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An R and S Plus Companion to Applied Regression

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Author: John Fox
Publisher: Sage Publications, Inc
Category: Book

List Price: ~~$61.95~~
Buy Used: $36.95
You Save: $25.00 (40%)

New (7) Used (9) from $36.95

Media: Paperback
Edition: 1
Number Of Items: 1
Pages: 328
Shipping Weight (lbs): 1.3
Dimensions (in): 9.7 x 7 x 0.9

ISBN: 0761922806
Dewey Decimal Number: 519.5360285
EAN: 9780761922803
ASIN: 0761922806

Publication Date: June 15, 2002
Availability: Usually ships in 1-2 business days

Similar Items:

•	Applied Regression Analysis, Linear Models, and Related Methods
•	Applied Regression Analysis and Generalized Linear Models
•	Data Analysis Using Regression and Multilevel/Hierarchical Models
•	Introductory Statistics with R (Statistics and Computing)
•	Modern Applied Statistics with S

Editorial Reviews:

Product Description
ip"The text does an outstanding job of providing the necessary mechanics and theory of the S language. I will use this book in every such course that I teach from this point on."/p p-/iJEFF GILL, iUniversity of Florida, Gainesville/p p"The book provides a valuable supplement to texts on regression analysis and linear models by showing readers how to put into practice the strategies and techniques involved in modern statistical methodology. It explains clearly the use of a very sophisticated and powerful statistical software system. And, while the examples and objectives are focused closely on regression and related techniques, the discussion successfully conveys general advice and principles for statistical computing with the S system." /p p-/iWILLIAM JACOBY, iUniversity of South Carolina/p /ibpFeatures:/p ul /bliVarious facilities of S are introduced as needed within the context of detailed examples /li liCumulative examples: later examples often depend upon earlier ones, but examples in separate chapters are always independent of each other /li liAsterisks note more demanding material that may be skipped without loss of continuity /li liBoxes explain and highlight the many small differences between S-PLUS and R, and between S3 and S4, so that the reader can quickly locate the material that is relevant to their version of S or skip that information /li liA companion Web site, featuring: instructions for downloading, installing, and using the Windows version of R; add-on packages; versions of the bcar/b (companion to applied regression) library that includes the software and data sets described in the book; an appendix for various extensions of regression analysis not covered in the text; and downloadable scripts for all of the examples in the text/li/ul ip /p p"If you want to keep up with the latest developments in statistics, you need to use the computer language S. If you want to learn S, there isn#x2019;t a better way to get started than Fox#x2019;s bAn R and S-Plus Companion to Applied Regression/b."/p p -/iJ. SCOTT LONG, iIndiana University/i /p

Customer Reviews:

5 out of 5 stars

A Great Book to Introduce Statistics in R May 30, 2008
1 out of 1 found this review helpful

I am not a statistician or programmer but was able to do some really good analysis using this book as my guide. I think this book would be good for college students or professionals looking to learn to utilize R, a powerful and free statistical software.

5 out of 5 stars

A good introduction February 19, 2007
2 out of 2 found this review helpful

I find this book helpful as a beginner's supplement to regressions in R. It explains in an easy way the basics of regression analysis in R. Thereby, it is generally understandable and easy to follow even for beginners. The book takes a focus on application and is logically structured, making easy steps first and adding one step to the other in a natural sequence (going from easy to more advanced models and techniques). The book does not cover more intricate regression models like multivariate regression.br /br /Overall, this book is recommended for beginners in R who want to get started with regressions. Although R as an open-source software also allows you to find such information free on the web, I find this book a helpful companion.

5 out of 5 stars

Great Stats Text and SPlus Manual September 22, 2006
2 out of 2 found this review helpful

This text is a fantastic introduction to most regression techniques as well as a wonderful reference to the R and SPlus languages. Although there are many regression texts out there, you will be hard pressed to find one that is as comprehensive and pithy as John Fox's. Not only that, if you want to take advantage of the very powerful (and free) R language, do not buy a manual. Buy this book instead. It's what I use.

5 out of 5 stars

Good basic regression book November 20, 2004
16 out of 16 found this review helpful

I found this book to be a good basic regression book that covers the basics and gives liberal examples with code, and points out differences between R, S-Plus, S3 and S4. The book does give some general background material on the basic systems, like working with arrays, matrices, writing programs and other basic details. Book also covers data transformation, linear models, generalized linear models, model diagnostics and graphing. br /br /Fox is a sociologist and the examples come from his line of work, however this does not degrade the books ability to show regression modelling using R or S. Except for the specific examples the book plus the extra chapters available on the books website more or less covered what was covered in my graduate engineering regression class. br /br /Topics such as nonlinear, robust, resampling, time series, nonparametric, while not covered in the book, chapters are however provided on the books website and appear to the same quality as what is in the rest of the book. Scripts for all the chapters, including the online-only chapters, are also available on the website.

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