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 = 2L, 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
}
set.seed(1)
x <- matrix(rnorm(20), nrow = 5, ncol = 4)
print(x)
# To check names attribute
dimnames <- list(letters[1:5], LETTERS[1:4])
# Non-weighted row averages
x_est0 <- rowMeans(x)
x_est1 <- rowWeightedMeans(x)
print(x_est1)
stopifnot(all.equal(x_est1, x_est0))
x_est2 <- colWeightedMeans(t(x))
stopifnot(all.equal(x_est2, x_est0))
# Check names attribute
dimnames(x) <- dimnames
x_est1 <- rowWeightedMeans(x, useNames = FALSE)
x_est2 <- colWeightedMeans(t(x), useNames = FALSE)
stopifnot(all.equal(x_est1, x_est0))
stopifnot(all.equal(x_est2, x_est0))
x_est0 <- rowMeans(x)
x_est1 <- rowWeightedMeans(x, useNames = TRUE)
x_est2 <- colWeightedMeans(t(x), useNames = TRUE)
stopifnot(all.equal(x_est1, x_est0))
stopifnot(all.equal(x_est2, x_est0))
dimnames(x) <- NULL
# Weighted row averages (uniform weights)
w <- rep(2.5, times = ncol(x))
x_est0 <- rowMeans(x)
x_est1 <- rowWeightedMeans(x, w = w)
print(x_est1)
stopifnot(all.equal(x_est1, x_est0))
x_est2 <- colWeightedMeans(t(x), w = w)
stopifnot(all.equal(x_est2, x_est0))
# Test with and without dimnames on x
for (setDimnames in c(TRUE, FALSE)) {
if (setDimnames) dimnames(x) <- dimnames
else dimnames(x) <- NULL
# Check names attribute
for (useNames in c(if (!matrixStats:::isUseNamesNADefunct()) NA, TRUE, FALSE)) {
x_est0 <- rowWeightedMeans_R(x, w = w, useNames = useNames)
x_est1 <- rowWeightedMeans(x, w = w, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
x_est0 <- colWeightedMeans_R(t(x), w = w, useNames = useNames)
x_est1 <- colWeightedMeans(t(x), w = w, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
}
}
# Weighted row averages (excluding some columns)
w <- c(1, 1, 0, 1)
x_est0 <- rowMeans(x[, (w == 1), drop = FALSE])
x_est1 <- rowWeightedMeans(x, w = w)
print(x_est1)
stopifnot(all.equal(x_est1, x_est0))
x_est2 <- colWeightedMeans(t(x), w = w)
stopifnot(all.equal(x_est2, x_est0))
# Test with and without dimnames on x
for (setDimnames in c(TRUE, FALSE)) {
if (setDimnames) dimnames(x) <- dimnames
else dimnames(x) <- NULL
# Check names attribute
for (useNames in c(if (!matrixStats:::isUseNamesNADefunct()) NA, TRUE, FALSE)) {
x_est0 <- rowWeightedMeans_R(x, w = w, useNames = useNames)
x_est1 <- rowWeightedMeans(x, w = w, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
x_est0 <- colWeightedMeans_R(t(x), w = w, useNames = useNames)
x_est1 <- colWeightedMeans(t(x), w = w, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
}
}
# Weighted row averages (excluding some columns)
w <- c(0, 1, 0, 0)
x_est0 <- rowMeans(x[, (w == 1), drop = FALSE])
x_est1 <- rowWeightedMeans(x, w = w)
stopifnot(all.equal(x_est1, x_est0))
x_est2 <- colWeightedMeans(t(x), w = w)
stopifnot(all.equal(x_est2, x_est0))
# Test with and without dimnames on x
for (setDimnames in c(TRUE, FALSE)) {
if (setDimnames) dimnames(x) <- dimnames
else dimnames(x) <- NULL
# Check names attribute
for (useNames in c(if (!matrixStats:::isUseNamesNADefunct()) NA, TRUE, FALSE)) {
