Analysis of Categorical Data with R Hardback
by Christopher R. Bilder, Thomas M. (Simon Fraser University Simon Fraser University Simon Fraser University Simon Fr Loughin
Part of the Chapman & Hall/CRC Texts in Statistical Science series
Hardback
Description
Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment.
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 second edition is a substantial update of the first based on the authors’ experience of teaching from the book for nearly a decade.
The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chapter – group testing and splines.
The computing has been completely updated, with the emmeans [CB1] package now integrated into the book.
The examples have also been updated, notably to include new examples based on COVID-19, and there are more than 90 new exercises in the book.
The solutions manual and teaching videos have also been updated. Features:Requires no prior experience with R, and offers an introduction to the essential features and functions of RNumerous examples from medicine, psychology, sports, ecology, and many other areasExtensive integrated R code and outputMany graphical demonstrations of the features and properties of various analysis methodsSubstantial number of exercises in all chapters, enabling use as a course text or for self-studySupplemented by a website with datasets, code, and teaching videosAnalysis of Categorical Data with R, Second Edition is primarily designed for a course on categorical data analysis taught at the advanced undergraduate or graduate level.
Such a course could be taught in a statistics or biostatistics department, or within mathematics, psychology, social science, ecology, or another quantitative discipline.
It could also be used by a self-learner, and would make an ideal reference for a researcher from any discipline where categorical data arise.
Information
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Pre-Order
- Format:Hardback
- Pages:712 pages, 52 Tables, black and white; 86 Line drawings, black and white; 86 Illustrations, black an
- Publisher:Taylor & Francis Ltd
- Publication Date:18/07/2024
- Category:
- ISBN:9780367553234
Other Formats
- Hardback from £105.00
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Information
-
Pre-Order
- Format:Hardback
- Pages:712 pages, 52 Tables, black and white; 86 Line drawings, black and white; 86 Illustrations, black an
- Publisher:Taylor & Francis Ltd
- Publication Date:18/07/2024
- Category:
- ISBN:9780367553234
