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R in a Nutshell

A Desktop Quick Reference

If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports.

Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop.
* Get started quickly with an R tutorial and hundreds of examples
* Explore R syntax, objects, and other language details
* Find thousands of user-contributed R packages online, including Bioconductor
* Learn how to use R to prepare data for analysis
* Visualize your data with R’s graphics, lattice, and ggplot2 packages
* Use R to calculate statistical fests, fit models, and compute probability distributions
* Speed up intensive computations by writing parallel R programs for Hadoop
* Get a complete desktop reference to R
Portrait

Joseph Adler has years of experience working with lots of popular data mining packages, including databases (including Oracle, PostgreSQL, and MS Access), statistical analysis tools (SAS, SPSS, S-Plus, and R), and data mining tools (SAS Enterprise Miner, Insightful Miner, Oracle Data Mining, Weka, and SPSS Clementine). He is currently leading a project at Verisign to pick a data mining package for enterprise deployment.

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Beschreibung

Produktdetails


Einband Taschenbuch
Seitenzahl 724
Erscheinungsdatum 09.10.2012
Sprache Englisch
ISBN 978-1-4493-1208-4
Verlag O'Reilly UK Ltd.
Maße (L/B/H) 22,8/15,3/4,3 cm
Gewicht 1055 g
Auflage 2. Auflage
Buch (Taschenbuch, Englisch)
39,99
inkl. gesetzl. MwSt.
Sofort lieferbar
Versandkostenfrei
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