| colSums2,DelayedMatrix-method {DelayedMatrixStats} | R Documentation |
Calculates the sum for each row (column) of a matrix-like object.
## S4 method for signature 'DelayedMatrix' colSums2( x, rows = NULL, cols = NULL, na.rm = FALSE, force_block_processing = FALSE, ..., useNames = NA ) ## S4 method for signature 'Matrix' colSums2(x, rows = NULL, cols = NULL, na.rm = FALSE, ..., useNames = NA) ## S4 method for signature 'SolidRleArraySeed' colSums2(x, rows = NULL, cols = NULL, na.rm = FALSE, ..., useNames = NA) ## S4 method for signature 'DelayedMatrix' rowSums2( x, rows = NULL, cols = NULL, na.rm = FALSE, force_block_processing = FALSE, ..., useNames = NA ) ## S4 method for signature 'Matrix' rowSums2(x, rows = NULL, cols = NULL, na.rm = FALSE, ..., useNames = useNames)
x |
A NxK DelayedMatrix. |
rows |
A |
cols |
A |
na.rm |
|
force_block_processing |
|
... |
Additional arguments passed to specific methods. |
useNames |
If |
The S4 methods for x of type matrix,
array, or numeric call
matrixStats::rowSums2
/ matrixStats::colSums2.
Returns a numeric vector of length N (K).
Peter Hickey
matrixStats::rowSums2() and
matrixStats::colSums2() which are used
when the input is a matrix or numeric vector.
base::sum().
# 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))
colSums2(dm_matrix)
# NOTE: Temporarily use verbose output to demonstrate which method is
# which method is being used
options(DelayedMatrixStats.verbose = TRUE)
# By default, this uses a seed-aware method for a DelayedMatrix with a
# 'SolidRleArraySeed' seed
rowSums2(dm_Matrix)
# Alternatively, can use the block-processing strategy
rowSums2(dm_Matrix, force_block_processing = TRUE)
options(DelayedMatrixStats.verbose = FALSE)