matlab/0000755000176200001440000000000012352367302011515 5ustar liggesusersmatlab/inst/0000755000176200001440000000000012352364133012471 5ustar liggesusersmatlab/inst/COPYRIGHTS0000644000176200001440000000054212350633611014106 0ustar liggesusers### ### $Id: COPYRIGHTS 58 2014-06-19 19:18:33Z plroebuck $ ### Format: http://www.debian.org/doc/packaging-manuals/copyright-format/1.0/ Upstream-Name: matlab Upstream-Contact: P. Roebuck Source: http://cran.r-project.org/package=matlab Files: * Copyright: 2004-2014, MD Anderson Cancer Center (MDACC) License: Artistic-2.0 matlab/tests/0000755000176200001440000000000012352364133012656 5ustar liggesusersmatlab/tests/zeros.R0000644000176200001440000000114412274525624014152 0ustar liggesusers### ### $Id: zeros.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.zeros <- function(input, expected) { output <- do.call(getFromNamespace("zeros", "matlab"), input) identical(output, expected) } zeros.expected.3x3 <- matrix(0, nrow = 3, ncol = 3) zeros.expected.4x2 <- matrix(0, nrow = 4, ncol = 2) test.zeros(list(n = 3), zeros.expected.3x3) test.zeros(list(n = c(4, 2)), zeros.expected.4x2) test.zeros(list(m = 4, n = 2), zeros.expected.4x2) test.zeros(list(n = matlab::size(zeros.expected.4x2)), zeros.expected.4x2) matlab/tests/hilb.R0000644000176200001440000000126012274525624013725 0ustar liggesusers### ### $Id: hilb.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.hilb <- function(input, expected) { output <- do.call(getFromNamespace("hilb", "matlab"), input) identical(output, expected) } hilb.expected.na.nodim <- matrix(NA, nrow=0, ncol=0) hilb.expected.zero.nodim <- matrix(0, nrow=0, ncol=0) hilb.expected.one <- matrix(1, nrow=1, ncol=1) hilb.expected.five <- 1 / matrix(c(1:5,2:6,3:7,4:8,5:9), nrow=5, ncol=5) test.hilb(list(n=-1), hilb.expected.na.nodim) test.hilb(list(n=0), hilb.expected.zero.nodim) test.hilb(list(n=1), hilb.expected.one) test.hilb(list(n=5), hilb.expected.five) matlab/tests/padarray.R0000644000176200001440000000471212274525624014617 0ustar liggesusers### ### $Id: padarray.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.padarray <- function(input, expected) { output <- do.call(getFromNamespace("padarray", "matlab"), input) identical(output, expected) } ## Add three elements of padding to beginning of vector ## The padding elements contain mirror copies of the array padarray.expected.mat4x4 <- matrix(1:4, 4, 4, byrow = TRUE) test.padarray(list(A = 1:4, padsize = 3, padval = "symmetric", direction = "pre"), padarray.expected.mat4x4) ## Add three elements of padding to the end of the first dimension of array ## and two elements of padding to the end of the second dimension. ## Use value of the last array element as the padding value. Amat.2x2 <- matrix(as.numeric(1:4), nrow = 2, ncol = 2, byrow = TRUE) padarray.expected.mat5x4 <- matrix(c(1, 2, 2, 2, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4), nrow = 5, ncol = 4, byrow = TRUE) test.padarray(list(A = Amat.2x2, padsize = c(3, 2), padval = "replicate", direction = "post"), padarray.expected.mat5x4) ## Add three elements of padding to each dimension of a three-dimensional array. ## Each pad element contains the value zero. Bmat.2x2 <- matrix(5:8, nrow = 2, ncol = 2, byrow = TRUE) Carr.2x2x2 <- array(c(Amat.2x2, Bmat.2x2), c(2, 2, 2)) padarray.expected.arr8x8x2 <- { A <- array(0, c(8, 8, 2)) A[4:5, 4:5, 1] <- Amat.2x2 A[4:5, 4:5, 2] <- Bmat.2x2 A } test.padarray(list(A = Carr.2x2x2, padsize = c(3, 3), padval = 0, direction = "both"), padarray.expected.arr8x8x2) ## Add three elements of padding to end of vector ## The padding elements contain a mirror copy of the vector padarray.expected.vec <- c(letters[1:5], rev(letters[3:5])) test.padarray(list(A = letters[1:5], padsize = c(0, 3), padval = "symmetric", direction = "post"), padarray.expected.vec) matlab/tests/pascal.R0000644000176200001440000000166312274525624014261 0ustar liggesusers### ### $Id: pascal.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.pascal <- function(input, expected) { output <- do.call(getFromNamespace("pascal", "matlab"), input) identical(output, expected) } pascal.expected.n4 <- matrix(c(1, 1, 1, 1, 1, 2, 3, 4, 1, 3, 6, 10, 1, 4, 10, 20), 4, byrow = TRUE) test.pascal(list(n = 4), pascal.expected.n4) pascal.expected.n3k1 <- matrix(c(1, 0, 0, 1, -1, 0, 1, -2, 1), 3, byrow = TRUE) test.pascal(list(n = 3, k = 1), pascal.expected.n3k1) pascal.expected.n3k2 <- matrix(c(1, 1, 1, -2, -1, 0, 1, 0, 0), 3, byrow = TRUE) test.pascal(list(n = 3, k = 2), pascal.expected.n3k2) matlab/tests/nextpow2.R0000644000176200001440000000170412274525624014600 0ustar liggesusers### ### $Id: nextpow2.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.nextpow2 <- function(input, expected) { output <- do.call(getFromNamespace("nextpow2", "matlab"), input) identical(output, expected) } nextpow2.expected.0 <- 0 nextpow2.expected.vector <- c(0, 1, 2, 2, 3, 3, 3, 3, 4, 4) nextpow2.expected.matrix <- matrix(c(0, 1, 1, 0), nrow=2, ncol=2) nextpow2.expected.16 <- 4 nextpow2.expected.m16 <- 4 nextpow2.expected.m6 <- -19 nextpow2.expected.mq <- -2 test.nextpow2(list(x=0), nextpow2.expected.0) test.nextpow2(list(x=1:10), nextpow2.expected.vector) test.nextpow2(list(x=matrix(c(1i, 2i, 2+0i, 0+0i), nrow=2, ncol=2)), nextpow2.expected.matrix) test.nextpow2(list(x=16), nextpow2.expected.16) test.nextpow2(list(x=-16), nextpow2.expected.m16) test.nextpow2(list(x=1e-6), nextpow2.expected.m6) test.nextpow2(list(x=-0.25), nextpow2.expected.mq) matlab/tests/repmat.R0000644000176200001440000000245312274525624014304 0ustar liggesusers### ### $Id: repmat.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.repmat <- function(input, expected) { output <- do.call(getFromNamespace("repmat", "matlab"), input) identical(output, expected) } X.scalar <- 1 repmat.expected.ones.3x3 <- matlab::ones(3) repmat.expected.ones.4x2 <- matlab::ones(4, 2) test.repmat(list(A = X.scalar, n = 3), repmat.expected.ones.3x3) test.repmat(list(A = X.scalar, m = c(4, 2)), repmat.expected.ones.4x2) test.repmat(list(A = X.scalar, m = 4, n = 2), repmat.expected.ones.4x2) test.repmat(list(A = X.scalar, n = matlab::size(repmat.expected.ones.4x2)), repmat.expected.ones.4x2) X.mat <- matlab::eye(2) repmat.expected.pat1 <- matrix(c(rep(c(1,0), times=3), rep(c(0,1), times=3)), nrow = 6, ncol = 6) test.repmat(list(A = X.mat, m = 3), repmat.expected.pat1) test.repmat(list(A = X.mat[, 1], c(1, 1)), X.mat[, 1]) X.vec <- as.numeric(1:8) repmat.expected.pat2 <- matrix(rep(X.vec, 5), nrow = 5, byrow = TRUE) test.repmat(list(A = as.matrix(X.vec), m = c(5, 1)), repmat.expected.pat2) X.str <- "value" repmat.expected.str <- matrix(rep(X.str, 4), nrow = 1) test.repmat(list(A = X.str, m = 1, n = 4), repmat.expected.str) matlab/tests/ones.R0000644000176200001440000000112612274525624013754 0ustar liggesusers### ### $Id: ones.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.ones <- function(input, expected) { output <- do.call(getFromNamespace("ones", "matlab"), input) identical(output, expected) } ones.expected.3x3 <- matrix(1, nrow = 3, ncol = 3) ones.expected.4x2 <- matrix(1, nrow = 4, ncol = 2) test.ones(list(n = 3), ones.expected.3x3) test.ones(list(n = c(4, 2)), ones.expected.4x2) test.ones(list(m = 4, n = 2), ones.expected.4x2) test.ones(list(n = matlab::size(ones.expected.4x2)), ones.expected.4x2) matlab/tests/fileparts.R0000644000176200001440000001211012274525624014774 0ustar liggesusers### ### $Id: fileparts.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.fileparts <- function(input, expected) { output <- do.call(getFromNamespace("fileparts", "matlab"), input) identical(output, expected) } ext <- ".ext" gz <- ".gz" file.without.ext <- "myfile" file.with.ext <- paste(file.without.ext, ext, sep = "") file.with.ext.gz <- paste(file.with.ext, gz, sep = "") hidden.file <- ".profile" user.name <- "luser" abs.dir <- paste("", "home", user.name, sep = "/") rel.cur.dir <- "." rel.parent.dir <- ".." tilde.dir <- "~" tilde.user.dir <- paste(tilde.dir, user.name, sep = "") abs.dir.file.with.ext <- paste(abs.dir, file.with.ext, sep = "/") abs.dir.file.with.ext.gz <- paste(abs.dir, file.with.ext.gz, sep = "/") abs.dir.file.without.ext <- paste(abs.dir, file.without.ext, sep = "/") abs.dir.hidden.file <- paste(abs.dir, hidden.file, sep = "/") abs.dir.trailing.slash <- paste(abs.dir, "", sep = "/") abs.rel.cur.dir <- paste(abs.dir, rel.cur.dir, sep = "/") abs.rel.parent.dir <- paste(abs.dir, rel.parent.dir, sep = "/") rel.cur.dir.file.with.ext <- paste(rel.cur.dir, file.with.ext, sep = "/") rel.cur.dir.file.without.ext <- paste(rel.cur.dir, file.without.ext, sep = "/") rel.cur.dir.hidden.file <- paste(rel.cur.dir, hidden.file, sep = "/") rel.cur.dir.trailing.slash <- paste(rel.cur.dir, "", sep = "/") tilde.dir.trailing.slash <- paste(tilde.dir, "", sep = "/") tilde.user.dir.trailing.slash <- paste(tilde.user.dir, "", sep = "/") ## 'myfile.ext' test.fileparts(list(file.with.ext), list(pathstr = "", name = file.without.ext, ext = ext, versn = "")) ## '/home/luser/myfile.ext' test.fileparts(list(abs.dir.file.with.ext), list(pathstr = abs.dir, name = file.without.ext, ext = ext, versn = "")) ## '/home/luser/myfile.ext.gz' test.fileparts(list(abs.dir.file.with.ext.gz), list(pathstr = abs.dir, name = file.with.ext, ext = gz, versn = "")) ## '/home/luser/myfile' test.fileparts(list(abs.dir.file.without.ext), list(pathstr = abs.dir, name = file.without.ext, ext = "", versn = "")) ## '/home/luser/.profile' test.fileparts(list(abs.dir.hidden.file), list(pathstr = abs.dir, name = character(0), ext = hidden.file, versn = "")) ## '/home/luser' test.fileparts(list(abs.dir), list(pathstr = dirname(abs.dir), name = basename(abs.dir), ext = "", versn = "")) ## '/home/luser/' test.fileparts(list(abs.dir.trailing.slash), list(pathstr = abs.dir, name = character(0), ext = "", versn = "")) ## './myfile.ext' test.fileparts(list(rel.cur.dir.file.with.ext), list(pathstr = rel.cur.dir, name = file.without.ext, ext = ext, versn = "")) ## './myfile' test.fileparts(list(rel.cur.dir.file.without.ext), list(pathstr = rel.cur.dir, name = file.without.ext, ext = "", versn = "")) ## './.profile' test.fileparts(list(rel.cur.dir.hidden.file), list(pathstr = rel.cur.dir, name = character(0), ext = hidden.file, versn = "")) ## '.' test.fileparts(list(rel.cur.dir), list(pathstr = "", name = character(0), ext = ".", versn = "")) ## '..' test.fileparts(list(rel.parent.dir), list(pathstr = "", name = ".", ext = ".", versn = "")) ## './' test.fileparts(list(rel.cur.dir.trailing.slash), list(pathstr = rel.cur.dir, name = character(0), ext = "", versn = "")) ## "~" test.fileparts(list(tilde.dir), list(pathstr = "", name = tilde.dir, ext = "", versn = "")) ## "~/" test.fileparts(list(tilde.dir.trailing.slash), list(pathstr = tilde.dir, name = character(0), ext = "", versn = "")) ## "~luser" test.fileparts(list(tilde.user.dir), list(pathstr = "", name = tilde.user.dir, ext = "", versn = "")) ## "~luser/" test.fileparts(list(tilde.user.dir.trailing.slash), list(pathstr = tilde.user.dir, name = character(0), ext = "", versn = "")) matlab/tests/size.R0000644000176200001440000000204312274525624013761 0ustar liggesusers### ### $Id: size.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.size <- function(input, expected) { output <- do.call(getFromNamespace("size", "matlab"), input) identical(as.integer(output), expected) } X.vec <- 2:9 size.expected.X.vec <- c(1, length(X.vec)) test.size(list(X = X.vec), size.expected.X.vec) test.size(list(X = X.vec, 1), as.integer(1)) test.size(list(X = X.vec, 2), length(X.vec)) X.mat <- matrix(X.vec, 4, 2) size.expected.X.mat <- dim(X.mat) test.size(list(X = X.mat), size.expected.X.mat) test.size(list(X = X.mat, 1), size.expected.X.mat[1]) test.size(list(X = X.mat, 2), size.expected.X.mat[2]) test.size(list(X = X.mat, 3), as.integer(1)) # singleton dimension X.arr <- array(2:25, c(4, 3, 2)) size.expected.X.arr <- dim(X.arr) test.size(list(X = X.arr), size.expected.X.arr) test.size(list(X = X.arr, 1), size.expected.X.arr[1]) test.size(list(X = X.arr, 2), size.expected.X.arr[2]) test.size(list(X = X.arr, 3), size.expected.X.arr[3]) matlab/tests/pow2.R0000644000176200001440000000127512274525624013704 0ustar liggesusers### ### $Id: pow2.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.pow2 <- function(input, expected) { output <- do.call(getFromNamespace("pow2", "matlab"), input) identical(output, expected) } pow2.expected.00 <- 0 pow2.expected.m1 <- -0.5 pow2.expected.f <- c(1, 2, 4, 8) pow2.expected.fe <- c(0, 0.5, -8, 24) pow2.expected.complex <- c(2^(1i), 2^(-1i)) test.pow2(list(f=0, e=0), pow2.expected.00) test.pow2(list(f=-1, e=-1), pow2.expected.m1) test.pow2(list(f=0:3), pow2.expected.f) test.pow2(list(f=c(0, 1, -2, 3), e=c(0, -1, 2, 3)), pow2.expected.fe) test.pow2(list(f=c(1i, -1i)), pow2.expected.complex) matlab/tests/mkconstarray.R0000644000176200001440000000060512274525624015526 0ustar liggesusers### ### $Id: mkconstarray.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.mkconstarray <- function(input, expected) { output <- do.call(getFromNamespace("mkconstarray", "matlab"), input) identical(output, expected) } test.mkconstarray(list(class.type = "double", value = pi, size = 4), rep(pi, 4)) matlab/tests/ndims.R0000644000176200001440000000062512274525624014125 0ustar liggesusers### ### $Id: ndims.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.ndims <- function(input, expected) { output <- do.call(getFromNamespace("ndims", "matlab"), input) identical(output, expected) } test.ndims(list(A = array(NA, c(4, 4, 2))), 3) test.ndims(list(A = matlab::magic(4)), 2) test.ndims(list(A = 1:5), 2) matlab/tests/fullfile.R0000644000176200001440000000100012274525624014601 0ustar liggesusers### ### $Id: fullfile.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.fullfile <- function(input, expected) { output <- do.call(getFromNamespace("fullfile", "matlab"), input) identical(output, expected) } fullfile.expected <- file.path(path.expand("~"), "somedir", "foo.txt") test.fullfile(list(dir = path.expand("~"), subdir = "somedir", file = "foo.txt"), fullfile.expected) matlab/tests/primes.R0000644000176200001440000000217512274525624014314 0ustar liggesusers### ### $Id: primes.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.primes <- function(input, expected) { output <- do.call(getFromNamespace("primes", "matlab"), input) identical(output, expected) } primes.expected.101 <- c( 2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97, 101) primes.expected.n37 <- primes.expected.101[1:12] primes.expected.n13 <- primes.expected.101[1:6] primes.expected.n8 <- c(2, 3, 5, 7) primes.expected.n5 <- c(2, 3, 5) primes.expected.n3 <- c(2, 3) primes.expected.n2 <- 2 primes.expected.n1 <- NULL test.primes(list(n=1), primes.expected.n1) test.primes(list(n=2), primes.expected.n2) test.primes(list(n=3), primes.expected.n3) test.primes(list(n=5), primes.expected.n5) test.primes(list(n=8), primes.expected.n8) test.primes(list(n=13), primes.expected.n13) test.primes(list(n=37), primes.expected.n37) test.primes(list(n=101), primes.expected.101) matlab/tests/strcmp.R0000644000176200001440000000144012274525624014317 0ustar liggesusers### ### $Id: strcmp.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.strcmp <- function(input, expected) { output <- do.call(getFromNamespace("strcmp", "matlab"), input) identical(output, expected) } test.strcmp(list(S = "foo", T = "foo"), TRUE) test.strcmp(list(S = "foo", T = "bar"), FALSE) test.strcmp(list(S = c("foo", "bar"), T = c("foo", "bar")), TRUE) # Case matters... test.strcmp(list(S = c("foo", "bar"), T = c("FOO", "BAR")), FALSE) # Number of elements of each must match... test.strcmp(list(S = c("foo", "bar"), T = c("foo", "bar", "baz")), FALSE) test.strcmp(list(S = c("foo", "bar", "baz"), T = c("xxx", "bar", "xxx")), FALSE) matlab/tests/isempty.R0000644000176200001440000000112512274525624014501 0ustar liggesusers### ### $Id: isempty.