matrixStats (version 1.2.0)

rowMads: Standard deviation estimates for each row (column) in a matrix

Description

Standard deviation estimates for each row (column) in a matrix.

Usage

rowMads(x, rows = NULL, cols = NULL, center = NULL, constant = 1.4826,
  na.rm = FALSE, dim. = dim(x), ..., useNames = TRUE)
colMads(x, rows = NULL, cols = NULL, center = NULL, constant = 1.4826,
  na.rm = FALSE, dim. = dim(x), ..., useNames = TRUE)
rowSds(x, rows = NULL, cols = NULL, na.rm = FALSE, refine = TRUE,
  center = NULL, dim. = dim(x), ..., useNames = TRUE)
colSds(x, rows = NULL, cols = NULL, na.rm = FALSE, refine = TRUE,
  center = NULL, dim. = dim(x), ..., useNames = TRUE)

Value

Returns a numeric

vector of length N (K).

Arguments

x

An NxK matrix or, if dim. is specified, an N * K vector.

rows

A vector indicating subset of rows to operate over. If NULL, no subsetting is done.

cols

A vector indicating subset of columns to operate over. If NULL, no subsetting is done.

center

(optional) The center, defaults to the row means for the SD estimators and row medians for the MAD estimators.

constant

A scale factor. See mad for details.

na.rm

If TRUE, missing values are excluded.

dim.

An integer vector of length two specifying the dimension of x, also when not a matrix. Comment: The reason for this argument being named with a period at the end is purely technical (we get a run-time error if we try to name it dim).

...

Additional arguments passed to rowMeans() and rowSums().

useNames

If TRUE (default), names attributes of the result are set, otherwise not.

refine

If TRUE, `center` is NULL, and x is numeric, then extra effort is used to calculate the average with greater numerical precision, otherwise not.

Author

Henrik Bengtsson

See Also

sd, mad and var. rowIQRs().