rowMadDiffs: Calculates the mean absolute deviation of the difference...

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

Description

Calculates the mean absolute deviation of the difference between each element of a row (column) of a matrix-like object.

Usage

rowMadDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L,
  trim = 0, ...)

## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric'
rowMadDiffs(x, rows = NULL,
  cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, ...)

## S4 method for signature 'ANY'
rowMadDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE,
  diff = 1L, trim = 0, ...)

colMadDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L,
  trim = 0, ...)

## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric'
colMadDiffs(x, rows = NULL,
  cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, ...)

## S4 method for signature 'ANY'
colMadDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE,
  diff = 1L, trim = 0, ...)

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.
na.rm	If TRUE, NAs are excluded first, otherwise not.
diff	An integer specifying the order of difference.
trim	A double in [0,1/2] specifying the fraction of observations to be trimmed from each end of (sorted) x before estimation.
...	Additional arguments passed to specific methods.

Details

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

Value

Returns a numeric vector of length N (K).

See Also

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

Examples

  mat <- matrix(rnorm(15), nrow = 5, ncol = 3)
  mat[2, 1] <- NA
  mat[3, 3] <- Inf
  mat[4, 1] <- 0
  
  print(mat)
  
  rowMadDiffs(mat)
  colMadDiffs(mat)
  

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