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)