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.isempty <- function(input, expected) { output <- do.call(getFromNamespace("isempty", "matlab"), input) identical(output, expected) } test.isempty(list(A = 1:3), FALSE) test.isempty(list(A = numeric(0)), TRUE) test.isempty(list(A = matrix(NA, nrow = 2, ncol = 2)), FALSE) test.isempty(list(A = matrix(NA, nrow = 0, ncol = 2)), TRUE) test.isempty(list(A = array(NA, c(2, 2, 2))), FALSE) test.isempty(list(A = array(NA, c(2, 0, 2))), TRUE) matlab/tests/jet.colors.R0000644000176200001440000000136612274525624015100 0ustar liggesusers### ### $Id: jet.colors.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.jet.colors <- function(input, expected) { output <- do.call(getFromNamespace("jet.colors", "matlab"), input) identical(output, expected) } jet.expected.m0 <- character(0) jet.expected.m1 <- "#00FFFF" jet.expected.m8 <- c("#0000FF", "#0080FF", "#00FFFF", "#80FF80", "#FFFF00", "#FF8000", "#FF0000", "#800000") test.jet.colors(list(n = 0), jet.expected.m0) test.jet.colors(list(n = 1), jet.expected.m1) test.jet.colors(list(n = 8), jet.expected.m8) matlab/tests/magic.R0000644000176200001440000000405712274525624014076 0ustar liggesusers### ### $Id: magic.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.magic <- function(input, expected) { output <- do.call(getFromNamespace("magic", "matlab"), input) identical(output, expected) } magic.expected.3 <- matrix(c(8, 1, 6, 3, 5, 7, 4, 9, 2), nrow = 3, ncol = 3, byrow = TRUE) magic.expected.4 <- matrix(c(16, 2, 3, 13, 5, 11, 10, 8, 9, 7, 6, 12, 4, 14, 15, 1), nrow = 4, ncol = 4, byrow = TRUE) magic.expected.6 <- matrix(c(35, 1, 6, 26, 19, 24, 3, 32, 7, 21, 23, 25, 31, 9, 2, 22, 27, 20, 8, 28, 33, 17, 10, 15, 30, 5, 34, 12, 14, 16, 4, 36, 29, 13, 18, 11), nrow = 6, ncol = 6, byrow = TRUE) magic.expected.10 <- matrix(c(92, 99, 1, 8, 15, 67, 74, 51, 58, 40, 98, 80, 7, 14, 16, 73, 55, 57, 64, 41, 4, 81, 88, 20, 22, 54, 56, 63, 70, 47, 85, 87, 19, 21, 3, 60, 62, 69, 71, 28, 86, 93, 25, 2, 9, 61, 68, 75, 52, 34, 17, 24, 76, 83, 90, 42, 49, 26, 33, 65, 23, 5, 82, 89, 91, 48, 30, 32, 39, 66, 79, 6, 13, 95, 97, 29, 31, 38, 45, 72, 10, 12, 94, 96, 78, 35, 37, 44, 46, 53, 11, 18,100, 77, 84, 36, 43, 50, 27, 59), nrow = 10, ncol = 10, byrow = TRUE) test.magic(list(n = 3), magic.expected.3) # 'n' odd test.magic(list(n = 4), magic.expected.4) # 'n' divisible by four test.magic(list(n = 6), magic.expected.6) # 'n' even but not divisible by four test.magic(list(n = 10), magic.expected.10) matlab/tests/meshgrid.R0000644000176200001440000000314312274525624014613 0ustar liggesusers### ### $Id: meshgrid.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.meshgrid <- function(input, expected) { output <- do.call(getFromNamespace("meshgrid", "matlab"), input) identical(output, expected) } x1 <- 1:3 y1 <- 10:14 meshgrid.expected.xy <- list(x = matrix(rep(x1, length(y1)), nrow = length(y1), ncol = length(x1), byrow = TRUE), y = matrix(rep(y1, length(x1)), nrow = length(y1), ncol = length(x1))) test.meshgrid(list(x = 0), meshgrid.expected.xy) test.meshgrid(list(x = x1, y = y1), meshgrid.expected.xy) x2 <- 5:8 y2 <- 10:14 z2 <- 2:3 meshgrid.expected.xyz <- list(x = array(matrix(rep(x2, length(y2)), nrow = length(y2), ncol = length(x2), byrow = TRUE), c(length(y2), length(x2), length(z2))), y = array(rep(y2, length(x2)), c(length(y2), length(x2), length(z2))), z = array(sapply(z2, function(val, len) rep(val, len), length(y2) * length(x2)), c(length(y2), length(x2), length(z2)))) test.meshgrid(list(x = x2, y = y2, z = z2, nargout = 3), meshgrid.expected.xyz) matlab/tests/sum.R0000644000176200001440000000164412274525624013621 0ustar liggesusers### ### $Id: sum.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.sum <- function(input, expected) { output <- do.call(getFromNamespace("sum", "matlab"), input) identical(all.equal(output, expected, tolerance = 0.0001), TRUE) } X.vec <- 1:9 sum.expected.vec <- 45 cat("vector test", "\n") test.sum(list(x = X.vec, na.rm = FALSE), sum.expected.vec) X.mat <- matrix(X.vec, 3, 3, byrow = TRUE) sum.expected.mat.by.col <- c(12, 15, 18) sum.expected.mat.by.row <- c(6, 15, 24) cat("matrix test", "\n") test.sum(list(x = X.mat, na.rm = FALSE), sum.expected.mat.by.col) test.sum(list(x = t(X.mat), na.rm = FALSE), sum.expected.mat.by.row) X.log <- c(TRUE, TRUE, FALSE, TRUE) sum.expected.log <- 3 cat("logical test", "\n") test.sum(list(x = X.log, na.rm = FALSE), sum.expected.log) matlab/tests/isprime.R0000644000176200001440000000240612274525624014462 0ustar liggesusers### ### $Id: isprime.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.isprime <- function(input, expected) { output <- do.call(getFromNamespace("isprime", "matlab"), input) identical(output, expected) } isprime.expected.n1 <- 0 isprime.expected.n2 <- 1 isprime.expected.n100 <- c(0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0) isprime.expected.10x10 <- matrix(isprime.expected.n100, nrow=10, ncol=10, byrow=TRUE) test.isprime(list(x=1), isprime.expected.n1) test.isprime(list(x=2), isprime.expected.n2) test.isprime(list(x=1:100), isprime.expected.n100) test.isprime(list(x=matrix(1:100, nrow=10, 10, byrow=TRUE)), isprime.expected.n100) matlab/tests/vander.R0000644000176200001440000000233512274525624014272 0ustar liggesusers### ### $Id: vander.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.vander <- function(input, expected) { output <- do.call(getFromNamespace("vander", "matlab"), input) identical(output, expected) } vander.expected.empty <- matrix(as.numeric(NA), nrow=0, ncol=0) vander.expected.scalar <- matrix(1.0, nrow=1, ncol=1) vander.expected.seq3 <- matrix(c( 1, 1, 1, 1, 1, 5.0625, 3.375, 2.25, 1.5, 1, 16, 8, 4, 2, 1, 39.0625, 15.625, 6.25, 2.5, 1, 81, 27, 9, 3, 1), nrow=5, ncol=5, byrow=TRUE) vander.expected.complex <- matrix(c(-1, 0.0 + 1i, 1.0, -4, 0.0 + 2i, 1.0, -9, 0.0 + 3i, 1.0), nrow=3, ncol=3, byrow=TRUE) test.vander(list(v=numeric()), vander.expected.empty) test.vander(list(v=1), vander.expected.scalar) test.vander(list(v=seq(from=1, to=3, by=0.5)), vander.expected.seq3) test.vander(list(v=c(1,2,3)*1i), vander.expected.complex) matlab/tests/mod.R0000644000176200001440000000211112274525624013562 0ustar liggesusers### ### $Id: mod.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.mod <- function(input, expected) { output <- do.call(getFromNamespace("mod", "matlab"), input) identical(output, expected) } mod.expected.scalar <- 3 mod.expected.vec <- c(1, 2, 0, 1, 2) test.mod(list(x = 13, y = 5), mod.expected.scalar) test.mod(list(x = 1:5, y = 3), mod.expected.vec) ## by convention any.nonzero <- 1 test.mod(list(x = any.nonzero, y = 0), any.nonzero) ## HWB 2011/03/08 test.mod(list(x = any.nonzero, y = any.nonzero), 0) ## get complicated test.mod(list(x = 5, y = c(1, 2, 0, NaN, Inf)), c(0, 1, 5, NaN, NaN)) test.mod(list(x = 1:5, y = c(1, 2, 0, NaN, Inf)), c(0, 0, 3, NaN, NaN)) ## rem & mod give same results with X, Y having same sign test.mod(list(x = 5, y = 3), matlab::rem(5, 3)) test.mod(list(x = -5, y = -3), matlab::rem(-5, -3)) ## alternate formula used when X, Y having different signs test.mod(list(x = 5, y = -3), (matlab::rem(5, -3) - -3)) test.mod(list(x = -5, y = 3), (matlab::rem(-5, 3) - 3)) matlab/tests/cell.R0000644000176200001440000000131312274525624013725 0ustar liggesusers### ### $Id: cell.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.cell <- function(input, expected) { output <- do.call(getFromNamespace("cell", "matlab"), input) identical(output, expected) } cell.expected.2x2 <- list() length(cell.expected.2x2) <- prod(dims <- c(2, 2)) dim(cell.expected.2x2) <- dims cell.expected.4x2 <- list() length(cell.expected.4x2) <- prod(dims <- c(4, 2)) dim(cell.expected.4x2) <- dims test.cell(list(n = 2), cell.expected.2x2) test.cell(list(n = c(4, 2)), cell.expected.4x2) test.cell(list(n = 4, m = 2), cell.expected.4x2) test.cell(list(n = matlab::size(matlab::ones(2))), cell.expected.2x2) matlab/tests/rot90.R0000644000176200001440000000142512274525624013767 0ustar liggesusers### ### $Id: rot90.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.rot90 <- function(input, expected) { output <- do.call(getFromNamespace("rot90", "matlab"), input) identical(output, expected) } X.mat <- matrix(1:9, nrow = 3, byrow = TRUE) rot90.expected.X.mat <- matrix(c(3:1, 6:4, 9:7), nrow = 3) rot180.expected.X.mat <- matrix(c(9:7, 6:4, 3:1), nrow = 3, byrow = TRUE) rot270.expected.X.mat <- matrix(c(7:9, 4:6, 1:3), nrow = 3) rot360.expected.X.mat <- X.mat test.rot90(list(A = X.mat, k = 1), rot90.expected.X.mat) test.rot90(list(A = X.mat, k = 2), rot180.expected.X.mat) test.rot90(list(A = X.mat, k = 3), rot270.expected.X.mat) test.rot90(list(A = X.mat, k = 4), rot360.expected.X.mat) matlab/tests/linspace.R0000644000176200001440000000142212274525624014605 0ustar liggesusers### ### $Id: linspace.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.linspace <- function(input, expected) { output <- do.call(getFromNamespace("linspace", "matlab"), input) identical(output, expected) } linspace.expected.100 <- as.numeric(1:100) linspace.expected.25x5 <- c(0, 6.25, 12.50, 18.75, 25) linspace.expected.len1 <- 25 test.linspace(list(a = 1, b = 100), linspace.expected.100) test.linspace(list(a = 0, b = 25, n = 5), linspace.expected.25x5) test.linspace(list(a = 1, b = 25, n = 1), linspace.expected.len1) ## more rigorously this time test.linspace(list(a = 0, b = 1, n = 2.5), 0:1) ## HWB 2011/02/03 test.linspace(list(a = 0, b = 1, n = 3.9), seq(0, 1, length=floor(3))) matlab/tests/tictoc.R0000644000176200001440000000057012274525624014277 0ustar liggesusers### ### $Id: tictoc.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.toc <- function(delay, expected) { Sys.sleep(delay) output <- matlab::toc(FALSE) all.equal(output, expected, tolerance = 0.10) } matlab::tic() try(test.toc(4, 4)) try(test.toc(2, 4+2)) matlab/tests/reshape.R0000644000176200001440000000155712274525624014447 0ustar liggesusers### ### $Id: reshape.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.reshape <- function(input, expected, drop = FALSE) { ans <- do.call(getFromNamespace("reshape", "matlab"), input) output <- if (drop) { drop(ans) } else { ans } identical(output, expected) } Xmat.4x3 <- matrix(1:12, nrow = 4, ncol = 3) reshape.expected.mat6x2 <- matrix(1:12, nrow = 6, ncol = 2) test.reshape(list(A = Xmat.4x3, m = 6, n = 2), reshape.expected.mat6x2) test.reshape(list(A = Xmat.4x3, m = 6, n = 2, p = 1), reshape.expected.mat6x2, drop = TRUE) test.reshape(list(A = Xmat.4x3, c(6, 2)), reshape.expected.mat6x2) test.reshape(list(A = Xmat.4x3, matlab::size(reshape.expected.mat6x2)), reshape.expected.mat6x2) matlab/tests/rem.R0000644000176200001440000000254612274525624013602 0ustar liggesusers### ### $Id: rem.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.rem <- function(input, expected) { output <- do.call(getFromNamespace("rem", "matlab"), input) identical(output, expected) } X.mat <- matrix(1:9, nrow = 3, byrow = TRUE) rem.expected.X.mat <- matrix(c(3:1, 6:4, 9:7), nrow = 3, byrow = TRUE) rem.expected.X.mat.Y0 <- matrix(rep(NaN, length(X.mat)), nrow = nrow(X.mat)) rem.expected.X.mat.Y1 <- matrix(rep(1, length(X.mat)), nrow = nrow(X.mat)) rem.expected.X.mat.Y2 <- matrix(rep(c(1, 0), 5)[1:length(X.mat)], nrow = nrow(X.mat)) rem.expected.X.mat.Y3 <- matrix(rep(c(1, 2, 0), nrow(X.mat)), nrow = nrow(X.mat), byrow = TRUE) test.rem(list(x = X.mat, y = 0), rem.expected.X.mat.Y0) test.rem(list(x = X.mat, y = 1), rem.expected.X.mat.Y1) test.rem(list(x = X.mat, y = 2), rem.expected.X.mat.Y2) test.rem(list(x = X.mat, y = 3), rem.expected.X.mat) ## rem & mod give same results with X, Y having same sign test.rem(list(x = 5, y = 3), matlab::mod(5, 3)) test.rem(list(x = -5, y = -3), matlab::mod(-5, -3)) ## alternate formula used when X, Y having different signs test.rem(list(x = 5, y = -3), (matlab::mod(5, -3) - -3)) test.rem(list(x = -5, y = 3), (matlab::mod(-5, 3) - 3)) matlab/tests/fliplr.R0000644000176200001440000000106612274525624014303 0ustar liggesusers### ### $Id: fliplr.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.fliplr <- function(input, expected) { output <- do.call(getFromNamespace("fliplr", "matlab"), input) identical(output, expected) } X.mat <- matrix(1:6, 2, 3, byrow = TRUE) fliplr.expected.X.mat <- matrix(c(3:1, 6:4), 2, 3, byrow = TRUE) test.fliplr(list(X.mat), fliplr.expected.X.mat) X.vec <- seq(1, 9, by = 2) fliplr.expected.X.vec <- seq(9, 1, by = -2) test.fliplr(list(X.vec), fliplr.expected.X.vec) matlab/tests/ceil.R0000644000176200001440000000060212274525624013722 0ustar liggesusers### ### $Id: ceil.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.ceil <- function(input, expected) { output <- do.call(getFromNamespace("ceil", "matlab"), input) identical(output, expected) } X <- c(-1.9, -0.2, 3.4, 5.6, 7) ceil.expected <- c(-1, 0, 4, 6, 7) test.ceil(list(X), ceil.expected) matlab/tests/std.R0000644000176200001440000000116212274525624013602 0ustar liggesusers### ### $Id: std.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.std <- function(input, expected) { output <- do.call(getFromNamespace("std", "matlab"), input) identical(all.equal(output, expected, tolerance = 0.0001), TRUE) } X.mat <- matrix(c(1, 5, 9, 7, 15, 22), 2, 3, byrow = TRUE) std.expected.by.col <- c(4.2426, 7.0711, 9.1924) std.expected.by.row <- c(4.000, 7.5056) test.std(list(x = X.mat), std.expected.by.col) test.std(list(x = t(X.mat)), std.expected.by.row) matlab/tests/fix.R0000644000176200001440000000057612274525624013606 0ustar liggesusers### ### $Id: fix.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.fix <- function(input, expected) { output <- do.call(getFromNamespace("fix", "matlab"), input) identical(output, expected) } X <- c(-1.9, -0.2, 3.4, 5.6, 7.0) fix.expected <- c(-1, 0, 3, 5, 7) test.fix(list(X), fix.expected) matlab/tests/numel.R0000644000176200001440000000066412274525624014136 0ustar liggesusers### ### $Id: numel.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.numel <- function(input, expected) { output <- do.call(getFromNamespace("numel", "matlab"), input) identical(output, expected) } a <- array(NA, c(4, 4, 2)) a[,,1] <- matlab::magic(4) a[,,2] <- t(a[,,1]) numel.expected.4x4x2 <- 32 test.numel(list(A = a), numel.expected.4x4x2) matlab/tests/factors.R0000644000176200001440000000205512274525624014453 0ustar liggesusers### ### $Id: factors.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.factors <- function(input, expected) { output <- do.call(getFromNamespace("factors", "matlab"), input) identical(output, expected) } factors.expected.n2 <- 2 factors.expected.n3 <- 3 factors.expected.prm <- 999983 factors.expected.pr2 <- c(9999889, 9999901) factors.expected.prp <- c(65003, 65003) factors.expected.nn <- c(2, 2, 2, 2, 2, 3, 3, 3, 3, 5, 5, 5, 7, 7, 11) factors.expected.nm <- c(99989, 99991, 100003) factors.expected.n32 <- c(3, 5, 17, 257, 65537) test.factors(list(n=2), factors.expected.n2) test.factors(list(n=3), factors.expected.n3) test.factors(list(n=999983), factors.expected.prm) #test.factors(list(n=9999889*9999901), factors.expected.pr2) test.factors(list(n=4225390009), factors.expected.prp) test.factors(list(n=2^5 * 3^4 * 5^3 * 7^2 * 11), factors.expected.nn) test.factors(list(n=99989*99991*100003), factors.expected.nm) test.factors(list(n=2^32-1), factors.expected.n32) matlab/tests/flipud.R0000644000176200001440000000131112274525624014267 0ustar liggesusers### ### $Id: flipud.