colWeightedMeans,DelayedMatrix-method {DelayedMatrixStats} | R Documentation |
Calculates the weighted mean for each row (column) of a matrix-like object.
## S4 method for signature 'DelayedMatrix' colWeightedMeans( x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, force_block_processing = FALSE, ... ) ## S4 method for signature 'DelayedMatrix' rowWeightedMeans( x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, force_block_processing = FALSE, ... )
x |
A NxK DelayedMatrix. |
w |
A |
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::rowWeightedMeans
/ matrixStats::colWeightedMeans
.
Returns a numeric
vector
of length N (K).
Peter Hickey
matrixStats::rowWeightedMeans()
and
matrixStats::colWeightedMeans()
which are used when the input is a matrix
or numeric
vector.
See also rowMeans2 for the corresponding unweighted function.
# 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)) colWeightedMeans(dm_Matrix) # Specifying weights inversely proportional to rowwise variances colWeightedMeans(dm_Matrix, w = 1 / rowVars(dm_Matrix)) rowWeightedMeans(dm_Matrix, w = 1:3)