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The R Book,
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 Praise for the first ‘…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)
1051 pages, Hardcover
First published June 1, 2007
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180 people want to read
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Displaying 1 - 11 of 11 reviews
August 13, 2008
It's big. It's incomplete (as I think any book on R has to be). But it is the book I'm using the most as I continue to learn about R. This is a "cookbook": the author gives several specific examples of how to do specific tasks. If you can find one that matches what you want to do (and it is a big book), then it's great. If not, it's frustrating.
Of the four books I have on R/S/S+, this would be the one I'd start with if I had it to do over again. Still, the idea way of learning R is sharing a lab with someone who already knows it.
Of the four books I have on R/S/S+, this would be the one I'd start with if I had it to do over again. Still, the idea way of learning R is sharing a lab with someone who already knows it.
January 1, 2016
Good for learning the R language. Disastrous if used to learn stats. Be forewarned: Crawley makes a SERIOUS MISTAKE concerning the use of step-wise methods in hypothesis testing, which he advocates throughout the book. DO NOT FOLLOW HIS ADVICE. His knowledge of R is supreme. Of statistics, well, not so much.
Crawley is a biologist first, statistician second, and it shows. He displays a lack of fundamental training in statistics, as one might expect of a self-taught statistician. As a consequence, his book does a disservice to the unexperienced readers who naively assume he knows what he is talking about.
Crawley is a biologist first, statistician second, and it shows. He displays a lack of fundamental training in statistics, as one might expect of a self-taught statistician. As a consequence, his book does a disservice to the unexperienced readers who naively assume he knows what he is talking about.
March 14, 2013
The best thing about this large book on R is its breadth: No one book can cover all of R, but this covers a lot.
The biggest problem is the index and contents, which could have been better done and which could have made the book more usable
The biggest problem is the index and contents, which could have been better done and which could have made the book more usable
October 29, 2021
Excellent books for those who want to expand their knowledge of the R language. The author discusses a great variety of topics and examples about multiple statistical procedures and models; However, in my opinion, this book will be more helpful for those who are already familiarized with the R code since theoretically speaking concepts, theorems, and principles and not discussed in-depth, but the way on how to perform the analysis and interpret the outcomes in R is presented with great detail.
This isn't the first statistics book I read written by Michael J. Crawley and once more I was not disappointed.
This isn't the first statistics book I read written by Michael J. Crawley and once more I was not disappointed.
October 16, 2020
I'lll be honest, this really made my head hurt. I've not used R, or any other stats package, so I was hoping for a bit of an easy lead in introduction type thing. This was not it. It's starts out like it might be then bam, it hits you with lots of coding type stuff and technical stats type stuff in a instruction manual style that is almost impossible to read coherently. I have a feeling that this will make an excellent reference guide once I get going with R but for starting out, you might want to start elsewhere...
May 22, 2010
im going to use this space to rant and rave about how amazing R is, and how completely amazing this book is. first of all, R is free. second, it is easy to use. it is user-friendly. it produces pretty graphs and figures and tables. and this book makes all of that happen. i am recommending to myself to stick with r forever and never look back, unless some other software program that is also free and easy to use that has a companion book like this is created, and its better than r. but i doubt it. also dont forget yaletoolkit...and subsequently whatis(x).
July 29, 2011
It's hard to find a good R-Book. This one did the job for me while I was learning, but you will be lost if you are not on r-seek constantly filling the gaps. This book also requires a strong stomach for poor writing and typos. I was an reviewer for the forthcoming "R In Action" and felt that it filled many of the holes this book contained. R-seek and google will also be the ultimate R companion though.
May 28, 2015
R book is an essential book when working with R, especially for beginners!
July 4, 2016
Good recipe book for R if you already know statistics. If you don't, it gives a false sensation that you will, at the beginning, but soon gets too complex.
August 13, 2015
A fine and useful reference on the R programming language for my bookshelf. If you are learning or using R this is a great reference source.
August 3, 2016
You do not read this book. You use it extensively.
Displaying 1 - 11 of 11 reviews