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"It may seem strange to include a new edition of a textbook in the preview, but I feel that this is one that is definitely worth highlighting. 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)
"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)
Inside This Book
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Front Cover | Copyright | Table of Contents | Excerpt | Index
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Most Helpful Customer Reviews
18 of 19 people found the following review helpful
Format:Hardcover|Amazon Verified Purchase
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.
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.
9 of 10 people found the following review helpful
Format:Hardcover
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.
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.
2 of 2 people found the following review helpful
Format:Hardcover
Normally the Amazon reviews are reliable but I feel let down on this one. I parted with £[] for this edition on the basis of the positive reviews here but now I wish had read more about it on Amazon.com where there is some more negative (and in my opinion more accurate) feedback.
I was put off as soon as I picked it up by the abysmal formatting of the programming code examples. They are typeset in Arial without any regard for spacing or alignment, and they compare very badly to any of Donald Knuth's books (for example) where the programming code is beautifully presented. To me, this is not just a matter of aesthetics -- proper spacing, indentation, and highlighting of keywords make code examples much easier to understand and much more useful.
The rest of the book design is little better. For the table of contents you just get a single page with the chapter headings. There's nothing else at all to tell you what's in each chapter except a paragraph or two at the start of each one. There are no numbered subheadings, no running titles etc, and yet some of the chapters are 80 pages long! So it's really hard to find where a topic starts and stops. The page breaks all appear to be completely arbitrary as well, so you get breaks in the middle of code examples, in the middle of long bullet lists, in the middle of maths formulae, and even display boxes. All of these add up to make the damn thing unpleasant to use.
My strong recommendation is to go to a real bookshop or a library and have a good look through it to see if these issues bother you, before you part with your money. As for me, I am back on my hunt for a good general purpose book on R.
I was put off as soon as I picked it up by the abysmal formatting of the programming code examples. They are typeset in Arial without any regard for spacing or alignment, and they compare very badly to any of Donald Knuth's books (for example) where the programming code is beautifully presented. To me, this is not just a matter of aesthetics -- proper spacing, indentation, and highlighting of keywords make code examples much easier to understand and much more useful.
The rest of the book design is little better. For the table of contents you just get a single page with the chapter headings. There's nothing else at all to tell you what's in each chapter except a paragraph or two at the start of each one. There are no numbered subheadings, no running titles etc, and yet some of the chapters are 80 pages long! So it's really hard to find where a topic starts and stops. The page breaks all appear to be completely arbitrary as well, so you get breaks in the middle of code examples, in the middle of long bullet lists, in the middle of maths formulae, and even display boxes. All of these add up to make the damn thing unpleasant to use.
My strong recommendation is to go to a real bookshop or a library and have a good look through it to see if these issues bother you, before you part with your money. As for me, I am back on my hunt for a good general purpose book on R.
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Most Recent Customer Reviews
satisfied R user
This book helps me a lot on the analysis of my data, however, it is not consistent throughout the chapters. Read more
Published 14 months ago by SPV
The R Bible
I have a fairly extensive collection of R books but this is by far the most comprehensive, accessible and well organised. Read more
Published 14 months ago by Magnus Johnson
Kindle Edition cannot be searched - do not buy it!
This is an important reference book if you use the R package, but its hardly portable and so I thought it would be good to have the Kindle edition so I could use it wherever I... Read more
Published 15 months ago by Jonathan Silvertown
Perfect, I use R all the time now.
I am a psychology PhD student and I used SPSS for most of my work. However, recently i needed something that was a bit more flexible and I came across R. Read more
Published 19 months ago by Mr. Smith
Very good practical book on the use of R
This book is extremely clear and well organised. It is a very practical textbook on the use of R (excluding any Bayesian statistics). Read more
Published on 4 Nov 2009 by Fanfan la Tulipe
The R Book: teaching statistics while doing statistics
Basically, I can say the R book is an excellent book. It covers not only the basic R commands, but it introduces a lot of statistical scenarios where it can be used. Read more
Published on 5 Feb 2009 by G. F. Manuel
good summary of R functions
The book is a good reference book for R users with some background in statistics. However, it is a bit lengthy by trying also to explain statistics, which it fails because it is... Read more
Published on 26 July 2007 by Hey man
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.
Published on 4 May 2007 by George
Listmania!
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