| colVars,xgCMatrix-method {sparseMatrixStats} | R Documentation |
Calculates the variance for each row (column) of a matrix-like object.
## S4 method for signature 'xgCMatrix' colVars(x, rows = NULL, cols = NULL, na.rm = FALSE) ## S4 method for signature 'xgCMatrix' rowVars(x, rows = NULL, cols = NULL, na.rm = FALSE)
x |
An NxK matrix-like object. |
rows |
A |
cols |
A |
na.rm |
The S4 methods for x of type matrix,
array, or numeric call
matrixStats::rowVars
/ matrixStats::colVars.
Returns a numeric vector of length N (K).
matrixStats::rowVars() and
matrixStats::colVars() which are used
when the input is a matrix or numeric vector.
For standard deviation estimates, see rowSds().
stats::var().
mat <- matrix(rnorm(15), nrow = 5, ncol = 3) mat[2, 1] <- NA mat[3, 3] <- Inf mat[4, 1] <- 0 print(mat) rowVars(mat) colVars(mat)