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The R Book [Hardcover]

Michael J. Crawley
3.0 out of 5 stars  See all reviews (1 customer review)
List Price: CDN$ 109.95
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Book Description

Dec 26 2012 0470973927 978-0470973929 2

Hugely successful and popular text presenting an extensive and comprehensive guide for all R users

The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research.

This edition:

  • Features full colour text and extensive graphics throughout.
  • Introduces a clear structure with numbered section headings to help readers locate information more efficiently.
  • Looks at the evolution of R over the past five years.
  • Features a new chapter on Bayesian Analysis and Meta-Analysis.
  • Presents a fully revised and updated bibliography and reference section.
  • Is supported by an accompanying website allowing examples from the text to be run by the user.

 

Praise for the first edition:

‘…if you are an R user or wannabe R user, this text is the one that should be on your shelf.  The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.’ (The American Statistician, August 2008)

‘The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to The R Book…’ (Professional Pensions, July 2007) 

Frequently Bought Together

The R Book + R Cookbook + A Beginner's Guide to R
Price For All Three: CDN$ 174.61

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Review

"It is a classic that does not just sell to students during term time but has a much wider appeal ... This edition will sell really well on publication." (The Bookseller, 16 December 2011)

From the Back Cover

Hugely successful and popular text presenting an extensive and comprehensive guide for all R users

The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research.

This edition:

  • Features full colour text and extensive graphics throughout.
  • Introduces a clear structure with numbered section headings to help readers locate information more efficiently.
  • Looks at the evolution of R over the past five years.
  • Features a new chapter on Bayesian Analysis and Meta-Analysis.
  • Presents a fully revised and updated bibliography and reference section.
  • Is supported by an accompanying website allowing examples from the text to be run by the user.

Praise for the first edition:

‘…if you are an R user or wannabe R user, this text is the one that should be on your shelf.  The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.’ (The American Statistician, August 2008)

‘The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to The R Book…’ (Professional Pensions, July 2007)

Inside This Book (Learn More)
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Front Cover | Copyright | Table of Contents | Excerpt | Index
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Customer Reviews

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Most helpful customer reviews
By Pei Li
Format:Hardcover|Amazon Verified Purchase
the book content is OK, but the bookbinding quality is really bad. During my first week's use, the pages were broken near the axis, with the binding cord exposed.

But the content in the book is OK: complete and in detail.
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 4.5 out of 5 stars  11 reviews
15 of 15 people found the following review helpful
5.0 out of 5 stars Must-see Jan 14 2013
By Dimitri Shvorob - Published on Amazon.com
Format:Hardcover
This should be the R bestseller. Although you can consider other options when choosing your first R book - I endorse Robert Kabacoff's "R in Action" - the unrivaled breadth of Michael Crawley's 1000-page tome makes it a keeper, and since it's also perfectly accessible, why not start here. You definitely want to get the second edition, a major improvement over the first one. (To comment on the first edition's reviews: I did not find the writing confusing; I would not point R newcomers to "R in Nutshell" (wide-ranging - yes; novice-friendly - no) or the book by Maindonald and Brown (substantial and accessible - yes; competitive with Crawley's - no); I would refer the coding ninjas clamoring for "advanced R programming" to Matloff's "Art of R Programming", and guesstimate that 90% of R users never need that stuff). Separately, I would suggest using (free) RStudio IDE as the environment for your R coding.
6 of 6 people found the following review helpful
4.0 out of 5 stars The Best One Book, but can't be the only book Mar 7 2013
By Robert Pond Young - Published on Amazon.com
Format:Hardcover|Amazon Verified Purchase
The text is little different from the 1st edition, but the printing is far superior. On the whole, an adequate introduction to the stats done in R, typos excepted. Graphics still gets short shrift. Jump to Hadley's ggplot2 book for that.

If you have the 1st and don't care about the physical presentation, then don't bother. If you're looking for an overview of stats and R (either from the ground up, or as a refresher), this does the best job of the half-dozen or so I've read. It won't get you the guns to argue with a Ph.D math stat, but no intro book will.
3 of 3 people found the following review helpful
5.0 out of 5 stars An excellent introduction, and an excellent reference Mar 13 2013
By A Biologist - Published on Amazon.com
Format:Hardcover
An excellent introduction to analysing and understanding your data if you're a novice, and an excellent reference to how to get things done if you're not.

The book is easy to follow. You're guided through how the statistics work from first principles, and then walked through what the output from R means. This means you get a thorough understanding of what's going on to begin with, and then can get things done quickly and with confidence on your own data.

The colour throughout makes it easy to follow, and the index is very comprehensive so it's easy to find things. The book is very thorough on things like ANOVAs and generalised linear models, and gives a good amount of detail on most things you could want to know (spatial, multivariate, Bayesian, time series, etc.).

If you're serious about statistics, you're never going to be able to find everything you need in one book, and maybe that's no problem in these days of the internet. However, this is the closest thing to a complete reference I've ever found, and I'm always coming back to it. Yes, it's a little more pricey than some others out there, but the quality and depth of coverage mean it's worth it in my opinion.
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