colQuantiles,dgCMatrix-method {sparseMatrixStats} | R Documentation

## Calculates quantiles for each row (column) of a matrix-like object

### Description

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

### Usage

    ## S4 method for signature 'dgCMatrix'
    colQuantiles(
      x,
      rows = NULL,
      cols = NULL,
      probs = seq(from = 0, to = 1, by = 0.25),
      na.rm = FALSE,
      drop = TRUE
    )

    ## S4 method for signature 'dgCMatrix'
    rowQuantiles(
      x,
      rows = NULL,
      cols = NULL,
      probs = seq(from = 0, to = 1, by = 0.25),
      na.rm = FALSE,
      drop = TRUE
    )

### 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.
`probs` | A numeric vector of J probabilities in [0, 1].
`na.rm` | If `TRUE`, `NA`s are excluded first, otherwise not.
`drop` | If `TRUE` a vector is returned if `J == 1`. Note, that this is not a generic argument and not all implementation of this function have to provide it.

### Details

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

### Value

a `numeric` `NxJ` (`KxJ`) `matrix`, where N (K) is the number of rows (columns) for which the J values are calculated.

### See Also

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

- stats::quantile

### Examples

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

      print(mat)

      rowQuantiles(mat)
      colQuantiles(mat)

[Package sparseMatrixStats version 1.0.5 Index]