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An R and S Plus Companion to Applied Regression (Paperback)

by Dr. John Fox (Author) "The purpose of this chapter is to introduce you to the S language and to the R and S-PLUS interpreters..." (more)
Key Phrases: prof prof prof prof prof, recode specifications, nested dichotomies, Estimate Std, Anova Table, Adjusted R-squared (more...)

4.2 out of 5 stars See all reviews (5 customer reviews)

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Editorial Reviews

Review
JHatzenbiler normal JHatzenbiler 2 0 2003-09-24T20:29:00Z 2003-09-24T20:29:00Z 1 76 436 sage 3 1 511 10.4219 MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman";} "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."

-- Review --This text refers to the Hardcover edition.

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 )

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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: 9.7 x 7 x 0.9 inches
Shipping Weight: 1.3 pounds (View shipping rates and policies)

Average Customer Review: 4.2 out of 5 stars See all reviews (5 customer reviews)

Amazon.com Sales Rank: #40,740 in Books (See Bestsellers in Books)
Popular in this category: (What's this?)
#17 in Books > Reference > Education > Research

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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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Citations (learn more)

This book cites 3 books:

Conflict Resolution: The Missing Element in the Northern Ireland Peace Process (Island Pamphlets) by Michael Hall in Back Matter
On LISP: Advanced Techniques for Common LISP by Paul Graham in Back Matter
Modern Applied Statistics With S-PLUS by William N. Venables in Front Matter

Books on Related Topics (learn more)

Introductory Statistics with R by Peter Dalgaard

Discusses:

Regression Modeling Strategies by Frank E. Jr. Harrell

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Using R for Introductory Statistics by John Verzani

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The Basics of S-PLUS by Andreas Krause

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	74% buy the item featured on this page: An R and S Plus Companion to Applied Regression 4.2 out of 5 stars (5) $57.85
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Customer Reviews

5 Reviews

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4.2 out of 5 stars (5 customer reviews)

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Most Helpful Customer Reviews

17 of 17 people found the following review helpful:

5.0 out of 5 stars Good basic regression book, November 20, 2004

By	R. Krause (Tempe, AZ) - See all my reviews (REAL NAME)

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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2 of 2 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)

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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2 of 2 people found the following review helpful:

5.0 out of 5 stars Great Stats Text and SPlus Manual, September 22, 2006

By	Paul Millar "FatherResearcher" (Canada) - See all my reviews (REAL NAME)

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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1.0 out of 5 stars The book was torn
The provider did not give information about garanty or how to return an item. The book was torn by its side.

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5.0 out of 5 stars A Great Book to Introduce Statistics in R
I am not a statistician or programmer but was able to do some really good analysis using this book as my guide. Read more

Published 13 months ago by R. Stevens

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