Free Trial

Safari Books Online is a digital library providing on-demand subscription access to thousands of learning resources.

Overview

R is a wonderful thing, indeed: in recent years this free, open-source product has become a popular toolkit for statistical analysis and programming. Two of R's limitations -- that it is single-threaded and memory-bound -- become especially troublesome in the current era of large-scale data analysis. It's possible to break past these boundaries by putting R on the parallel path. Parallel R will describe how to give R parallel muscle. Coverage will include stalwarts such as snow and multicore, and also newer techniques such as Hadoop and Amazon's cloud computing platform.

Subscriber Reviews

Average Rating: 4 out of 5 rating Based on 1 Rating

"Data Scientist @ Civitas Learning" - by Robert_Yerex on 20-MAR-2012
Reviewer Rating: 1 star rating2 star rating3 star rating4 star rating5 star rating
Excellent overview of some of the current techniques for distributing R processing. Examples and code are great. While it does not go into great detail on any of the methods, it does give enough information to get started in each and allow one to make an informed decision as to which method to pursue in greater detail.
Report as Inappropriate

Table of Contents

 

Extras

The publisher has provided additional content related to this title.


Description
Content

Visit the catalog page for Parallel R

  • Catalog Page

Visit the errata page for Parallel R

  • Errata

Download the supplemental electronic content for Parallel R

  • Supplemental Content