colWeightedMads,DelayedMatrix-method {DelayedMatrixStats} | R Documentation |
Calculates the weighted median absolute deviation for each row (column) of a matrix-like object.
## S4 method for signature 'DelayedMatrix' colWeightedMads( x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, constant = 1.4826, center = NULL, force_block_processing = FALSE, ... ) ## S4 method for signature 'DelayedMatrix' rowWeightedMads( x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, constant = 1.4826, center = NULL, force_block_processing = FALSE, ... )
x |
A NxK DelayedMatrix. |
w |
A |
rows |
A |
cols |
A |
na.rm |
|
constant |
A scale factor. See |
center |
(optional) the center, defaults to the row means |
force_block_processing |
|
... |
Additional arguments passed to specific methods. |
The S4 methods for x
of type matrix
,
array
, or numeric
call
matrixStats::rowWeightedMads
/ matrixStats::colWeightedMads
.
Returns a numeric
vector
of length N (K).
Peter Hickey
matrixStats::rowWeightedMads()
and
matrixStats::colWeightedMads()
which are used when the input is a matrix
or numeric
vector.
See also rowMads for the corresponding unweighted function.
# 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)) colWeightedMads(dm_matrix, w = 1:5) rowWeightedMads(dm_matrix, w = 3:1)