colVars,DelayedMatrix-method {DelayedMatrixStats} | R Documentation |
Calculates the variance for each row (column) of a matrix-like object.
## S4 method for signature 'DelayedMatrix' colVars( x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, force_block_processing = FALSE, ... ) ## S4 method for signature 'DelayedMatrix' rowVars( x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, force_block_processing = FALSE, ... )
x |
A NxK DelayedMatrix. |
rows |
A |
cols |
A |
na.rm |
|
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::rowVars
/ matrixStats::colVars
.
Returns a numeric
vector
of length N (K).
Peter Hickey
matrixStats::rowVars()
and
matrixStats::colVars()
which are used
when the input is a matrix
or numeric
vector.
For standard deviation estimates, see rowSds()
.
stats::var()
.
# 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 'HDF5ArraySeed' seed # NOTE: Requires that the HDF5Array package is installed library(HDF5Array) dm_HDF5 <- writeHDF5Array(matrix(c(rep(1L, 5), as.integer((0:4) ^ 2), seq(-5L, -1L, 1L)), ncol = 3)) colVars(dm_matrix) rowVars(dm_matrix)