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

In PeteHaitch/DelayedMatrixStats: Functions that Apply to Rows and Columns of 'DelayedMatrix' Objects

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

## S4 method for signature 'DelayedMatrix'
rowQuantiles(
  x,
  rows = NULL,
  cols = NULL,
  probs = seq(from = 0, to = 1, by = 0.25),
  na.rm = FALSE,
  type = 7L,
  force_block_processing = FALSE,
  ...,
  useNames = TRUE,
  drop = TRUE
)

Arguments

x	A NxK DelayedMatrix.
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.
force_block_processing	FALSE (the default) means that a seed-aware, optimised method is used (if available). This can be overridden to use the general block-processing strategy by setting this to TRUE (typically not advised). The block-processing strategy loads one or more (depending on ⁠\link[DelayedArray]{getAutoBlockSize}()⁠) columns (colFoo()) or rows (rowFoo()) into memory as an ordinary base::array.
...	Additional arguments passed to specific methods.
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.

Author(s)

Peter Hickey

See Also

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

• stats::quantile

Examples

# A DelayedMatrix with a 'data.frame' seed
dm_df <- DelayedArray(data.frame(C1 = rep(1L, 5),
                                 C2 = as.integer((0:4) ^ 2),
                                 C3 = seq(-5L, -1L, 1L)))

# colnames, if present, are preserved as rownames on output
colQuantiles(dm_df)

# Input has no rownames so output has no rownames
rowQuantiles(dm_df)

PeteHaitch/DelayedMatrixStats documentation built on May 6, 2024, 10:25 p.m.