colWeightedVars,dgCMatrix-method {sparseMatrixStats} | R Documentation |
Calculates the weighted variance for each row (column) of a matrix-like object.
## S4 method for signature 'dgCMatrix' colWeightedVars(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE) ## S4 method for signature 'dgCMatrix' rowWeightedVars(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE)
x |
An NxK matrix-like object. |
w |
A |
rows |
A |
cols |
A |
na.rm |
The S4 methods for x
of type matrix
,
array
, or numeric
call
matrixStats::rowWeightedVars
/ matrixStats::colWeightedVars
.
Returns a numeric
vector
of length N (K).
matrixStats::rowWeightedVars()
and
matrixStats::colWeightedVars()
which are used when the input is a matrix
or numeric
vector.
See also rowVars 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) rowWeightedVars(mat, w = w[1:3]) colWeightedVars(mat, w = w)