書籍分類
Analysis of Categorical Data with R
作者：Christopher R. Bilder,Thomas M. Loughin
原價：NT$ 1,500
ISBN：9781439855676
版次：1
年份：2015
出版商：Taylor & Francis
頁數/規格：533頁/精裝單色
版次：1
年份：2015
出版商：Taylor & Francis
頁數/規格：533頁/精裝單色
內容介紹 本書特色 目錄
- Description
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 ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them. They use data simulation, plots, and other tools in R to help readers understand the underlying assumptions of a procedure and then to evaluate the procedure's performance.
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 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 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.
