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Learn How to Properly Analyze Categorical DataAnalysis of Categorical Data with Rpresents a modern account of categorical data analysis using the popular R software

  • Analysis of Categorical Data with R available on January 17 2018 from ECampus for 87.70
  • Analysis Of Categorical Data With R available on March 26 2017 from Indigo for 141.4
  • ISBN bar code 9781439855676 ξ1 registered July 21 2013
  • ISBN bar code 9781439855676 ξ2 registered March 26 2017
  • Product category is Book

  • # 9781439855676N
  • # 978143985567

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 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.

    ^ (2013). Analysis of Categorical Data with R ECampus. (revised Jan 2018)
    ^ Analysis Of Categorical Data With R Indigo. (revised Mar 2017)

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