Product Description

The high–level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting–edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis.

Building on the success of the author’s bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guide to R, ideal for novice and more accomplished users alike. The book assumes no background in statistics or computing and introduces the advantages of the R environment, detailing its applications in a wide range of disciplines.

• Provides the first comprehensive reference manual for the R language, including practical guidance and full coverage of the graphics facilities.
• Introduces all the statistical models covered by R, beginning with simple classical tests such as chi–square and t–test.
• Proceeds to examine more advance methods, from regression and analysis of variance, through to generalized linear models, generalized mixed models, time series, spatial statistics, multivariate statistics and much more.

The R Book is aimed at undergraduates, postgraduates and professionals in science, engineering and medicine. It is also ideal for students and professionals in statistics, economics, geography and the social sciences.

Product Details

• Amazon Sales Rank: #80042 in Books
• Published on: 2007-04-20
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 950 pages

Review
"There is a tremendous amount of information in the book, and it will be very helpful … .This is a potentially very useful book." (Journal of Applied Science, December 2008)

"…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, Aug 2008)

"The R Book; provides the first comprehensive reference manual for the R language." (Statistica 2008)

"…a 950–page comprehensive reference manual for what is perhaps becoming the most powerful and flexible statistical software environment…" (CHOICE, December 2007)

‘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, 19th July 2007)  

"There is a tremendous amount of information in the book, and it will be very helpful … .This is a potentially very useful book." (Journal of Applied Science, Dec 2008)

Review
"…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, Aug 2008)

"The High–level software language of R is setting standards in quantitative analysis." (Professional Pensions, 19th July 2007)

"The R Book; provides the first comprehensive reference manual for the R language." (Statistica 2008)

"There is a tremendous amount of information in the book, and it will be very helpful … .This is a potentially very useful book." (Journal of Applied Science, Dec 2008)

From the Back Cover
The high–level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting–edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis.

Building on the success of the author’s bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guide to R, ideal for novice and more accomplished users alike. The book assumes no background in statistics or computing and introduces the advantages of the R environment, detailing its applications in a wide range of disciplines.

• Provides the first comprehensive reference manual for the R language, including practical guidance and full coverage of the graphics facilities.
• Introduces all the statistical models covered by R, beginning with simple classical tests such as chi–square and t–test.
• Proceeds to examine more advance methods, from regression and analysis of variance, through to generalized linear models, generalized mixed models, time series, spatial statistics, multivariate statistics and much more.

The R Book is aimed at undergraduates, postgraduates and professionals in science, engineering and medicine. It is also ideal for students and professionals in statistics, economics, geography and the social sciences.

Customer Reviews

Great reference but does not have a clear objective
I have used Crawley's other book as a text for teaching R and I like it for introducing statistics methods and giving the R examples of how to use the different techniques. This book is very much of the same style. So I agree with the other reviewers that it is a very extensive and comprehensive guide to R and it is a perfect desk reference.

But if it aims to either be a guide to programming or a guide to statistical methods then it fails in both aims. As a programming guide it is not laid out by methods and as a guide to statistics there is no consistent thread through the text.

For me the chapter on Simulation Models is a perfect example of where it fails. You have cookbook like examples for a few simulations but these are not easily adapted to your own problems so they are not a guide to programming, and they are very different types of simulations so they do not teach simulation.

There is also a lack of pointers to other resources and further reading - the bibliography is largely detached from the text and it would be a simple and useful step to improve the cross-referencing by including relevant references at the end of chapters rather than only at the end of the book.

So I will keep y copy close at hand to look for examples and methods but it is not something that I would recommend for everyday use.

Brilliant. This is it
Everything you wanted to know about R. Plus loads of things you didn't know you wanted to know, but are glad to know now you know.

Essential Reference for Anyone Learning R
I've been working on a microarray data analysis project for the past month using R.
I was initially reluctant about buying this book because it's expensive and when it comes to programming the online reference and Google are usually enough for all programming languages I've come across. However out of frustration with the R online documentation which is nowhere as comprehensive and clear (this is really one of R's weak points in my opinion) at it ought to be I decided to buy this book. Let just say that beside being very good value for money compared to other much thinner R books out there (i.e. like the R Graphics book), it covers all the essential background such as working with indices, data frames and tables (which for someone coming from other languages are really the best features of R) in pretty extensive detail. If you are going to buy an R book, this is the first R book you should buy. You will then be able to make a more informed decision when it comes to buying the next one.