Full Description
This is a broad introduction to the R statistical computing environment in the context of applied regression analysis. It is a thoroughly updated edition of John Fox's bestselling text An R and S-Plus Companion to Applied Regression (SAGE, 2002). The Second Edition is intended as a companion to any course on modern applied regression analysis.The authors provide a step-by-step guide to using the high-quality free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, enhanced coverage of R graphics and programming, and substantial web-based support materials.An accompanying website for the book can be found at http:/socserv.mcmaster.ca/jfox/Books/Companion/index.html provides:R scripts for examples by chapterData files used in the bookThe car package (Companion to Applied Regression), an accompanying software for regression diagnostics and other regression-related tasksOther resources to help students get the most out of the text
Contents
Preface1. Getting Started With R2. Reading and Manipulating Data3. Exploring and Transforming Data4. Fitting Linear Models5. Fitting Generalized Linear Models6. Diagnosing Problems in Linear and Generalized Linear Models7. Drawing Graphs8. Writing ProgramsReferencesAuthor IndexSubject IndexCommand IndexData Set IndexPackage IndexAbout the Authors
