rowWeightedMedians: Calculates the weighted median for each row (column) of a...

rowWeightedMediansR Documentation

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

Description

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

Usage

rowWeightedMedians(x, w = NULL, rows = NULL, cols = NULL,
  na.rm = FALSE, ..., useNames = TRUE)

## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric'
rowWeightedMedians(x,
  w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ...,
  useNames = TRUE)

## S4 method for signature 'ANY'
rowWeightedMedians(x, w = NULL, rows = NULL, cols = NULL,
  na.rm = FALSE, ..., useNames = TRUE)

colWeightedMedians(x, w = NULL, rows = NULL, cols = NULL,
  na.rm = FALSE, ..., useNames = TRUE)

## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric'
colWeightedMedians(x,
  w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ...,
  useNames = TRUE)

## S4 method for signature 'ANY'
colWeightedMedians(x, w = NULL, rows = NULL, cols = NULL,
  na.rm = FALSE, ..., useNames = TRUE)

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, missing values (NA or NaN) are omitted from the calculations.

...

Additional arguments passed to specific methods.

useNames

If TRUE (default), names attributes of result are set. Else if FALSE, no naming support is done.

Details

The S4 methods for x of type matrix, array, table, or numeric call matrixStats::rowWeightedMedians / matrixStats::colWeightedMedians.

Value

Returns a numeric vector of length N (K).

See Also

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

  • See also rowMedians 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)
rowWeightedMedians(mat, w = w[1:3])
colWeightedMedians(mat, w = w)

Bioconductor/MatrixGenerics documentation built on Oct. 29, 2023, 2:15 p.m.