R: Cumulative sums, products, minima and maxima for each row...

colCummaxs {DelayedMatrixStats}

R Documentation

Cumulative sums, products, minima and maxima for each row (column) in a matrix

Description

Cumulative sums, products, minima and maxima for each row (column) in a matrix.

Usage

colCummaxs(x, rows = NULL, cols = NULL, dim. = dim(x), ...)

colCummins(x, rows = NULL, cols = NULL, dim. = dim(x), ...)

colCumprods(x, rows = NULL, cols = NULL, dim. = dim(x), ...)

colCumsums(x, rows = NULL, cols = NULL, dim. = dim(x), ...)

rowCummaxs(x, rows = NULL, cols = NULL, dim. = dim(x), ...)

rowCummins(x, rows = NULL, cols = NULL, dim. = dim(x), ...)

rowCumprods(x, rows = NULL, cols = NULL, dim. = dim(x), ...)

rowCumsums(x, rows = NULL, cols = NULL, dim. = dim(x), ...)

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

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

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

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

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

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

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

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

Arguments

`x`	A NxK DelayedMatrix.
`rows`	A `vector` indicating subset of elements (or rows and/or columns) to operate over. If `NULL`, no subsetting is done.
`cols`	A `vector` indicating subset of elements (or rows and/or columns) to operate over. If `NULL`, no subsetting is done.
`dim.`	An `integer` `vector` of length two specifying the dimension of `x`, also when not a `matrix`.
`...`	Additional arguments passed to specific methods.
`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.

Value

Returns a numeric NxK matrix of the same mode as x, except when x is of mode logical, then the return type is integer.

Author(s)

Peter Hickey

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)

[Package DelayedMatrixStats version 1.10.1 Index]