ANALYSIS OF CATEGORICAL DATA WITH R [Hardcover]

1. Analyzing a Binary Response, Part 1: Introduction. 2. Analyzing a Binary Response, Part 2: Regression Models. 3. Analyzing a Multicategory Response. 4. Analyzing a Count Response. 5. Model Selection and Evaluation. 6. Additional Topics.

Substantial update from the first edition based on experience of teaching from the book for nearly a decade. Organized as before, but two new substantive topics in the advanced topics chapter  group testing and splines. Computing has been completely updated, with the emmeans [CB1] package now integrated into the book.

This book is?particularly useful?as a book that focuses on the analysis of discrete data rather than the theory of discrete data analysis. It is suitable for a large variety of readers: undergraduates, graduates, as well as scientific researchers. Some key features of the book separate it from other discrete data analysis textbooks. One is the use of powerful statistical software R as the learning bridge between applications and theory of discrete data analysis. For easily understood methods, the book provides multiple examples of R codes that showcase them being carried out.?For methods with challenging statistical backgrounds, the R codes and the authors personal website show their working principles. Another one is the selection of topics which considers both lecture time (one semester) and major analytic techniques in discrete data analysis. The videos and lecture notes in the authors personal website provide great benefits to college students, instructors, as well as self-learners.
~Xianggui (Harvey) Qu, Professor of Statistics, Oakland University

I suspect that Im not alone in singing high praises for the first (2015) edition of Bilder and Loughins Analysis of Categorical Data with R by CRC Press; so when the opportunity came along to peruse the second (2024) edition, I was delighted. The nl“H