Nothing
library("matrixStats")
## Create isFALSE() if running on an old version of R
if (!exists("isFALSE", mode="function")) {
isFALSE <- function(x) is.logical(x) && length(x) == 1L && !is.na(x) && !x
}
rowWeightedMeans_R <- function(x, w, na.rm = FALSE, ..., useNames = NA) {
res <- apply(x, MARGIN = 1L, FUN = weighted.mean, w = w, na.rm = na.rm, ...)
# Keep naming support consistency same as rowWeightedMeans()
idxs <- which(is.na(w) | w != 0)
nw <- length(idxs)
if (na.rm) na.rm <- anyMissing(x)
if ((!is.null(w) && nw == 0L) || isFALSE(na.rm)) {
if (is.na(useNames) || !useNames) names(res) <- NULL
}
else if (isFALSE(useNames)) names(res) <- NULL
res
}
colWeightedMeans_R <- function(x, w, na.rm = FALSE, ..., useNames = NA) {
res <- apply(x, MARGIN = 1L, FUN = weighted.mean, w = w, na.rm = na.rm, ...)
# Keep naming support consistency same as colWeightedMeans()
idxs <- which(is.na(w) | w != 0)
nw <- length(idxs)
if (!is.null(w) && nw == 0L) {
if (is.na(useNames) || !useNames) names(res) <- NULL
}
else if (isFALSE(useNames)) names(res) <- NULL
res
}
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Subsetted tests
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
source("utils/validateIndicesFramework.R")
# To check names attribute
dimnames <- list(letters[1:6], LETTERS[1:6])
for (mode in c("numeric", "integer", "logical")) {
x <- matrix(runif(6 * 6, min = -6, max = 6), nrow = 6, ncol = 6)
w <- runif(6, min = 0, max = 6)
storage.mode(x) <- mode
storage.mode(w) <- if (mode == "logical") "integer" else mode
if (mode == "numeric") w[1] <- Inf
# Test with and without dimnames on x
for (setDimnames in c(TRUE, FALSE)) {
if (setDimnames) dimnames(x) <- dimnames
else dimnames(x) <- NULL
count <- 0L
for (rows in index_cases) {
for (cols in index_cases) {
count <- count + 1L
na.rm <- c(TRUE, FALSE)[count %% 2 + 1]
useNames <- c(if (!matrixStats:::isUseNamesNADefunct()) NA, TRUE, FALSE)
useNames <- useNames[count %% length(useNames) + 1]
validateIndicesTestMatrix_w(x, w, rows, cols,
ftest = rowWeightedMeans, fsure = rowWeightedMeans_R,
na.rm = na.rm, useNames = useNames)
validateIndicesTestMatrix_w(x, w, rows, cols,
fcoltest = colWeightedMeans, fsure = colWeightedMeans_R,
na.rm = na.rm, useNames = useNames)
}
}
}
}
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