colMads,DelayedMatrix-method {DelayedMatrixStats} | R Documentation |
Calculates the median absolute deviation for each row (column) of a matrix-like object.
## S4 method for signature 'DelayedMatrix' colMads( x, rows = NULL, cols = NULL, center = NULL, constant = 1.4826, na.rm = FALSE, force_block_processing = FALSE, ... ) ## S4 method for signature 'DelayedMatrix' colSds( x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, force_block_processing = FALSE, ... ) ## S4 method for signature 'DelayedMatrix' rowMads( x, rows = NULL, cols = NULL, center = NULL, constant = 1.4826, na.rm = FALSE, force_block_processing = FALSE, ... ) ## S4 method for signature 'DelayedMatrix' rowSds( x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, force_block_processing = FALSE, ... )
x |
A NxK DelayedMatrix. |
rows |
A |
cols |
A |
center |
(optional) the center, defaults to the row means |
constant |
A scale factor. See |
na.rm |
|
force_block_processing |
|
... |
Additional arguments passed to specific methods. |
The S4 methods for x
of type matrix
,
array
, or numeric
call
matrixStats::rowMads
/ matrixStats::colMads
.
Returns a numeric
vector
of length N (K).
Peter Hickey
Peter Hickey
matrixStats::rowMads()
and
matrixStats::colMads()
which are used
when the input is a matrix
or numeric
vector.
For non-robust standard deviation estimates, see
rowSds()
.
# A DelayedMatrix with a 'data.frame' seed dm_df <- DelayedArray(data.frame(C1 = rep(1L, 5), C2 = as.integer((0:4) ^ 2), C3 = seq(-5L, -1L, 1L))) # A DelayedMatrix with a 'DataFrame' seed dm_DF <- DelayedArray(S4Vectors::DataFrame(C1 = rep(1L, 5), C2 = as.integer((0:4) ^ 2), C3 = seq(-5L, -1L, 1L))) colMads(dm_df) colSds(dm_df) rowMads(dm_DF) rowSds(dm_DF)