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.flipud <- function(input, expected) { output <- do.call(getFromNamespace("flipud", "matlab"), input) identical(output, expected) } X.mat <- matrix(1:6, 3, 2) flipud.expected.X.mat <- matrix(c(3:1, 6:4), 3, 2) test.flipud(list(X.mat), flipud.expected.X.mat) X.vec <- seq(1, 9, by = 2) flipud.expected.X.vec <- seq(9, 1, by = -2) test.flipud(list(X.vec), flipud.expected.X.vec) ## Since R does not really have concept of row/column vectors ## identical(test.fliplr(X.vec, flipud.expected.X.vec), ## test.flipud(X.vec, flipud.expected.X.vec)) matlab/tests/eye.R0000644000176200001440000000145012274525624013572 0ustar liggesusers### ### $Id: eye.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.eye <- function(input, expected) { output <- do.call(getFromNamespace("eye", "matlab"), input) identical(output, expected) } eye.expected.3x3 <- matrix(c(1, 0, 0, 0, 1, 0, 0, 0, 1), nrow = 3, ncol = 3, byrow = TRUE) eye.expected.4x2 <- matrix(c(1, 0, 0, 1, 0, 0, 0, 0), nrow = 4, ncol = 2, byrow = TRUE) test.eye(list(m = 3), eye.expected.3x3) test.eye(list(m = c(4, 2)), eye.expected.4x2) test.eye(list(m = 4, n = 2), eye.expected.4x2) test.eye(list(m = matlab::size(eye.expected.4x2)), eye.expected.4x2) matlab/tests/find.R0000644000176200001440000000111512274525624013726 0ustar liggesusers### ### $Id: find.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.find <- function(input, expected) { output <- do.call(getFromNamespace("find", "matlab"), input) identical(output, expected) } X <- c(3, 2, 1, 1, 2, 3) find.expected.eq.one <- c(3, 4) test.find(list(X == 1), find.expected.eq.one) X <- c(1, 0, 4, -3, 0, 0, 0, 8, 6) find.expected.nonzero <- c(1, 3, 4, 8, 9) find.expected.gt.two <- c(3, 8, 9) test.find(list(X), find.expected.nonzero) test.find(list(X > 2), find.expected.gt.two) matlab/tests/logspace.R0000644000176200001440000000140612274525624014606 0ustar liggesusers### ### $Id: logspace.R 51 2014-02-05 21:22:28Z plroebuck $ ### ##----------------------------------------------------------------------------- test.logspace <- function(input, expected) { output <- do.call(getFromNamespace("logspace", "matlab"), input) identical(all.equal(output, expected, tolerance = 0.0001), TRUE) } logspace.expected.1topi <- c(10.0000, 7.4866, 5.6050, 4.1963, 3.1416) test.logspace(list(a = 1, b = pi, n = 5), logspace.expected.1topi) ## more rigorously this time test.logspace(list(a = 0, b = 1, n = 0), 10) ## HWB 2011/02/03 test.logspace(list(a = 0, b = 10, n = 1), 10^10) ## HWB 2011/02/03 test.logspace(list(a = 0, b = 1, n = 1.5), 10) ## HWB 2011/02/03 matlab/NAMESPACE0000644000176200001440000000147512350635677012756 0ustar liggesusers### ### $Id: NAMESPACE 60 2014-06-19 19:36:31Z plroebuck $ ### ## Imports import(methods) ## Public routines export(ceil) export(cell) export(colorbar) export(eye) export(factors) export(fileparts) export(filesep) export(find) export(fix) export(fullfile) export(hilb) export(imagesc) export(isempty) export(isprime) export(jet.colors) export(linspace) export(logspace) export(magic) export(meshgrid) export(mod) export(multiline.plot.colors) export(ndims) export(nextpow2) export(numel) export(ones) export(pascal) export(pathsep) export(pow2) export(primes) export(rem) export(repmat) export(reshape) export(rosser) export(rot90) export(std) export(strcmp) export(tic,toc) export(vander) export(zeros) ## S4 Methods exportMethods(fliplr) exportMethods(flipud) exportMethods(padarray) exportMethods(size) exportMethods(sum) matlab/NEWS0000644000176200001440000001230412350636176012222 0ustar liggesusers ************************************************** * * * 1.0 SERIES NEWS * * * ************************************************** CHANGES IN R VERSION 1.0.2 NEW FEATURES o Converted COPYRIGHT file to Debian standard, machine-readable format. CHANGES IN R VERSION 1.0.1 NEW FEATURES o Removed triple colon operators referencing internal functions which caused YA NOTE in upcoming version of R. [UW-20140205] o Changed the methods package dependency to an import which caused YA NOTE in upcoming version of R. [UW-20140205] CHANGES IN R VERSION 1.0.0 SIGNIFICANT USER-VISIBLE CHANGES o Dropped compatibility for anything less than R-2.15 as no longer able to test against previous versions of R. NEW FEATURES o After almost a decade, now has a production release number. o Added SVN revision information to many of the package files. o Added COPYRIGHTS file, and removed LICENSE file. o Removed .onAttach() anachronism for ensuring its methods package dependency was available for S4 classes. o Removed redundant 'library(methods)' calls in S4-related files. o colorbar() example code now uses dev.new() rather than X11() by request of CRAN maintainer. [KH-20140120] ************************************************** * * * 0.8 SERIES NEWS * * * ************************************************** CHANGES IN R VERSION 0.8.9 NEW FEATURES o Converted .onAttach() output to use packageStartupMessage() method. CHANGES IN R VERSION 0.8.8 NEW FEATURES o Added 'vander' method. o Added 'pow2' method. o Added 'nextpow2' method. BUG FIXES o Additional argument checking for 'isprime' method. CHANGES IN R VERSION 0.8.7 NEW FEATURES o Added 'factors' method. o Added 'hilb' method. o Added 'isprime' method. o Added 'primes' method. o Added 'rosser' method. CHANGES IN R VERSION 0.8.6 BUG FIXES o Converted NEWS file into something R can recognize. CHANGES IN R VERSION 0.8.5 BUG FIXES o Fixed 'mod' to correct for 'mod(n,0) == n' [HWB-20110308] CHANGES IN R VERSION 0.8.4 BUG FIXES o Fixed 'linspace' to correct for undocumented 'floor(n)' [HWB-20110205] o Fixed 'logspace' to correct for 'n < 2' condition. [HWB-20110205] NEW FEATURES o Reimplemented 'logspace' as '10 ^ linspace(a,b,n)' to consolidate. CHANGES IN R VERSION 0.8.3 BUG FIXES o Respecify license by request of CRAN maintainer. CHANGES IN R VERSION 0.8.2 BUG FIXES o Removed 'grdev' method from 'colorbar' test codes for R-2.8 compatibility. CHANGES IN R VERSION 0.8.1 BUG FIXES o Modified 'sum' to handle logicals. CHANGES IN R VERSION 0.8.0 NEW FEATURES o Added 'cell' method. o Added 'isempty' method. o Added 'magic' method. o Added 'meshgrid' method. o Added 'ndims' method. o Added 'numel' method. o Added 'padarray' method. o Added 'reshape' method. o Added 'strcmp' method. o Modified 'repmat' to handle character vectors. o Updated package documentation. ************************************************** * * * 0.7 SERIES NEWS * * * ************************************************** CHANGES IN R VERSION 0.7.9 NEW FEATURES o Converted error messages to use sprintf method instead of paste. o Modified 'imagesc' method argument list to allow for x,y,col arguments. Also makes use of '{xy}axp' arguments for tickmark labels. o Updated package documentation. BUG FIXES o Fixed quoting in help message. o Corrected 'ones', 'zeros', 'eye' methods for certain 'size_t' arguments. o Modified 'repmat' method to not drop single dimension before replication. o Added argument checking to 'linspace' method. CHANGES IN R VERSION 0.7.8 NEW FEATURES o Added 'colorbar' method. o Added 'fileparts' method. o Added 'filesep' and 'pathsep' objects. o Added 'fullfile' method. o Added 'imagesc' method. o Added 'jet.colors' method. o Updated package documentation. CHANGES IN R VERSION 0.7.7 NEW FEATURES o Added 'pascal' method. o Added 'linspace' method. o Added 'logspace' method. o Converted 'size' method to S4. o Added 'dimen' parameter to 'size' method. o Added 'echo' parameter to 'toc' method. CHANGES IN R VERSION 0.7.6 SIGNIFICANT USER-VISIBLE CHANGES o Initial release to CRAN. matlab/R/0000755000176200001440000000000012352364133011715 5ustar liggesusersmatlab/R/zeros.R0000644000176200001440000000132712274735470013216 0ustar liggesusers### ### $Id: zeros.R 55 2014-02-06 16:41:28Z plroebuck $ ### ### Create a matrix of all zeros. ### ##----------------------------------------------------------------------------- zeros <- function(...) { nargs <- length(dots <- list(...)) dims <- as.integer(if (nargs == 1 && is.size_t(dots[[1]])) { dots[[1]] } else { unlist(dots) }) if (length(dims) == 1) { dims[2] <- dims[1] } if (!(length(dims) > 1)) { stop("dimensions must be of length greater than 1") } else if (!(all(dims > 0))) { stop("dimensions must be a positive quantity") } return(array(0, dims)) } matlab/R/size_t-class.R0000644000176200001440000000127412274522056014447 0ustar liggesusers### ### $Id: size_t-class.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Size class. ### ##----------------------------------------------------------------------------- setClass("size_t", contains = "integer", prototype = as.integer(0)) ##----------------------------------------------------------------------------- size_t <- function(x) { new("size_t", as.integer(x)) } ##----------------------------------------------------------------------------- is.size_t <- function(object) { return(data.class(object) == "size_t") } ##----------------------------------------------------------------------------- as.size_t <- function(object) { return(size_t(object)) } matlab/R/hilb.R0000644000176200001440000000104412274522056012760 0ustar liggesusers### ### $Id: hilb.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Hilbert matrix. ### ##----------------------------------------------------------------------------- hilb <- function(n) { if (!is.numeric(n)) { stop(sprintf("argument %s must be numeric", sQuote("n"))) } else if (!(length(n) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("n"))) } n <- floor(n) if (n < 0) { return(matrix(NA, nrow=0, ncol=0)) } i <- seq_len(n) H <- 1 / outer(i-1, i, "+") return(H) } matlab/R/padarray.R0000644000176200001440000002047012274735470013657 0ustar liggesusers### ### $Id: padarray.R 55 2014-02-06 16:41:28Z plroebuck $ ### ### Pad a vector. ### ##----------------------------------------------------------------------------- setGeneric("padarray", function(A, padsize, padval = 0, direction = c("both", "pre", "post")) { #cat("generic", match.call()[[1]], "\n") standardGeneric("padarray") }) setMethod("padarray", signature(A = "array", padsize = "numeric", padval = "missing", direction = "missing"), function(A, padsize, padval, direction) { #cat(match.call()[[1]], "(array, numeric, missing, missing)", "\n") callGeneric(A, padsize, padval, direction) }) setMethod("padarray", signature(A = "array", padsize = "numeric", padval = "ANY", direction = "character"), function(A, padsize, padval, direction) { #cat(match.call()[[1]], "(array, numeric, ANY, character)", "\n") method <- "constant" padarray0(A, method, padsize, padval, match.arg(direction)) }) setMethod("padarray", signature(A = "array", padsize = "numeric", padval = "character", direction = "character"), function(A, padsize, padval, direction) { #cat(match.call()[[1]], "(array, numeric, character, character)", "\n") ## third parameter is overloaded if (padval %in% c("circular", "replicate", "symmetric")) { method <- padval padval <- NA } else { method <- "constant" } padarray0(A, method, padsize, padval, match.arg(direction)) }) setMethod("padarray", signature(A = "vector", padsize = "numeric", padval = "ANY", direction = "ANY"), function(A, padsize, padval, direction) { #cat(match.call()[[1]], "(vector, numeric, ANY, ANY)", "\n") callGeneric(matrix(A, nrow = 1), padsize, padval, direction) }) ##----------------------------------------------------------------------------- padarray0 <- function(a, method = c("constant", "circular", "replicate", "symmetric"), padsize, padval, direction = c("both", "pre", "post")) { #cat(match.call()[[1]], "(array, character, numeric, ANY, character)", "\n") #cat("a =", a, "\n") #cat("method =", method, "\n") #cat("padsize =", padsize, "\n") #cat("padval =", padval, "\t", "(", data.class(padval), ")", "\n") #cat("direction =", direction, "\n") method <- match.arg(method) direction <- match.arg(direction) if (length(padsize) < matlab::ndims(a)) { padsize[matlab::ndims(a)] <- 0 } if (!(length(padval) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("padval"))) } if (method == "constant" && !(is.numeric(a) || is.logical(a))) { stop(sprintf("argument %s must be numeric or logical for constant padding", sQuote("a"))) } b <- if (matlab::isempty(a)) { sizeB <- if (direction == "both") { matlab::size(a) + 2*padsize } else { matlab::size(a) + padsize } mkconstarray(data.class(a), padval, sizeB) } else { switch(EXPR = method, constant = constantPad(a, padsize, padval, direction), circular = circularPad(a, padsize, direction), symmetric = symmetricPad(a, padsize, direction), replicate = replicatePad(a, padsize, direction)) } if (is.logical(a)) { mode(b) <- "logical" } return(b) } ##----------------------------------------------------------------------------- constantPad <- function(a, padsize, padval, direction) { numDims <- matlab::numel(padsize) ## Form index vectors to subassign input array into output array. ## Also compute the size of the output array. idx <- matlab::cell(1, numDims) sizeB <- matlab::zeros(1, numDims) for (k in seq(1, numDims)) { M <- matlab::size(a, k) switch(EXPR = direction, pre = { idx[[k]] <- (1:M) + padsize[k] sizeB[k] <- M + padsize[k] }, post = { idx[[k]] <- 1:M sizeB[k] <- M + padsize[k] }, both = { idx[[k]] <- (1:M) + padsize[k] sizeB[k] <- M + 2*padsize[k] }) } ## Initialize output array with padding value. ## Make sure output array is same type as the input. b <- mkconstarray(mode(a), padval, sizeB) return(do.call("[<-", c(list(b), idx, list(a)))) } ##----------------------------------------------------------------------------- circularPad <- function(a, padsize, direction) { numDims <- matlab::numel(padsize) ## Form index vectors to subassign input array into output array. ## Also compute the size of the output array. idx <- matlab::cell(1, numDims) for (k in seq(1, numDims)) { M <- matlab::size(a, k) dimNums <- 1:M p <- padsize[k] switch(EXPR = direction, pre = { idx[[k]] <- dimNums[matlab::mod(-p:(M-1), M) + 1] }, post = { idx[[k]] <- dimNums[matlab::mod(0:(M+p-1), M) + 1] }, both = { idx[[k]] <- dimNums[matlab::mod(-p:(M+p-1), M) + 1] }) } return(do.call("[", c(list(a), idx))) } ##----------------------------------------------------------------------------- symmetricPad <- function(a, padsize, direction) { numDims <- matlab::numel(padsize) ## Form index vectors to subassign input array into output array. ## Also compute the size of the output array. idx <- matlab::cell(1, numDims) for (k in seq(1, numDims)) { M <- matlab::size(a, k) dimNums <- c(1:M, seq(from = M, to = 1, by = -1)) p <- padsize[k] switch(EXPR = direction, pre = { idx[[k]] <- dimNums[matlab::mod(-p:(M-1), 2*M) + 1] }, post = { idx[[k]] <- dimNums[matlab::mod(0:(M+p-1), 2*M) + 1] }, both = { idx[[k]] <- dimNums[matlab::mod(-p:(M+p-1), 2*M) + 1] }) } return(do.call("[", c(list(a), idx))) } ##----------------------------------------------------------------------------- replicatePad <- function(a, padsize, direction) { numDims <- matlab::numel(padsize) ## Form index vectors to subassign input array into output array. ## Also compute the size of the output array. idx <- matlab::cell(1, numDims) for (k in seq(1, numDims)) { M <- matlab::size(a, k) p <- padsize[k] onesVector <- if (p > 0) { matlab::ones(1, p) } else { NULL } switch(EXPR = direction, pre = { idx[[k]] <- c(onesVector, 1:M) }, post = { idx[[k]] <- c(1:M, M*onesVector) }, both = { idx[[k]] <- c(onesVector, 1:M, M*onesVector) }) } return(do.call("[", c(list(a), idx))) } matlab/R/pascal.R0000644000176200001440000000213512274522056013307 0ustar liggesusers### ### $Id: pascal.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Create Pascal matrix. ### ##----------------------------------------------------------------------------- pascal <- function(n, k = 0) { if (!is.numeric(n)) { stop(sprintf("argument %s must be numeric", sQuote("n"))) } else if (!(length(n) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("n"))) } if (!is.numeric(k)) { stop(sprintf("argument %s must be numeric", sQuote("k"))) } else if (!