Parallel R

Parallel R

by McCallum, Q. Ethan

Type Book
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It's tough to argue with R as a high-quality, cross-platform, open source statistical software product--unless you're in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You'll learn the basics of Snow, Multicore, Parallel, and some Hadoop-related tools, including how to find them, how to use them, when they work well, and when they don't. With these packages, you can overcome R's single-threaded nature by spreadin…

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Title Statements

  • Full title :Parallel R / Q. Ethan McCallum and Stephen Weston.

Summary

It's tough to argue with R as a high-quality, cross-platform, open source statistical software product--unless you're in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You'll learn the basics of Snow, Multicore, Parallel, and some Hadoop-related tools, including how to find them, how to use them, when they work well, and when they don't. With these packages, you can overcome R's single-threaded nature by spreading work across multiple CPUs, or offloading work to multiple machines to address R's memory barrier.

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Edition Statements

  • Publication Date:©2012.

Publication Statements

  • Publisher(s):O'Reilly Media
  • Place of Publication:Sebastopol, Calif
  • Language:eng
  • Publication Date:©2012.

The Physical Object

  • Description:x, 108 pages : : illustrations ; : 24 cm

Edition Identifiers

  • ISBN:9781449309923, 1449309925
  • oclc:ocn758392444
  • LC Classification:QA76.73.R3
  • Dewey Decimal:005.133

Table of Contents

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Subjects

Datenanalyse Handbooks and manuals Mathematical statistics -- Data process… Open source software Parallelverarbeitung R (Computer program language) R (Computer program language) -- Handbo… R (Langage de programmation) -- Guides,… R (Programm) Statistique mathématique -- Informatique

Writers

McCallum, Q. Ethan Weston, Stephen

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