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An R and S Plus Companion to Applied Regression
 
 
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An R and S Plus Companion to Applied Regression [Paperback]

John Fox (Author)
5.0 out of 5 stars  See all reviews (4 customer reviews)


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Book Description

0761922806 978-0761922803 June 15, 2002 1

"This book fits right into a needed niche: rigorous enough to give full explanation of the power of the S language, yet accessible enough to assign to social science graduate students without fear of intimidation. It is a tremendous balance of applied statistical "firepower" and thoughtful explanation. It meets all of the important mechanical needs: each example is given in detail, code and data are freely available, and the nuances of models are given rather than just the bare essentials. It also meets some important theoretical needs: linear models, categorical data analysis, an introduction to applying GLMs, a discussion of model diagnostics, and useful instructions on writing customized functions. "

-JEFF GILL, University of Florida, Gainesville 



Editorial Reviews

Review

"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." (Jeff Gill )

"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." (William Jacoby )

"The style of presentation is rather informal and hands-on, software usage is demonstrated using examples, without lengthy discussions of theory...it is not necessary to switch to a more theoretical text while reading it...In summary, I highly recommend the book to anyone who wants to learn or teach applied regression analysis with S." (Friedrich Leisch )

"Together, John Fox's Applied Regression Analysis, Linear Models and Related Methods and the R and S-plus Companion to Applied Regression have made a fantastic contribution to the world of quantitative social science methology...For students and professors that have yet to discover the wonders of the S language, the Companion is a must read." (Ryan Baker The Political Methologist )

"The book is written in a lively style with an occasional witticism interspresed. The writing is scholarly without being stilted...Baker (2002) has said it nicely addressing the combination of the Companion and the Fox (1997) statistical text. He observed that Fox '...has made a fantastic contribution to the world of quantitative social science methodology' (page 6). My assessment exactly." (Malcolm J. Ree Journal of Educational and Behavioral Sciences )

"This book is laid out in a way that facilitates its use in three major applications...it is eminently practical...Overall, Fox has created a remarkably useful book, not only for learning the S language, but also for understanding applied regression techniques as well." (Paul Millar Canadian Journal of Sociology )

"[The book] provides an excellent vehicle for students and others without previous experience with S in any form to become comfortable with the basics of the enviornment and particularly with the tools available for the preliminary exploratory analysis and for fitting and evaluating linear and generalized linear models...Fox makes thoughtful and effective efforts to prevent the frustration that new users of sophisticated software all to often experience." (Mary Kathryn Cowles The American Statistician )

From the Inside Flap

"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." --JEFF GILL, University of Florida, Gainesville

"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." --WILLIAM JACOBY, University of South Carolina

"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?t a better way to get started than Fox?s An R and S-Plus Companion to Applied Regression." --J. SCOTT LONG, Indiana University --This text refers to an out of print or unavailable edition of this title.


Product Details

  • Paperback: 328 pages
  • Publisher: Sage Publications, Inc; 1 edition (June 15, 2002)
  • Language: English
  • ISBN-10: 0761922806
  • ISBN-13: 978-0761922803
  • Product Dimensions: 9.8 x 7.1 x 0.7 inches
  • Shipping Weight: 1.3 pounds
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #470,609 in Books (See Top 100 in Books)

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19 of 19 people found the following review helpful:
5.0 out of 5 stars Good basic regression book, November 20, 2004
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This review is from: An R and S Plus Companion to Applied Regression (Paperback)
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.

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.

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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4 of 4 people found the following review helpful:
5.0 out of 5 stars A good introduction, February 19, 2007
By 
Daniel Malter "student" (College Park, Maryland, USA) - See all my reviews
(REAL NAME)   
This review is from: An R and S Plus Companion to Applied Regression (Paperback)
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.

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.
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3 of 3 people found the following review helpful:
5.0 out of 5 stars Great Stats Text and SPlus Manual, September 22, 2006
This review is from: An R and S Plus Companion to Applied Regression (Paperback)
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.
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Inside This Book (learn more)
First Sentence:
The purpose of this chapter is to introduce you to the S language and to the R and S-PLUS interpreters. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
prof prof prof prof prof, recode specifications, nested dichotomies, attached data frame, anova function, nonconstant error variance, occupational incumbents, data ellipses, dummy regressors, parallel boxplots, car library, trellis graphics, observation indices, null deviance, binomial logit model, studentized residuals, confidence envelope, numeric vector, residual standard error, hat values, scatterplot matrices, binomial family, plotting region, residual deviance, fitted probabilities
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Estimate Std, Anova Table, Adjusted R-squared, Multiple R-Squared, Number of Fisher Scoring, Index Figure, Non-constant Variance Score Test Variance, Husband's Income Husband's Income Figure
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