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List Price: $110.00Amazon.com's Price: $88.00 You Save: $22.00 (20%)Prices subject to change.
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Binding: Hardcover
Dewey Decimal Number: 519.502855133
EAN: 9780470510247
ISBN: 0470510242
Label: Wiley
Manufacturer: Wiley
Number Of Items: 1
Number Of Pages: 950
Publication Date: June 15, 2007
Publisher: Wiley
Sales Rank: 9036
Studio: Wiley
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Editorial Review:
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.
Average Rating: 
Rating:  -
This book was for my son and it was just what he wanted. He was very happy with it!
Rating: -
It's about time that software like R became available and popular, it is clearly the way to go. I've been learning it on my own for a few months now with the help of about a dozen online .pdf file manuals, and sometimes using the Nabble forum for R. I finally broke down and bought this book, and wish I would've bought it in the beginning. If I were to write a book on this subject, this is pretty much exactly what I would do...except I'd like to see a companion volume that explores the numerous ... Read More
Rating:  -
This is a good book, if you are a lousy programmer and just want something to get you started in R. And that was me a couple of months ago.The style is conversational, the exposition patient. That's just what you need if you have been put off by the on-line documentation.
In its overall architecture, the book is a bit scatty. It spends a little too much time on statistical theory and, as other reviewers have said, not enough on the more advanced programming features of R.
But ... Read More
Rating: -
This book is an excellent introduction to the R language and the statistical theory underlying it. It requires some patience as there is a considerable deal of repetition (the exercises are all very similar but gradually increase in complexity as one progresses from two way anova to generalized additive models and more). Also there are a few small errors (I did not mind these as they helped me realized that I was still concentrating) - the book could have used a keen editorial eye. Am very happy with my ... Read More
Rating: -
Given the length of this book, and the list of contents covered, I had the highest expectations about it.
After spending 2 intensive months reading it, I have mixed feelings. Positive points are the large number of statistical models and methods described. The R examples are useful to follow the explanations, and the writing style is comprehensive. I agree with some reviewers in that the linear models section (Chaps. 9-19) is the most useful one. The last Chapter also presents useful tricks ... Read More
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