R Companion to Applied Regression

An R Companion to Applied Regression is a comprehensive introduction to the R statistical computing environment for applied regression analysis, with step-by-step guidance, coverage of generalized linear models, and web-based support. The Third Edition has been updated and includes a new chapter on mixed-effects models, new data sets, and a de-emphasis on statistical programming. It also advocates an everyday data-analysis workflow with RStudio and R Markdown.

Format: Paperback / softback
Length: 608 pages
Publication date: 16 October 2018
Publisher: SAGE Publications Inc

An R Companion to Applied Regression is a comprehensive introduction to the R statistical computing environment, focusing on applied regression analysis. Written by John Fox and Sanford Weisberg, this book offers a step-by-step guide to using R, emphasizing its integration with data analysis practices. It covers generalized linear models, provides substantial web-based support materials, and emphasizes the use of RStudio, an interactive development environment for R. The third edition of the book has been reorganized and includes a new chapter on mixed-effects models, updated data sets, and a de-emphasis on statistical programming. The authors have extensively updated the car and effects packages for R, introducing new capabilities and enhancing consistency and ease of use. They advocate for a reproducible data-analysis workflow and provide coverage of RStudio and R Markdown, enabling readers to organize and share their work effectively. An R Companion to Applied Regression remains the most comprehensive and user-friendly guide to estimating, interpreting, and presenting results from regression models in R, making it an essential resource for researchers and practitioners in the field.

An R Companion to Applied Regression is a comprehensive introduction to the R statistical computing environment, focusing on applied regression analysis. Written by John Fox and Sanford Weisberg, this book offers a step-by-step guide to using R, emphasizing its integration with data analysis practices. It covers generalized linear models, provides substantial web-based support materials, and emphasizes the use of RStudio, an interactive development environment for R. The third edition of the book has been reorganized and includes a new chapter on mixed-effects models, updated data sets, and a de-emphasis on statistical programming. The authors have extensively updated the car and effects packages for R, introducing new capabilities and enhancing consistency and ease of use. They advocate for a reproducible data-analysis workflow and provide coverage of RStudio and R Markdown, enabling readers to organize and share their work effectively. An R Companion to Applied Regression remains the most comprehensive and user-friendly guide to estimating, interpreting, and presenting results from regression models in R, making it an essential resource for researchers and practitioners in the field.

Weight: 1046g
Dimension: 179 x 253 x 30 (mm)
ISBN-13: 9781544336473
Edition number: 3 Revised edition