colOrderStats,dgCMatrix-method {sparseMatrixStats} | R Documentation

## Calculates an order statistic for each row (column) of a matrix-like object

### Description

Calculates an order statistic for each row (column) of a matrix-like object.

### Usage

    ## S4 method for signature 'dgCMatrix'
    colOrderStats(x, rows = NULL, cols = NULL, which = 1, na.rm = FALSE)

    ## S4 method for signature 'dgCMatrix'
    rowOrderStats(x, rows = NULL, cols = NULL, which = 1, 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.
`which` | An integer index in [1,K] ([1,N]) indicating which order statistic to be returned
`na.rm` | If TRUE, NAs are excluded first, otherwise not.

### Details

The S4 methods for `x` of type `matrix`, `array`, or `numeric` call `matrixStats::rowOrderStats` / `matrixStats::colOrderStats`.

### Value

Returns a `numeric` `vector` of length N (K).

### See Also

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

### Examples

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

        print(mat)

        rowOrderStats(mat, which = 1)
        colOrderStats(mat, which = 3)

[Package sparseMatrixStats version 1.2.1 Index]