BigDataStatMeth (version 2.0.3)

HDF5Matrix-scalar-aggregations: Summary statistics for HDF5Matrix

Description

Scalar aggregations over all elements of an HDF5 matrix, computed block-wise without loading the full data into RAM.

Usage

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

Value

A scalar numeric (when save_to = NULL) or an HDF5Matrix pointing to a 1×1 persisted dataset.

Arguments

x

An HDF5Matrix object.

na.rm

Ignored (included for generic compatibility).

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.

...

For Summary methods: additional objects (currently not supported; raises an error if supplied).