Analysis of Categorical Data with R

Book Description

Learn How to Properly Analyze Categorical Data
Analysis of Categorical Data with R presents a modern account of categorical using the popular R . It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines 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 prior experience with R, the text offers an introduction to the essential features and of R. It incorporates numerous examples from medicine, psychology, sports, ecology, and other areas, along with extensive R and output. The authors use data simulation in R to help readers understand the underlying assumptions of a procedure and then to evaluate the procedure’s . They also present many demonstrations of the features and properties of various analysis methods.

Web Resource
The data sets and R programs from 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.

Book Details

File HostFree Download LinkFormatSize (MB)Upload Date
NitroFlare Click to downloadTrue PDF4.203/12/2019
UsersCloud Click to downloadTrue PDF4.203/12/2019
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