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)
> 
> #--- special argument cases ----------------------------------------------------
> 
> # x can be a vector
> x <- rnorm(9)
> X <- matrix(x, nrow=1)
> g <- rep(letters[1:3], each=3)
> stopifnot(all.equal(row_levene(x, g), row_levene(X, g)))
> 
> # x can be numeric data.frame
> x <- iris[,1:4]
> X <- as.matrix(x)
> g <- c("a","a","a","b")
> stopifnot(all.equal(row_levene(x, g), row_levene(X, g)))
> 
> # x can have 0 rows
> x <- matrix(0, nrow=0, ncol=4)
> g <- c("a","a","b","b")
> stopifnot(all.equal(nrow(row_levene(x, g)), 0))
> 
> # x can have 0 rows and 0 columns
> x <- matrix(0, nrow=0, ncol=0)
> g <- character()
> stopifnot(all.equal(nrow(row_levene(x, g)), 0))
> 
> # groups can be infinities
> x <- rnorm(5)
> g1 <- c(Inf, Inf, Inf, -Inf, -Inf)
> g2 <- c("a","a","a","b","b")
> stopifnot(all.equal(row_levene(x, g1), row_levene(x, g2)))
> 
> 
> #--- missing values ------------------------------------------------------------
> 
> # missing values in x are removed
> x <- c(NA,NA,rnorm(7),NA)
> g <- rep(letters[1:2], each=5)
> res1 <- row_levene(x, g)
> res2 <- row_levene(x[!is.na(x)], g[!is.na(x)])
> stopifnot(all.equal(res1, res2))
> 
> # missing values in x for whole group are removed correctly
> x <- c(rep(NA, 5), rnorm(10))
> g <- rep(letters[1:3], each=5)
> res1 <- row_levene(x, g)
> res2 <- row_levene(x[!is.na(x)], g[!is.na(x)])
> stopifnot(all.equal(res1, res2))
> 
> # no difference between NA and NaN in x
> x1 <- c(NA,NA,1:7,NA)
> x2 <- c(NaN,NaN,1:7,NaN)
> g <- rep(letters[1:2], each=5)
> res1 <- row_levene(x1, g)
> res2 <- row_levene(x2, g)
> stopifnot(all.equal(res1, res2))
> 
> # missing values in g are removed
> x <- rnorm(10)
> g <- c(NA, NA, rep(letters[1:2], c(3,4)), NA)
> res1 <- suppressWarnings(row_levene(x, g))
> res2 <- row_levene(x[!is.na(g)], g[!is.na(g)])
> stopifnot(all.equal(res1, res2))
> 
> # no difference between NA and NaN in g
> x <- rnorm(10)
> g1 <- c(NA, NA, rep(1:2, c(3,4)), NA)
> g2 <- c(NaN, NaN, rep(1:2, c(3,4)), NaN)
> res1 <- suppressWarnings(row_levene(x, g1))
> res2 <- suppressWarnings(row_levene(x, g2))
> stopifnot(all.equal(res1, res2))
> 
> # correct synergy between NAs in x and NAs in g
> x <- c(NA, NA, rnorm(13))
> g <- c(NA, "a", NA, rep(letters[2:5], each=3))
> res1 <- suppressWarnings(row_levene(x, g))
> res2 <- row_levene(x[!is.na(x) & !is.na(g)], g[!is.na(x) & !is.na(g)])
> stopifnot(all.equal(res1, res2))
> 
> # everything can be NA
> x <- rep(NA_integer_, 4)
> g <- rep(NA, 4)
> res <- suppressWarnings(row_levene(x, g))
> stopifnot(all.equal(res$obs.tot, 0))
> stopifnot(all.equal(res$obs.groups, 0))
> 
> 
> #--- rownames ------------------------------------------------------------------
> 
> # when not provided - numbers are used instead.
> x <- matrix(rnorm(20), nrow=2)
> g <- rep(letters[1:2], each=5)
> res <- row_levene(x, g)
> stopifnot(all.equal(rownames(res), c("1", "2")))
> 
> # when provided - preserved (matrix)
> x <- matrix(rnorm(20), nrow=2, dimnames=list(c("A", "B")))
> g <- rep(letters[1:2], each=5)
> res <- row_levene(x, g)
> 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"))))
> g <- rep(letters[1:2], each=5)
> res <- row_levene(x, g)
> stopifnot(all.equal(rownames(res), rownames(x)))
> 
> # when duplicated - made unique
> x <- matrix(rnorm(40), nrow=4, dimnames=list(c("A", "A", "B", "B")))
> g <- rep(letters[1:2], each=5)
> res <- row_levene(x, g)
> stopifnot(all.equal(rownames(res), make.unique(rownames(x))))
> 
> 
> proc.time()
   user  system elapsed 
   0.15    0.04    0.18