Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data

Michael Friendly, David Meyer

VitalSource eBook access code and instructions will be provided within the print book.

December 17, 2015 by Chapman and Hall/CRC
Textbook - 544 Pages - 257 Color Illustrations
ISBN 9781498725835 - CAT# K25797
Series: Chapman & Hall/CRC Texts in Statistical Science


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  • Provides an accessible introduction to the major methods of categorical data analysis for data exploration, statistical testing, and statistical models
  • Emphasizes computing, visualizing, understanding, and communicating the results of the analyses
  • Helps students translate theory into practical application by developing their skills and providing software tools for carrying out the methods
  • Includes many examples using real data, which are often treated from several perspectives
  • Contains lab exercises that encourage students to work through applications of the methods, making the book suitable for classroom use and self-study
  • Offers the data sets and R code on a supplementary website

An instructor’s manual and figure slides are available upon qualifying course adoption.


An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data

Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical methods for exploring data, spotting unusual features, visualizing fitted models, and presenting results.

The book is designed for advanced undergraduate and graduate students in the social and health sciences, epidemiology, economics, business, statistics, and biostatistics as well as researchers, methodologists, and consultants who can use the methods with their own data and analyses. Along with describing the necessary statistical theory, the authors illustrate the practical application of the techniques to a large number of substantive problems, including how to organize data, conduct an analysis, produce informative graphs, and evaluate what the graphs reveal about the data.

The first part of the book contains introductory material on graphical methods for discrete data, basic R skills, and methods for fitting and visualizing one-way discrete distributions. The second part focuses on simple, traditional nonparametric tests and exploratory methods for visualizing patterns of association in two-way and larger frequency tables. The final part of the text discusses model-based methods for the analysis of discrete data.

Web Resource
The data sets and R software used, including the authors’ own vcd and vcdExtra packages, are available at http://cran.r-project.org.