Description
An Applied Treatment of Modern Graphical Methods for Analyzing Categorical DataDiscrete 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 meth
Table of Contents
Getting Started: Introduction. Working with Categorical Data. Fitting and Graphing Discrete Distributions. Exploratory and Hypothesis-Testing Methods: Two-Way Contingency Tables. Mosaic Displays for n-Way Tables. Correspondence Analysis. Model-Building Methods: Logistic Regression Models. Models for Polytomous Responses. Loglinear and Logit Models for Contingency Tables. Extending Loglinear Models. Generalized Linear Models for Count Data.
