Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Roger Peng
Title: Caching and Distributing Statistical Analyses in R
Abstract: We present the cacher package for R, which provides tools for caching statistical analyses and for distributing these analyses to others in an efficient manner. The cacher package takes objects created by evaluating R expressions and stores them in key-value databases. These databases of cached objects can subsequently be assembled into packages for distribution over the web. The cacher package also provides tools to help readers examine the data and code in a statistical analysis and reproduce, modify, or improve upon the results. In addition, readers can easily conduct alternate analyses of the data. We describe the design and implementation of the cacher package and provide two examples of how the package can be used for reproducible research.

Page views:: 5665. Submitted: 2007-10-26. Published: 2008-07-28.
Paper: Caching and Distributing Statistical Analyses in R     Download PDF (Downloads: 5770)
cacher_1.0.tar.gz: R source package Download (Downloads: 1264; 289KB) v26i07.R: R example code from the paper Download (Downloads: 1230; 1KB) Scripts, data sets, and cache archives for the examples from the paper Download (Downloads: 1362; 14MB)

DOI: 10.18637/jss.v026.i07

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.