Analysis of Categorical Data with R

... a valuable asset to any person who wants to analyze categorical data. Bilder and Loughin demystify categorical data analysis using a simple approach, with enough statistical theory to allow the reader to understand the underlying assumptions of the analyses involved, but with minimal, unintimidating mathematical symbols, and equations. The authors have managed to explain the statistics involved in categorical data analysis in unadorned semantics and accompanied them with corresponding R codes ... . This is a major plus for this book. Overall, the book is well written: It contains easy-to-follow R codes, footnote explanations of material that could not be explained within the text, and plenty of exercises at the end of each chapter. ... Excellent videos of Bilder teaching the material in class, full R codes, and corresponding data, each arranged by chapter, are available on a website. These resources make it easy for readers to acquire a deeper understanding of categorical data analysis. ... This book is a must-have tool for any biostatistician analyzing categorical data in R. It could very well be used as a text in intermediate-to-advanced applied courses in practical analysis of categorical data. -Biometrical Journal, 2014 Bilder and Loughin have worked as a dynamic duo for a number of years, and they clearly are blending their knowledge, talents, experience, and teamwork to create this valuable book. Analyzing categorical data correctly and in-depth is not as simple as it appears in many courses and textbooks. As a result, many people can get the wrong idea about what could and should be done with categorical data, and hence their results can be inconclusive or incorrect. This book gives users the full scoop when it comes to analyzing categorical data of all types, and it does so in an easy-to-understand way, giving confidence to the reader to go ahead and apply the ideas in practice. The use of R for analyzing data is becoming a worldwide phenomenon and a staple for data analysts on every level. As its popularity grows, it becomes critical for beginners to become comfortable with understanding and using R to analyze their data. Through the special attention paid to teaching the basics of R, as well as providing step-by-step particulars in using R in each separate analysis, Bilder and Loughin help establish and promote a group of confident, comfortable users of this software that can seem a mystery to many. I highly and happily recommend this book to anyone who plans to analyze categorical data in their careers-which includes most all of us! -Deborah J. Rumsey, PhD, Auxiliary Professor and Statistics Education Specialist, Department of Statistics, The Ohio State University