tests/cor_pearson_errors.r

In karoliskoncevicius/matrixTests: Fast Statistical Hypothesis Tests on Rows and Columns of Matrices

library(matrixTests)
source("utils/capture.r")

#--- x argument errors ---------------------------------------------------------

# cannot be missing
err <- 'argument "x" is missing, with no default'
res <- capture(row_cor_pearson())
stopifnot(all.equal(res$error, err))

# cannot be NULL
err <- '"x" must be a numeric matrix or vector'
res <- capture(row_cor_pearson(NULL, 1:2))
stopifnot(all.equal(res$error, err))

# cannot be character
err <- '"x" must be a numeric matrix or vector'
res <- capture(row_cor_pearson(c("1", "2"), 1:2))
stopifnot(all.equal(res$error, err))

# cannot be logical
err <- '"x" must be a numeric matrix or vector'
res <- capture(row_cor_pearson(c(TRUE, FALSE), 1:2))
stopifnot(all.equal(res$error, err))

# cannot be complex
err <- '"x" must be a numeric matrix or vector'
res <- capture(row_cor_pearson(complex(c(1,2), c(3,4)), 1:2))
stopifnot(all.equal(res$error, err))

# cannot be data.frame containing some non numeric data
err <- '"x" must be a numeric matrix or vector'
res <- capture(row_cor_pearson(iris, 1:2))
stopifnot(all.equal(res$error, err))

# cannot be a list
err <- '"x" must be a numeric matrix or vector'
res <- capture(row_cor_pearson(as.list(c(1:5)), 1:2))
stopifnot(all.equal(res$error, err))

# cannot be in a list
err <- '"x" must be a numeric matrix or vector'
res <- capture(row_cor_pearson(list(1:5), 1:2))
stopifnot(all.equal(res$error, err))


#--- y argument errors ---------------------------------------------------------

# cannot be missing
err <- 'argument "y" is missing, with no default'
res <- capture(row_cor_pearson(1))
stopifnot(all.equal(res$error, err))

# cannot be NULL
err <- '"y" must be a numeric matrix or vector'
res <- capture(row_cor_pearson(1, NULL))
stopifnot(all.equal(res$error, err))

# cannot be character
err <- '"y" must be a numeric matrix or vector'
res <- capture(row_cor_pearson(1:2, c("1","2")))
stopifnot(all.equal(res$error, err))

# cannot be logical
err <- '"y" must be a numeric matrix or vector'
res <- capture(row_cor_pearson(1:2, c(TRUE, FALSE)))
stopifnot(all.equal(res$error, err))

# cannot be complex
err <- '"y" must be a numeric matrix or vector'
res <- capture(row_cor_pearson(1:2, complex(c(1,2), c(3,4))))
stopifnot(all.equal(res$error, err))

# cannot be data.frame containing some non numeric data
err <- '"y" must be a numeric matrix or vector'
res <- capture(row_cor_pearson(1:2, iris))
stopifnot(all.equal(res$error, err))

# cannot be a list
err <- '"y" must be a numeric matrix or vector'
res <- capture(row_cor_pearson(1:2, as.list(c(1:5))))
stopifnot(all.equal(res$error, err))

# cannot be in a list
err <- '"y" must be a numeric matrix or vector'
res <- capture(row_cor_pearson(1:2, list(1:5)))
stopifnot(all.equal(res$error, err))


#--- alternative argument errors -----------------------------------------------

err <- '"alternative" must be a character vector with length 1 or nrow(x)'

# cannot be NA
res <- capture(row_cor_pearson(x=1:3, y=2:4, alternative=NA))
stopifnot(all.equal(res$error, err))

# cannot be numeric
res <- capture(row_cor_pearson(x=1:3, y=2:4, alternative=1))
stopifnot(all.equal(res$error, err))

# cannot be complex
res <- capture(row_cor_pearson(x=1:3, y=2:4, alternative=complex(1)))
stopifnot(all.equal(res$error, err))

# cannot be in a list
res <- capture(row_cor_pearson(x=1:3, y=2:4, alternative=list("less")))
stopifnot(all.equal(res$error, err))

# cannot be a data frame
res <- capture(row_cor_pearson(x=1:3, y=2:4, alternative=data.frame("less")))
stopifnot(all.equal(res$error, err))


err <- 'all "alternative" values must be in: two.sided, less, greater'

# must be in correct set
res <- capture(row_cor_pearson(x=1:3, y=2:4, alternative="ga"))
stopifnot(all.equal(res$error, err))

# error produced even when some are correct
res <- capture(row_cor_pearson(x=matrix(1:10, nrow=2), y=matrix(1:10, nrow=2), alternative=c("g","c")))
stopifnot(all.equal(res$error, err))


#--- conf.level argument errors ------------------------------------------------

err <- '"conf.level" must be a numeric vector with length 1 or nrow(x)'

# cannot be character
res <- capture(row_cor_pearson(x=1:3, y=2:4, conf.level="0.95"))
stopifnot(all.equal(res$error, err))

# cannot be complex
res <- capture(row_cor_pearson(x=1:3, y=2:4, conf.level=complex(0.95)))
stopifnot(all.equal(res$error, err))

# cannot be in a list
res <- capture(row_cor_pearson(x=1:3, y=2:4, conf.level=list(0.95)))
stopifnot(all.equal(res$error, err))

# cannot be a data frame
res <- capture(row_cor_pearson(x=1:3, y=2:4, conf.level=data.frame(0.95)))
stopifnot(all.equal(res$error, err))


err <- 'all "conf.level" values must be between: 0 and 1'

# cannot be below 0
res <- capture(row_cor_pearson(x=1:3, y=2:4, conf.level=-0.0001))
stopifnot(all.equal(res$error, err))

# cannot be above 1
res <- capture(row_cor_pearson(x=1:3, y=2:4, conf.level=1.0001))
stopifnot(all.equal(res$error, err))


#--- dimension mismatch errors -------------------------------------------------

# y number of rows must match x number of rows
err <- '"x" and "y" must have the same number of rows'
x <- matrix(1:10, nrow=2)
y <- matrix(1:10, nrow=5)
res <- capture(row_cor_pearson(x, y))
stopifnot(all.equal(res$error, err))

# y number of columns must match x number of columns
err <- '"x" and "y" must have the same number of columns'
x <- matrix(1:10, nrow=2)
y <- matrix(1:20, nrow=2)
res <- capture(row_cor_pearson(x, y))
stopifnot(all.equal(res$error, err))

# alternative must match x number of rows
err <- '"alternative" must be a character vector with length 1 or nrow(x)'
x <- matrix(1:12, nrow=4)
y <- matrix(1:12, nrow=4)
res <- capture(row_cor_pearson(x, y, alternative=c("g","l")))
stopifnot(all.equal(res$error, err))

# conf.level must match x number of rows
err <- '"conf.level" must be a numeric vector with length 1 or nrow(x)'
x <- matrix(1:12, nrow=4)
y <- matrix(1:12, nrow=4)
res <- capture(row_cor_pearson(x, y, conf.level=c(0.95, 0.99)))
stopifnot(all.equal(res$error, err))