colMads: Calculates the median absolute deviation for each row...

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

Description

Calculates the median absolute deviation for each row (column) of a matrix-like object.

Usage

## S4 method for signature 'DelayedMatrix'
colMads(
  x,
  rows = NULL,
  cols = NULL,
  center = NULL,
  constant = 1.4826,
  na.rm = FALSE,
  force_block_processing = FALSE,
  ...
)

## S4 method for signature 'DelayedMatrix'
colSds(
  x,
  rows = NULL,
  cols = NULL,
  na.rm = FALSE,
  center = NULL,
  force_block_processing = FALSE,
  ...
)

## S4 method for signature 'DelayedMatrix'
rowMads(
  x,
  rows = NULL,
  cols = NULL,
  center = NULL,
  constant = 1.4826,
  na.rm = FALSE,
  force_block_processing = FALSE,
  ...
)

## S4 method for signature 'DelayedMatrix'
rowSds(
  x,
  rows = NULL,
  cols = NULL,
  na.rm = FALSE,
  center = NULL,
  force_block_processing = FALSE,
  ...
)

Arguments

x	A NxK DelayedMatrix.
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.
center	(optional) the center, defaults to the row means
constant	A scale factor. See stats::mad() for details.
na.rm	If TRUE, NAs are excluded first, otherwise not.
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.

Details

The S4 methods for x of type matrix, array, or numeric call matrixStats::rowMads / matrixStats::colMads.

Value

Returns a numeric vector of length N (K).

Author(s)

Peter Hickey

Peter Hickey

See Also

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

• For mean estimates, see rowMeans2() and rowMeans().

• For non-robust standard deviation estimates, see rowSds().

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)))
# A DelayedMatrix with a 'DataFrame' seed
dm_DF <- DelayedArray(S4Vectors::DataFrame(C1 = rep(1L, 5),
                                           C2 = as.integer((0:4) ^ 2),
                                           C3 = seq(-5L, -1L, 1L)))

colMads(dm_df)

colSds(dm_df)

rowMads(dm_DF)

rowSds(dm_DF)

DelayedMatrixStats documentation built on Feb. 5, 2021, 2:04 a.m.