colVars {DelayedMatrixStats} | R Documentation |
Variance estimates for each row (column) in a matrix.
colVars(x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, dim. = dim(x), ...) rowVars(x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, dim. = dim(x), ...) ## S4 method for signature 'DelayedMatrix' colVars(x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, dim. = dim(x), force_block_processing = FALSE, ...) ## S4 method for signature 'DelayedMatrix' rowVars(x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, dim. = dim(x), force_block_processing = FALSE, ...)
x |
A NxK DelayedMatrix. |
rows |
A |
cols |
A |
na.rm |
If |
center |
(optional) The center, defaults to the row means. |
dim. |
An |
... |
Additional arguments passed to specific methods. |
force_block_processing |
|
Returns a numeric
vector
of
length N (K).
See rowMeans()
and rowSums()
in
colSums
().
# 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)