An R Companion to Applied Regression
- John Fox - McMaster University, Canada
- Sanford Weisberg - University of Minnesota, USA
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
An accompanying website for the book found at study.sagepub.com/RCompanion 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
Made a good supplement with a heavy emphasis on R.
Sample Materials & Chapters
Ch. 1: Getting Started with R and Rstudio