Discrete Data Analysis With R : Visualization A... (2026)

For additional resources, the authors maintain a dedicated book website where you can find data sets and R scripts used throughout the text.

: Emphasizes visualizing, understanding, and communicating results rather than purely theoretical proofs.

: Directly supported by the R packages vcd and vcdExtra , which are used for creating complex categorical data visualizations like mosaic plots. Discrete Data Analysis with R : Visualization a...

: Techniques for Poisson, Binomial, and Negative Binomial distributions.

Published in December 2015 as part of the Chapman & Hall/CRC Texts in Statistical Science series, the book provides an applied approach to modern graphical and modeling methods for categorical data. It is specifically designed to help readers translate statistical theory into practical applications using R. Key Features For additional resources, the authors maintain a dedicated

: Logistic regression and generalized linear models. Publication Details Information Authors Michael Friendly, David Meyer Publisher CRC Press Pages ISBN-13 978-1498725835

: Includes lab exercises at the end of each chapter, making it suitable for both classroom use and self-study. Content : Covers a wide range of topics, including: : Techniques for Poisson, Binomial, and Negative Binomial

: Methods for two-way and multi-way tables.