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Type 'q()' to quit R. > library(matrixTests) > > #--- special argument cases ---------------------------------------------------- > > # x and y can be vectors > x <- rnorm(9) > y <- rnorm(9) > X <- matrix(x, nrow=1) > Y <- matrix(y, nrow=1) > stopifnot(all.equal(row_t_equalvar(x, y), row_t_equalvar(X, Y))) > > # x and y can be numeric data frames > x <- iris[1:50,1:4] > y <- iris[51:100,1:4] > X <- as.matrix(x) > Y <- as.matrix(y) > stopifnot(all.equal(row_t_equalvar(x, y), row_t_equalvar(X, Y))) > > # x and y can have 0 rows > x <- matrix(0, nrow=0, ncol=4) > y <- matrix(0, nrow=0, ncol=4) > stopifnot(all.equal(nrow(row_t_equalvar(x, y)), 0)) > > # x and y can have 0 rows and 0 columns > x <- matrix(0, nrow=0, ncol=0) > y <- matrix(0, nrow=0, ncol=0) > stopifnot(all.equal(nrow(row_t_equalvar(x, y)), 0)) > > # alternative values can be partially completed > x <- rnorm(5) > y <- rnorm(5) > stopifnot(all.equal(row_t_equalvar(x, y, alternative="greater"), row_t_equalvar(x, y, alternative="g"))) > > # null can be +Inf > x <- rnorm(5) > y <- rnorm(5) > res <- row_t_equalvar(x, y, null=Inf) > stopifnot(all.equal(res$pvalue, 0)) > stopifnot(all.equal(res$statistic, -Inf)) > > # null can be -Inf > x <- rnorm(5) > y <- rnorm(5) > res <- row_t_equalvar(x, y, null=-Inf) > stopifnot(all.equal(res$pvalue, 0)) > stopifnot(all.equal(res$statistic, Inf)) > > # conf.level can be 0 > x <- rnorm(5) > y <- rnorm(5) > res <- row_t_equalvar(x, y, conf.level=0) > stopifnot(all.equal(res$conf.low, res$conf.high)) > > # conf.level can be 1 > x <- rnorm(5) > y <- rnorm(5) > res <- row_t_equalvar(x, y, conf.level=1) > stopifnot(all.equal(res$conf.low, -Inf)) > stopifnot(all.equal(res$conf.high, Inf)) > > # conf.level can be NA > x <- rnorm(5) > y <- rnorm(5) > res <- row_t_equalvar(x, y, conf.level=NA) > stopifnot(all.equal(res$conf.level, NA_real_)) > stopifnot(all.equal(res$conf.low, NA_real_)) > stopifnot(all.equal(res$conf.high, NA_real_)) > > > #--- recycling ----------------------------------------------------------------- > > # y can be a vector when x is a matrix > x <- matrix(rnorm(10), nrow=2) > y <- 1:5 > res1 <- row_t_equalvar(x, y) > res2 <- row_t_equalvar(x, rbind(y,y)) > stopifnot(all.equal(res1, res2)) > > # null can be specified for each row > x <- matrix(rnorm(10), nrow=2) > y <- matrix(rnorm(10), nrow=2) > res1 <- row_t_equalvar(x, y, null=2) > res2 <- row_t_equalvar(x, y, null=c(2,2)) > stopifnot(all.equal(res1, res2)) > > # alternative can be specified for each row > x <- matrix(rnorm(10), nrow=2) > y <- matrix(rnorm(10), nrow=2) > res1 <- row_t_equalvar(x, y, alternative="g") > res2 <- row_t_equalvar(x, y, alternative=c("g","g")) > stopifnot(all.equal(res1, res2)) > > # conf.level can be specified for each row > x <- matrix(rnorm(10), nrow=2) > y <- matrix(rnorm(10), nrow=2) > res1 <- row_t_equalvar(x, y, conf.level=0.98) > res2 <- row_t_equalvar(x, y, conf.level=c(0.98,0.98)) > stopifnot(all.equal(res1, res2)) > > > #--- missing values ------------------------------------------------------------ > > # missing values in x are removed > x <- c(NA,NA,rnorm(7),NA) > y <- rnorm(10) > res1 <- row_t_equalvar(x, y) > res2 <- row_t_equalvar(x[!is.na(x)], y) > stopifnot(all.equal(res1, res2)) > > # missing values in y are removed > x <- rnorm(10) > y <- c(NA,NA,rnorm(7),NA) > res1 <- row_t_equalvar(x, y) > res2 <- row_t_equalvar(x, y[!is.na(y)]) > stopifnot(all.equal(res1, res2)) > > # missing values from both x and y are removed > x <- c(NA,NA,rnorm(7),NA) > y <- c(NA,rnorm(7),NA,NA) > res1 <- row_t_equalvar(x, y) > res2 <- row_t_equalvar(x[!is.na(x)], y[!is.na(y)]) > stopifnot(all.equal(res1, res2)) > > # no difference between NA and NaN > x1 <- c(NA,NA,1,2,1:5,NA) > x2 <- c(NaN,NaN,1,2,1:5,NaN) > y1 <- c(NA,NA,8:2,NA) > y2 <- c(NaN,NaN,8:2,NaN) > res1 <- row_t_equalvar(x1, y1) > res2 <- row_t_equalvar(x2, y2) > stopifnot(all.equal(res1, res2)) > > # everything can be NA > x <- rep(NA_integer_, 4) > y <- rep(NA_integer_, 4) > res <- suppressWarnings(row_t_equalvar(x, y)) > stopifnot(all.equal(res$obs.tot, 0)) > > > #--- rownames ------------------------------------------------------------------ > > # when not provided - numbers are used instead. > x <- matrix(rnorm(20), nrow=2) > y <- matrix(rnorm(20), nrow=2) > res <- row_t_equalvar(x, y) > stopifnot(all.equal(rownames(res), c("1", "2"))) > > # when not provided - not taken from y > x <- matrix(rnorm(20), nrow=2) > y <- matrix(rnorm(20), nrow=2, dimnames=list(c("A", "B"))) > res <- row_t_equalvar(x, y) > stopifnot(all.equal(rownames(res), c("1","2"))) > > # when provided - preserved (matrix) > x <- matrix(rnorm(20), nrow=2, dimnames=list(c("A", "B"))) > y <- matrix(rnorm(20), nrow=2) > res <- row_t_equalvar(x, y) > stopifnot(all.equal(rownames(res), rownames(x))) > > # when provided - preserved (data.frame) > x <- data.frame(matrix(rnorm(20), nrow=2, dimnames=list(c("A", "B")))) > y <- matrix(rnorm(20), nrow=2) > res <- row_t_equalvar(x, y) > stopifnot(all.equal(rownames(res), rownames(x))) > > # when duplicated - made unique > x <- matrix(rnorm(20), nrow=4, dimnames=list(c("A", "A", "B", "B"))) > y <- matrix(rnorm(20), nrow=4) > res <- row_t_equalvar(x, y) > stopifnot(all.equal(rownames(res), make.unique(rownames(x)))) > > > proc.time() user system elapsed 0.20 0.03 0.21