colTabulates,xgCMatrix-method {sparseMatrixStats} | R Documentation

## Tabulates the values in a matrix-like object by row (column)

### Description

Tabulates the values in a matrix-like object by row (column).

### Usage

    ## S4 method for signature 'xgCMatrix'
    colTabulates(x, rows = NULL, cols = NULL, values = NULL, useNames = NA)

    ## S4 method for signature 'xgCMatrix'
    rowTabulates(x, rows = NULL, cols = NULL, values = NULL, 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.
`values` | the values to search for.
`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::rowTabulates` / `matrixStats::colTabulates`.

### 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::rowTabulates()` and `matrixStats::colTabulates()` which are used when the input is a `matrix` or `numeric` vector.

- `base::table()`

### Examples

    mat <- matrix(rpois(15, lambda = 3), nrow = 5, ncol = 3)
      mat[2, 1] <- NA_integer_
      mat[3, 3] <- 0L
      mat[4, 1] <- 0L

      print(mat)

      rowTabulates(mat)
      colTabulates(mat)

      rowTabulates(mat, values = 0)
      colTabulates(mat, values = 0)

[Package sparseMatrixStats version 1.6.0 Index]