colQuantiles,xgCMatrix-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 'xgCMatrix'
colQuantiles(
  x,
  rows = NULL,
  cols = NULL,
  probs = seq(from = 0, to = 1, by = 0.25),
  na.rm = FALSE,
  type = 7L,
  useNames = NA,
  drop = TRUE
)

## S4 method for signature 'xgCMatrix'
rowQuantiles(
  x,
  rows = NULL,
  cols = NULL,
  probs = seq(from = 0, to = 1, by = 0.25),
  na.rm = FALSE,
  useNames = NA,
  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, NAs are excluded first, otherwise not.

type

An integer specifying the type of estimator. See stats::quantile(). for more details.

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.

drop

If TRUE a vector is returned if J == 1.

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

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 1.4.2 Index]