Analysis of Categorical Data with R (Chapman & Hall/CRC Texts in Statistical Science)
Publisher: CRC Press, August 4, 2014.
Edition: First
Book Condition: New
Binding: Hardcover
ISBN: 9781439855676
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 and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratios and probability estimation. The authors provide detailed advice and guidelines on which procedures to use and why.
The Use of R as Both a Data Analysis Method and a Learning Tool
Requiring no prior experience with R, the text offers an introduction to its essential features and functions. It includes numerous examples from medicine, psychology, sports, ecology, and other areas, along with extensive R code and output. The authors use data simulation in R to help readers understand the underlying assumptions of a procedure and evaluate its performance. They also present many graphical demonstrations of the features and properties of various analysis methods.
Web Resource
The datasets and R programs for each example are available at www.chrisbilder.com/categorical. The programs include code used to create every plot and 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.
From the Author
- 122 examples
- 77 programs with >11,000 lines of code
- 67 pages of exercises
- 30 hours of instructional videos
- 2 case studies
Price: $79.97