rowWeightedMads: Calculates the weighted median absolute deviation for each...

In MatrixGenerics: S4 Generic Summary Statistic Functions that Operate on Matrix-Like Objects

Description

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

Usage

rowWeightedMads(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE,
  constant = 1.4826, center = NULL, ...)

## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric'
rowWeightedMads(x, w = NULL,
  rows = NULL, cols = NULL, na.rm = FALSE, constant = 1.4826,
  center = NULL, ...)

## S4 method for signature 'ANY'
rowWeightedMads(x, w = NULL, rows = NULL, cols = NULL,
  na.rm = FALSE, constant = 1.4826, center = NULL, ...)

colWeightedMads(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE,
  constant = 1.4826, center = NULL, ...)

## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric'
colWeightedMads(x, w = NULL,
  rows = NULL, cols = NULL, na.rm = FALSE, constant = 1.4826,
  center = NULL, ...)

## S4 method for signature 'ANY'
colWeightedMads(x, w = NULL, rows = NULL, cols = NULL,
  na.rm = FALSE, constant = 1.4826, center = NULL, ...)

Arguments

x	An NxK matrix-like object.
w	A numeric vector of length K (N) that specifies by how much each element is weighted.
rows, cols	A vector indicating the subset of rows (and/or columns) to operate over. If NULL, no subsetting is done.
na.rm	If TRUE, NAs are excluded first, otherwise not.
constant	A scale factor. See stats::mad() for details.
center	(optional) the center, defaults to the row means
...	Additional arguments passed to specific methods.

Details

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

Value

Returns a numeric vector of length N (K).

See Also

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

• See also rowMads for the corresponding unweighted function.

Examples

  mat <- matrix(rnorm(15), nrow = 5, ncol = 3)
  mat[2, 1] <- NA
  mat[3, 3] <- Inf
  mat[4, 1] <- 0
  
  print(mat)
  w <- rnorm(n = 5, mean = 3)
  rowWeightedMads(mat, w = w[1:3])
  colWeightedMads(mat, w = w)
  

MatrixGenerics documentation built on Feb. 1, 2021, 2:01 a.m.