(length(k) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("k"))) } stopifnot(k >= 0, k <= 2) P <- diag((-1) ^ seq(0, as.double(n)-1)) P[,1] <- matlab::ones(n, 1) ## Generate Pascal Cholesky factor for (j in seq(2, n-1)) { for (i in seq(j+1, n)) { P[i, j] <- P[i-1, j] - P[i-1, j-1] } } if (k == 0) { P <- P %*% t(P) } else if (k == 1) { ; } else if (k == 2) { P <- matlab::rot90(P, 3) if ((n / 2) == round(n / 2)) { P <- -P } } return(P) } matlab/R/filesep.R0000644000176200001440000000033712274522056013475 0ustar liggesusers### ### $Id: filesep.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Directory separator for this platform. ### ##----------------------------------------------------------------------------- filesep <- .Platform$file.sep matlab/R/nextpow2.R0000644000176200001440000000072612274522056013636 0ustar liggesusers### ### $Id: nextpow2.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Next higher power of 2. ### ##----------------------------------------------------------------------------- nextpow2 <- function(x) { if (!(is.numeric(x) || is.complex(x))) { stop(sprintf("argument %s must be numeric or complex", sQuote('x'))) } if (length(x) == 0) { return(numeric(0)) } x[x == 0] <- 1 return(ceiling(log2(abs(x)))) } matlab/R/repmat.R0000644000176200001440000000445712274735470013353 0ustar liggesusers### ### $Id: repmat.R 55 2014-02-06 16:41:28Z plroebuck $ ### ### Replicate and tile an array. ### ##----------------------------------------------------------------------------- repmat <- function(A, ...) { nargs <- length(dots <- list(...)) dims <- as.integer(if (nargs == 1 && is.size_t(dots[[1]])) { dots[[1]] } else { unlist(dots) }) if (length(dims) == 1) { dims[2] <- dims[1] } if (!(length(dims) > 1)) { stop("dimensions must be of length greater than 1") } else if (!(all(dims > 0))) { stop("dimensions must be a positive quantity") } B <- switch(EXPR = mode(A), logical =, complex =, numeric = { if (all(dims == 1)) { ## nothing to do in this case A } else if (dims[length(dims)] == 1) { ## avoid dropping single dimension before replication t(kronecker(array(1, rev(dims)), A)) } else { kronecker(array(1, dims), A) } }, character = { ## convert unique strings to factors fA <- factor(A, levels = unique(A)) ## recursive call using integer version of A iA.mat <- Recall(unclass(fA), dims) ## replace integers with strings according to factor values saved.dim <- dim(iA.mat) cA.mat <- sapply(seq(along = iA.mat), function(i, A, fac) { A[i] <- levels(fac)[A[i]] }, iA.mat, fA) dim(cA.mat) <- saved.dim cA.mat }, NULL) if (is.null(B)) { stop(sprintf("argument %s must be one of [%s]", sQuote("A"), paste(c("numeric", "logical", "complex", "character"), collapse = "|"))) } return(B) } matlab/R/ones.R0000644000176200001440000000132412274735470013015 0ustar liggesusers### ### $Id: ones.R 55 2014-02-06 16:41:28Z plroebuck $ ### ### Create a matrix of all ones. ### ##----------------------------------------------------------------------------- ones <- function(...) { nargs <- length(dots <- list(...)) dims <- as.integer(if (nargs == 1 && is.size_t(dots[[1]])) { dots[[1]] } else { unlist(dots) }) if (length(dims) == 1) { dims[2] <- dims[1] } if (!(length(dims) > 1)) { stop("dimensions must be of length greater than 1") } else if (!(all(dims > 0))) { stop("dimensions must be a positive quantity") } return(array(1, dims)) } matlab/R/fileparts.R0000644000176200001440000000565712274522056014051 0ustar liggesusers### ### $Id: fileparts.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Return filename parts. ### ##----------------------------------------------------------------------------- fileparts <- function(pathname) { if (!is.character(pathname)) { stop(sprintf("argument %s must be character", sQuote("pathname"))) } else if (!(length(pathname) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("pathname"))) } ## R only expands a single tilde, optionally followed by sep wouldExpandTilde <- function(pathname) { possible <- substr(pathname, 1, 2) ((nchar(possible) == 1 && possible == "~") || (nchar(possible) == 2 && substr(possible, 2, 2) == "/")) } tildeUser <- character(0) hasTilde <- substr(pathname, 1, 1) == "~" if (hasTilde && wouldExpandTilde(pathname)) { ## Augment tilde with bogus value prevent expansion by path.expand luser <- "xxxxxx" # :HACK: assumed not to exist tildeUser <- paste("~", luser, sep = "") pathname <- sub("~", tildeUser, pathname) } fname <- basename(pathname) if (fname == pathname) { pathstr <- "" } else { hasTrailingSep <- function(pathname) { nchars <- nchar(pathname) lastChar <- substr(pathname, nchars, nchars) ## :TODO: There must be a standard function for the following... if (.Platform$OS.type == "windows") { lastChar == "/" || lastChar == "\\" } else { lastChar == "/" } } pathstr <- if (hasTrailingSep(pathname)) { fname <- "" ## dirname normalizes path ending with fsep so ## append a character so trailing sep is kept dirname(paste(pathname, "x", sep = "")) } else { dirname(pathname) } } if (fname == ".") { ## Handle relative current directory name <- character(0) ext <- "." } else if (fname == "..") { ## Handle relative parent directory name <- "." ext <- "." } else { name <- { ext.re <- "\\.[^\\.]*$" # match from last period to end sub(ext.re, "", fname) } if (name == "") { ## Handle UNIX hidden files name <- character(0) ext <- fname } else { split.re <- name ext <- unlist(strsplit(fname, split.re, fixed = TRUE))[2] } } if (length(tildeUser) > 0) { switch(EXPR = charmatch("~", c(pathstr, name)), pathstr <- sub(tildeUser, "~", pathstr), name <- sub(tildeUser, "~", name)) } return(list(pathstr = pathstr, name = name, ext = ifelse(!is.na(ext), ext, ""), versn = "")) } matlab/R/size.R0000644000176200001440000000655712274522056013032 0ustar liggesusers### ### $Id: size.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Array dimensions. ### ##----------------------------------------------------------------------------- setGeneric("size", function(X, dimen) { #cat("generic", match.call()[[1]], "\n") standardGeneric("size") }) setMethod("size", signature(X = "vector", dimen = "missing"), function(X, dimen) { #cat(match.call()[[1]], "(vector, missing)", "\n") # return(as.size_t(length(X))) # :NOTE: Incompatible with previous implementation but consistent with MATLAB callGeneric(matrix(X, nrow = 1)) }) setMethod("size", signature(X = "matrix", dimen = "missing"), function(X, dimen) { #cat(match.call()[[1]], "(matrix, missing)", "\n") return(as.size_t(dim(X))) }) setMethod("size", signature(X = "array", dimen = "missing"), function(X, dimen) { #cat(match.call()[[1]], "(array, missing)", "\n") return(as.size_t(dim(X))) }) setMethod("size", signature(X = "vector", dimen = "numeric"), function(X, dimen) { #cat(match.call()[[1]], "(vector, numeric)", "\n") callGeneric(matrix(X, nrow = 1), dimen) }) setMethod("size", signature(X = "matrix", dimen = "numeric"), function(X, dimen) { #cat(match.call()[[1]], "(matrix, numeric)", "\n") callGeneric(X, as.integer(dimen)) }) setMethod("size", signature(X = "matrix", dimen = "integer"), function(X, dimen) { #cat(match.call()[[1]], "(matrix, integer)", "\n") return(getLengthOfDimension(X, dimen)) }) setMethod("size", signature(X = "array", dimen = "numeric"), function(X, dimen) { #cat(match.call()[[1]], "(array, numeric)", "\n") callGeneric(X, as.integer(dimen)) }) setMethod("size", signature(X = "array", dimen = "integer"), function(X, dimen) { #cat(match.call()[[1]], # "(", data.class(X), ", ", data.class(dimen), ")", "\n") return(getLengthOfDimension(X, dimen)) }) setMethod("size", signature(X = "missing", dimen = "ANY"), function(X, dimen) { #cat(match.call()[[1]], "(missing, ANY)", "\n") stop(sprintf("argument %s missing", sQuote("X"))) }) ##----------------------------------------------------------------------------- getLengthOfDimension <- function(X, dimen) { if (!is.array(X)) { stop(sprintf("argument %s must be matrix or array", sQuote("X"))) } if (!(length(dimen) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("dimen"))) } else if (dimen < 1) { stop(sprintf("argument %s must be a positive quantity", sQuote("dimen"))) } len <- if (dimen <= length(dim(X))) { dim(X)[dimen] } else { 1 # singleton dimension } return(as.integer(len)) } matlab/R/pow2.R0000644000176200001440000000171312274522056012734 0ustar liggesusers### ### $Id: pow2.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Raise 2 to some power. ### ##----------------------------------------------------------------------------- pow2 <- function(f, e) { if (!(is.numeric(f) || is.complex(f))) { stop(sprintf("argument %s must be numeric or complex", sQuote("f"))) } if (missing(e)) { e <- f f <- rep(1, length(e)) } else { if (!(is.numeric(e) || is.complex(e))) { stop(sprintf("Argument %s must be numeric or complex", sQuote("e"))) } if (is.complex(f) || is.complex(e)) { f <- Re(f) e <- Re(e) warning("imaginary part of complex arguments ignored") } } if (length(f) != length(e)) { stop(sprintf("Arguments %s and %s must be of same length", sQuote("f"), sQuote("e"))) } return(f * 2^e) } matlab/R/mkconstarray.R0000644000176200001440000000120612274522056014557 0ustar liggesusers### ### $Id: mkconstarray.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Create a constant array of specified class. ### ##----------------------------------------------------------------------------- mkconstarray <- function(class.type = c("character", "complex", "double", "integer", "logical", "numeric"), value, size) { return(matlab::repmat(as(value, match.arg(class.type)), size)) } matlab/R/ndims.R0000644000176200001440000000037012274522056013155 0ustar liggesusers### ### $Id: ndims.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Provides the number of dimensions. ### ##----------------------------------------------------------------------------- ndims <- function(A) { return(length(matlab::size(A))) } matlab/R/fullfile.R0000644000176200001440000000036412274522056013650 0ustar liggesusers### ### $Id: fullfile.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Build full filename from parts. ### ##----------------------------------------------------------------------------- fullfile <- function(...) { return(file.path(...)) } matlab/R/primes.R0000644000176200001440000000366012274522056013347 0ustar liggesusers### ### $Id: primes.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Generate list of prime numbers. ### ##----------------------------------------------------------------------------- primes <- function(n) { if (!is.numeric(n)) { stop(sprintf("argument %s must be numeric", sQuote("n"))) } else if (!(length(n) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("n"))) } n <- floor(n) if (n < 2) { return(c()) } p <- seq(1, n, by=2) p[1] <- 2 q <- length(p) if (n >= 9) { for (k in seq(3, sqrt(n), by=2)) { if (p[(k+1)/2] != 0) { p[seq((k*k+1)/2, q, by=k)] <- 0 } } } p[p > 0] } ##----------------------------------------------------------------------------- ## Alternative version... eratosthenes_sieve <- function(n) { if (!is.numeric(n)) { stop(sprintf("argument %s must be numeric", sQuote("n"))) } else if (!(length(n) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("n"))) } n <- floor(n) if (n < 2) { return(c()) ## :TBD: integer(0) instead? } ## :HACK: have issues with seq(by=) output for [2 <= n <= 5] switch(EXPR=as.character(n), "2"=return(as.integer(2)), "3"=, "4"=return(as.integer(c(2, 3))), "5"=return(as.integer(c(2, 3, 5)))) ## Create a candidate list within which non-primes will be ## marked as 0; only candidates below sqrt(n) need be checked. candidates <- seq(from=1, to=n) fin <- floor(sqrt(n)) ## Loop over the candidates, marking out each multiple for (i in seq(from=2, to=fin+1)) { if (candidates[i]) { candidates[seq(from=2*i, to=n, by=i)] <- 0 } } ## Filter out non-primes candidates[candidates > 1] } matlab/R/rosser.R0000644000176200001440000000137512274522056013366 0ustar liggesusers### ### $Id: rosser.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Returns the Rosser matrix. ### ##----------------------------------------------------------------------------- rosser <- function() { rosser.dat <- c( 611, 196, -192, 407, -8, -52, -49, 29, 196, 899, 113, -192, -71, -43, -8, -44, -192, 113, 899, 196, 61, 49, 8, 52, 407, -192, 196, 611, 8, 44, 59, -23, -8, -71, 61, 8, 411, -599, 208, 208, -52, -43, 49, 44, -599, 411, 208, 208, -49, -8, 8, 59, 208, 208, 99, -911, 29, -44, 52, -23, 208, 208, -911, 99 ) storage.mode(rosser.dat) <- "integer" matrix(rosser.dat, nrow=8, ncol=8, byrow=TRUE) } matlab/R/strcmp.R0000644000176200001440000000101712274522056013352 0ustar liggesusers### ### $Id: strcmp.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Compare strings. ### ##----------------------------------------------------------------------------- strcmp <- function(S, T) { if (!is.character(S)) { stop(sprintf("argument %s must be character", sQuote("S"))) } if (!is.character(T)) { stop(sprintf("argument %s must be character", sQuote("T"))) } return(if (length(S) == length(T)) { all(S == T) } else { FALSE }) } matlab/R/multiline.plot.colors.R0000644000176200001440000000157112274522056016326 0ustar liggesusers### ### $Id: multiline.plot.colors.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Create a vector of colors equivalent to MATLAB's default colors to use ### for multiline plots. ### ##----------------------------------------------------------------------------- multiline.plot.colors <- function() { get.gca.colororder <- function() { colors <- c(rgb(0.00, 0.00, 1.00), # blue rgb(0.00, 0.50, 0.00), rgb(1.00, 0.00, 0.00), # red rgb(0.00, 0.75, 0.75), rgb(0.75, 0.00, 0.75), rgb(0.75, 0.75, 0.00), rgb(0.25, 0.25, 0.25)) # grey25 i.named.colors <- c(1, 3, 7) names(colors)[i.named.colors] <- c("blue", "red", "grey25") names(colors)[-i.named.colors] <- "" return(colors) } return(get.gca.colororder()) } matlab/R/isempty.R0000644000176200001440000000037212274522056013537 0ustar liggesusers### ### $Id: isempty.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Determine if object is empty. ### ##----------------------------------------------------------------------------- isempty <- function(A) { return(any(matlab::size(A) == 0)) } matlab/R/jet.colors.R0000644000176200001440000000227012274522056014126 0ustar liggesusers### ### $Id: jet.colors.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Create a vector of colors beginning with dark blue, ranging through ### shades of blue, cyan, green, yellow and red, and ending with dark red. ### DEFAULT.COLORMAP.SIZE <- 64 ##----------------------------------------------------------------------------- jet <- function(m = DEFAULT.COLORMAP.SIZE) { n <- matlab::ceil(m / 4) u <- c(seq(1, n) / n, if (n > 1) { matlab::ones(1, n-1) } else { NULL }, seq(n, 1, by = -1) / n) g <- matlab::ceil(n / 2) - (matlab::mod(m, 4) == 1) + (1:length(u)) r <- g + n b <- g - n g <- g[!(g > m)] r <- r[!(r > m)] b <- b[!(b < 1)] J <- matlab::zeros(m, 3) J[r, 1] <- u[seq(along = r)] J[g, 2] <- u[seq(along = g)] J[b, 3] <- u[seq(length(u)-length(b)+1, length(u))] return(J) } ##----------------------------------------------------------------------------- jet.colors <- function(n) { if ((n <- as.integer(n[1])) > 0) { ans <- jet(n) return(rgb(red = ans[,1], green = ans[,2], blue = ans[,3])) } else { return(character(0)) } } matlab/R/magic.R0000644000176200001440000000376712274522056013140 0ustar liggesusers### ### $Id: magic.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Create a magic square. ### ##----------------------------------------------------------------------------- magic <- function(n) { if (!is.numeric(n)) { stop(sprintf("argument %s must be numeric", sQuote("n"))) } else if (!