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

: 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:

: Emphasizes visualizing, understanding, and communicating results rather than purely theoretical proofs. Discrete Data Analysis with R : Visualization a...

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

: Techniques for Poisson, Binomial, and Negative Binomial distributions. It is specifically designed to help readers translate

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

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