}) (@patilindrajeets) [contributor] } } \keyword{internal} ggsignif/man/figures/0000755000176200001440000000000014314536767014306 5ustar liggesusersggsignif/man/figures/logo.svg0000644000176200001440000016014313655773250015771 0ustar liggesusersNS*****ggsignifggsignif/man/figures/README-faceted_comparison-1.png0000644000176200001440000053565014314536767021750 0ustar liggesusersPNG  IHDR4הLiCCPkCGColorSpaceGenericRGB8U]hU>+$΃Ԧ5lRфem,lAݝi&3i)>A['!j-P(G 3k~s ,[%,-:t} }-+*&¿ gPG݅ج8"eŲ]A b ;l õWϙ2_E,(ۈ#Zsێ<5)"E6N#ӽEkۃO0}*rUt.iei #]r >cU{t7+ԙg߃xuWB_-%=^ t0uvW9 %/VBW'_tMۓP\>@y0`D i|[` hh)Tj0B#ЪhU# ~yhu fp#1I/I"0! 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.]jZjdFi&MTes76]v5o};-Zi\-4 <_'|<#G5ntp|77O=i߾}8-@y.@@@HS4u@@@Bmۚ?cwd i@Ä 駟.]MݻYwu3EGڵkc/X7x#nx̙33l03y*ӓLH3$g@@@|C<@@@@ @>}2^ENHr_4 *P2b6 VOРuΝnW^Fr lFF!ؤoG+:,Z(̣iӦ櫯 ǫ;f'C@@@ @$     PS;f4|Q ?C8o8Ci8sM>}2%YwuM޽39cZD4-Y$ha]w5 jK˗/2y4,\(BAѠ(`c=f uMi   Զ@k   /zg:wl>bŊ*73f0gв&MT мŋv|vs 74nr-Z]r*B-,Խ{w3x`3f;q;u]gN= 3.3.5) Suggests: knitr, rmarkdown, testthat, vdiffr (>= 1.0.2) RoxygenNote: 7.2.1 Config/testthat/edition: 3 Config/testthat/parallel: true NeedsCompilation: no Packaged: 2022-10-13 13:31:09 UTC; ahlmanne Author: Constantin Ahlmann-Eltze [aut, cre, ctb] (, @const_ae), Indrajeet Patil [aut, ctb] (, @patilindrajeets) Maintainer: Constantin Ahlmann-Eltze Repository: CRAN Date/Publication: 2022-10-13 14:41:57 UTC ggsignif/build/0000755000176200001440000000000014322011435013141 5ustar liggesusersggsignif/build/vignette.rds0000644000176200001440000000033514322011435015501 0ustar liggesusersmP0 QHLL_AHC 2.8e-14 1.8e-14 2seater compact midsize minivan pickup subcompact suv 20 30 40 hwy class flipping aesthetics works - vdiffr ggsignif/tests/testthat/_snaps/vdiffr/geom-works-with-identity-vdiffr.svg0000644000176200001440000001472614061606743026526 0ustar liggesusers *** NS *** 0.0 2.5 5.0 7.5 10.0 S1 S2 Group Value Sub A B geom works with identity - vdiffr ggsignif/tests/testthat/_snaps/vdiffr/basic-plot-vdiffr.svg0000644000176200001440000011622514061606743023666 0ustar liggesusers *** NS. *** * 1999 2008 audi chevrolet dodge ford honda hyundai jeep land rover lincoln mercury nissan pontiac subaru toyota volkswagen audi chevrolet dodge ford honda hyundai jeep land rover lincoln mercury nissan pontiac subaru toyota volkswagen 2 3 4 5 6 7 2 3 4 5 6 manufacturer displ basic plot - vdiffr ggsignif/tests/testthat/_snaps/vdiffr/geom-works-the-same-way-as-stat-vdiffr.svg0000644000176200001440000011632214061606743027572 0ustar liggesusers Interesting Too far apart Interesting Too far apart 1999 2008 audi chevrolet dodge ford honda hyundai jeep land rover lincoln mercury nissan pontiac subaru toyota volkswagen audi chevrolet dodge ford honda hyundai jeep land rover lincoln mercury nissan pontiac subaru toyota volkswagen 2 3 4 5 6 7 2 3 4 5 6 manufacturer displ geom works the same way as stat - vdiffr ggsignif/tests/testthat/_snaps/snapshot_data.md0000644000176200001440000002535014112133777021521 0ustar liggesusers# method which return text works - snapshot Code pb$data Output [[1]] ymin lower middle upper ymax outliers notchupper notchlower x flipped_aes 1 1.8 1.800 2.80 2.800 2.80 3.326667 2.273333 1 FALSE 2 3.1 4.400 5.70 5.700 6.50 2.4 6.476339 4.923661 2 FALSE 3 2.4 3.675 3.90 5.200 5.90 4.502375 3.297625 3 FALSE 4 3.8 4.000 4.60 4.600 5.40 4.844773 4.355227 4 FALSE 5 1.6 1.600 1.60 1.600 1.60 1.600000 1.600000 5 FALSE 6 2.0 2.100 2.40 2.475 2.50 2.641887 2.158113 6 FALSE 7 4.0 4.175 4.35 4.525 4.70 4.741030 3.958970 7 FALSE 8 4.0 4.150 4.30 4.450 4.60 4.635169 3.964831 8 FALSE 9 5.4 5.400 5.40 5.400 5.40 5.400000 5.400000 9 FALSE 10 4.0 4.250 4.50 4.750 5.00 5.058614 3.941386 10 FALSE 11 2.4 2.550 3.00 3.225 3.30 3.435397 2.564603 11 FALSE 12 3.1 3.450 3.80 3.800 3.80 4.119275 3.480725 12 FALSE 13 2.2 2.275 2.50 2.500 2.50 2.645132 2.354868 13 FALSE 14 1.8 2.200 2.70 3.100 3.40 4.7 3.017969 2.382031 14 FALSE 15 1.8 1.900 2.00 2.800 2.80 2.355500 1.644500 15 FALSE 16 2.0 2.000 3.10 3.100 4.20 3.679333 2.520667 1 FALSE 17 3.5 4.875 5.30 6.050 7.00 2.4 5.835925 4.764075 2 FALSE 18 3.3 3.800 4.70 4.700 5.70 5.010306 4.389694 3 FALSE 19 4.0 4.150 4.60 5.200 5.40 5.124622 4.075378 4 FALSE 20 1.8 1.800 1.80 1.850 1.85 2 1.839500 1.760500 5 FALSE 21 2.0 2.300 2.55 2.700 3.30 2.773446 2.326554 6 FALSE 22 3.0 3.950 4.70 5.450 6.10 5.667548 3.732452 7 FALSE 23 4.2 4.250 4.30 4.350 4.40 4.411723 4.188277 8 FALSE 24 5.4 5.400 5.40 5.400 5.40 5.400000 5.400000 9 FALSE 25 4.0 4.150 4.30 4.450 4.60 4.635169 3.964831 10 FALSE 26 2.5 3.000 3.50 3.750 4.00 5.6 3.947888 3.052112 11 FALSE 27 3.8 4.175 4.55 4.925 5.30 5.387922 3.712078 12 FALSE 28 2.5 2.500 2.50 2.500 2.50 2.500000 2.500000 13 FALSE 29 1.8 2.400 3.00 4.000 5.70 3.675636 2.324364 14 FALSE 30 2.0 2.000 2.00 2.500 2.50 3.6 2.238194 1.761806 15 FALSE PANEL group y ymin_final ymax_final xmin xmax xid newx new_width 1 1 1 NA 1.8 2.8 0.625 1.375 1 1 0.75 2 1 2 NA 2.4 6.5 1.625 2.375 2 2 0.75 3 1 3 NA 2.4 5.9 2.625 3.375 3 3 0.75 4 1 4 NA 3.8 5.4 3.625 4.375 4 4 0.75 5 1 5 1.6 1.6 1.6 4.625 5.375 5 5 0.75 6 1 6 NA 2.0 2.5 5.625 6.375 6 6 0.75 7 1 7 NA 4.0 4.7 6.625 7.375 7 7 0.75 8 1 8 NA 4.0 4.6 7.625 8.375 8 8 0.75 9 1 9 5.4 5.4 5.4 8.625 9.375 9 9 0.75 10 1 10 NA 4.0 5.0 9.625 10.375 10 10 0.75 11 1 11 NA 2.4 3.3 10.625 11.375 11 11 0.75 12 1 12 NA 3.1 3.8 11.625 12.375 12 12 0.75 13 1 13 NA 2.2 2.5 12.625 13.375 13 13 0.75 14 1 14 NA 1.8 4.7 13.625 14.375 14 14 0.75 15 1 15 NA 1.8 2.8 14.625 15.375 15 15 0.75 16 2 1 NA 2.0 4.2 0.625 1.375 1 1 0.75 17 2 2 NA 2.4 7.0 1.625 2.375 2 2 0.75 18 2 3 NA 3.3 5.7 2.625 3.375 3 3 0.75 19 2 4 NA 4.0 5.4 3.625 4.375 4 4 0.75 20 2 5 NA 1.8 2.0 4.625 5.375 5 5 0.75 21 2 6 NA 2.0 3.3 5.625 6.375 6 6 0.75 22 2 7 NA 3.0 6.1 6.625 7.375 7 7 0.75 23 2 8 NA 4.2 4.4 7.625 8.375 8 8 0.75 24 2 9 5.4 5.4 5.4 8.625 9.375 9 9 0.75 25 2 10 NA 4.0 4.6 9.625 10.375 10 10 0.75 26 2 11 NA 2.5 5.6 10.625 11.375 11 11 0.75 27 2 12 NA 3.8 5.3 11.625 12.375 12 12 0.75 28 2 13 2.5 2.5 2.5 12.625 13.375 13 13 0.75 29 2 14 NA 1.8 5.7 13.625 14.375 14 14 0.75 30 2 15 NA 2.0 3.6 14.625 15.375 15 15 0.75 weight colour fill size alpha shape linetype 1 1 grey20 white 0.5 NA 19 solid 2 1 grey20 white 0.5 NA 19 solid 3 1 grey20 white 0.5 NA 19 solid 4 1 grey20 white 0.5 NA 19 solid 5 1 grey20 white 0.5 NA 19 solid 6 1 grey20 white 0.5 NA 19 solid 7 1 grey20 white 0.5 NA 19 solid 8 1 grey20 white 0.5 NA 19 solid 9 1 grey20 white 0.5 NA 19 solid 