| rowWeightedMeans {MatrixGenerics} | R Documentation |
Calculates the weighted mean for each row (column) of a matrix-like object.
rowWeightedMeans(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ..., useNames = NA) ## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric' rowWeightedMeans(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ..., useNames = NA) ## S4 method for signature 'ANY' rowWeightedMeans(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ..., useNames = NA) colWeightedMeans(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ..., useNames = NA) ## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric' colWeightedMeans(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ..., useNames = NA) ## S4 method for signature 'ANY' colWeightedMeans(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ..., useNames = NA)
x |
An NxK matrix-like object. |
w |
A |
rows, cols |
A |
na.rm |
|
... |
Additional arguments passed to specific methods. |
useNames |
If |
The S4 methods for x of type matrix,
array, or numeric call
matrixStats::rowWeightedMeans
/ matrixStats::colWeightedMeans.
Returns a numeric vector of length N (K).
matrixStats::rowWeightedMeans() and
matrixStats::colWeightedMeans()
which are used when the input is a matrix or numeric vector.
See also rowMeans2 for the corresponding unweighted function.
mat <- matrix(rnorm(15), nrow = 5, ncol = 3) mat[2, 1] <- NA mat[3, 3] <- Inf mat[4, 1] <- 0 print(mat) w <- rnorm(n = 5, mean = 3) rowWeightedMeans(mat, w = w[1:3]) colWeightedMeans(mat, w = w)