R Under development (unstable) (2023-10-04 r85267 ucrt) -- "Unsuffered Consequences"
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> library(matrixTests)
> 
> #--- special argument cases ----------------------------------------------------
> 
> # x and can be vector
> x <- rnorm(9)
> X <- matrix(x, nrow=1)
> stopifnot(all.equal(row_wilcoxon_onesample(x), row_wilcoxon_onesample(X)))
> 
> # x and be numeric data frame
> x <- iris[,1:4]
> X <- as.matrix(x)
> stopifnot(all.equal(row_wilcoxon_onesample(x), row_wilcoxon_onesample(X)))
> 
> # x can have 0 rows
> x <- matrix(0, nrow=0, ncol=4)
> stopifnot(all.equal(nrow(row_wilcoxon_onesample(x)), 0))
> 
> # x can have 0 rows and 0 columns
> x <- matrix(0, nrow=0, ncol=0)
> stopifnot(all.equal(nrow(row_wilcoxon_onesample(x)), 0))
> 
> # alternative values can be partially completed
> x <- rnorm(5)
> stopifnot(all.equal(row_wilcoxon_onesample(x, alternative="greater"), row_wilcoxon_onesample(x, alternative="g")))
> 
> # exact can be NA
> x <- rnorm(5)
> stopifnot(all.equal(row_wilcoxon_onesample(x, exact=NA), row_wilcoxon_onesample(x, exact=TRUE)))
> 
> # TODO: investigate if null can be allowed Inf values.
> 
> 
> #--- recycling -----------------------------------------------------------------
> 
> # null can be specified for each row
> x <- matrix(rnorm(10), nrow=2)
> res1 <- row_wilcoxon_onesample(x, null=2)
> res2 <- row_wilcoxon_onesample(x, null=c(2,2))
> stopifnot(all.equal(res1, res2))
> 
> # alternative can be specified for each row
> x <- matrix(rnorm(10), nrow=2)
> res1 <- row_wilcoxon_onesample(x, alternative="g")
> res2 <- row_wilcoxon_onesample(x, alternative=c("g","g"))
> stopifnot(all.equal(res1, res2))
> 
> # exact can be specified for each row
> x <- matrix(rnorm(10), nrow=2)
> res1 <- row_wilcoxon_onesample(x, exact=TRUE)
> res2 <- row_wilcoxon_onesample(x, exact=c(TRUE, TRUE))
> stopifnot(all.equal(res1, res2))
> 
> # correct can be specified for each row
> x <- matrix(rnorm(10), nrow=2)
> res1 <- row_wilcoxon_onesample(x, exact=FALSE, correct=FALSE)
> res2 <- row_wilcoxon_onesample(x, exact=FALSE, correct=c(FALSE, FALSE))
> stopifnot(all.equal(res1, res2))
> 
> 
> #--- missing values ------------------------------------------------------------
> 
> # missing values in x are removed
> x <- c(NA,NA,rnorm(7),NA)
> res1 <- row_wilcoxon_onesample(x)
> res2 <- row_wilcoxon_onesample(x[!is.na(x)])
> stopifnot(all.equal(res1, res2))
> 
> # no difference between NA and NaN
> x1 <- c(NA,NA,1:7,NA)
> x2 <- c(NaN,NaN,1:7,NaN)
> res1 <- row_wilcoxon_onesample(x1)
> res2 <- row_wilcoxon_onesample(x2)
> stopifnot(all.equal(res1, res2))
> 
> # everything can be NA
> x <- rep(NA_integer_, 4)
> res <- suppressWarnings(row_wilcoxon_onesample(x))
> stopifnot(all.equal(res$obs, 0))
> 
> 
> #--- rownames ------------------------------------------------------------------
> 
> # when not provided - numbers are used instead.
> x <- matrix(rnorm(20), nrow=2)
> res <- row_wilcoxon_onesample(x)
> stopifnot(all.equal(rownames(res), c("1", "2")))
> 
> # when provided - preserved (matrix)
> x <- matrix(rnorm(20), nrow=2, dimnames=list(c("A", "B")))
> res <- row_wilcoxon_onesample(x)
> 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"))))
> res <- row_wilcoxon_onesample(x)
> stopifnot(all.equal(rownames(res), rownames(x)))
> 
> # when duplicated - made unique
> x <- matrix(rnorm(40), nrow=4, dimnames=list(c("A", "A", "B", "B")))
> res <- row_wilcoxon_onesample(x)
> stopifnot(all.equal(rownames(res), make.unique(rownames(x))))
> 
> 
> proc.time()
   user  system elapsed 
   0.17    0.03    0.18