colCummaxs: Calculates the cumulative maxima for each row (column) of a...

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

Description

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

Usage

## S4 method for signature 'DelayedMatrix'
colCummaxs(x, rows = NULL, cols = NULL, force_block_processing = FALSE, ...)

## S4 method for signature 'DelayedMatrix'
colCummins(x, rows = NULL, cols = NULL, force_block_processing = FALSE, ...)

## S4 method for signature 'DelayedMatrix'
colCumprods(x, rows = NULL, cols = NULL, force_block_processing = FALSE, ...)

## S4 method for signature 'DelayedMatrix'
colCumsums(x, rows = NULL, cols = NULL, force_block_processing = FALSE, ...)

## S4 method for signature 'DelayedMatrix'
rowCummaxs(x, rows = NULL, cols = NULL, force_block_processing = FALSE, ...)

## S4 method for signature 'DelayedMatrix'
rowCummins(x, rows = NULL, cols = NULL, force_block_processing = FALSE, ...)

## S4 method for signature 'DelayedMatrix'
rowCumprods(x, rows = NULL, cols = NULL, force_block_processing = FALSE, ...)

## S4 method for signature 'DelayedMatrix'
rowCumsums(x, rows = NULL, cols = 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.
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::rowCummaxs / matrixStats::colCummaxs.

Value

Returns a numeric matrixwith the same dimensions as x.

Author(s)

Peter Hickey

Peter Hickey

Peter Hickey

Peter Hickey

See Also

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

• For single maximum estimates, see rowMaxs().

• base::cummax().

Examples

# A DelayedMatrix with a 'matrix' seed
dm_matrix <- DelayedArray(matrix(c(rep(1L, 5),
                                   as.integer((0:4) ^ 2),
                                   seq(-5L, -1L, 1L)),
                                 ncol = 3))
# A DelayedMatrix with a 'Matrix' seed
dm_Matrix <- DelayedArray(Matrix::Matrix(c(rep(1L, 5),
                                           as.integer((0:4) ^ 2),
                                           seq(-5L, -1L, 1L)),
                                         ncol = 3))

colCummaxs(dm_matrix)

colCummins(dm_matrix)

colCumprods(dm_matrix)

colCumsums(dm_matrix)

# Only use rows 2-4
rowCummaxs(dm_Matrix, rows = 2:4)

# Only use rows 2-4
rowCummins(dm_Matrix, rows = 2:4)

# Only use rows 2-4
rowCumprods(dm_Matrix, rows = 2:4)

# Only use rows 2-4
rowCumsums(dm_Matrix, rows = 2:4)

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