Analysis of Categorical Data with R by Christopher R. Bilder – eBook


eBook details

  • Authors: Christopher R. Bilder, Thomas M. Loughin
  • File Size: 5 MB
  • Format: PDF
  • Length: 547 pages
  • Series: Chapman & Hall/CRC Texts in Statistical Science
  • Publisher: Chapman and Hall/CRC
  • Publication Date: August 11, 2014
  • Language: English
  • ISBN-10: 1439855676
  • ISBN-13: 9781439855676
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Learn How to Correctly Analyze Categorical Data

Analysis of Categorical Data with R (PDF) presents a modern account of categorical data analysis using the popular R software. It includes recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, like odds ratio and probability estimation. The authors give detailed advice and standards on which procedures to use and why to use them.

The Use of R as Both a Data Analysis Method and a Learning Tool

Requiring no previous experience with R, the text provides an introduction to the vital features and functions of R. It includes numerous examples from medicine, psychology, ecology, sports and other areas, together with extensive R code and output. The authors use data simulation in R to assist readers understand the underlying assumptions of a procedure and then to analyse the procedure’s performance. They also provide many graphical demonstrations of the features and properties of various analysis methods.

Web Resource
The data sets and R programs from each example are accessible at The programs include code used to make every plot and piece of output. Many of these programs include code to show additional features or to perform more detailed analyses than what is in the text. Designed to be used in tandem with the ebook, the website also exceptionally provides videos of the authors teaching a course on the subject. These videos incorporate live, in-class recordings, which instructors may find useful in a blended or flipped classroom setting. The videos are also suitable as a replacement for a short course.