10 1 grey20 white 0.5 NA 19 solid 11 1 grey20 white 0.5 NA 19 solid 12 1 grey20 white 0.5 NA 19 solid 13 1 grey20 white 0.5 NA 19 solid 14 1 grey20 white 0.5 NA 19 solid 15 1 grey20 white 0.5 NA 19 solid 16 1 grey20 white 0.5 NA 19 solid 17 1 grey20 white 0.5 NA 19 solid 18 1 grey20 white 0.5 NA 19 solid 19 1 grey20 white 0.5 NA 19 solid 20 1 grey20 white 0.5 NA 19 solid 21 1 grey20 white 0.5 NA 19 solid 22 1 grey20 white 0.5 NA 19 solid 23 1 grey20 white 0.5 NA 19 solid 24 1 grey20 white 0.5 NA 19 solid 25 1 grey20 white 0.5 NA 19 solid 26 1 grey20 white 0.5 NA 19 solid 27 1 grey20 white 0.5 NA 19 solid 28 1 grey20 white 0.5 NA 19 solid 29 1 grey20 white 0.5 NA 19 solid 30 1 grey20 white 0.5 NA 19 solid [[2]] x xend y yend annotation group flipped_aes PANEL shape 1 1 1 6.549 6.598 1.9*** audi-ford-1 FALSE 1 19 2 1 4 6.598 6.598 1.9*** audi-ford-1 FALSE 1 19 3 4 4 6.598 6.549 1.9*** audi-ford-1 FALSE 1 19 4 6 6 6.549 6.598 1.3* hyundai-nissan-2 FALSE 1 19 5 6 11 6.598 6.598 1.3* hyundai-nissan-2 FALSE 1 19 6 11 11 6.598 6.549 1.3* hyundai-nissan-2 FALSE 1 19 7 1 1 7.052 7.104 1.7*** audi-ford-1 FALSE 2 19 8 1 4 7.104 7.104 1.7*** audi-ford-1 FALSE 2 19 9 4 4 7.104 7.052 1.7*** audi-ford-1 FALSE 2 19 10 6 6 7.052 7.104 1.4* hyundai-nissan-2 FALSE 2 19 11 6 11 7.104 7.104 1.4* hyundai-nissan-2 FALSE 2 19 12 11 11 7.104 7.052 1.4* hyundai-nissan-2 FALSE 2 19 colour textsize angle hjust vjust alpha family fontface lineheight linetype 1 black 3.88 0 0.5 0 NA 1 1.2 1 2 black 3.88 0 0.5 0 NA 1 1.2 1 3 black 3.88 0 0.5 0 NA 1 1.2 1 4 black 3.88 0 0.5 0 NA 1 1.2 1 5 black 3.88 0 0.5 0 NA 1 1.2 1 6 black 3.88 0 0.5 0 NA 1 1.2 1 7 black 3.88 0 0.5 0 NA 1 1.2 1 8 black 3.88 0 0.5 0 NA 1 1.2 1 9 black 3.88 0 0.5 0 NA 1 1.2 1 10 black 3.88 0 0.5 0 NA 1 1.2 1 11 black 3.88 0 0.5 0 NA 1 1.2 1 12 black 3.88 0 0.5 0 NA 1 1.2 1 size 1 0.5 2 0.5 3 0.5 4 0.5 5 0.5 6 0.5 7 0.5 8 0.5 9 0.5 10 0.5 11 0.5 12 0.5 # identical annotations are plotted separetly - snapshot Code pb$data Output [[1]] fill x y PANEL group flipped_aes ymin ymax xmin xmax colour size 1 grey80 0.875 3 1 1 FALSE 0 3 0.75 1.00 NA 0.5 2 grey20 1.125 5 1 3 FALSE 0 5 1.00 1.25 NA 0.5 3 grey80 1.875 7 1 2 FALSE 0 7 1.75 2.00 NA 0.5 4 grey20 2.125 8 1 4 FALSE 0 8 2.00 2.25 NA 0.5 linetype alpha 1 1 NA 2 1 NA 3 1 NA 4 1 NA [[2]] x xend y yend annotation group flipped_aes PANEL shape colour textsize 1 1 1 9.575 9.575 *** S1-S2-1 FALSE 1 19 black 3.88 2 1 2 9.575 9.575 *** S1-S2-1 FALSE 1 19 black 3.88 3 2 2 9.575 9.575 *** S1-S2-1 FALSE 1 19 black 3.88 angle hjust vjust alpha family fontface lineheight linetype size 1 0 0.5 0.4 NA 1 1.2 1 0.5 2 0 0.5 0.4 NA 1 1.2 1 0.5 3 0 0.5 0.4 NA 1 1.2 1 0.5 [[3]] x xend y yend annotation group PANEL shape colour textsize angle hjust 1 0.875 1.125 5.8 5.8 ** 1 1 19 black 3.88 0 0.5 2 1.875 2.125 8.5 8.5 ** 2 1 19 black 3.88 0 0.5 vjust alpha family fontface lineheight linetype size 1 0 NA 1 1.2 1 0.5 2 0 NA 1 1.2 1 0.5 ggsignif/tests/testthat/_snaps/geom_signific_strict.md0000644000176200001440000000326314314536767023074 0ustar liggesusers# the plotting works - strict test Code pb$data Output [[1]] fill x y PANEL group flipped_aes ymin ymax xmin xmax colour size 1 grey80 0.875 3 1 1 FALSE 0 3 0.75 1.00 NA 0.5 2 grey20 1.125 5 1 3 FALSE 0 5 1.00 1.25 NA 0.5 3 grey80 1.875 7 1 2 FALSE 0 7 1.75 2.00 NA 0.5 4 grey20 2.125 8 1 4 FALSE 0 8 2.00 2.25 NA 0.5 linetype alpha 1 1 NA 2 1 NA 3 1 NA 4 1 NA [[2]] x xend y yend annotation PANEL group shape colour textsize angle hjust 1 0.875 1.125 5.8 5.8 *** 1 1 19 black 3.88 0 0.5 2 1.875 2.125 8.5 8.5 NS 1 2 19 black 3.88 0 0.5 vjust alpha family fontface lineheight linetype size 1 0 NA 1 1.2 1 0.5 2 0 NA 1 1.2 1 0.5 [[3]] x xend y yend annotation group flipped_aes PANEL shape colour textsize 1 1 1 9.575 9.575 *** S1-S2-1 FALSE 1 19 black 3.88 2 1 2 9.575 9.575 *** S1-S2-1 FALSE 1 19 black 3.88 3 2 2 9.575 9.575 *** S1-S2-1 FALSE 1 19 black 3.88 angle hjust vjust alpha family fontface lineheight linetype size 1 0 0.5 0 NA 1 1.2 1 0.5 2 0 0.5 0 NA 1 1.2 1 0.5 3 0 0.5 0 NA 1 1.2 1 0.5 ggsignif/tests/testthat/Rplots.pdf0000644000176200001440000006307514314536767017062 0ustar liggesusers%PDF-1.4 %ρ\r 1 0 obj 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snapshot", { magnitude_test <- function(x, y, ...) { change <- mean(y) / mean(x) p <- t.test(x, y)$p.value stars <- if (p < 0.001) { "***" } else if (p < 0.01) { "**" } else if (p < 0.05) { "*" } else { "" } list(p.value = paste0(signif(change, digits = 2), stars)) } p <- ggplot(mpg, aes(x = manufacturer, y = displ)) + geom_boxplot() + stat_signif( comparisons = list(c("audi", "ford"), c("hyundai", "nissan")), test = magnitude_test, margin_top = 0.02, step_increase = 0, tip_length = 0.01 ) + theme(axis.text.x = element_text(angle = 90, hjust = 1)) + facet_wrap(~ as.factor(year), scale = "free") pb <- ggplot2::ggplot_build(p) expect_snapshot(pb$data) }) test_that("identical annotations are plotted separetly - snapshot", { dat <- data.frame( Group = c("S1", "S1", "S2", "S2"), Sub = c("A", "B", "A", "B"), Value = c(3, 5, 7, 8) ) p <- ggplot(dat, aes(Group, Value)) + geom_bar(aes(fill = Sub), stat = "identity", position = "dodge", width = .5) + geom_signif( comparisons = list(c("S1", "S2")), annotations = "***", y_position = 9.3, tip_length = 0, vjust = 0.4 ) + geom_signif( stat = "identity", data = data.frame( x = c(0.875, 1.875), xend = c(1.125, 2.125), y = c(5.8, 8.5), annotation = c("**", "**") ), aes( x = x, xend = xend, y = y, yend = y, annotation = annotation, group = c(1, 2) ) ) + scale_fill_manual(values = c("grey80", "grey20")) pb <- ggplot2::ggplot_build(p) expect_snapshot(pb$data) }) ggsignif/tests/testthat/test-vdiffr.R0000644000176200001440000000520014314536767017446 0ustar liggesuserstest_that("plots are rendered correctly", { skip_on_cran() skip_if_not_installed("vdiffr") skip_if(getRversion() < "4.1") skip_if(getRversion() >= "4.2") # TODO: remove once https://github.com/r-lib/vdiffr/issues/117 is resolved library(ggplot2) set.seed(123) vdiffr::expect_doppelganger( title = "basic plot - vdiffr", fig = ggplot(mpg, aes(x = manufacturer, y = displ)) + geom_boxplot() + stat_signif( comparisons = list(c("audi", "ford"), c("hyundai", "nissan")), map_signif_level = TRUE, test = "wilcox.test", test.args = list(alternative = "two.sided"), margin_top = 0.02, step_increase = 0, tip_length = 0.01 ) + theme(axis.text.x = element_text(angle = 90, hjust = 1)) + facet_wrap(~ as.factor(year), scale = "free") ) set.seed(123) vdiffr::expect_doppelganger( title = "flipping aesthetics works - vdiffr", fig = ggplot(mpg, aes(class, hwy)) + geom_boxplot() + geom_signif(comparisons = list( c("compact", "pickup"), c("subcompact", "suv") )) + coord_flip() ) set.seed(123) vdiffr::expect_doppelganger( title = "geom works the same way as stat - vdiffr", fig = ggplot(mpg, aes(x = manufacturer, y = displ)) + geom_boxplot() + geom_signif( comparisons = list(c("audi", "ford"), c("hyundai", "nissan")), annotations = c("Interesting", "Too far apart"), test = "wilcox.test", test.args = list(alternative = "two.sided"), margin_top = 0.02, step_increase = 0, tip_length = 0.01 ) + theme(axis.text.x = element_text(angle = 90, hjust = 1)) + facet_wrap(~ as.factor(year), scale = "free") ) dat <- data.frame( Group = c("S1", "S1", "S2", "S2"), Sub = c("A", "B", "A", "B"), Value = c(3, 5, 7, 8) ) set.seed(123) vdiffr::expect_doppelganger( title = "geom works with identity - vdiffr", fig = ggplot(dat, aes(Group, Value)) + geom_bar(aes(fill = Sub), stat = "identity", position = "dodge", width = .5 ) + geom_signif( stat = "identity", data = data.frame( m = c(0.875, 1.875), xend = c(1.125, 2.125), n = c(5.8, 8.5), annotation = c("***", "NS") ), aes( x = m, xend = xend, y = n, yend = n, annotation = annotation ) ) + geom_signif( comparisons = list(c("S1", "S2")), annotations = "***", y_position = 9.3, tip_length = 0 ) + scale_fill_manual(values = c("grey80", "grey20")) ) }) ggsignif/tests/testthat/test-geom_signific_basic.R0000644000176200001440000001502414014736006022117 0ustar liggesuserslibrary(ggplot2) test_that("the plotting works", { print( ggplot(mpg, aes(x = manufacturer, y = displ)) + geom_boxplot() + stat_signif( comparisons = list(c("audi", "ford"), c("hyundai", "nissan")), map_signif_level = TRUE, test = "wilcox.test", test.args = list(alternative = "two.sided"), margin_top = 0.02, step_increase = 0, tip_length = 0.01 ) + theme(axis.text.x = element_text(angle = 90, hjust = 1)) + facet_wrap(~ as.factor(year), scale = "free") ) expect_equal(1, 1) }) test_that("geom works as well as stat works", { print( ggplot(mpg, aes(x = manufacturer, y = displ)) + geom_boxplot() + geom_signif( comparisons = list(c("audi", "ford"), c("hyundai", "nissan")), annotations = c("Interesting", "Too far apart"), # map_signif_level=TRUE, test = "wilcox.test", test.args = list(alternative = "two.sided"), margin_top = 0.02, step_increase = 0, tip_length = 0.01 ) + theme(axis.text.x = element_text(angle = 90, hjust = 1)) + facet_wrap(~ as.factor(year), scale = "free") ) expect_equal(1, 1) }) test_that("non-sense gives warning", { expect_warning(print( ggplot(mpg, aes(y = hwy, x = displ, group = manufacturer)) + geom_point() + stat_signif(comparisons = list(c("audi", "ford"), c("hyundai", "nissan"))) )) }) test_that("geom_signif with identity works", { dat <- data.frame( Group = c("S1", "S1", "S2", "S2"), Sub = c("A", "B", "A", "B"), Value = c(3, 5, 7, 8) ) ## Define base plot print( ggplot(dat, aes(Group, Value)) + geom_bar(aes(fill = Sub), stat = "identity", position = "dodge", width = .5 ) + geom_signif( stat = "identity", data = data.frame( m = c(0.875, 1.875), xend = c(1.125, 2.125), n = c(5.8, 8.5), annotation = c("***", "NS") ), aes( x = m, xend = xend, y = n, yend = n, annotation = annotation ) ) + geom_signif( comparisons = list(c("S1", "S2")), annotations = "***", y_position = 9.3, tip_length = 0 ) + scale_fill_manual(values = c("grey80", "grey20")) ) expect_equal(1, 1) }) test_that("you can change the linetype", { print( ggplot(iris, aes(x = Species, y = Sepal.Length)) + geom_boxplot() + geom_signif( comparisons = list(c("versicolor", "virginica")), map_signif_level = TRUE, linetype = 3, alpha = 1, color = "blue", size = 1, textsize = 8 ) + ylim(c(NA, 8.5)) ) expect_equal(1, 1) }) test_that("identical annotations are plotted separetly", { dat <- data.frame( Group = c("S1", "S1", "S2", "S2"), Sub = c("A", "B", "A", "B"), Value = c(3, 5, 7, 8) ) print( ggplot(dat, aes(Group, Value)) + geom_bar(aes(fill = Sub), stat = "identity", position = "dodge", width = .5) + geom_signif( comparisons = list(c("S1", "S2")), annotations = "***", y_position = 9.3, tip_length = 0, vjust = 0.4 ) + geom_signif( stat = "identity", data = data.frame( x = c(0.875, 1.875), xend = c(1.125, 2.125), y = c(5.8, 8.5), annotation = c("**", "**") ), aes( x = x, xend = xend, y = y, yend = y, annotation = annotation, group = c(1, 2) ) ) + scale_fill_manual(values = c("grey80", "grey20")) ) expect_equal(1, 1) }) test_that("multiple comparisons can be made to the same element", { set.seed(1) print( ggplot( data.frame(y = runif(100), x = sample(c("A", "B", "C", "D"), size = 100, replace = TRUE)), aes(x = x, y = y) ) + geom_boxplot() + geom_signif( comparisons = list(c(1, 2), c(2, 3), c(1, 3), c(1, 4), c(2, 4), c(1, 2)), step_increase = .1 ) ) expect_equal(1, 1) }) test_that("plots with xmin, xmax work", { library(datasets) data(airquality) airquality$Month <- factor(airquality$Month, labels = c("May", "Jun", "Jul", "Aug", "Sep") ) airquality_trimmed <- airquality[which(airquality$Month == "Jul" | airquality$Month == "Aug" | airquality$Month == "Sep"), ] airquality_trimmed$Temp.f <- factor(ifelse(airquality_trimmed$Temp > mean(airquality_trimmed$Temp), 1, 0), labels = c("Low temp", "High temp") ) print(ggplot(airquality_trimmed, aes(x = Month, y = Ozone, fill = Temp.f)) + geom_boxplot(alpha = 0.7, width = 0.4) + geom_signif( y_position = 150, xmin = c(0.9, 1.9), xmax = c(1.1, 2.1), annotations = c("***", "NS") ) + scale_y_continuous( name = "Mean ozone in\nparts per billion", breaks = seq(0, 175, 25), limits = c(0, 175) ) + scale_x_discrete(name = "Month") + ggtitle("Boxplot of mean ozone by month") + theme_bw() + theme( plot.title = element_text(size = 14, face = "bold"), text = element_text(size = 12), axis.title = element_text(face = "bold"), axis.text.x = element_text(size = 11), legend.position = "bottom" ) + scale_fill_brewer(palette = "Accent") + labs(fill = "Temperature")) expect_equal(1, 1) }) test_that("manually annotated plots work", { ggplot( data = diamonds, aes( x = cut, y = price ) ) + geom_boxplot() + geom_signif( data = data.frame( color = c("E", "E", "G"), annotations = c("123", "abc", "xyz"), xmin = c(1, 4, 2), xmax = c(2, 3, 3) ), aes(annotations = annotations, xmin = xmin, xmax = xmax), manual = TRUE, y_position = 20000 ) + facet_wrap(~color) + ylim(NA, 