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

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. Publication Details Information Authors Michael Friendly, David Meyer Publisher CRC Press Pages ISBN-13 978-1498725835 Discrete Data Analysis with R : Visualization a...

: Emphasizes visualizing, understanding, and communicating results rather than purely theoretical proofs. Published in December 2015 as part of the

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

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.