colQuantiles-xgCMatrix-method: Calculates quantiles for each row (column) of a matrix-like...

In const-ae/sparseMatrixStats: Summary Statistics for Rows and Columns of Sparse Matrices

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 = TRUE,
  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,
  type = 7L,
  useNames = TRUE,
  drop = TRUE
)

Arguments

x	An NxK matrix-like object.
rows, 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, missing values (NA or NaN) are omitted from the calculations.
type	An integer specifying the type of estimator. See stats::quantile(). for more details.
useNames	If TRUE (default), names attributes of result are set. Else if FALSE, no naming support is done.
drop	If TRUE a vector is returned if J == 1.

Details

The S4 methods for x of type matrix, array, table, 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)

const-ae/sparseMatrixStats documentation built on June 15, 2024, 9:36 a.m.