22000) expect_equal(1, 1) }) test_that("test method which return text work", { magnitude_test <- function(x, y, ...) { change <- mean(y) / mean(x) p <- t.test(x, y)$p.value stars <- if (p < 0.001) { "***" } else if (p < 0.01) { "**" } else if (p < 0.05) { "*" } else { "" } list(p.value = paste0(signif(change, digits = 2), stars)) } ggplot(mpg, aes(x = manufacturer, y = displ)) + geom_boxplot() + stat_signif( comparisons = list(c("audi", "ford"), c("hyundai", "nissan")), test = magnitude_test, margin_top = 0.02, step_increase = 0, tip_length = 0.01 ) + theme(axis.text.x = element_text(angle = 90, hjust = 1)) + facet_wrap(~ as.factor(year), scale = "free") expect_equal(1, 1) }) ggsignif/tests/testthat.R0000644000176200001440000000011514314536767015211 0ustar liggesuserslibrary(testthat) library(ggsignif) library(ggplot2) test_check("ggsignif") ggsignif/vignettes/0000755000176200001440000000000014322011435014052 5ustar liggesusersggsignif/vignettes/intro.Rmd0000644000176200001440000001016114314536767015675 0ustar liggesusers--- title: "Introduction to 'ggsignif' package" author: "Constantin Ahlmann-Eltze and Indrajeet Patil" date: "`r Sys.Date()`" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Introduction to 'ggsignif' package} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r, echo=FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>", message = FALSE, warning = FALSE, dpi = 300, out.width = "100%", fig.width = 6, fig.height = 5 ) ``` # Statement of Need Research hypotheses often concern with differences between two or multiple groups and significance-based hypothesis testing can provide indices for evidence for such differences. Naturally, when people are visualizing such group differences, they might also wish to quickly annotate if the difference between two levels of group in a plot is significantly different ([look](https://stackoverflow.com/questions/17084566/put-stars-on-ggplot-barplots-and-boxplots-to-indicate-the-level-of-significanc) [at](https://stackoverflow.com/questions/14958159/indicating-the-statistically-significant-difference-in-bar-graph-using-r) [all](https://stackoverflow.com/questions/29263046/how-to-draw-the-boxplot-with-significant-level) [those](https://stackoverflow.com/questions/29186435/showing-significance-relationships-in-a-ggplot2-bar-graph) [questions](https://groups.google.com/forum/#!topic/ggplot2/ntVlMqTc6PI)). This package does exactly that! It provides a single layer `geom_signif` which can calculate the significance of a difference between groups and add the annotation to the plot in a single line. In doing so, it further extends the fundamental strength of `ggplot`, which allows one to quickly make advanced plots by combining layers of visualization, which can encapsulate complex statistical methods (`geom_smooth`, `geom_contour` etc.). # How to use it? ## Simple case First step: load the needed packages. ```{r} library(ggplot2) library(ggsignif) ``` Second step: plot your data. ```{r simple} ggplot(iris, aes(x = Species, y = Sepal.Length)) + geom_boxplot() + # using `ggsignif` to display comparison of interest geom_signif( comparisons = list(c("versicolor", "virginica")), map_signif_level = TRUE ) ``` That's it, it is as simple as that! Note that, if we were to statistically analyze this data, we would run a one-way ANOVA to assess if *any* of the group means differ from each other and then follow up with *post hoc* multiple comparisons to do more fine-grained comparisons between different levels of the group. The `ggsignif` package provides a way to graphically display all or a few (depending on the research hypotheses context) of such comparisons. ## Advanced options Sometimes one might need more advanced control over the display. For example, instead of a one-way ANOVA design, you can have a complex multiway-ANOVA design. In such instances, you may wish to have a much finer control over which comparisons to include for pairwise comparison displays. To specify exactly where the bracket is drawn use the `y_position`, `xmin` and `xmax` parameters combined with a custom `annotations`. This is always necessary if `geom_signif` is combined with another layer that uses `position="dodge"`, because it changes the location of the visual elements *without* updating the data. ```{r advanced} dat <- data.frame( Group = c("S1", "S1", "S2", "S2"), Sub = c("A", "B", "A", "B"), Value = c(3, 5, 7, 8) ) ggplot(dat, aes(Group, Value)) + geom_bar(aes(fill = Sub), stat = "identity", position = "dodge", width = .5) + geom_signif( y_position = c(5.3, 8.3), xmin = c(0.8, 1.8), xmax = c(1.2, 2.2), annotation = c("**", "NS"), tip_length = 0 ) + geom_signif( comparisons = list(c("S1", "S2")), y_position = 9.3, tip_length = 0, vjust = 0.2 ) + scale_fill_manual(values = c("grey80", "grey20")) ``` For more detailed documentation of the available parameters see the manual page for the `geom_signif` function: # Bugs, Comments or Questions? If you have any problems with the package, just file an issue at https://github.com/const-ae/ggsignif. ggsignif/R/0000755000176200001440000000000014314536767012270 5ustar liggesusersggsignif/R/utilities.R0000644000176200001440000000060514014736005014407 0ustar liggesusers#' Parse takes a vector of n lines and returns m expressions. #' See https://github.com/tidyverse/ggplot2/issues/2864 for discussion. #' #' @noRd parse_safe <- function(text) { stopifnot(is.character(text)) out <- vector("expression", length(text)) for (i in seq_along(text)) { expr <- parse(text = text[[i]]) out[[i]] <- if (length(expr) == 0) NA else expr[[1]] } out } ggsignif/R/ggsignif-package.R0000644000176200001440000000004114026332650015555 0ustar liggesusers#' @keywords internal "_PACKAGE" ggsignif/R/geom_signif.R0000644000176200001440000004631214314536767014707 0ustar liggesusers#' Create significance layer #' #' @param comparisons A list of length-2 vectors. The entries in the vector are #' either the names of 2 values on the x-axis or the 2 integers that #' correspond to the index of the columns of interest. #' @param test the name of the statistical test that is applied to the values of #' the 2 columns (e.g. `t.test`, `wilcox.test` etc.). If you implement a #' custom test make sure that it returns a list that has an entry called #' `p.value`. #' @param test.args additional arguments for the test method #' @param annotations character vector with alternative annotations, if not null #' test is ignored #' @param