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An R Companion to Applied Regression

English

By (author): John Fox Sanford Weisberg

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

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Product Details
  • Weight: 1120g
  • Dimensions: 177 x 254mm
  • Publication Date: 16 Oct 2018
  • Publisher: SAGE Publications Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781544336473

About John FoxSanford Weisberg

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.   Sanford Weisberg is Professor Emeritus of statistics at the University of Minnesota.  He has also served as the director of the Universitys Statistical Consulting Service and has worked with hundreds of social scientists and others on the statistical aspects of their research.  He earned a BA in statistics from the University of California Berkeley and a Ph.D. also in statistics from Harvard University under the direction of Frederick Mosteller.  The author of more than 60 articles in a variety of areas his methodology research has primarily been in regression analysis including graphical methods diagnostics and computing.  He is a fellow of the American Statistical Association and former Chair of its Statistical Computing Section.  He is the author or coauthor of several books and monographs including the widely used textbook Applied Linear Regression which has been in print for almost forty years.

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