Discrete Data Analysis With R : Visualization A... Apr 2026

: 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:

: Methods for two-way and multi-way tables. Discrete Data Analysis with R : Visualization a...

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

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 : Logistic regression and generalized linear models

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

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

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