x_est0 <- rowWeightedMeans_R(x, w = w, useNames = useNames)
x_est1 <- rowWeightedMeans(x, w = w, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
x_est0 <- colWeightedMeans_R(t(x), w = w, useNames = useNames)
x_est1 <- colWeightedMeans(t(x), w = w, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
}
}
# Weighted row averages (all zero weights)
w <- c(0, 0, 0, 0)
x_est0 <- rowMeans(x[, (w == 1), drop = FALSE])
x_est1 <- rowWeightedMeans(x, w = w)
stopifnot(all.equal(x_est1, x_est0))
x_est2 <- colWeightedMeans(t(x), w = w)
stopifnot(all.equal(x_est2, x_est0))
# Test with and without dimnames on x
for (setDimnames in c(TRUE, FALSE)) {
if (setDimnames) dimnames(x) <- dimnames
else dimnames(x) <- NULL
# Check names attribute
for (useNames in c(if (!matrixStats:::isUseNamesNADefunct()) NA, TRUE, FALSE)) {
x_est0 <- rowWeightedMeans_R(x, w = w, useNames = useNames)
x_est1 <- rowWeightedMeans(x, w = w, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
x_est0 <- colWeightedMeans_R(t(x), w = w, useNames = useNames)
x_est1 <- colWeightedMeans(t(x), w = w, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
}
}
# Weighted averages by rows and columns
w <- 1:4
x_est1 <- rowWeightedMeans(x, w = w)
print(x_est1)
x_est2 <- colWeightedMeans(t(x), w = w)
stopifnot(all.equal(x_est2, x_est1))
# Test with and without dimnames on x
for (setDimnames in c(TRUE, FALSE)) {
if (setDimnames) dimnames(x) <- dimnames
else dimnames(x) <- NULL
# Check names attribute
for (useNames in c(if (!matrixStats:::isUseNamesNADefunct()) NA, TRUE, FALSE)) {
x_est0 <- rowWeightedMeans_R(x, w = w, useNames = useNames)
x_est1 <- rowWeightedMeans(x, w = w, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
x_est0 <- colWeightedMeans_R(t(x), w = w, useNames = useNames)
x_est1 <- colWeightedMeans(t(x), w = w, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
}
}
x[sample(length(x), size = 0.3 * length(x))] <- NA
print(x)
# Non-weighted row averages with missing values
x_est0 <- rowMeans(x, na.rm = TRUE)
x_est1 <- rowWeightedMeans(x, na.rm = TRUE)
print(x_est1)
stopifnot(all.equal(x_est1, x_est0))
x_est2 <- colWeightedMeans(t(x), na.rm = TRUE)
stopifnot(all.equal(x_est2, x_est0))
# Check names attribute
dimnames(x) <- dimnames
x_est1 <- rowWeightedMeans(x, na.rm = TRUE, useNames = FALSE)
x_est2 <- colWeightedMeans(t(x), na.rm = TRUE, useNames = FALSE)
stopifnot(all.equal(x_est1, x_est0))
stopifnot(all.equal(x_est2, x_est0))
x_est0 <- rowMeans(x, na.rm = TRUE)
x_est1 <- rowWeightedMeans(x, na.rm = TRUE, useNames = TRUE)
x_est2 <- colWeightedMeans(t(x), na.rm = TRUE, useNames = TRUE)
stopifnot(all.equal(x_est1, x_est0))
stopifnot(all.equal(x_est2, x_est0))
dimnames(x) <- NULL
# Weighted row averages with missing values
x_est0 <- apply(x, MARGIN = 1L, FUN = weighted.mean, w = w, na.rm = TRUE)
print(x_est0)
x_est1 <- rowWeightedMeans(x, w = w, na.rm = TRUE)
print(x_est1)
stopifnot(all.equal(x_est1, x_est0))
x_est2 <- colWeightedMeans(t(x), w = w, na.rm = TRUE)
stopifnot(all.equal(x_est2, x_est0))
