Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data
Michael L. Friendly, DAVID A. MEYER, Achim Zeileis · 2015
Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical methods for exploring data, spotting unusual features, visualizing fitted models, and presenting results.The book is designed for advanced undergraduate and graduate students in the social and health sciences, epidemiology, economics, business, statistics, and biostatistics as well as researchers, methodologists, and consultants who can use the methods with their own data and analyses. It can be used for self-study, as the primary textbook for a course in categorical data analysis, or as a supplementary text for such a course.