An R Companion to Applied Regression

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 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

• Applied Regression Analysis and Generalized Linear Models
• Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences
• Regression Analysis by Example (Wiley Series in Probability and Statistics)
• Applied Linear Regression (Wiley Series in Probability and Statistics)
• Data Analysis Using Regression and Multilevel/Hierarchical Models (Analytical Methods for Social Research)
• Introducing Python: Modern Computing in Simple Packages
• R for Marketing Research and Analytics (Use R!)
• Applied Regression Modeling
• Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance (International Series on Actuarial Science)