ANALYSIS OF CATEGORICAL DATA WITH R.
Language: English
Published by CRC Press, Boca Raton, 2015
Series: Book 33 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Hardcover
- Used





Seller: Second Story Books, ABAA, Rockville, MD, U.S.A.Second Story Books, ABAA
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Small Quarto, x, xiii, 533 pages. In Very Good condition. Bound in the publisher's red, pink and black cloth bearing white lettering to the spine. Boards have very light wear including mild soiling and light edge wear. Previous bookshop's sticker to the rear. Text block has minimal wear. Illustrated. Oversized book(s). Additional postage necessary for expedited/international orders. Economy International shipping unavailable due to size/weight restrictions. For international/expedited customers, please inquire about rates. NOTE: Shelved in Netdesk Column K (ND-K). 1395269. FP New Rockville Stock.
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- Title
- ANALYSIS OF CATEGORICAL DATA WITH R.
- Author
- Bilder, Christopher R. and Loughlin, Thomas M.
- Publisher
- CRC Press, Boca Raton
- Publication year
- 2015
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1439855676
- ISBN 13
- 9781439855676
- Series
- Book 33 of 126: Chapman & Hall/CRC Texts in Statistical Science
- Seller catalogs
- Sciences, Math, Medicine, & Natural History
Learn How to Properly Analyze Categorical DataAnalysis 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 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 ToolRequiring no prior experience with R, the text offers an introduction to the essential features and functions of R. It incorporates 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 then to evaluate the procedure’s performance. They also present many graphical demonstrations of the features and properties of various analysis methods.
Web ResourceThe 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.
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