R: Calculates the mean for each row (column) of a matrix-like...

colMeans2,xgCMatrix-method {sparseMatrixStats}

R Documentation

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

Description

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

Usage

## S4 method for signature 'xgCMatrix'
colMeans2(x, rows = NULL, cols = NULL, na.rm = FALSE)

## S4 method for signature 'xgCMatrix'
rowMeans2(x, rows = NULL, cols = NULL, na.rm = FALSE)

Arguments

`x`	An NxK matrix-like object.
`rows`	A `vector` indicating the subset of rows (and/or columns) to operate over. If `NULL`, no subsetting is done.
`cols`	A `vector` indicating the subset of rows (and/or columns) to operate over. If `NULL`, no subsetting is done.
`na.rm`	If `TRUE`, `NA`s are excluded first, otherwise not.

Details

The S4 methods for x of type matrix, array, or numeric call matrixStats::rowMeans2 / matrixStats::colMeans2.

Value

Returns a numeric vector of length N (K).

Examples

mat <- matrix(rnorm(15), nrow = 5, ncol = 3)
  mat[2, 1] <- NA
  mat[3, 3] <- Inf
  mat[4, 1] <- 0
  
  print(mat)
  
  rowMeans2(mat)
  colMeans2(mat)

[Package sparseMatrixStats version 1.2.1 Index]