An R Companion to Applied Regression (NULL)

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, and substantial web-based support materials. The Third Edition includes a new chapter on mixed-effects models, new and updated data sets, and a de-emphasis on statistical programming, while retaining a general introduction to basic R programming. The authors have substantially updated both the car and effects packages for R for this new edition, and include coverage of RStudio and R Markdown.

• Applied Regression Analysis and Generalized Linear Models (NULL)
• Applied Regression Analysis and Other Multivariable Methods
• Regression Analysis by Example
• Data Visualization: A Practical Introduction
• R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
• Introductory Econometrics: A Modern Approach - Standalone Book
• Designing Experiments and Analyzing Data: A Model Comparison Perspective, Third Edition
• An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
• Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, 3rd Edition
• Counterfactuals and Causal Inference: Methods And Principles For Social Research (Analytical Methods for Social Research)