Thursday 18 March 2010

R in a Nutshell

R in a Nutshell



R in a Nutshell



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. Get and download textbook R in a Nutshell for free
R in a Nutshell, ISBN-13: 9781449312084, ISBN-10: 144931208X
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-cont R in a Nutshell new edition

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R in a Nutshell: Joseph Adler

Buy R in a Nutshell by Joseph Adler and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones!

"R in a Nutshell" provides a quick and practical way to learn this increasingly popular open source language and environment. Readers will not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.

Store Search search Title, ISBN and Author R in a Nutshell by Joseph Adler Estimated delivery 3-12 business days Format Paperback Condition Brand New R is rapidly becoming the standard for developing statistical software, and R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. Publisher Description Why learn R? Because it s rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick a



R in a Nutshell Textbook


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
Get started quickly with an R tutorial and hundreds of examples Explore R syntax, objects, and other language details Find thousands of user-cont

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