rowVars: Calculates the variance for each row (column) of a...

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

Description

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

Usage

rowVars(x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, ...)

## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric'
rowVars(x, rows = NULL,
  cols = NULL, na.rm = FALSE, center = NULL, dim. = dim(x), ...)

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

colVars(x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, ...)

## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric'
colVars(x, rows = NULL,
  cols = NULL, na.rm = FALSE, center = NULL, dim. = dim(x), ...)

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

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, NAs are excluded first, otherwise not.
center	(optional) the center, defaults to the row means.
...	Additional arguments passed to specific methods.
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, or numeric call matrixStats::rowVars / matrixStats::colVars.

Value

Returns a numeric vector of length N (K).

See Also

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

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

• For standard deviation estimates, see rowSds().

• stats::var().

Examples

  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)
  

MatrixGenerics documentation built on Feb. 1, 2021, 2:01 a.m.