map_signif_level Boolean value, if the p-value are directly written as #' annotation or asterisks are used instead. Alternatively one can provide a #' named numeric vector to create custom mappings from p-values to annotation: #' For example: `c("***"=0.001, "**"=0.01, "*"=0.05)`. #' Alternatively, one can provide a function that takes a numeric argument #' (the p-value) and returns a string. #' @param xmin,xmax numeric vector with the positions of the left and right #' sides of the brackets, respectively #' @param y_position numeric vector with the y positions of the brackets #' @param size change the width of the lines of the bracket #' @param textsize change the size of the text #' @param family change the font used for the text #' @param vjust move the text up or down relative to the bracket #' @param margin_top numeric vector how much higher that the maximum value that #' bars start as fraction of total height #' @param step_increase numeric vector with the increase in fraction of total #' height for every additional comparison to minimize overlap. #' @param extend_line Numeric that allows to shorten (negative values) or extend #' (positive value) the horizontal line between groups for each comparison; #' defaults to 0. #' @param tip_length numeric vector with the fraction of total height that the #' bar goes down to indicate the precise column #' @param parse If `TRUE`, the labels will be parsed into expressions and #' displayed as described in `?plotmath`. #' @param manual Boolean flag that indicates that the parameters are provided #' with a data.frame. This option is necessary if one wants to plot different #' annotations per facet. #' @param na.rm If `FALSE` (the default), removes missing values with #' a warning. If `TRUE` silently removes missing values. #' @param orientation The orientation of the layer. The default (‘NA’) #' automatically determines the orientation from the aesthetic mapping. #' In the rare event that this fails it can be given explicitly by setting #' 'orientation' to either "x" or "y" #' @param ... other arguments passed on to `layer`. These are #' often aesthetics, used to set an aesthetic to a fixed value, like #' `color = "red"` or `size = 3`. They may also be parameters #' to the paired geom/stat. #' #' @inheritParams ggplot2::layer #' #' @examples #' \dontrun{ #' library(ggplot2) #' library(ggsignif) #' #' ggplot(mpg, aes(class, hwy)) + #' geom_boxplot() + #' geom_signif(comparisons = list( #' c("compact", "pickup"), #' c("subcompact", "suv") #' )) #' #' ggplot(mpg, aes(class, hwy)) + #' geom_boxplot() + #' geom_signif( #' comparisons = list( #' c("compact", "pickup"), #' c("subcompact", "suv") #' ), #' map_signif_level = function(p) sprintf("p = %.2g", p) #' ) #' #' ggplot(mpg, aes(class, hwy)) + #' geom_boxplot() + #' geom_signif( #' annotations = c("First", "Second"), #' y_position = c(30, 40), xmin = c(4, 1), xmax = c(5, 3) #' ) #' } #' #' @export stat_signif <- function(mapping = NULL, data = NULL, position = "identity", na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, comparisons = NULL, test = "wilcox.test", test.args = NULL, annotations = NULL, map_signif_level = FALSE, y_position = NULL, xmin = NULL, xmax = NULL, margin_top = 0.05, step_increase = 0, tip_length = 0.03, size = 0.5, textsize = 3.88, family = "", vjust = 0, parse = FALSE, manual = FALSE, orientation = NA, ...) { if (manual) { if (!is.null(data) & !is.null(mapping)) { if (!"x" %in% names(data)) mapping$x <- 1 if (!"y" %in% names(data)) mapping$y <- 1 } else { stop("If manual mode is selected you need to provide the data and mapping parameters") } } ggplot2::layer( stat = StatSignif, data = data, mapping = mapping, geom = "signif", position = position, show.legend = show.legend, inherit.aes = inherit.aes, params = list( comparisons = comparisons, test = test, test.args = test.args, annotations = annotations, map_signif_level = map_signif_level, y_position = y_position, xmin = xmin, xmax = xmax, margin_top = margin_top, step_increase = step_increase, tip_length = tip_length, size = size, textsize = textsize, family = family, vjust = vjust, parse = parse, manual = manual, na.rm = na.rm, orientation = orientation, ... ) ) } GeomSignif <- ggplot2::ggproto( "GeomSignif", ggplot2::Geom, required_aes = c("x", "xend", "y", "yend", "annotation"), default_aes = ggplot2::aes( shape = 19, colour = "black", textsize = 3.88, angle = 0, hjust = 0.5, vjust = 0, alpha = NA, family = "", fontface = 1, lineheight = 1.2, linetype = 1, size = 0.5 ), extra_params = c("na.rm", "orientation"), setup_params = function(data, params) { params$flipped_aes <- ggplot2::has_flipped_aes(data, params) return(params) }, draw_key = function(...) { grid::nullGrob() }, draw_group = function(data, panel_params, coord, parse = FALSE, extend_line = 0, flipped_aes = FALSE) { lab <- as.character(data$annotation) if (parse) { lab <- parse_safe(as.character(lab)) } coords <- coord$transform(data, panel_params) if (extend_line != 0 && nrow(coords) == 3) { if (coords[2, "x"] > coords[2, "xend"]) { extend_line <- -extend_line } # left vertical segment coords[1, "x"] <- coords[1, "x"] - extend_line coords[1, "xend"] <- coords[1, "xend"] - extend_line # horizontal line coords[2, "x"] <- coords[2, "x"] - extend_line coords[2, "xend"] <- coords[2, "xend"] + extend_line # right vertical segment coords[3, "x"] <- coords[3, "x"] + extend_line coords[3, "xend"] <- coords[3, "xend"] + extend_line } clp_flag <- inherits(coord, "CoordFlip") if (!any(flipped_aes, clp_flag) || all(flipped_aes, clp_flag)) { text_x <- mean(c(coords$x[1], tail(coords$xend, n = 1))) text_y <- max(c(coords$y, coords$yend)) + 0.01 } else { text_x <- max(c(coords$x, coords$xend)) + 0.01 text_y <- mean(c(coords$y[1], tail(coords$yend, n = 1))) if (all(coords$angle == 0)) { coords$angle <- 270 } } grid::gList( grid::textGrob( label = lab, x = text_x, # mean(c(coords$x[1], tail(coords$xend, n = 1))), y = text_y, # max(c(coords$y, coords$yend)) + 0.01, default.units = "native", hjust = coords$hjust, vjust = coords$vjust, rot = coords$angle, gp = grid::gpar( col = scales::alpha(coords$colour, coords$alpha), fontsize = coords$textsize * ggplot2::.pt, fontfamily = coords$family, fontface = coords$fontface, lineheight = coords$lineheight ) ), grid::segmentsGrob( coords$x, coords$y, default.units = "native", coords$xend, coords$yend, gp = grid::gpar( col = scales::alpha(coords$colour, coords$alpha), lty = coords$linetype, lwd = coords$size * ggplot2::.pt ) ) ) } ) #' @rdname stat_signif #' @export geom_signif <- function(mapping = NULL, data = NULL, stat = "signif", position = "identity", na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, comparisons = NULL, test = "wilcox.test", test.args = NULL, annotations = NULL, map_signif_level = FALSE, y_position = NULL, xmin = NULL, xmax = NULL, margin_top = 0.05, step_increase = 0, extend_line = 0, tip_length = 0.03, size = 0.5, textsize = 3.88, family = "", vjust = 0, parse = FALSE, manual = FALSE, orientation = NA, ...) { params <- list(na.rm = na.rm, ...) if (identical(stat, "signif")) { if (!is.null(data) & !is.null(mapping) & !manual) { warning("You have set data and mapping, are you sure that manual = FALSE is correct?") } if (manual) { if (is.null(mapping$annotations)) { stop("Manual mode only works if with 'annotations' is provided in mapping") } if (!is.null(data) & !is.null(mapping)) { if (!"x" %in% names(mapping)) { if ("xmin" %in% names(mapping)) { mapping$x <- mapping$xmin } else { mapping$x <- xmin } } if (!"y" %in% names(mapping)) { if ("y_position" %in% names(mapping)) { mapping$y <- mapping$y_position } else { mapping$y <- y_position } } } else { stop("If manual mode is selected you need to provide the data and mapping parameters") } } params <- c( params, list( comparisons = comparisons, test = test, test.args = test.args, annotations = annotations, map_signif_level = map_signif_level, y_position = y_position, xmin = xmin, xmax = xmax, margin_top = margin_top, step_increase = step_increase, extend_line = extend_line, tip_length = tip_length, size = size, textsize = textsize, family = family, vjust = vjust, parse = parse, manual = manual, orientation = orientation ) ) } ggplot2::layer( stat = stat, geom = GeomSignif, mapping = mapping, data = data, position = position, show.legend = show.legend, inherit.aes = inherit.aes, params = params ) } StatSignif <- ggplot2::ggproto( "StatSignif", ggplot2::Stat, required_aes = c("x", "y", "group"), extra_params = c("na.rm", "orientation"), setup_params = function(data, params) { # if(any(data$group == -1)|| any(data$group != data$x)){ params$flipped_aes <- ggplot2::has_flipped_aes(data, params) data <- ggplot2::flip_data(data, params$flipped_aes) if (any(data$group == -1)) { stop("Can only handle data with groups that are plotted on the x-axis") } if (is.character(params$test)) params$test <- match.fun(params$test) params$complete_data <- data if (is.null(params$xmin) != is.null(params$xmax) || length(params$xmin) != length(params$xmax)) { stop("If xmin or xmax is set, the other one also needs to be set and they need to contain the same number of values") } if (!is.null(params$xmin) && !is.null(params$comparisons)) { stop("Set either the xmin, xmax values or the comparisons") } if (!is.null(params$xmin) && is.null(params$y_position)) { stop("If xmin, xmax are defined also define y_position") } if (!is.null(params$y_position) && length(params$y_position) == 1) { params$y_position <- rep(params$y_position, max(length(params$comparisons), length(params$xmin), 1)) } if (length(params$margin_top) == 1) params$margin_top <- rep(params$margin_top, max(length(params$comparisons), length(params$xmin), 1)) if (length(params$step_increase) == 1) params$step_increase <- rep(params$step_increase, max(length(params$comparisons), length(params$xmin), 1)) if (length(params$tip_length) == 1) params$tip_length <- rep(params$tip_length, max(length(params$comparisons), length(params$xmin), 1) * 2) if (length(params$tip_length) == length(params$comparisons)) params$tip_length <- rep(params$tip_length, each = 2) if (length(params$tip_length) == length(params$xmin)) params$tip_length <- rep(params$tip_length, each = 2) if (!is.null(params$annotations) && length(params$annotations) == 1) { params$annotations <- rep(params$annotations, max(length(params$comparisons), length(params$xmin), 1)) } if (!is.null(params$annotations) && length(params$annotations) != max(length(params$comparisons), length(params$xmin), 1)) { stop(paste0( "annotations contains a different number of elements (", length(params$annotations), ") than comparisons or xmin (", max(length(params$comparisons), length(params$xmin), 1), ")." )) } if (all(is.logical(params$map_signif_level)) && all(params$map_signif_level == TRUE)) { params$map_signif_level <- c("***" = 0.001, "**" = 0.01, "*" = 0.05) } else if (is.numeric(params$map_signif_level)) { if (is.null(names(params$map_signif_level))) { if (length(params$map_signif_level) <= 3) { names(params$map_signif_level) <- tail(c("***", "**", "*"), n = length(params$map_signif_level)) } else { stop('Cannot handle un-named map for significance values, please provide in the following format: c("***"=0.001, "**"=0.01, "*"=0.05)') } } } return(params) }, compute_group = function(data, scales, comparisons, test, test.args, complete_data, annotations, map_signif_level, y_position, xmax, xmin, margin_top, step_increase, tip_length, manual, flipped_aes = FALSE) { data <- ggplot2::flip_data(data, flipped_aes) scales <- ggplot2::flip_data(scales, flipped_aes) if ("annotations" %in% colnames(data)) { annotations <- data[["annotations"]] } if ("y_position" %in% colnames(data)) { y_position <- data[["y_position"]] } if ("xmax" %in% colnames(data)) { xmax <- data[["xmax"]] } if ("xmin" %in% colnames(data)) { xmin <- data[["xmin"]] } if ("map_signif_level" %in% colnames(data)) { map_signif_level <- data[["map_signif_level"]] } if ("tip_length" %in% colnames(data)) { tip_length <- rep(data[["tip_length"]], each = 2) } if (!is.null(comparisons)) { i <- 0 result <- lapply(comparisons, function(comp) { i <<- i + 1 # All entries in group should be the same if (scales$x$map(comp[1]) == data$group[1] | manual) { test_result <- if (is.null(annotations)) { group_1 <- complete_data$y[complete_data$x == scales$x$map(comp[1]) & complete_data$PANEL == data$PANEL[1]] group_2 <- complete_data$y[complete_data$x == scales$x$map(comp[2]) & complete_data$PANEL == data$PANEL[1]] p_value <- do.call(test, c(list(group_1, group_2), test.args))$p.value if (is.numeric(map_signif_level)) { temp_value <- names(which.min(map_signif_level[which(map_signif_level > p_value)])) if (is.null(temp_value)) { "NS." } else { temp_value } } else if (is.function(map_signif_level)) { map_signif_level(p_value) } else { if (is.numeric(p_value)) { if (p_value < .Machine$double.eps) { sprintf("p < %.2e", .Machine$double.eps) } else { as.character(sprintf("%.2g", p_value)) } } else { as.character(p_value) } } } else { annotations[i] } y_scale_range <- (scales$y$range$range[2] - scales$y$range$range[1]) if (is.null(y_position)) { y_pos <- scales$y$range$range[2] + y_scale_range * margin_top[i] + y_scale_range * step_increase[i] * (i - 1) } else { y_pos <- y_position[i] + y_scale_range * margin_top[i] + y_scale_range * step_increase[i] * (i - 1) } data.frame( x = c(min(comp[1], comp[2]), min(comp[1], comp[2]), max(comp[1], comp[2])), xend = c(min(comp[1], comp[2]), max(comp[1], comp[2]), max(comp[1], comp[2])), y = c(y_pos - y_scale_range * tip_length[(i - 1) * 2 + 1], y_pos, y_pos), yend = c(y_pos, y_pos, y_pos - y_scale_range * tip_length[(i - 1) * 2 + 2]), annotation = test_result, group = paste(c(comp, i), collapse = "-") ) } }) df <- do.call(rbind, result) } else { if ((data$x[1] == min(complete_data$x) & data$group[1] == min(complete_data$group)) | manual) { y_scale_range <- (scales$y$range$range[2] - scales$y$range$range[1]) if (is.character(xmin)) { xmin <- scales$x$map(xmin) } if (is.character(xmax)) { xmax <- scales$x$map(xmax) } if ("expression" %in% class(annotations)) { stop("annotations must be a character vector. To use plotmath set parse=TRUE.") } df <- data.frame( x = c(xmin, xmin, xmax), xend = c(xmin, xmax, xmax), y = c( y_position - y_scale_range * tip_length[seq_len(length(tip_length)) %% 2 == 1], y_position, y_position ), yend = c( y_position, y_position, y_position - y_scale_range * tip_length[seq_len(length(tip_length)) %% 2 == 0] ), annotation = rep(annotations, times = 3), group = if (manual) { rep(data$group, times = 3) } else { rep(seq_along(xmin), times = 3) } ) } else { df <- NULL } } if (!is.null(df)) { df$flipped_aes <- flipped_aes df <- ggplot2::flip_data(df, flipped_aes) } return(df) } ) ggsignif/NEWS.md0000644000176200001440000000352214322010450013136 0ustar liggesusers# Version 0.6.4 - Gets rid of `NOTE` in CRAN checks. # Version 0.6.3 - Introducing `orientation` argument to control the direction (either `x` or `y`) of the layer and better compatible with `coord_flip()`. (@xiangpin, #104) # Version 0.6.2 - Updates visual regression tests for `vdiffr 1.0.0` release. - Removes `NOTE` about `lazyData` from CRAN's daily checks. # Version 0.6.1 - @IndrajeetPatil is now a `ggsignif` author in recognition of his significant and sustained contributions. - Add `extend_line` parameter to make the brackets shorter or wider (#70). Thanks to @romanhaa for making the PR. - Adds a new package website: . - Minimum `ggplot2` version needed is bumped to `3.3.3`. - Minor internal refactoring - Adds snapshot and visual regression testing infrastructure. # Version 0.6.0 - Support plotmath expression and add new parameter `parse` to function. Fixes issue #64. Thanks to @IndrajeetPatil for the idea. # Version 0.5.0 - Fix typos in README.md (thanks to @SMargell) - `map_signif_level` can now take a user-supplied function to format the p-value (PR #52, thanks to @ilia-kats) # Version 0.4.0 - Fix bug that stopped textsize from working - Add `manual=TRUE` mode, which allows the parameters to be given as a data.frame # Version 0.3.0 - Simplify setting brackets at custom locations with xmin, xmax and y_position - Extend documentation - Bug fixes # Version 0.2.0 - Fixed bug, when `alpha()` from another package was loaded (issue #2) - Added additional parameters to customize bracket linetype, textsize, size (issue #5) - Fixed bug when annotation was identical for different brackets (issue #6) - Fixed bug when multiple comparisons referenced the same block (issue #8) # Version 0.1.0 - Initial release on CRAN: https://CRAN.R-project.org/package=ggsignif ggsignif/MD50000644000176200001440000000447714322021665012374 0ustar liggesusersf25fefcf24213470b9873042b6b63ea3 *DESCRIPTION d32239bcb673463ab874e80d47fae504 *LICENSE 3be750c01e493b8bccf2ae3cd898d506 *NAMESPACE 69bc7a82e68f6ad7a5c7941d0605e49b *NEWS.md 075adae0df3a10f533ad9b99343746d0 *R/geom_signif.R b4fe12876c37f8a22cde06e9701eecf0 *R/ggsignif-package.R 909516288898ccc383b62933d03a0872 *R/utilities.R f2b933e432b6ca2c874b77794f3d9e51 *build/vignette.rds f14667069e7e1761b56927eaec5a3930 *inst/CITATION 07e98ca9b1448ca3d35e84a2874bfd48 *inst/WORDLIST 40ab2ea725c4a05ad6756c0557c8581e *inst/doc/intro.R 42c38ebfd261d9c1e234133e4b4048e2 *inst/doc/intro.Rmd c054c469e78ad7a4374e6afae509f75d *inst/doc/intro.html 4a888233b165af6af15a30ca4c06df7e *man/figures/README-coord_flip-1.png ea0cccbf6d069c8fd989442a959f5180 *man/figures/README-dodge_comparison-1.png 0a1540b1ee22afb5ff3e3ea546f8f480 *man/figures/README-faceted_comparison-1.png 128257315392d59d6a8d82f86ef5356d *man/figures/README-orientation_argument-1.png ad29242635e3fd5717c9d8772e5ead42 *man/figures/README-simpe_comparison-1.png bc5a3f5ad6d2e4cfae7dec38a3beebc2 *man/figures/logo.svg 5efa86fe5afa87bc1605650e5c3d8833 *man/ggsignif-package.Rd c56e954c7e4af7e8de0963d20f6fcb1b *man/stat_signif.Rd 89c0ca88da70d70b8af16a2db0dfa74b *tests/testthat.R 747fa418b538d11e9f3c3dce2df56cfc *tests/testthat/Rplots.pdf df3558f16984a19295494c4cb2acbbd9 *tests/testthat/_snaps/errors.md 84320747d824306f8836acd13729e9ca *tests/testthat/_snaps/geom_signific_strict.md ec7fa185ea1bfcb1c8f1d5358fb5713e *tests/testthat/_snaps/snapshot_data.md 3b6ef3639fd1bbd87e0498db565a7f51 *tests/testthat/_snaps/vdiffr/basic-plot-vdiffr.svg b5f4148b13d61e13d25ce84b70b777c5 *tests/testthat/_snaps/vdiffr/flipping-aesthetics-works-vdiffr.svg 422c18f34b219dd99e1883257122377c *tests/testthat/_snaps/vdiffr/geom-works-the-same-way-as-stat-vdiffr.svg 9cb0d065bfacb3721038a71145b2dfb8 *tests/testthat/_snaps/vdiffr/geom-works-with-identity-vdiffr.svg b7d9dbaee6e30b6c04de59ceea4b8afa *tests/testthat/test-errors.R 62cf3c03f4611b29ec8fd25355545d99 *tests/testthat/test-geom_signific_basic.R a00d33eeac95a6de26f825e23b35c19c *tests/testthat/test-geom_signific_strict.R a8875a476746e31b43245b874e14d62f *tests/testthat/test-parsing.R 75256734fb01e859b8d64cb4655ae61f *tests/testthat/test-snapshot_data.R 2455ba6be6c032020ce4669e4f9b63e6 *tests/testthat/test-vdiffr.R 42c38ebfd261d9c1e234133e4b4048e2 *vignettes/intro.Rmd ggsignif/inst/0000755000176200001440000000000014322011435013017 5ustar liggesusersggsignif/inst/doc/0000755000176200001440000000000014322011435013564 5ustar liggesusersggsignif/inst/doc/intro.html0000644000176200001440000073115714322011435015623 0ustar liggesusers Introduction to ‘ggsignif’ package