# Test with and without dimnames on x
for (setDimnames in c(TRUE, FALSE)) {
if (setDimnames) dimnames(x) <- dimnames
else dimnames(x) <- NULL
# Check names attribute
for (useNames in c(if (!matrixStats:::isUseNamesNADefunct()) NA, TRUE, FALSE)) {
x_est0 <- rowWeightedMeans_R(x, w = w, na.rm = TRUE, useNames = useNames)
x_est1 <- rowWeightedMeans(x, w = w, na.rm = TRUE, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
x_est0 <- colWeightedMeans_R(t(x), w = w, na.rm = TRUE, useNames = useNames)
x_est1 <- colWeightedMeans(t(x), w = w, na.rm = TRUE, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
}
}
# Weighted averages by rows and columns
w <- 1:4
x_est1 <- rowWeightedMeans(x, w = w, na.rm = TRUE)
x_est2 <- colWeightedMeans(t(x), w = w, na.rm = TRUE)
stopifnot(all.equal(x_est2, x_est1))
# Test with and without dimnames on x
for (setDimnames in c(TRUE, FALSE)) {
if (setDimnames) dimnames(x) <- dimnames
else dimnames(x) <- NULL
# Check names attribute
for (useNames in c(if (!matrixStats:::isUseNamesNADefunct()) NA, TRUE, FALSE)) {
x_est0 <- rowWeightedMeans_R(x, w = w, na.rm = TRUE, useNames = useNames)
x_est1 <- rowWeightedMeans(x, w = w, na.rm = TRUE, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
x_est0 <- colWeightedMeans_R(t(x), w = w, na.rm = TRUE, useNames = useNames)
x_est1 <- colWeightedMeans(t(x), w = w, na.rm = TRUE, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
}
}
# w contains missing value
w[1] <- NA_integer_
x_est1 <- rowWeightedMeans(x, w = w, na.rm = TRUE)
x_est2 <- colWeightedMeans(t(x), w = w, na.rm = TRUE)
stopifnot(all.equal(x_est2, x_est1))
# Test with and without dimnames on x
for (setDimnames in c(TRUE, FALSE)) {
if (setDimnames) dimnames(x) <- dimnames
else dimnames(x) <- NULL
# Check names attribute
for (useNames in c(if (!matrixStats:::isUseNamesNADefunct()) NA, TRUE, FALSE)) {
x_est0 <- rowWeightedMeans_R(x, w = w, na.rm = TRUE, useNames = useNames)
x_est1 <- rowWeightedMeans(x, w = w, na.rm = TRUE, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
x_est0 <- colWeightedMeans_R(t(x), w = w, na.rm = TRUE, useNames = useNames)
x_est1 <- colWeightedMeans(t(x), w = w, na.rm = TRUE, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
}
}
x_est1 <- rowWeightedMeans(x, w = w, na.rm = FALSE)
x_est2 <- colWeightedMeans(t(x), w = w, na.rm = FALSE)
stopifnot(all.equal(x_est2, x_est1))
# Test with and without dimnames on x
for (setDimnames in c(TRUE, FALSE)) {
if (setDimnames) dimnames(x) <- dimnames
else dimnames(x) <- NULL
# Check names attribute
for (useNames in c(if (!matrixStats:::isUseNamesNADefunct()) NA, TRUE, FALSE)) {
x_est0 <- rowWeightedMeans_R(x, w = w, na.rm = FALSE, useNames = useNames)
x_est1 <- rowWeightedMeans(x, w = w, na.rm = FALSE, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
x_est0 <- colWeightedMeans_R(t(x), w = w, na.rm = FALSE, useNames = useNames)
x_est1 <- colWeightedMeans(t(x), w = w, na.rm = FALSE, useNames = useNames)
stopifnot(all.equal(x_est1, x_est0))
}
}
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