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by: John Maindonald, John Braun
List Price: $86.00Amazon.com's Price: $68.80 You Save: $17.20 (20%)Prices subject to change. Availability: Usually ships in 24 hours
Binding: Hardcover
Dewey Decimal Number: 519
EAN: 9780521861168
ISBN: 0521861160
Label: Cambridge University Press
Manufacturer: Cambridge University Press
Number Of Items: 1
Number Of Pages: 528
Publication Date: December 26, 2006
Publisher: Cambridge University Press
Sales Rank: 151790
Studio: Cambridge University Press
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Editorial Review:
Product Description:
Join the revolution ignited by the ground-breaking R system! Starting with an introduction to R, covering standard regression methods, then presenting more advanced topics, this book guides users through the practical and powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display and interpretation of data. The many worked examples, taken from real-world research, are accompanied by commentary on what is done and why. A website provides computer code and data sets, allowing readers to reproduce all analyses. Updates and solutions to selected exercises are also available. Assuming only basic statistical knowledge, the book is ideal for research scientists, final-year undergraduate or graduate level students of applied statistics, and practising statisticians. It is both for learning and for reference. This revised edition reflects changes in R since 2003 and has new material on survival analysis, random coefficient models, and the handling of high-dimensional data.
Customer Reviews
Average Rating: 
Rating: - data analysis presented through R
The authors have written a very good and somewhat unique book on statistical data analysis. The emphasis is on linear models. graphics and diagnostics for identifying violations of modeling assumprions. They build up from the basics starting with simple one variable linear regression and correlation and then moving to multiple regression. Special cases of linear models suchas polynomial regression are presened. They then move on to various generalizations. When the residuals are correlated they ... Read More
Rating:  - Outstanding
Very good book for beginners and experienced users. Good presentation, hard cover, wide content...an outstanding book.
Rating: - Comprehensive and Comprehensible
I am using this book as my main resource to learn R from scratch. I had no prior experience with the program. The text is easy to read, and gives you just enough statistical theory to understand the operations without weighing you down with overly-difficult concepts. Many useful 'references for further reading' are scattered throughout if you want to know more about any particular method or operation. The book has an accompanying website with examples of code used for all the figures in the book, ... Read More
Rating:  - tailored for a select field of individuals
The title gives a comprehensive concept of the book content. Data Analysis and Graphics Using R (emphasize 'R' !!!). Nothing less and really nothing more, although I would add "Introduction to" at the beginning of the title. This book is intended for someone with little/no background in data analysis or R. This book is meant to fill the gap of researchers who do not know statistics terribly well, but want to do some of their own statistics and only do those stats in R. Others wanting an survey of data ... Read More
Rating: - limited review...
I found this book to be quite useful for learning R, and for pointing out the pitfalls for new users. It's especially good to know that there is a website associated with the book that will allow you to download the code used in the book.
There are several good free R resources out there, but in the end I think you get what you pay for. In this case it was nice to have a hard-bound reference with an index and appendix that I could highlight and dog-ear.
I mostly used it as a ... Read More
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