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An R and S-Plus Companion to Applied Regression - Softcover

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9780761922803: An R and S-Plus Companion to Applied Regression

Synopsis

"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

Features:

  • Various facilities of S are introduced as needed within the context of detailed examples
  • Cumulative examples: later examples often depend upon earlier ones, but examples in separate chapters are always independent of each other
  • Asterisks note more demanding material that may be skipped without loss of continuity
  • Boxes 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
  • A companion Web site, featuring: instructions for downloading, installing, and using the Windows version of R; add-on packages; versions of the car (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

 

"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 

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About the Author

John Fox received a BA from the City College of New York and a PhD from the University of Michigan, both in Sociology. He is Professor Emeritus of Sociology at McMaster University in Hamilton, Ontario, Canada, where he was previously the Senator William McMaster Professor of Social Statistics. Prior to coming to McMaster, he was Professor of Sociology, Professor of Mathematics and Statistics, and Coordinator of the Statistical Consulting Service at York University in Toronto. Professor Fox is the author of many articles and books on applied statistics, including \emph{Applied Regression Analysis and Generalized Linear Models, Third Edition} (Sage, 2016). He is an elected member of the R Foundation, an associate editor of the Journal of Statistical Software, a prior editor of R News and its successor the R Journal, and a prior editor of the Sage Quantitative Applications in the Social Sciences monograph series.

 

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