Discrete Data Analysis With R : Visualization | A...

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

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

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

: 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:

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

The text you are referring to is , a comprehensive textbook authored by Michael Friendly and David Meyer . Book Overview

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.