An R Companion to Applied Regression

This book is a detailed guide to using R for applied regression analysis, offering practical insights and tools for effective data analysis.

The book An R Companion to Applied Regression serves as a comprehensive introduction to the R statistical computing environment, specifically tailored for applied regression analysis. Authored by John Fox and Sanford Weisberg, it guides readers through the intricacies of R, emphasizing the integration of statistical computing with practical data analysis. The text covers a range of topics, including generalized linear models, and is complemented by substantial web-based support materials, making it an invaluable resource for both beginners and seasoned practitioners.

In its Third Edition, the book has undergone significant reorganization, featuring a new chapter dedicated to mixed-effects models, updated datasets, and a shift towards simplifying statistical programming concepts. While maintaining foundational R programming knowledge, the authors have enhanced the car and effects packages, introducing new functionalities that improve user experience and consistency. This edition promotes a data-analysis workflow that prioritizes reproducible research, equipping readers with the necessary tools to document and share their findings effectively.

Furthermore, An R Companion to Applied Regression introduces RStudio, an interactive development environment that streamlines the process of organizing and documenting work. The inclusion of R Markdown is also noteworthy, as it enables users to create documents that seamlessly blend R commands with explanatory text. This book remains a vital resource for anyone looking to master regression models in R, providing clear guidance on estimating, interpreting, and presenting results.