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An R Companion to Applied Regression

Second Edition
John Fox
Sanford Weisberg University of Minnesota, USA
© 2011   472 pages   SAGE Publications, Inc   
Instructors
Complimentary Review Copy
Available on CourseSmart Course Smart
Individual Purchasers
Paperback ISBN: 9781412975148 $88.00

CourseSmart

This is a broad introduction to the R statistical computing environment in the context of applied regression analysis. It is a thoroughly updated edition of John Fox’s bestselling text An R and S-Plus Companion to Applied Regression (SAGE, 2002). The Second Edition is intended as a companion to any course on modern applied regression analysis.

The authors provide a step-by-step guide to using the high-quality free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, enhanced coverage of R graphics and programming, and substantial web-based support materials.

An accompanying website for the book can be found at http://socserv.mcmaster.ca/jfox/Books/Companion/index.html provides:

  • R scripts for examples by chapter
  • Data files used in the book
  • The car package (Companion to Applied Regression), an accompanying software for regression diagnostics and other regression-related tasks
  • Other resources to help students get the most out of the text

An R Companion to Applied Regression

Second Edition
John Fox
Sanford Weisberg University of Minnesota, USA
© 2011   472 pages   SAGE Publications, Inc  

Available Formats

ISBN:   9781412975148 Paperback Suggested Retail Price:   $88.00 Bookstore Price:   $70.40

Previous Editions Published by SAGE

First Edition: © 2002

About This Title

CourseSmart

This is a broad introduction to the R statistical computing environment in the context of applied regression analysis. It is a thoroughly updated edition of John Fox’s bestselling text An R and S-Plus Companion to Applied Regression (SAGE, 2002). The Second Edition is intended as a companion to any course on modern applied regression analysis.

The authors provide a step-by-step guide to using the high-quality free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, enhanced coverage of R graphics and programming, and substantial web-based support materials.

An accompanying website for the book can be found at http://socserv.mcmaster.ca/jfox/Books/Companion/index.html provides:

  • R scripts for examples by chapter
  • Data files used in the book
  • The car package (Companion to Applied Regression), an accompanying software for regression diagnostics and other regression-related tasks
  • Other resources to help students get the most out of the text

Should you need additional information or have questions regarding the HEOA information provided for this title, including what is new to this edition, please email sageheoa@sagepub.com. Please include your name, contact information, and the name of the title for which you would like more information. For information on the HEOA, please go to http://ed.gov/policy/highered/leg/hea08/index.html.

We hope you'll consider this SAGE text. Email us at info@sagepub.com, or click here to find your SAGE rep.

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