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

: 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.

: Techniques for Poisson, Binomial, and Negative Binomial distributions. Discrete Data Analysis with R : Visualization a...

: 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. : Includes lab exercises at the end of

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

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

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