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An R Companion to Applied Regression

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An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, and substantial web-based support materials. The Third Edition has been reorganized and includes a new chapter on mixed-effects models, new and updated data sets, and a de-emphasis on statistical programming, while retaining a general introduction to basic R programming. The authors have substantially updated both the car and effects packages for R for this edition, introducing additional capabilities and making the software more consistent and easier to use. They also advocate an everyday data-analysis workflow that encourages reproducible research. To this end, they provide coverage of RStudio, an interactive development environment for R that allows readers to organize and document their work in a simple and intuitive fashion, and then easily share their results with others. Also included is coverage of R Markdown, showing how to create documents that mix R commands with explanatory text." An R Companion to Applied Regression continues to provide the most comprehensive and user-friendly guide to estimating, interpreting, and presenting results from regression models in R."-Christopher Hare, University of California, Davis

608 pages, Kindle Edition

First published December 7, 2010

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About the author

John D. Fox

16 books2 followers
John Fox is the Senator William McMaster Professor of Social Statistics at the Department of Sociology at McMaster University in Canada.

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9 reviews
June 25, 2013
in my opinion this is one of the best books on regression analysis because the theoretical issues are explained along many examples. readers should have some knowledge about r.
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