rowSds: Calculates the standard deviation for each row (column) of a...

In Bioconductor/MatrixGenerics: S4 Generic Summary Statistic Functions that Operate on Matrix-Like Objects

Calculates the standard deviation for each row (column) of a matrix-like object

Description

Calculates the standard deviation for each row (column) of a matrix-like object.

Usage

rowSds(x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, ...,
  useNames = TRUE)

## 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), ...,
  useNames = TRUE)

## S4 method for signature 'ANY'
rowSds(x, rows = NULL, cols = NULL, na.rm = FALSE,
  center = NULL, ..., useNames = TRUE)

colSds(x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, ...,
  useNames = TRUE)

## 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), ...,
  useNames = TRUE)

## S4 method for signature 'ANY'
colSds(x, rows = NULL, cols = NULL, na.rm = FALSE,
  center = NULL, ..., useNames = TRUE)

Arguments

x	An NxK matrix-like object.
rows, cols	A vector indicating the subset of rows (and/or columns) to operate over. If NULL, no subsetting is done.
na.rm	If TRUE, missing values (NA or NaN) are omitted from the calculations.
center	(optional) the center, defaults to the row means
...	Additional arguments passed to specific methods.
useNames	If TRUE (default), names attributes of result are set. Else if FALSE, no naming support is done.
dim.	An integer vector of length two specifying the dimension of x, essential when x is a numeric vector. Note, that this is not a generic argument and not all methods need provide it.

Details

The S4 methods for x of type matrix, array, table, or numeric call matrixStats::rowSds / matrixStats::colSds.

Value

Returns a numeric vector of length N (K).

See Also

• matrixStats::rowSds() and matrixStats::colSds() which are used when the input is a matrix or numeric vector.

• For mean estimates, see rowMeans2() and rowMeans().

• For variance estimates, see rowVars().

Examples

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)

Bioconductor/MatrixGenerics documentation built on Nov. 2, 2024, 4:13 a.m.