bigpca: PCA, Transpose and Multicore Functionality for 'big.matrix' Objects
Version 1.0.3

Adds wrappers to add functionality for big.matrix objects (see the bigmemory project). This allows fast scalable principle components analysis (PCA), or singular value decomposition (SVD). There are also functions for transposing, using multicore 'apply' functionality, data importing and for compact display of big.matrix objects. Most functions also work for standard matrices if RAM is sufficient.

Package details

AuthorNicholas Cooper
Date of publication2015-11-08 08:40:28
MaintainerNicholas Cooper <nick.cooper@cimr.cam.ac.uk>
LicenseGPL (>= 2)
Version1.0.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bigpca")

Try the bigpca package in your browser

Any scripts or data that you put into this service are public.

bigpca documentation built on May 29, 2017, 10:49 p.m.