(length(n) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("n"))) } oddOrder <- function(n) { ans <- matlab::meshgrid(1:n) J <- ans$x I <- ans$y A <- matlab::mod(I + J - (n + 3) / 2, n) B <- matlab::mod(I + 2 * J - 2, n) M <- n * A + B + 1; return(M) } doublyEvenOrder <- function(n) { ans <- matlab::meshgrid(1:n) J <- ans$x I <- ans$y K <- matlab::fix(matlab::mod(I, 4) / 2) == matlab::fix(matlab::mod(J, 4) / 2) M <- t(matlab::reshape(as.matrix(1:(n * n)), n, n)) M[K] = n * n + 1 - M[K] return(M) } singlyEvenOrder <- function(n) { p <- n / 2 fun <- sys.function(sys.parent()) M <- fun(p) # same as matlab::magic(p) M <- rbind(cbind(M, M + 2 * p ^ 2), cbind(M + 3 * p ^ 2, M + p ^ 2)) if (!(n == 2)) { i <- t(1:p) k <- (n - 2) / 4 j <- c(1:k, if ((n - k + 2) <= n) (n - k + 2):n) M[cbind(i, i + p), j] <- M[cbind(i + p, i), j] i <- k + 1 j <- c(1, i) M[cbind(i, i + p), j] <- M[cbind(i + p, i), j] } return(M) } n <- floor(n) M <- if (n <= 0) { matrix(numeric(0), 0, 0) # degenerate } else if (n == 1) { matrix(as.numeric(1), 1, 1) # degenerate } else { if (matlab::mod(n, 2) == 1) { oddOrder(n) } else if (matlab::mod(n, 4) == 0) { doublyEvenOrder(n) } else { singlyEvenOrder(n) } } return(M) } matlab/R/meshgrid.R0000644000176200001440000000436212274522056013652 0ustar liggesusers### ### $Id: meshgrid.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Generate X and Y matrices for three-dimensional plots. ### ##----------------------------------------------------------------------------- meshgrid <- function(x, y, z, nargout = 2) { meshgrid.2d <- function(x, y) { if (missing(y)) { y <- x } if (matlab::isempty(x) || matlab::isempty(y)) { xx <- matlab::zeros(0, 0) yy <- matlab::zeros(0, 0) } else { xx <- matrix(x, ncol = length(x), byrow = TRUE) yy <- matrix(y, nrow = length(y)) nx <- ncol(xx) ny <- nrow(yy) xx <- xx[matlab::ones(ny, 1), ] yy <- yy[, matlab::ones(1, nx)] } return(list(x = xx, y = yy)) } meshgrid.3d <- function(x, y, z) { if (missing(y) && missing(z)) { y <- x z <- x } else if (missing(z)) { stop("not enough input arguments") } if (matlab::isempty(x) || matlab::isempty(y)) { xx <- matlab::zeros(0, 0) yy <- matlab::zeros(0, 0) zz <- matlab::zeros(0, 0) } else { nx <- matlab::numel(x) ny <- matlab::numel(y) nz <- matlab::numel(z) xx <- matlab::reshape(as.matrix(x), c(1, nx, 1)) yy <- matlab::reshape(as.matrix(y), c(ny, 1, 1)) zz <- matlab::reshape(as.matrix(z), c(1, 1, nz)) xx <- xx[matlab::ones(ny, 1), , matlab::ones(nz, 1)] yy <- yy[, matlab::ones(1, nx), matlab::ones(nz, 1)] zz <- zz[matlab::ones(ny, 1), matlab::ones(nx, 1), ] } return(list(x = xx, y = yy, z = zz)) } if (!is.numeric(nargout)) { stop(sprintf("argument %s must be numeric", sQuote("nargout"))) } else if (!(length(nargout) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("nargout"))) } return(switch(EXPR = as.character(nargout), "2" = meshgrid.2d(x, y), "3" = meshgrid.3d(x, y, z), stop(sprintf("argument %s must be either 2 or 3", sQuote("nargout"))))) } matlab/R/sum.R0000644000176200001440000000567212274522056012661 0ustar liggesusers### ### $Id: sum.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Sum of elements. ### ##----------------------------------------------------------------------------- setGeneric("sum", function(x, na.rm = FALSE) { #cat("generic", match.call()[[1]], "\n") if (!is.logical(na.rm)) { stop(sprintf("argument %s must be logical", sQuote("na.rm"))) } else if (!(length(na.rm) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("na.rm"))) } standardGeneric("sum") }, useAsDefault = FALSE) setMethod("sum", signature(x = "vector", na.rm = "logical"), function(x, na.rm) { #cat(match.call()[[1]], "(vector, logical)", "\n") #cat("\tx = ", x, "\n") #cat("\tna.rm = ", na.rm, "\n") if (is.logical(x)) { mode(x) <- "integer" } return(base::sum(x, na.rm = na.rm)) }) setMethod("sum", signature(x = "vector", na.rm = "missing"), function(x, na.rm) { #cat(match.call()[[1]], "(vector, missing)", "\n") callGeneric(x, na.rm) }) setMethod("sum", signature(x = "matrix", na.rm = "logical"), function(x, na.rm) { #cat(match.call()[[1]], "(matrix, logical)", "\n") #cat("\tx =\n"); print(x); cat("\n") #cat("\tna.rm = ", na.rm, "\n") if (is.logical(x)) { mode(x) <- "integer" } return(apply(x, 2, base::sum, na.rm = na.rm)) }) setMethod("sum", signature(x = "matrix", na.rm = "missing"), function(x, na.rm) { #cat(match.call()[[1]], "(matrix, missing)", "\n") callGeneric(x, na.rm) }) setMethod("sum", signature(x = "array", na.rm = "logical"), function(x, na.rm) { stop(sprintf("method not implemented for %s argument", data.class(x))) }) setMethod("sum", signature(x = "array", na.rm = "missing"), function(x, na.rm) { #cat(match.call()[[1]], "(array, missing)", "\n") callGeneric(x, na.rm) }) setMethod("sum", signature(x = "ANY", na.rm = "ANY"), function(x, na.rm) { #cat(match.call()[[1]], "(ANY, ANY)", "\n") stop(sprintf("method not defined for %s argument", data.class(x))) }) setMethod("sum", signature(x = "missing", na.rm = "ANY"), function(x, na.rm) { stop(sprintf("argument %s missing", sQuote("x"))) }) matlab/R/isprime.R0000644000176200001440000000132012274522056013507 0ustar liggesusers### ### $Id: isprime.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Array elements that are prime numbers. ### ##----------------------------------------------------------------------------- isprime <- function(x) { if (!is.numeric(x)) { stop(sprintf("argument %s must be numeric", sQuote("x"))) } if (length(x) == 0) { return(integer(0)) } if (any(x < 0)) { stop(sprintf("each element of %s must be a nonnegative quantity", sQuote("x"))) } else if (any(x != round(x))) { stop(sprintf("each element of %s must be a non-fractional quantity", sQuote("x"))) } return(as.integer(x %in% matlab::primes(max(x)))) } matlab/R/vander.R0000644000176200001440000000114612274522056013324 0ustar liggesusers### ### $Id: vander.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Returns the Vandermonde matrix. ### ##----------------------------------------------------------------------------- vander <- function(v) { if (!is.vector(v)) { stop(sprintf("argument %s must be vector", sQuote("v"))) } else if (!(is.numeric(v) || is.complex(v))) { stop(sprintf("argument %s must be numeric or complex", sQuote("v"))) } n <- length(v) A <- if (n == 0) { matrix(as.numeric(NA), nrow=0, ncol=0) } else { outer(v, seq(n-1, 0), "^") } return(A) } matlab/R/mod.R0000644000176200001440000000062412274522056012624 0ustar liggesusers### ### $Id: mod.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Modulus after division. ### ##----------------------------------------------------------------------------- mod <- function(x, y) { ans <- x %% y ## Substitute x[off] in answer anywhere y[off] equals zero if (length(zero.off <- which(y == 0))) { ans[zero.off] <- if (length(x) == 1) x else x[zero.off] } ans } matlab/R/imagesc.R0000644000176200001440000000354612274522056013463 0ustar liggesusers### ### $Id: imagesc.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Displays matrix C as an image with its data scaled to use the full ### color palette. ### ##----------------------------------------------------------------------------- imagesc <- function(x = seq(ncol(C)), y = seq(nrow(C)), C, col = jet.colors(12), ...) { if (missing(C)) { if (!missing(x)) { if (is.null(dim(x))) { stop(sprintf("argument %s must be matrix-like", sQuote("x"))) } C <- x x <- seq(ncol(C)) } else { stop(sprintf("argument %s not specified", sQuote("C"))) } } if (any(diff(x) <= 0) || any(diff(y) <= 0)) { stop(sprintf("increasing %s and %s values expected", sQuote("x"), sQuote("y"))) } if (!(is.numeric(C) && is.matrix(C))) { stop(sprintf("argument %s must be matrix", sQuote("C"))) } range.C <- range(C) min.lim.C <- round(range.C[1]) max.lim.C <- round(range.C[2]) graphics::image(x = x, y = y, z = t(C)[,nrow(C):1], zlim = c(min.lim.C, max.lim.C), axes = FALSE, col = col, ...) pretty.axp <- function(axp.name = c("xaxp", "yaxp"), ...) { axp.name <- match.arg(axp.name) dots <- list(...) axp <- if (axp.name %in% names(dots)) { dots[[axp.name]] } else { par(axp.name) } pretty(axp[1]:axp[2], axp[3]) } at.x <- pretty.axp("xaxp", ...) axis(SIDE.BELOW, at.x) at.y <- pretty.axp("yaxp", ...) axis(SIDE.LEFT, at.y, labels = rev(at.y), las = LAS.HORIZONTAL) box() invisible(NULL) } matlab/R/cell.R0000644000176200001440000000164212274735470012773 0ustar liggesusers### ### $Id: cell.R 55 2014-02-06 16:41:28Z plroebuck $ ### ### Create cell array. ### ##----------------------------------------------------------------------------- cell <- function(...) { nargs <- length(dots <- list(...)) dims <- as.integer(if (nargs == 1 && is.size_t(dots[[1]])) { dots[[1]] } else { unlist(dots) }) if (length(dims) == 1) { dims[2] <- dims[1] } if (!(length(dims) > 1)) { stop("dimensions must be of length greater than 1") } else if (!(all(dims > 0))) { stop("dimensions must be a positive quantity") } createCellArray <- function(dims) { L <- vector("list", prod(dims)) dim(L) <- dims for (i in seq(along = L)) { L[[i]] <- numeric(0) } return(L) } return(createCellArray(dims)) } matlab/R/rot90.R0000644000176200001440000000206312274522056013021 0ustar liggesusers### ### $Id: rot90.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Rotates matrix counterclockwise k*90 degrees. ### ##----------------------------------------------------------------------------- rot90 <- function(A, k = 1) { if (!is.matrix(A)) { stop(sprintf("argument %s must be matrix", sQuote("A"))) } if (!is.numeric(k)) { stop(sprintf("argument %s must be numeric", sQuote("k"))) } else if (!(length(k) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("k"))) } rot90 <- function(A) { n <- matlab::size(A)[2] A <- t(A) return(A[n:1,]) } rot180 <- function(A) { sz <- matlab::size(A) m <- sz[1] n <- sz[2] return(A[m:1, n:1]) } rot270 <- function(A) { m <- matlab::size(A)[1] return(t(A[m:1,])) } k <- matlab::rem(k, 4) if (k <= 0) { k <- k + 4 } return(switch(EXPR = k, rot90(A), rot180(A), rot270(A), A)) } matlab/R/linspace.R0000644000176200001440000000171612274522056013646 0ustar liggesusers### ### $Id: linspace.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Generate linearly spaced vectors. ### ##----------------------------------------------------------------------------- linspace <- function(a, b, n = 100) { if (!is.numeric(a)) { stop(sprintf("argument %s must be numeric", sQuote("a"))) } else if (!(length(a) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("a"))) } if (!is.numeric(b)) { stop(sprintf("argument %s must be numeric", sQuote("b"))) } else if (!(length(b) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("b"))) } if (!is.numeric(n)) { stop(sprintf("argument %s must be numeric", sQuote("n"))) } else if (!(length(n) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("n"))) } n <- floor(n) ## Undocumented but required if (n < 2) { b } else { seq(a, b, length = n) } } matlab/R/colorbar.R0000644000176200001440000000610712274522056013652 0ustar liggesusers### ### $Id: colorbar.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Displays colorbar showing the color scale. ### SIDE.BELOW <- as.integer(1) SIDE.LEFT <- as.integer(2) SIDE.ABOVE <- as.integer(3) SIDE.RIGHT <- as.integer(4) LAS.PARALLEL <- as.integer(0) LAS.HORIZONTAL <- as.integer(1) LAS.PERPENDICULAR <- as.integer(2) LAS.VERTICAL <- as.integer(3) ##----------------------------------------------------------------------------- colorbar <- function(C, location = c("EastOutside", "WestOutside", "NorthOutside", "SouthOutside"), ...) { if (!is.numeric(C)) { stop(sprintf("argument %s must be numeric", sQuote("C"))) } if (!is.character(location)) { stop(sprintf("argument %s must be character", sQuote("location"))) } location <- match.arg(location) range.C <- range(C) min.lim.C <- round(range.C[1]) max.lim.C <- round(range.C[2]) seq.lim.C <- seq(min.lim.C, max.lim.C) colorbar.EO <- function(...) { ## Swap number of lines of margin on left and right sides ## to give enough room to draw the tickmark labels on right saved.par <- par(mar = c(5, 2, 4, 4) + 0.1) on.exit(par(saved.par)) graphics::image(x = 1, y = seq.lim.C, z = t(matrix(seq.lim.C, ncol = 1)), ann = FALSE, xaxt = "n", yaxp = c(min.lim.C, max.lim.C, 5), axes = FALSE, ...) axis(SIDE.RIGHT, axTicks(SIDE.RIGHT), las = LAS.HORIZONTAL) box() } colorbar.WO <- function(...) { graphics::image(x = 1, y = seq.lim.C, z = t(matrix(seq.lim.C, ncol = 1)), ann = FALSE, xaxt = "n", yaxp = c(min.lim.C, max.lim.C, 5), las = LAS.HORIZONTAL, ...) } colorbar.NO <- function(...) { graphics::image(x = seq.lim.C, y = 1, z = t(matrix(seq.lim.C, nrow = 1)), ann = FALSE, xaxp = c(min.lim.C, max.lim.C, 5), yaxt = "n", axes = FALSE, ...) axis(SIDE.ABOVE, axTicks(SIDE.ABOVE)) box() } colorbar.SO <- function(...) { graphics::image(x = seq.lim.C, y = 1, z = t(matrix(seq.lim.C, nrow = 1)), ann = FALSE, xaxp = c(min.lim.C, max.lim.C, 5), yaxt = "n", ...) } switch(EXPR = location, EastOutside = colorbar.EO(...), WestOutside = colorbar.WO(...), SouthOutside = colorbar.SO(...), NorthOutside = colorbar.NO(...)) invisible(NULL) } matlab/R/tictoc.R0000644000176200001440000000134312274522056013331 0ustar liggesusers### ### $Id: tictoc.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Stopwatch timer. ### ##----------------------------------------------------------------------------- tic <- function(gcFirst = FALSE) { if (gcFirst == TRUE) { gc(verbose = FALSE) } assign("savedTime", proc.time()[3], envir = .MatlabNamespaceEnv) invisible() } ##----------------------------------------------------------------------------- toc <- function(echo = TRUE) { prevTime <- get("savedTime", envir = .MatlabNamespaceEnv) diffTimeSecs <- proc.time()[3] - prevTime if (echo) { cat(sprintf("elapsed time is %f seconds", diffTimeSecs), "\n") return(invisible()) } else { return(diffTimeSecs) } } matlab/R/reshape.R0000644000176200001440000000155612274735470013507 0ustar liggesusers### ### $Id: reshape.R 55 2014-02-06 16:41:28Z plroebuck $ ### ### Reshape matrix or array. ### ##----------------------------------------------------------------------------- reshape <- function(A, ...) { if (!is.array(A)) { stop(sprintf("argument %s must be matrix or array", sQuote("A"))) } nargs <- length(dots <- list(...)) dims <- as.integer(if (nargs == 1 && is.size_t(dots[[1]])) { dots[[1]] } else { unlist(dots) }) if (!(length(dims) > 1)) { stop("dimensions must be of length greater than 1") } else if (!(all(dims > 0))) { stop("dimensions must be a positive quantity") } else if (prod(dims) != prod(dim(A))) { stop("number of elements must not change") } return(array(as.vector(A), dims)) } matlab/R/rem.R0000644000176200001440000000052212274522056012625 0ustar liggesusers### ### $Id: rem.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Remainder after division. ### ##----------------------------------------------------------------------------- rem <- function(x, y) { ans <- matlab::mod(x, y) if (!((x > 0 && y > 0) || (x < 0 && y < 0))) { ans <- ans - y } return(ans) } matlab/R/fliplr.R0000644000176200001440000000300612274522056013332 0ustar liggesusers### ### $Id: fliplr.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Flip matrices left-right. ### ##----------------------------------------------------------------------------- setGeneric("fliplr", function(object) { #cat("generic", match.call()[[1]], "\n") standardGeneric("fliplr") }) setMethod("fliplr", signature(object = "vector"), function(object) { #cat(match.call()[[1]], "(vector)", "\n") return(rev(object)) }) setMethod("fliplr", signature(object = "matrix"), function(object) { #cat(match.call()[[1]], "(matrix)", "\n") n <- matlab::size(object)[2] return(object[,n:1]) }) setMethod("fliplr", signature(object = "array"), function(object) { #cat(match.call()[[1]], "(array)", "\n") stop(sprintf("argument %s must be vector or matrix", sQuote("object"))) }) setMethod("fliplr", signature(object = "ANY"), function(object) { #cat(match.call()[[1]], "(ANY)", "\n") stop(sprintf("method not defined for %s argument", data.class(object))) }) setMethod("fliplr", signature(object = "missing"), function(object) { #cat(match.call()[[1]], "(missing)", "\n") stop(sprintf("argument %s missing", sQuote("object"))) }) matlab/R/pathsep.R0000644000176200001440000000033212274522056013505 0ustar liggesusers### ### $Id: pathsep.