colMeans2,DelayedMatrix-method {DelayedMatrixStats} | R Documentation |
Calculates the mean for each row (column) of a matrix-like object.
## S4 method for signature 'DelayedMatrix' colMeans2( x, rows = NULL, cols = NULL, na.rm = FALSE, force_block_processing = FALSE, ... ) ## S4 method for signature 'Matrix' colMeans2(x, rows = NULL, cols = NULL, na.rm = FALSE, ...) ## S4 method for signature 'SolidRleArraySeed' colMeans2(x, rows = NULL, cols = NULL, na.rm = FALSE, ...) ## S4 method for signature 'DelayedMatrix' rowMeans2( x, rows = NULL, cols = NULL, na.rm = FALSE, force_block_processing = FALSE, ... ) ## S4 method for signature 'Matrix' rowMeans2(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
x |
A NxK DelayedMatrix. |
rows |
A |
cols |
A |
na.rm |
|
force_block_processing |
|
... |
Additional arguments passed to specific methods. |
The S4 methods for x
of type matrix
,
array
, or numeric
call
matrixStats::rowMeans2
/ matrixStats::colMeans2
.
Returns a numeric
vector
of length N (K).
Peter Hickey
matrixStats::rowMeans2()
and
matrixStats::colMeans2()
which are
used when the input is a matrix
or numeric
vector.
See also rowMeans()
for the
corresponding function in base R.
For variance estimates, see rowVars()
.
See also the base R version base::rowMeans()
.
# 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 'SolidRleArraySeed' seed dm_Rle <- RleArray(Rle(c(rep(1L, 5), as.integer((0:4) ^ 2), seq(-5L, -1L, 1L))), dim = c(5, 3)) colMeans2(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 rowMeans2(dm_Rle) # Alternatively, can use the block-processing strategy rowMeans2(dm_Rle, force_block_processing = TRUE) options(DelayedMatrixStats.verbose = FALSE)