Introduction to ‘ggsignif’ package

Constantin Ahlmann-Eltze and Indrajeet Patil

2022-10-13

Statement of Need

Research hypotheses often concern with differences between two or multiple groups and significance-based hypothesis testing can provide indices for evidence for such differences. Naturally, when people are visualizing such group differences, they might also wish to quickly annotate if the difference between two levels of group in a plot is significantly different (look at all those questions). This package does exactly that! It provides a single layer geom_signif which can calculate the significance of a difference between groups and add the annotation to the plot in a single line. In doing so, it further extends the fundamental strength of ggplot, which allows one to quickly make advanced plots by combining layers of visualization, which can encapsulate complex statistical methods (geom_smooth, geom_contour etc.).

How to use it?

Simple case

First step: load the needed packages.

library(ggplot2)
library(ggsignif)

Second step: plot your data.

ggplot(iris, aes(x = Species, y = Sepal.Length)) +
  geom_boxplot() + # using `ggsignif` to display comparison of interest
  geom_signif(
    comparisons = list(c("versicolor", "virginica")),
    map_signif_level = TRUE
  )

That’s it, it is as simple as that!

Note that, if we were to statistically analyze this data, we would run a one-way ANOVA to assess if any of the group means differ from each other and then follow up with post hoc multiple comparisons to do more fine-grained comparisons between different levels of the group. The ggsignif package provides a way to graphically display all or a few (depending on the research hypotheses context) of such comparisons.

Advanced options

Sometimes one might need more advanced control over the display. For example, instead of a one-way ANOVA design, you can have a complex multiway-ANOVA design. In such instances, you may wish to have a much finer control over which comparisons to include for pairwise comparison displays.

To specify exactly where the bracket is drawn use the y_position, xmin and xmax parameters combined with a custom annotations. This is always necessary if geom_signif is combined with another layer that uses position="dodge", because it changes the location of the visual elements without updating the data.

dat <- data.frame(
  Group = c("S1", "S1", "S2", "S2"),
  Sub = c("A", "B", "A", "B"),
  Value = c(3, 5, 7, 8)
)

ggplot(dat, aes(Group, Value)) +
  geom_bar(aes(fill = Sub), stat = "identity", position = "dodge", width = .5) +
  geom_signif(
    y_position = c(5.3, 8.3), xmin = c(0.8, 1.8), xmax = c(1.2, 2.2),
    annotation = c("**", "NS"), tip_length = 0
  ) +
  geom_signif(
    comparisons = list(c("S1", "S2")),
    y_position = 9.3, tip_length = 0, vjust = 0.2
  ) +
  scale_fill_manual(values = c("grey80", "grey20"))

For more detailed documentation of the available parameters see the manual page for the geom_signif function: https://const-ae.github.io/ggsignif/reference/stat_signif.html

Bugs, Comments or Questions?

If you have any problems with the package, just file an issue at https://github.com/const-ae/ggsignif.

ggsignif/inst/doc/intro.Rmd0000644000176200001440000001016114314536767015407 0ustar liggesusers--- title: "Introduction to 'ggsignif' package" author: "Constantin Ahlmann-Eltze and Indrajeet Patil" date: "`r Sys.Date()`" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Introduction to 'ggsignif' package} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r, echo=FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>", message = FALSE, warning = FALSE, dpi = 300, out.width = "100%", fig.width = 6, fig.height = 5 ) ``` # Statement of Need Research hypotheses often concern with differences between two or multiple groups and significance-based hypothesis testing can provide indices for evidence for such differences. Naturally, when people are visualizing such group differences, they might also wish to quickly annotate if the difference between two levels of group in a plot is significantly different ([look](https://stackoverflow.com/questions/17084566/put-stars-on-ggplot-barplots-and-boxplots-to-indicate-the-level-of-significanc) [at](https://stackoverflow.com/questions/14958159/indicating-the-statistically-significant-difference-in-bar-graph-using-r) [all](https://stackoverflow.com/questions/29263046/how-to-draw-the-boxplot-with-significant-level) [those](https://stackoverflow.com/questions/29186435/showing-significance-relationships-in-a-ggplot2-bar-graph) [questions](https://groups.google.com/forum/#!topic/ggplot2/ntVlMqTc6PI)). This package does exactly that! It provides a single layer `geom_signif` which can calculate the significance of a difference between groups and add the annotation to the plot in a single line. In doing so, it further extends the fundamental strength of `ggplot`, which allows one to quickly make advanced plots by combining layers of visualization, which can encapsulate complex statistical methods (`geom_smooth`, `geom_contour` etc.). # How to use it? ## Simple case First step: load the needed packages. ```{r} library(ggplot2) library(ggsignif) ``` Second step: plot your data. ```{r simple} ggplot(iris, aes(x = Species, y = Sepal.Length)) + geom_boxplot() + # using `ggsignif` to display comparison of interest geom_signif( comparisons = list(c("versicolor", "virginica")), map_signif_level = TRUE ) ``` That's it, it is as simple as that! Note that, if we were to statistically analyze this data, we would run a one-way ANOVA to assess if *any* of the group means differ from each other and then follow up with *post hoc* multiple comparisons to do more fine-grained comparisons between different levels of the group. The `ggsignif` package provides a way to graphically display all or a few (depending on the research hypotheses context) of such comparisons. ## Advanced options Sometimes one might need more advanced control over the display. For example, instead of a one-way ANOVA design, you can have a complex multiway-ANOVA design. In such instances, you may wish to have a much finer control over which comparisons to include for pairwise comparison displays. To specify exactly where the bracket is drawn use the `y_position`, `xmin` and `xmax` parameters combined with a custom `annotations`. This is always necessary if `geom_signif` is combined with another layer that uses `position="dodge"`, because it changes the location of the visual elements *without* updating the data. ```{r advanced} dat <- data.frame( Group = c("S1", "S1", "S2", "S2"), Sub = c("A", "B", "A", "B"), Value = c(3, 5, 7, 8) ) ggplot(dat, aes(Group, Value)) + geom_bar(aes(fill = Sub), stat = "identity", position = "dodge", width = .5) + geom_signif( y_position = c(5.3, 8.3), xmin = c(0.8, 1.8), xmax = c(1.2, 2.2), annotation = c("**", "NS"), tip_length = 0 ) + geom_signif( comparisons = list(c("S1", "S2")), y_position = 9.3, tip_length = 0, vjust = 0.2 ) + scale_fill_manual(values = c("grey80", "grey20")) ``` For more detailed documentation of the available parameters see the manual page for the `geom_signif` function: # Bugs, Comments or Questions? If you have any problems with the package, just file an issue at https://github.com/const-ae/ggsignif. ggsignif/inst/doc/intro.R0000644000176200001440000000240414322011434015041 0ustar liggesusers## ---- echo=FALSE-------------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>", message = FALSE, warning = FALSE, dpi = 300, out.width = "100%", fig.width = 6, fig.height = 5 ) ## ----------------------------------------------------------------------------- library(ggplot2) library(ggsignif) ## ----simple------------------------------------------------------------------- ggplot(iris, aes(x = Species, y = Sepal.Length)) + geom_boxplot() + # using `ggsignif` to display comparison of interest geom_signif( comparisons = list(c("versicolor", "virginica")), map_signif_level = TRUE ) ## ----advanced----------------------------------------------------------------- dat <- data.frame( Group = c("S1", "S1", "S2", "S2"), Sub = c("A", "B", "A", "B"), Value = c(3, 5, 7, 8) ) ggplot(dat, aes(Group, Value)) + geom_bar(aes(fill = Sub), stat = "identity", position = "dodge", width = .5) + geom_signif( y_position = c(5.3, 8.3), xmin = c(0.8, 1.8), xmax = c(1.2, 2.2), annotation = c("**", "NS"), tip_length = 0 ) + geom_signif( comparisons = list(c("S1", "S2")), y_position = 9.3, tip_length = 0, vjust = 0.2 ) + scale_fill_manual(values = c("grey80", "grey20")) ggsignif/inst/CITATION0000644000176200001440000000105214061606743014166 0ustar liggesuserscitHeader("To cite 'ggsignif' in publications use:") citEntry( entry = "Article", title = "{ggsignif}: R Package for Displaying Significance Brackets for {'ggplot2'}", author = c(person("Ahlmann-Eltze", "Constantin"), person("Indrajeet", "Patil")), year = 2021, journal = "PsyArxiv", url = "https://psyarxiv.com/7awm6", doi = "10.31234/osf.io/7awm6", textVersion = "Ahlmann-Eltze, C., & Patil, I. (2021). ggsignif: R Package for Displaying Significance Brackets for 'ggplot2'. PsyArxiv. doi:10.31234/osf.io/7awm6" ) ggsignif/inst/WORDLIST0000644000176200001440000000030514112133337014212 0ustar liggesusersAhlmann CRAN's Codecov Eltze NA’ ORCID README ae behaviour const coord ggplot ggplots github https io lifecycle linetype md multiway patilindrajeets plotmath signif textsize wilcox xmax xmin ’