Learn How to Properly Analyze Categorical Data Analysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software It covers recent techniques of model building & assessment for binary multicategory & count response variables & discusses fundamentals such as odds ratio & probability estimation The authors give detailed advice & guidelines on which procedures to use & why to use them The Use of R as Both a Data Analysis Method & a Learning Tool Requiring no prior experience with R the text offers an introduction to the essential features & functions of R It incorporates numerous examples from medicine psychology sports ecology & other areas along with extensive R code & output The authors use data simulation in R to help readers understand the underlying assumptions of a procedure & then to evaluate the procedure's performance They also present many graphical demonstrations of the features & properties of various analysis methods Web Resource The data sets & R programs from each example are available at wwwchrisbildercomcategorical The programs include code used to create every plot & piece of output Many of these programs contain code to demonstrate additional features or to perform more detailed analyses than what is in the text Designed to be used in tandem with the book the website also uniquely provides videos of the authors teaching a course on the subject These videos include live in-class recordings which instructors may find useful in a blended or flipped classroom setting The videos are also suitable as a substitute for a short course