Analysis of Categorical Data with R / Edition 1

The second edition is a substantial update of the first based on the authors’ experience of teaching from the book for nearly a decade. The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chapter – group testing and splines. The computing has been completely updated, with the emmeans [CB1] package now integrated into the book. The examples have also been updated, notably to include new examples based on COVID-19, and there are more than 90 new exercises in the book. The solutions manual and teaching videos have also been updated. is primarily designed for a course on categorical data analysis taught at the advanced undergraduate or graduate level. Such a course could be taught in a statistics or biostatistics department, or within mathematics, psychology, social science, ecology, or another quantitative discipline. It could also be used by a self-learner, and would make an ideal reference for a researcher from any discipline where categorical data arise.