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Path separator for this platform. ### ##----------------------------------------------------------------------------- pathsep <- .Platform$path.sep matlab/R/ceil.R0000644000176200001440000000034512274522056012761 0ustar liggesusers### ### $Id: ceil.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Rounds to the nearest integer. ### ##----------------------------------------------------------------------------- ceil <- function(x) { return(ceiling(x)) } matlab/R/std.R0000644000176200001440000000046312274522056012640 0ustar liggesusers### ### $Id: std.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Standard deviation. ### ##----------------------------------------------------------------------------- std <- function(x, flag = 0) { if (flag != 0) { stop("biased standard deviation not implemented") } return(sd(x)) } matlab/R/fix.R0000644000176200001440000000032512274522056012631 0ustar liggesusers### ### $Id: fix.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Round toward zero. ### ##----------------------------------------------------------------------------- fix <- function(A) { return(trunc(A)) } matlab/R/numel.R0000644000176200001440000000052612274522056013166 0ustar liggesusers### ### $Id: numel.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Provides number of elements. ### ##----------------------------------------------------------------------------- numel <- function(A, varargin) { if (!missing(varargin)) { stop("not implemented") # need example } return(prod(matlab::size(A))) } matlab/R/factors.R0000644000176200001440000000175412274522056013513 0ustar liggesusers### ### $Id: factors.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Factorize natural number. ### ##----------------------------------------------------------------------------- factors <- function(n) { if (!is.numeric(n)) { stop(sprintf("argument %s must be numeric", sQuote("n"))) } else if (!(length(n) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("n"))) } else if (!(n >= 0)) { stop(sprintf("argument %s must be a nonnegative quantity", sQuote("n"))) } n <- floor(n) if (n < 4) { return(n) } p <- matlab::primes(sqrt(n)) # d <- matlab::find(matlab::rem(n, p) == 0) d <- which(n %% p == 0) if (length(d) == 0) { return(n) # n is prime } f <- c() for (q in p[d]) { while (n %% q == 0) { f <- c(f, q) n <- n/q } } if (n > 1) { f <- c(f, n) } return(f) } matlab/R/flipud.R0000644000176200001440000000277612274522056013342 0ustar liggesusers### ### $Id: flipud.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Flip matrices up-down. ### ##----------------------------------------------------------------------------- setGeneric("flipud", function(object) { #cat("generic", match.call()[[1]], "\n") standardGeneric("flipud") }) setMethod("flipud", signature(object = "vector"), function(object) { #cat(match.call()[[1]], "(vector)", "\n") return(rev(object)) }) setMethod("flipud", signature(object = "matrix"), function(object) { #cat(match.call()[[1]], "(matrix)", "\n") m <- matlab::size(object)[1] return(object[m:1,]) }) setMethod("flipud", signature(object = "array"), function(object) { #cat(match.call()[[1]], "(array)", "\n") stop(sprintf("argument %s must be vector or matrix", sQuote("object"))) }) setMethod("flipud", signature(object = "ANY"), function(object) { #cat(match.call()[[1]], "(ANY)", "\n") stop(sprintf("method not defined for %s argument", data.class(object))) }) setMethod("flipud", signature(object = "missing"), function(object) { #cat(match.call()[[1]], "(missing)", "\n") stop(sprintf("argument %s missing", sQuote("object"))) }) matlab/R/eye.R0000644000176200001440000000210712274735470012633 0ustar liggesusers### ### $Id: eye.R 55 2014-02-06 16:41:28Z plroebuck $ ### ### Create an identity matrix. ### ##----------------------------------------------------------------------------- eye <- function(m, n) { if (is.size_t(m)) { m <- as.integer(m) } if (missing(n)) { len.m <- length(m) if (len.m == 1) { n <- m } else if (len.m > 1) { n <- m[-1] m <- m[1] } } if (!is.numeric(n)) { stop(sprintf("argument %s must be numeric", sQuote("n"))) } else if (!(length(n) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("n"))) } else if (!(n > 0)) { stop(sprintf("argument %s must be a positive quantity", sQuote("n"))) } if (!is.numeric(m)) { stop(sprintf("argument %s must be numeric", sQuote("m"))) } else if (!(length(m) == 1)) { stop(sprintf("argument %s must be of length 1", sQuote("m"))) } else if (!(m > 0)) { stop(sprintf("argument %s must be a positive quantity", sQuote("m"))) } return(diag(1, m, n)) } matlab/R/find.R0000644000176200001440000000052612274522056012766 0ustar liggesusers### ### $Id: find.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Find indices of nonzero elements. ### ##----------------------------------------------------------------------------- find <- function(x) { expr <- if (is.logical(x)) { x } else { x != 0 } return(which(expr)) } matlab/R/zzz.R0000644000176200001440000000341312274522056012701 0ustar liggesusers### ### $Id: zzz.R 48 2014-02-05 20:50:54Z plroebuck $ ### ### Hooks called as package 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plroebuck $ \name{rosser} \alias{rosser} \title{MATLAB rosser function} \description{ Create the Rosser matrix, a classic symmetric eigenvalue test problem. } \usage{ rosser() } \details{ The returned matrix has the following features: \itemize{ \item{a double eigenvalue} \item{three nearly equal eigenvalues} \item{dominant eigenvalues of opposite sign} \item{a zero eigenvalue} \item{a small, nonzero eigenvalue} } } \value{ Returns an \code{8}-by-\code{8} matrix with integer elements. } \examples{ rosser() } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/hilb.Rd0000644000176200001440000000115712274524724013507 0ustar liggesusers% $Id: hilb.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{hilb} \alias{hilb} \title{MATLAB hilb function} \description{ Create a Hilbert matrix. } \usage{ hilb(n) } \arguments{ \item{n}{numeric scalar specifying dimensions for the result} } \details{ The Hilbert matrix is a notable example of a poorly conditioned matrix. Its elements are \preformatted{ H[i, j] = 1 / (i + j - 1)}. } \value{ Returns an \code{n}-by-\code{n} matrix constructed as described above. } \examples{ hilb(3) } \author{ H. Borchers \email{hwborchers@googlemail.com}, P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/isempty.Rd0000644000176200001440000000105612274524724014261 0ustar liggesusers% $Id: isempty.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{isempty} \alias{isempty} \title{MATLAB isempty function} \description{ Determine if object is empty. } \usage{ isempty(A) } \arguments{ \item{A}{object to evaluate} } \details{ An empty object has at least one dimension of size zero. } \value{ Returns \code{TRUE} if \code{x} is an empty object; otherwise, \code{FALSE}. } \examples{ isempty(1:3) # FALSE isempty(array(NA, c(2, 0, 2))) # TRUE } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{logic} \keyword{attribute} matlab/man/reshape.Rd0000644000176200001440000000270412274524724014217 0ustar liggesusers% $Id: reshape.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{reshape} \alias{reshape} \title{MATLAB reshape function} \description{ Reshape matrix or array. } \usage{ reshape(A, \dots) } \arguments{ \item{A}{matrix or array containing the original data} \item{\dots}{numeric dimensions for the result} } \details{ In the first example below, an \code{m}-by-\code{n} matrix is created whose elements are taken column-wise from \code{A}. An error occurs if \code{A} does not have \eqn{m*n} elements.\cr In the second example below, an \code{n}-dimensional array with the same elements as \code{A} but reshaped to have the size \code{m}-by-\code{n}-by-\code{p}. The product of the specified dimensions must be the same as \code{prod(size(A))}.\cr In the third example below, an \code{n}-dimensional array with the same elements as \code{A} but reshaped to \code{siz}, a vector representing the dimensions of the reshaped array. The quantity \code{prod(siz)} must be the same as \code{prod(size(A))}. } \value{ Returns matrix (or array) of requested dimensions containing the elements of \code{A}. } \examples{ Xmat.2d <- matrix(1:12, nrow=4, ncol=3) reshape(Xmat.2d, 6, 2) # example 1 reshape(Xmat.2d, c(6, 2)) # same thing Xarr.3d <- reshape(Xmat.2d, c(6, 2, 1)) # example 2 reshape(Xmat.2d, size(Xarr.3d)) # example 3 } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/pow2.Rd0000644000176200001440000000222712274524724013457 0ustar liggesusers% $Id: pow2.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{pow2} \alias{pow2} \title{MATLAB pow2 function} \description{ Power with base 2. } \usage{ pow2(f, e) } \arguments{ \item{f}{numeric vector of factors} \item{e}{numeric vector of exponents for base 2} } \details{ Computes the expression \code{f * 2^e} for corresponding elements of \code{f} and \code{e}. If \code{e} is missing, it sets \code{e} to \code{f} and \code{f} to 1. Imaginary parts of complex values are ignored unless \code{e} is missing. } \value{ Returns numeric vector constructed as described above. } \author{ H. Borchers \email{hwborchers@googlemail.com}, P. Roebuck \email{proebuck@mdanderson.org} } \seealso{ \code{\link{nextpow2}} } \examples{ pow2(c(0, 1, 2, 3)) # 1 2 4 8 pow2(c(0, -1, 2, 3), c(0,1,-2,3)) # 0.0 -2.0 0.5 24.0 pow2(1i) # 0.7692389+0.6389613i # For IEEE arithmetic... pow2(1/2, 1) # 1 pow2(pi/4, 2) # pi pow2(-3/4, 2) # -3 pow2(1/2, -51) # .Machine$double.eps pow2(1/2, -1021) # .Machine$double.xmin } \keyword{arith} matlab/man/repmat.Rd0000644000176200001440000000156212274524724014061 0ustar liggesusers% $Id: repmat.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{repmat} \alias{repmat} \title{MATLAB repmat function} \description{ Replicate and tile a matrix. } \usage{ repmat(A, \dots) } \arguments{ \item{A}{vector or matrix to be tiled. Must be numeric, logical, complex or character.} \item{\dots}{numeric dimensions for the result} } \value{ Returns matrix with value \code{A} tiled to the number of dimensions specified. Defaults to square if dimension argument resolves to a single value. } \seealso{ \code{\link{ones}}, \code{\link{zeros}} } \examples{ repmat(1, 3) # same as ones(3) repmat(1, c(3, 3)) # same thing repmat(1, 3, 3) # same thing repmat(1, size(matrix(NA, 3, 3))) # same thing repmat(matrix(1:4, 2, 2), 3) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/nextpow2.Rd0000644000176200001440000000205612274524724014356 0ustar liggesusers% $Id: nextpow2.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{nextpow2} \alias{nextpow2} \title{MATLAB nextpow2 function} \description{ Smallest power of 2 greater than or equal to its argument. } \usage{ nextpow2(x) } \arguments{ \item{x}{numeric or complex value(s).} } \details{ Computes the smallest power of two that is greater than or equal to the absolute value of \code{x}. (That is, \code{p} that satisfies \eqn{2^p \ge abs(x)}). For negative or complex values, the absolute value will be taken. } \value{ Returns numeric result containing integer \code{p} as described above. Nonscalar input returns an element-by-element result (of same size/dimensions as its input). } \author{ H. Borchers \email{hwborchers@googlemail.com}, P. Roebuck \email{proebuck@mdanderson.org} } \seealso{ \code{\link{pow2}} } \examples{ nextpow2(10) # 4 nextpow2(1:10) # 0 1 2 2 3 3 3 3 4 4 nextpow2(-2^10) # 10 nextpow2(.Machine$double.eps) # -52 nextpow2(c(0.5, 0.25, 0.125)) # -1 -2 -3 } \keyword{arith} matlab/man/magic.Rd0000644000176200001440000000160612274524724013650 0ustar liggesusers% $Id: magic.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{magic} \alias{magic} \title{MATLAB magic function} \description{ Create a magic square. } \usage{ magic(n) } \arguments{ \item{n}{numeric scalar specifying dimensions for the result} } \details{ The value of the characteristic sum for a magic square of order \code{n} is \eqn{sum(1:n^2)/n}. The order \code{n} must be a scalar greater than or equal to 3; otherwise, the result will be either a nonmagic square, or else the degenerate magic squares 1 and []. } \value{ Returns an \code{n}-by-\code{n} matrix constructed from the integers \code{1} through \eqn{N^2} with equal row and column sums. } \note{ A magic square, scaled by its magic sum, is doubly stochastic. } \seealso{ \code{\link{ones}}, \code{\link{zeros}} } \examples{ magic(3) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/primes.Rd0000644000176200001440000000216212274524724014065 0ustar liggesusers% $Id: primes.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{primes} \alias{primes} \title{MATLAB primes function} \description{ Generate a list of prime numbers. } \usage{ primes(n) } \arguments{ \item{n}{scalar numeric specifying largest prime number desired.} } \details{ Generates the list of prime numbers less than or equal to \code{n} using a variant of the basic "Sieve of Eratosthenes" algorithm. This approach is reasonably fast, but requires a copious amount of memory when \code{n} is large. A prime number is one that has no other factors other than \code{1} and itself. } \value{ Returns numeric vector containing prime numbers less than or equal to argument \code{n}. } \seealso{ \code{\link{isprime}}, \code{\link{factors}} } \examples{ primes(1000) length(primes(1e6)) # 78498 prime numbers less than one million \dontrun{ length(primes(1e7)) # 664579 prime numbers less than ten million length(primes(1e8)) # 5761455 prime numbers less than one hundred million } } \author{ H. Borchers \email{hwborchers@googlemail.com}, P. Roebuck \email{proebuck@mdanderson.org} } \keyword{arith} matlab/man/ones.Rd0000644000176200001440000000127612274524724013537 0ustar liggesusers% $Id: ones.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{ones} \alias{ones} \alias{zeros} \title{MATLAB ones/zeros functions} \description{ Create a matrix consisting of all ones or zeros. } \usage{ ones(\dots) zeros(\dots) } \arguments{ \item{\dots}{numeric dimensions for the result} } \value{ Returns matrix consisting only of ones (or zeros). Defaults to square if dimension argument resolves to a single value. } \seealso{ \code{\link{eye}} } \examples{ ones(3) ones(c(3, 3)) # same thing ones(3, 3) # same thing ones(size(matrix(NA, 3, 3))) # same thing zeros(3) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/fileparts.Rd0000644000176200001440000000271012274524724014556 0ustar liggesusers% $Id: fileparts.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{fileparts} \alias{fileparts} \title{MATLAB fileparts function} \description{ Return filename parts. } \usage{ fileparts(pathname) } \arguments{ \item{pathname}{character string representing pathname to be parsed} } \details{ Determines the path, filename, extension, and version for the specified file. The returned \code{ext} contains a dot (.) before the file extension. The returned \code{versn} is always an empty string as the field is provided for compatibility with its namesake's results. } \value{ Returns a list with components: \item{pathstr}{character string representing directory path} \item{name}{character string representing base of file name} \item{ext}{character string representing file extension} \item{versn}{character string representing version. Unused} } \note{ Returns same insane results as does its namesake when handling relative directories, UNIX hidden files, and tilde expansion. Hidden files are returned with \code{name} containing a zero length vector and \code{ext} containing the actual name. For best results, use this routine to process files, not directories. } \seealso{ \code{\link{fullfile}} } \examples{ ## Rename dot-txt file as dot-csv ans <- fileparts("/home/luser/foo.txt") fullfile(ans$pathstr, paste(ans$name, "csv", sep=".")) # /home/luser/foo.csv } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{file} matlab/man/ceil.Rd0000644000176200001440000000113712274524724013503 0ustar liggesusers% $Id: ceil.