| 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)