R Under development (unstable) (2023-10-04 r85267 ucrt) -- "Unsuffered Consequences" Copyright (C) 2023 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library(matrixTests) > source("utils/capture.r") > > #--- removing na groups -------------------------------------------------------- > > wrn <- '2 columns dropped due to missing group information' > > # 2 NAs > x <- 1:10 > g <- c(1,1,1,1,NA,NA,2,2,2,2) > res <- capture(row_flignerkilleen(x, g)) > stopifnot(all.equal(res$warning, wrn)) > stopifnot(all.equal(res$value$obs.tot, 8)) > stopifnot(all.equal(res$value$obs.groups, 2)) > > > #--- less than 2 groups -------------------------------------------------------- > > wrn <- 'row_flignerkilleen: 1 of the rows had less than 2 groups with enough observations.\nFirst occurrence at row 1' > nacolumns <- c("df", "statistic", "pvalue") > > # all values in one group > x <- 1:10 > g <- rep("a", 10) > res <- capture(row_flignerkilleen(x, g)) > stopifnot(all.equal(res$warning, wrn)) > stopifnot(all(is.na(res$value[,nacolumns]))) > stopifnot(all.equal(res$value$obs.tot, 10)) > stopifnot(all.equal(res$value$obs.groups, 1)) > > # two groups but one has only NAs > x <- c(1:3, NA, NA, NA) > g <- rep(c("a","b"), each=3) > res <- capture(row_flignerkilleen(x, g)) > stopifnot(all.equal(res$warning, wrn)) > stopifnot(all(is.na(res$value[,nacolumns]))) > stopifnot(all.equal(res$value$obs.tot, 3)) > stopifnot(all.equal(res$value$obs.groups, 1)) > > > #--- one observation per group ------------------------------------------------- > > wrn <- 'row_flignerkilleen: 1 of the rows had one observation per group.\nFirst occurrence at row 1' > nacolumns <- c("df", "statistic", "pvalue") > > # two groups with a single obervation each > x <- 1:2 > g <- 1:2 > res <- capture(row_flignerkilleen(x, g)) > stopifnot(all.equal(res$warning, wrn)) > stopifnot(all(is.na(res$value[,nacolumns]))) > stopifnot(all.equal(res$value$obs.tot, 2)) > stopifnot(all.equal(res$value$obs.groups, 2)) > > # 10 groups 10 observations > x <- 1:10 > g <- 1:10 > res <- capture(row_flignerkilleen(x, g)) > stopifnot(all.equal(res$warning, wrn)) > stopifnot(all(is.na(res$value[,nacolumns]))) > stopifnot(all.equal(res$value$obs.tot, 10)) > stopifnot(all.equal(res$value$obs.groups, 10)) > > # 2 groups 3 observations but one is NA > x <- c(1:2, NA) > g <- c("a", "b", "b") > res <- capture(row_flignerkilleen(x, g)) > stopifnot(all.equal(res$warning, wrn)) > stopifnot(all(is.na(res$value[,nacolumns]))) > stopifnot(all.equal(res$value$obs.tot, 2)) > stopifnot(all.equal(res$value$obs.groups, 2)) > > > #--- all groups have zero variance --------------------------------------------- > > wrn <- 'row_flignerkilleen: 1 of the rows had zero variance in all of the groups.\nFirst occurrence at row 1' > nacolumns <- c("df", "statistic", "pvalue") > > # two groups - all values are constant > x <- c(1,1,1,1) > g <- c("a","a","b","b") > res <- capture(row_flignerkilleen(x, g)) > stopifnot(all.equal(res$warning, wrn)) > stopifnot(all(is.na(res$value[,nacolumns]))) > stopifnot(all.equal(res$value$obs.tot, 4)) > stopifnot(all.equal(res$value$obs.groups, 2)) > > # two groups - constant values within each group > x <- c(3,3,0,0) > g <- c("a","a","b","b") > res <- capture(row_flignerkilleen(x, g)) > stopifnot(all.equal(res$warning, wrn)) > stopifnot(all(is.na(res$value[,nacolumns]))) > stopifnot(all.equal(res$value$obs.tot, 4)) > stopifnot(all.equal(res$value$obs.groups, 2)) > > # two groups - constant values plus NA within each group > x <- c(3,3,NA,0,0,NA) > g <- c("a","a","a","b","b","b") > res <- capture(row_flignerkilleen(x, g)) > stopifnot(all.equal(res$warning, wrn)) > stopifnot(all(is.na(res$value[,nacolumns]))) > stopifnot(all.equal(res$value$obs.tot, 4)) > stopifnot(all.equal(res$value$obs.groups, 2)) > > > proc.time() user system elapsed 0.17 0.03 0.20