sd.HDF5Matrix: Standard deviation of all elements of an HDF5Matrix

In BigDataStatMeth: Title: Scalable Statistical Computing with HDF5-Backed Matrices

Standard deviation of all elements of an HDF5Matrix

Description

Equivalent to sd(as.vector(X)) — uses Bessel's correction (N-1).

Usage

sd(x, na.rm = FALSE, ...)

## S3 method for class 'HDF5Matrix'
sd(
  x,
  na.rm = FALSE,
  paral = NULL,
  wsize = NULL,
  threads = NULL,
  save_to = NULL,
  overwrite = TRUE,
  ...
)

Arguments

x	An HDF5Matrix object.
na.rm	Ignored (included for generic compatibility).
...	For Summary methods: additional objects (currently not supported; raises an error if supplied).
paral	Logical or NULL. Enable OpenMP parallelisation.
wsize	Integer or NULL. Block size (NULL = auto).
threads	Integer or NULL. Number of threads (NULL = auto).
save_to	Optional persistence target (same format as colSums.HDF5Matrix).
overwrite	Logical. Overwrite existing dataset when saving.

Value

Scalar numeric or an HDF5Matrix when save_to is set.

BigDataStatMeth documentation built on May 15, 2026, 1:07 a.m.