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{ceil} \alias{ceil} \title{MATLAB ceil function} \description{ Rounds to the nearest integer. } \usage{ ceil(x) } \arguments{ \item{x}{numeric to be rounded} } \details{ Simply invokes \code{ceiling} for those more used to C library API name. } \value{ Returns numeric vector containing smallest integers not less than the corresponding elements of argument \code{x}. } \seealso{ \code{\link{fix}}, \code{\link[base]{Round}} } \examples{ ceil(c(0.9, 1.3, 2.4)) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{arith} matlab/man/std.Rd0000644000176200001440000000132412274524724013357 0ustar liggesusers% $Id: std.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{std} \alias{std} \title{MATLAB std function} \description{ Computes the standard deviation of the values of \code{x}. } \usage{ std(x, flag=0) } \arguments{ \item{x}{numeric vector or matrix} \item{flag}{numeric scalar. If \code{0}, selects unbiased algorithm. If \code{1}, selects biased algorithm (currently unsupported).} } \details{ Simply invokes \code{\link[stats]{sd}}. } \value{ Return value depends on argument \code{x}. If vector, returns the standard deviation. If matrix, returns vector containing the standard deviation of each column. } \examples{ std(1:2) ^ 2 } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{univar} matlab/man/rot90.Rd0000644000176200001440000000130012274524724013534 0ustar liggesusers% $Id: rot90.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{rot90} \alias{rot90} \title{MATLAB rot90 function} \description{ Rotates matrix counterclockwise \code{k*90} degrees. } \usage{ rot90(A, k=1) } \arguments{ \item{A}{matrix to be rotated} \item{k}{numeric scalar specifying the number of times to rotate (1..4)} } \details{ Rotating 4 times (360 degrees) returns the original matrix unchanged. } \value{ Returns matrix corresponding to argument \code{A} having been rotated argument \code{k} number of times. } \seealso{ \code{\link{fliplr}}, \code{\link{flipud}} } \examples{ rot90(matrix(1:4, 2, 2)) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/numel.Rd0000644000176200001440000000107412274524724013707 0ustar liggesusers% $Id: numel.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{numel} \alias{numel} \title{MATLAB numel function} \description{ Provides number of elements in array \code{A} or subscripted array expression. } \usage{ numel(A, varargin) } \arguments{ \item{A}{object of which to determine the number of elements} \item{varargin}{unimplemented} } \value{ Returns \code{prod(size(A))}. } \seealso{ \code{\link[base]{prod}}, \code{\link{size}} } \examples{ numel(2:9) # 8 numel(magic(4)) # 16 } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/pascal.Rd0000644000176200001440000000151012274524724014025 0ustar liggesusers% $Id: pascal.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{pascal} \alias{pascal} \title{MATLAB pascal function} \description{ Generate Pascal matrix. } \usage{ pascal(n, k=0) } \arguments{ \item{n}{numeric scalar specifying order} \item{k}{numeric scalar specifying desired option. Valid values are 0, 1, or 2} } \details{ Specifying \eqn{k=0} returns symmetric positive definite matrix with integer entries taken from Pascal's triangle. Specifying \eqn{k=1} returns the lower triangular Cholesky factor (up to the signs of the columns) of the Pascal matrix. Specifying \eqn{k=2} returns a cube root of the identity matrix. } \value{ Returns matrix of order \code{n} according to specified option \code{k}. } \examples{ pascal(4) pascal(3, 2) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/tictoc.Rd0000644000176200001440000000143212274524724014052 0ustar liggesusers% $Id: tictoc.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{tictoc} \alias{tic} \alias{toc} \title{MATLAB timer functions} \description{ Provides stopwatch timer. Function \code{tic} starts the timer and \code{toc} updates the elapsed time since the timer was started. } \usage{ tic(gcFirst=FALSE) toc(echo=TRUE) } \arguments{ \item{gcFirst}{logical scalar. If \code{TRUE}, perform garbage collection prior to starting stopwatch} \item{echo}{logical scalar. If \code{TRUE}, print elapsed time to screen} } \details{ Provides analog to \code{\link[base]{system.time}}. Function \code{toc} can be invoked multiple times in a row. } \examples{ tic() for(i in 1:100) mad(runif(1000)) # kill time toc() } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{utilities} matlab/man/multiline.plot.colors.Rd0000644000176200001440000000205312274524724017044 0ustar liggesusers% $Id: multiline.plot.colors.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{multiline.plot.colors} \alias{multiline.plot.colors} \title{MATLAB multiline plot colors} \description{ Creates a vector of colors equivalent to MATLAB's default colors to use for multiline plots. } \usage{ multiline.plot.colors() } \details{ This is equivalent to the MATLAB command \preformatted{ get(gca, 'ColorOrder') } } \value{ Returns vector of color names. This can be used either to create a user-defined color palette for subsequent graphics, a \code{col=} specification in graphics functions, or in \code{par}. } \note{ Method should be considered experimental and will most likely be removed and replaced with similar functionality in the near future. } \seealso{ \code{\link[grDevices]{palette}}, \code{\link[graphics]{par}}, \code{\link[grDevices]{rgb}} } \examples{ require(graphics) x <- matrix(1:16, nrow=2, byrow=TRUE) matplot(x, type="l", col=multiline.plot.colors()) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{color} matlab/man/fix.Rd0000644000176200001440000000106312274524724013353 0ustar liggesusers% $Id: fix.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{fix} \alias{fix} \title{MATLAB fix function} \description{ Rounds toward zero. } \usage{ fix(A) } \arguments{ \item{A}{numeric to be rounded} } \details{ Simply invokes \code{\link[base:Round]{trunc}}. } \value{ Returns vector containing integers by truncating the corresponding values of argument \code{A} toward zero. } \seealso{ \code{\link{ceil}}, \code{\link[base]{Round}} } \examples{ fix(c(1.3, 2.5, 3.7)) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{arith} matlab/man/fullfile.Rd0000644000176200001440000000171712274524724014375 0ustar liggesusers% $Id: fullfile.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{fullfile} \alias{fullfile} \title{MATLAB fullfile function} \description{ Contructs path to a file from components in platform-independent manner } \usage{ fullfile(\dots) } \arguments{ \item{\dots}{character strings representing path components} } \details{ Builds a full filename from the directories and filename specified. This is conceptually equivalent to \preformatted{ paste(dir1, dir2, dir3, filename, sep=filesep) } with care taken to handle cases when directories begin or end with a separator. } \value{ Returns character vector of arguments concatenated term-by-term and separated by file separator if all arguments have a positive length; otherwise, an empty character vector. } \seealso{ \code{\link{fileparts}}, \code{\link{filesep}} } \examples{ fullfile("", "etc", "profile") # /etc/profile } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{file} matlab/man/find.Rd0000644000176200001440000000105112274524724013502 0ustar liggesusers% $Id: find.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{find} \alias{find} \title{MATLAB find function} \description{ Finds indices of elements. } \usage{ find(x) } \arguments{ \item{x}{expression to evaluate} } \details{ If expression is not logical, finds indices of nonzero elements of argument \code{x}. } \value{ Returns indices of corresponding elements matching the expression \code{x}. } \examples{ find(-3:3 >= 0) find(c(0, 1, 0, 2, 3)) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{logic} \keyword{attribute} matlab/man/fliplr.Rd0000644000176200001440000000172512274524724014062 0ustar liggesusers% $Id: fliplr.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{fliplr} \alias{fliplr} \alias{fliplr,ANY-method} \alias{fliplr,array-method} \alias{fliplr,matrix-method} \alias{fliplr,missing-method} \alias{fliplr,vector-method} \alias{flipud} \alias{flipud,ANY-method} \alias{flipud,array-method} \alias{flipud,matrix-method} \alias{flipud,missing-method} \alias{flipud,vector-method} \title{MATLAB matrix flip functions} \description{ Flips matrices either left-right or up-down. } \usage{ fliplr(object) flipud(object) } \arguments{ \item{object}{vector or matrix to be flipped} } \details{ These are S4 generic functions. } \value{ Return value is the same type as argument \code{object}. } \seealso{ \code{\link{rot90}} } \examples{ fliplr(1:9) flipud(1:9) # same as previous since vectors have no orientation in R fliplr(matrix(1:9, 3, 3, byrow=TRUE)) flipud(matrix(1:9, 3, 3, byrow=TRUE)) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/factors.Rd0000644000176200001440000000172012274524724014226 0ustar liggesusers% $Id: factors.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{factors} \alias{factors} \title{MATLAB factor function} \description{ Performs prime factorization. } \usage{ factors(n) } \arguments{ \item{n}{numeric scalar specifying composite number to be factored} } \details{ Computes the prime factors of \code{n} in ascending order, each one as often as its multiplicity requires, such that \code{n == prod(factors(n))}. } \value{ Returns vector containing the prime factors of \code{n}. } \note{ The corresponding MATLAB function is called 'factor', but was renamed here to avoid conflict with R's compound object class. } \seealso{ \code{\link{isprime}}, \code{\link{primes}} } \examples{ factors(1002001) # 7 7 11 11 13 13 factors(65537) # is prime ## Euler's calculation factors(2^32 + 1) # 641 6700417 } \author{ H. Borchers \email{hwborchers@googlemail.com}, P. Roebuck \email{proebuck@mdanderson.org} } \keyword{arith} matlab/man/filesep.Rd0000644000176200001440000000122112274524724014210 0ustar liggesusers% $Id: filesep.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{filesep} \alias{filesep} \title{MATLAB filesep function} \description{ Returns the character that separates directory names in filenames. } \usage{ filesep } \details{ Variable that contains the value of \code{.Platform$file.sep}. } \value{ Returns character representing this platform's file separator. } \note{ Implemented as an R variable rather than a function such that it more closely resembles normal MATLAB usage. } \seealso{ \code{\link{fileparts}}, \code{\link{fullfile}}, \code{\link{pathsep}} } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{file} matlab/man/meshgrid.Rd0000644000176200001440000000261212274524724014370 0ustar liggesusers% $Id: meshgrid.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{meshgrid} \alias{meshgrid} \title{MATLAB meshgrid functions} \description{ Generate X and Y matrices for three-dimensional plots. } \usage{ meshgrid(x, y, z, nargout=2) } \arguments{ \item{x, y, z}{numeric vectors of values} \item{nargout}{numeric scalar that determines number of dimensions to return} } \details{ In the first example below, the domain specified by vectors \code{x} and \code{y} are transformed into two arrays which can be used to evaluate functions of two variables and three-dimensional surface plots. The rows of the output array \code{x} are copies of the vector \code{x}; columns of the output array \code{y} are copies of the vector \code{y}.\cr The second example below is syntactic sugar for specifying \code{meshgrid(x, x)}.\cr The third example below produces three-dimensional arrays used to evaluate functions of three variables and three-dimensional volumetric plots. } \value{ Returns list containing eiher two or three matrices depending on the value of \code{nargout}. \item{x, y, z}{output matrices} } \note{ Limited to two- or three-dimensional Cartesian space. } \examples{ meshgrid(1:3, 10:14) # example 1 meshgrid(1:3) # example 2 meshgrid(5:8, 10:14, 2:3, 3) # example 3 } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/size.Rd0000644000176200001440000000262412274524724013543 0ustar liggesusers% $Id: size.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{size} \alias{size} \alias{size,array,integer-method} \alias{size,array,missing-method} \alias{size,array,numeric-method} \alias{size,matrix,integer-method} \alias{size,matrix,missing-method} \alias{size,matrix,numeric-method} \alias{size,vector,missing-method} \alias{size,vector,numeric-method} \alias{size,missing,ANY-method} \title{MATLAB size function} \description{ Provides dimensions of \code{X}. } \usage{ size(X, dimen) } \arguments{ \item{X}{vector, matrix, or array object} \item{dimen}{numeric scalar specifies particular dimension} } \details{ This is an S4 generic function. Vector will be treated as a single row matrix. Stored value is equivalent to \code{\link[base]{dim}}. } \value{ Returns object of class \code{size_t} containing the dimensions of input argument \code{X} if invoked with a single argument. Returns integer value of specified dimension if invoked with two arguments. If \code{dimen} specifies a higher dimension than exists, returns 1 representing the singleton dimension. } \note{ Handling of vectors is different than in initial implementation. Initial implementation returned \code{\link[base]{length}}. } \examples{ size(2:9) # 1 8 size(matrix(1:8, 2, 4)) # 2 4 size(matrix(1:8, 2, 4), 2) # 4 size(matrix(1:8, 2, 4), 3) # 1 } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/mod.Rd0000644000176200001440000000110112274524724013335 0ustar liggesusers% $Id: mod.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{mod} \alias{mod} \alias{rem} \title{MATLAB mod/rem functions} \description{ Provides modulus and remainder after division. } \usage{ mod(x, y) rem(x, y) } \arguments{ \item{x, y}{numeric vectors or objects} } \value{ Returns vector containing result of the element by element operations. } \examples{ ## same results with x, y having the same sign mod(5, 3) rem(5, 3) ## same results with x, y having different signs mod(-5, 3) rem(-5, 3) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{arith} matlab/man/size_t-class.Rd0000644000176200001440000000141412274524724015165 0ustar liggesusers% $Id: size_t-class.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{size_t-class} \alias{size_t-class} \docType{class} \title{Class "size\_t"} \description{ This class represents the dimensions of another \R object } \section{Objects from the Class}{ Objects can be created by calls of the form \code{new("size_t", \dots)}. Use of generator method is preferred. } \section{Slots}{ \describe{ \item{\code{.Data}:}{object of class \code{"integer"} containing size values} } } \section{Extends}{ Class \code{"integer"}, from data part. Class \code{"vector"}, by class \code{"integer"}. Class \code{"numeric"}, by class \code{"integer"}. } \note{ Internal class supporting \code{\link{size}}. } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{classes} matlab/man/colorbar.Rd0000644000176200001440000000537112274524724014376 0ustar liggesusers% $Id: colorbar.