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, useNames = NA)

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

### 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.
`useNames` | If `NA`, the default behavior of the function about naming support is remained. If `FALSE`, no naming support is done. Else if `TRUE`, names attributes of result are set.

### 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).

### See Also

- `matrixStats::rowMeans2()` and `matrixStats::colMeans2()` which are used when the input is a `matrix` or `numeric` vector.

- See also `rowMeans()` for the corresponding function in base R.

- For variance estimates, see `rowVars()`.

- See also the base R version `base::rowMeans()`.

### 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 1.6.0 Index]