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.

• Applied Regression Analysis and Generalized Linear Models
• Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
• Regression Analysis by Example
• Applied Linear Regression
• Data Analysis Using Regression and Multilevel/Hierarchical Models
• R For Everyone: Advanced Analytics And Graphics, 2/E
• R for Marketing Research and Analytics (Use R!)
• Applied Regression Modeling
• Introducing Python: Modern Computing in Simple Packages
• Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance (International Series on Actuarial Science)