Provides a new form of data frame backed by shared memory matrices and a way to manipulate them. Upon creation these data frames are shared across multiple local nodes to allow for simple parallel processing.

Documentation

Manual: multiplyr.pdf
Vignette: Multiplyr basics

Maintainer: Jim Blundell <jeblundell at doctors.org.uk>

Author(s): Jim Blundell*

Install package and any missing dependencies by running this line in your R console:

install.packages("multiplyr")

Depends magrittr(>=1.5)
Imports bigmemory(>=4.5.19), bigmemory.sri(>=0.1.3), parallel, methods
Suggests testthat, knitr, rmarkdown
Enhances
Linking to
Reverse
depends
Reverse
imports
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package multiplyr
Materials
URL http://github.com/jeblundell/multiplyr/
Task Views
Version 0.1.1
Published 2016-05-31
License GPL-3
BugReports https://github.com/jeblundell/multiplyr/issues/new
SystemRequirements
NeedsCompilation no
Citation
CRAN checks multiplyr check results
Package source multiplyr_0.1.1.tar.gz