An R Companion to Applied Regression, 3rd Edition

Book Description 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 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 new edition, and include coverage of RStudio and R Markdown.

Content

1. Getting Started With R and RStudio
2. Reading and Manipulating Data
3. Exploring and Transforming Data
4. Fitting Linear Models
5. Coefficient Standard Errors, Confidence Intervals, and Hypothesis Tests
6. Fitting Generalized Linear Models
7. Fitting Mixed-Effects Models
8. Regression Diagnostics for Linear, Generalized Linear, and Mixed-Effects Models
9. Drawing Graphs
10. An Introduction to R Programming