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

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

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

: 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...

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

: 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: For additional resources, the authors maintain a dedicated

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

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

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