This package extends the bigmemory package with various analytics. Functions bigkmeans and binit may also be used with native R objects. For tapply-like functions, the bigtabulate package may also be helpful. For linear algebra support, see bigalgebra. For mutex (locking) support for advanced shared-memory usage, see synchronicity.
|Author||John W. Emerson <firstname.lastname@example.org> and Michael J. Kane <email@example.com>|
|Date of publication||2014-09-08 14:46:33|
|Maintainer||Michael J. Kane <firstname.lastname@example.org>|
|License||LGPL-3 | Apache License 2.0|
apply-methods: apply() for big.matrix objects.
biganalytics-package: biganalytics: A library of utilities for big.matrix objects...
bigkmeans: The Bigmemory Project's memory-efficient k-means cluster...
biglm.big.matrix: Use Thomas Lumley's "biglm" package with a "big.matrix"
binit: Count elements appearing in bins of one or two variables.
summary.stat: Basic statistics for "big.matrix" objects.