colRanges,dgCMatrix-method {sparseMatrixStats} | R Documentation

## Calculates the minimum and maximum for each row (column) of a matrix-like object

### Description

Calculates the minimum and maximum for each row (column) of a matrix-like object.

### Usage

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

    ## S4 method for signature 'dgCMatrix'
    rowRanges(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::rowRanges` / `matrixStats::colRanges`.

### Value

a `numeric` `Nx2` (`Kx2`) `matrix`, where N (K) is the number of rows (columns) for which the ranges are calculated.

### See Also

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

- For max estimates, see `rowMaxs()`.

- For min estimates, see `rowMins()`.

- `base::range()`.

### Examples

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

      print(mat)

      rowRanges(mat)
      colRanges(mat)

[Package sparseMatrixStats version 1.0.5 Index]