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