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{colorbar} \alias{colorbar} \title{MATLAB colorbar function} \description{ Displays colorbar showing the color scale. } \usage{ colorbar(C, location=c("EastOutside", "WestOutside", "NorthOutside", "SouthOutside"), \dots) } \arguments{ \item{C}{numeric vector or matrix representing data values} \item{location}{character scalar indicating desired orientation with respect to the axes} \item{\dots}{graphical parameters for \link[graphics]{image} may also be passed as arguments to this method} } \details{ The values of the elements of \code{C} are indices into the current \link[grDevices]{palette} that determine the color of each patch. This implementation differs a bit from its MATLAB counterpart in that the values must be passed explicitly. } \seealso{ \code{\link{imagesc}}, \code{\link{jet.colors}}, \code{\link[graphics]{layout}}, \code{\link[graphics]{par}} } \examples{ doPlot <- function(C, cb.loc=c("EastOutside", "WestOutside", "NorthOutside", "SouthOutside"), ...) { saved.par <- par(no.readonly=TRUE) on.exit(par(saved.par)) layout.EO <- function() { ## divide the device into one row and nine columns ## allocate figure 1 the first eight columns ## allocate figure 2 the last column layout(matrix(c(1, 1, 1, 1, 1, 1, 1, 1, 2), ncol=9)) } layout.WO <- function() { ## divide the device into one row and nine columns ## allocate figure 1 the last eight columns ## allocate figure 2 the first column layout(matrix(c(2, 1, 1, 1, 1, 1, 1, 1, 1), ncol=9)) } layout.NO <- function() { ## divide the device into six rows and one column ## allocate figure 1 the last five rows ## allocate figure 2 the first row layout(matrix(c(2, 1, 1, 1, 1, 1), nrow=6)) } layout.SO <- function() { ## divide the device into six rows and one column ## allocate figure 1 the first five rows ## allocate figure 2 the last row layout(matrix(c(1, 1, 1, 1, 1, 2), nrow=6)) } location <- match.arg(cb.loc) switch(EXPR=location, EastOutside = layout.EO(), WestOutside = layout.WO(), NorthOutside = layout.NO(), SouthOutside = layout.SO()) imagesc(C, ...) colorbar(C, location, ...) } values <- matrix(c(seq(1, 5, by=1), seq(2, 10, by=2), seq(3, 15, by=3)), nrow=3, byrow=TRUE) dev.new(width=8, height=7) doPlot(values, "EastOutside", col=jet.colors(16)) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{hplot} matlab/man/imagesc.Rd0000644000176200001440000000323412274524724014177 0ustar liggesusers% $Id: imagesc.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{imagesc} \alias{imagesc} \title{MATLAB imagesc function} \description{ Scales image data to the full range of the current palette and displays the image. } \usage{ imagesc(x=seq(ncol(C)), y=seq(nrow(C)), C, col=jet.colors(12), \dots) } \arguments{ \item{x,y}{locations of grid lines at which the values in \code{C} are measured. These must be finite, non-missing and in (strictly) ascending order. By default, the dimensions of \code{C} are used.} \item{C}{numeric matrix representing data to be plotted. Note that \code{x} can be used instead of \code{C} for convenience.} \item{col}{vector of colors used to display image data} \item{\dots}{graphical parameters for \link[graphics]{image} may also be passed as arguments to this method} } \details{ Each element of \code{C} corresponds to a rectangular area in the image. The values of the elements of \code{C} are indices into the current \link[grDevices]{palette} that determine the color of each patch. The method interprets the matrix data as a table of \code{f(x[i], y[j])} values, so that the x axis corresponds to column number and the y axis to row number, with row 1 at the top, i.e., the same as the conventional printed layout of a matrix. } \seealso{ \code{\link[graphics]{image}}, \code{\link{jet.colors}}, \code{\link[graphics]{par}} } \examples{ values <- matrix(c(seq(1, 5, by=1), seq(2, 10, by=2), seq(3, 15, by=3)), nrow=3, byrow=TRUE) imagesc(values, xlab="cols", ylab="rows", col=jet.colors(16)) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{hplot} matlab/man/cell.Rd0000644000176200001440000000115512274524724013506 0ustar liggesusers% $Id: cell.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{cell} \alias{cell} \title{MATLAB cell function} \description{ Create cell array. } \usage{ cell(\dots) } \arguments{ \item{\dots}{numeric dimensions for the result} } \value{ Returns list consisting of empty matrices. Defaults to square if dimension argument resolves to a single value. } \seealso{ \code{\link{ones}}, \code{\link{zeros}} } \examples{ cell(3) cell(c(3, 3)) # same thing cell(3, 3) # same thing cell(size(matrix(NA, 3, 3))) # same thing } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} \keyword{list} matlab/man/vander.Rd0000644000176200001440000000132612274524724014046 0ustar liggesusers% $Id: vander.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{vander} \alias{vander} \title{MATLAB vander function} \description{ Generate Vandermonde matrix from a vector of numbers. } \usage{ vander(v) } \arguments{ \item{v}{numeric or complex vector of values} } \details{ Generates the Vandermonde matrix whose columns are powers of the vector \code{v} (of length \code{n}) using the formula \preformatted{ A[i, j] = v[i]^(n-j) } Used when fitting a polynomial to given points. } \value{ Returns an \code{n}-by-\code{n} matrix constructed as described above. } \examples{ vander(1:5) } \author{ H. Borchers \email{hwborchers@googlemail.com}, P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/linspace.Rd0000644000176200001440000000167312274524724014372 0ustar liggesusers% $Id: linspace.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{linspace} \alias{linspace} \title{MATLAB linspace function} \description{ Generate linearly spaced vectors. } \usage{ linspace(a, b, n=100) } \arguments{ \item{a}{numeric scalar specifying starting point} \item{b}{numeric scalar specifying ending point} \item{n}{numeric scalar specifying number of points to be generated} } \details{ Similar to colon operator but gives direct control over the number of points. Note also that although MATLAB doesn't specifically document this, the number of points generated is actually \code{floor(n)}. } \value{ Returns vector containing containing \code{n} points linearly spaced between \code{a} and \code{b} inclusive. If \eqn{\code{n} < 2}, the result will be the ending point \code{b}. } \seealso{ \code{\link{logspace}} } \examples{ linspace(1, 10, 4) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{manip} matlab/man/logspace.Rd0000644000176200001440000000154012274524724014362 0ustar liggesusers% $Id: logspace.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{logspace} \alias{logspace} \title{MATLAB logspace function} \description{ Generate logarithmically spaced vectors. } \usage{ logspace(a, b, n=50) } \arguments{ \item{a}{numeric scalar specifying exponent for starting point} \item{b}{numeric scalar specifying exponent for ending point} \item{n}{numeric scalar specifying number of points to be generated} } \details{ Useful for creating frequency vectors, it is a logarithmic equivalent of \code{linspace}. } \value{ Returns vector containing containing \code{n} points logarithmically spaced between decades \eqn{10^\code{a}} and \eqn{10^\code{b}}. For \eqn{n < 2}, \code{b} is returned. } \seealso{ \code{\link{linspace}} } \examples{ logspace(1, pi, 36) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{manip} matlab/man/jet.colors.Rd0000644000176200001440000000155512274524724014655 0ustar liggesusers% $Id: jet.colors.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{jet.colors} \alias{jet.colors} \title{MATLAB jet function} \description{ Creates a vector of \code{n} colors beginning with dark blue, ranging through shades of blue, cyan, green, yellow and red, and ending with dark red. } \usage{ jet.colors(n) } \arguments{ \item{n}{numeric scalar specifying number of colors to be in the palette} } \value{ Returns vector of \code{n} color names. This can be used either to create a user-defined color palette for subsequent graphics, a \code{col=} specification in graphics functions, or in \code{par}. } \seealso{ \code{\link[grDevices]{palette}}, \code{\link[graphics]{par}}, \code{\link[grDevices]{rgb}} } \examples{ require(graphics) x <- 1:16 pie(x, col=jet.colors(length(x))) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{color} matlab/man/strcmp.Rd0000644000176200001440000000131512274524724014075 0ustar liggesusers% $Id: strcmp.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{strcmp} \alias{strcmp} \title{MATLAB strcmp function} \description{ Compare strings. } \usage{ strcmp(S, T) } \arguments{ \item{S, T}{character vectors to evaluate} } \details{ Comparisons are case-sensitive and any leading and trailing blanks in either of the strings are explicitly included in the comparison. } \value{ Returns \code{TRUE} if \code{S} is identical to \code{T}; otherwise, \code{FALSE}. } \note{ Value returned is the opposite of the C language convention. } \examples{ strcmp("foo", "bar") # FALSE strcmp(c("yes", "no"), c("yes", "no")) # TRUE } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{character} matlab/man/padarray.Rd0000644000176200001440000000406612274524724014376 0ustar liggesusers% $Id: padarray.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{padarray} \alias{padarray} \alias{padarray,array,numeric,missing,missing-method} \alias{padarray,array,numeric,ANY,character-method} \alias{padarray,array,numeric,character,character-method} \alias{padarray,vector,numeric,ANY,ANY-method} \title{MATLAB padarray function} \description{ Pad array. } \usage{ padarray(A, padsize, padval=0, direction=c("both", "pre", "post")) } \arguments{ \item{A}{vector, matrix, or array to be padded} \item{padsize}{integer vector specifying both amount of padding and the dimension along which to add it} \item{padval}{scalar value specifying pad value, which defaults to 0. \cr Instead, it may specify the method used to determine pad values. \cr Valid values for the method are: \tabular{ll}{ \code{"circular"} \tab pad with circular repetition of elements within the dimension \cr \code{"replicate"} \tab pad by repeating border elements of array \cr \code{"symmetric"} \tab pad array with mirror reflections of itself \cr } } \item{direction}{character string specifying direction to apply padding. \cr Valid values are: \tabular{ll}{ \code{"both"} \tab pad before first element and after last array element along each dimension \cr \code{"pre"} \tab pad after last array element along each dimension \cr \code{"post"} \tab pad before first array element along each dimension \cr } } } \details{ This is an S4 generic function. } \value{ Return value is the same type as argument \code{A} with requested padding. } \examples{ padarray(1:4, c(0, 2)) # 0 0 [1 2 3 4] 0 0 padarray(1:4, c(0, 2), -1) # -1 -1 [1 2 3 4] -1 -1 padarray(1:4, c(0, 2), -1, "post") # [1 2 3 4] -1 -1 padarray(1:4, c(0, 3), "symmetric", "pre") # 3 2 1 [1 2 3 4] padarray(letters[1:5], c(0, 3), "replicate") # a a a [a b c d e] e e e padarray(letters[1:5], c(0, 3), "circular", "post") # [a b c d e] a b c } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/matlab-package.Rd0000644000176200001440000000213212350634750015410 0ustar liggesusers% $Id: matlab-package.Rd 59 2014-06-19 19:28:40Z plroebuck $ \name{matlab-package} \alias{matlab-package} \docType{package} \title{MATLAB Emulation Functions} \description{ Wrapper functions and variables used to replicate MATLAB function calls as best possible to simplify porting. } \details{ \tabular{ll}{ Package: \tab matlab\cr Type: \tab Package\cr Version: \tab \Sexpr[results=text]{packageDescription("matlab")$Version}\cr Date: \tab \Sexpr[results=text]{packageDescription("matlab")$Date}\cr License: \tab \Sexpr[results=text]{packageDescription("matlab")$License}\cr } They are no more complete than absolutely necessary and are quite possibly broken for fringe cases. For a complete list of functions, use \code{library(help="matlab")}.\cr For a high-level summary of the changes for each revision, use \code{file.show(system.file("NEWS", package="matlab"))}. } \note{ In certain cases, these may not correspond exactly with MATLAB API as sometimes it just wasn't possible. } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{package} matlab/man/eye.Rd0000644000176200001440000000100112274524724013337 0ustar liggesusers% $Id: eye.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{eye} \alias{eye} \title{MATLAB eye function} \description{ Create an identity matrix. } \usage{ eye(m, n) } \arguments{ \item{m, n}{numeric scalar specifying dimensions for the result} } \value{ Returns matrix of order 1. Defaults to square if second dimension argument \code{n} not provided. } \seealso{ \code{\link{ones}}, \code{\link{zeros}} } \examples{ eye(3) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/ndims.Rd0000644000176200001440000000133312274524724013677 0ustar liggesusers% $Id: ndims.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{ndims} \alias{ndims} \title{MATLAB ndims function} \description{ Provides number of array dimensions. } \usage{ ndims(A) } \arguments{ \item{A}{object of which to determine the number of dimensions} } \details{ Simply invokes \code{\link[base]{length}(\link{size}(A))}. } \value{ Returns the number of dimensions in the array \code{A}. } \seealso{ \code{\link{size}} } \note{ The number of dimensions is always greater than or equal to 2. Initial implementation returned \code{\link[base]{length}}. } \examples{ ndims(2:9) # 2 ndims(magic(4)) # 2 ndims(array(1:8, c(2,2,2))) # 3 } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{array} matlab/man/sum.Rd0000644000176200001440000000161012274524724013367 0ustar liggesusers% $Id: sum.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{sum} \alias{sum} \alias{sum,array,logical-method} \alias{sum,array,missing-method} \alias{sum,matrix,logical-method} \alias{sum,matrix,missing-method} \alias{sum,vector,logical-method} \alias{sum,vector,missing-method} \alias{sum,ANY,ANY-method} \alias{sum,missing,ANY-method} \title{MATLAB sum function} \description{ Provides sum of elements. } \usage{ sum(x, na.rm=FALSE) } \arguments{ \item{x}{numeric or logical to be summed} \item{na.rm}{logical scalar. If \code{TRUE}, remove missing values} } \details{ This is an S4 generic function. } \value{ Return value depends on argument \code{x}. If vector, returns the same as \code{\link[base]{sum}}. If matrix, returns vector containing the sum of each column. } \examples{ sum(1:9) sum(matrix(1:9, 3, 3)) } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{arith} matlab/man/isprime.Rd0000644000176200001440000000142612274524724014240 0ustar liggesusers% $Id: isprime.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{isprime} \alias{isprime} \title{MATLAB isprime function} \description{ Array elements that are prime numbers. } \usage{ isprime(x) } \arguments{ \item{x}{numeric vector or matrix containing nonnegative integer values} } \value{ Returns an array (or vector) the same size as \code{x} containing logical 1 (\code{true}) for the elements of \code{x} which are prime, and logical 0 (\code{false}) otherwise. } \seealso{ \code{\link{factors}}, \code{\link{primes}} } \examples{ x <- c(2, 3, 0, 6, 10) ans <- isprime(x) ## 1, 1, 0, 0, 0 as.logical(ans) ## true, true, false, false, false } \author{ H. Borchers \email{hwborchers@googlemail.com}, P. Roebuck \email{proebuck@mdanderson.org} } \keyword{arith} matlab/man/pathsep.Rd0000644000176200001440000000120712274524724014231 0ustar liggesusers% $Id: pathsep.Rd 50 2014-02-05 21:15:00Z plroebuck $ \name{pathsep} \alias{pathsep} \title{MATLAB pathsep function} \description{ Returns the character that separates directory names in a list such as the \env{PATH} environment variable. } \usage{ pathsep } \details{ Variable that contains the value of \code{.Platform$path.sep}. } \value{ Returns character representing this platform's path separator. } \note{ Implemented as an R variable rather than a function such that it more closely resembles normal MATLAB usage. } \seealso{ \code{\link{filesep}} } \author{ P. Roebuck \email{proebuck@mdanderson.org} } \keyword{file}