tesseradata/datadr: Divide and Recombine for Large, Complex Data

Methods for dividing data into subsets, applying analytical methods to the subsets, and recombining the results. Comes with a generic MapReduce interface as well. Works with key-value pairs stored in memory, on local disk, or on HDFS, in the latter case using the R and Hadoop Integrated Programming Environment (RHIPE).

Getting started

Package details

MaintainerRyan Hafen <rhafen@gmail.com>
LicenseBSD_3_clause + file LICENSE
Version0.8.6
URL http://deltarho.org/docs-datadr
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("tesseradata/datadr")
tesseradata/datadr documentation built on May 31, 2019, 8:57 a.m.