rowCumprods: Calculates the cumulative product for each row (column) of a...

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

Calculates the cumulative product for each row (column) of a matrix-like object

Description

Calculates the cumulative product for each row (column) of a matrix-like object.

Usage

rowCumprods(x, rows = NULL, cols = NULL, ..., useNames = TRUE)

## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric'
rowCumprods(x, rows = NULL,
  cols = NULL, dim. = dim(x), ..., useNames = TRUE)

## S4 method for signature 'ANY'
rowCumprods(x, rows = NULL, cols = NULL, ...,
  useNames = TRUE)

colCumprods(x, rows = NULL, cols = NULL, ..., useNames = TRUE)

## S4 method for signature 'matrix_OR_array_OR_table_OR_numeric'
colCumprods(x, rows = NULL,
  cols = NULL, dim. = dim(x), ..., useNames = TRUE)

## S4 method for signature 'ANY'
colCumprods(x, rows = NULL, cols = NULL, ...,
  useNames = TRUE)

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.
...	Additional arguments passed to specific methods.
useNames	If TRUE (default), names attributes of result are set. Else if FALSE, no naming support is done.
dim.	An integer vector of length two specifying the dimension of x, essential when x is a numeric vector. Note, that this is not a generic argument and not all methods need provide it.

Details

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

Value

Returns a numeric matrixwith the same dimensions as x.

See Also

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

• base::cumprod().

Examples

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

print(mat)

rowCumprods(mat)
colCumprods(mat)

Bioconductor/MatrixGenerics documentation built on Nov. 2, 2024, 4:13 a.m.