000			02336 a2200265 4500
005			20250325151330.0
008			181113b xxu||||| |||| 00| 0 eng d
020			_a9781498725835
040			_cIIT Kanpur
041			_aeng
082			_a519.50285 _bF915d
100			_aFriendly, Michael
245			_aDiscrete data analysis with R _bvisualization and modeling techniques for categorical and count data _cMichael Friendly, David Meyer and Achim Zeileis
260			_aBoca Raton _bCRC Press _c2016
300			_axvii,544p
440			_aTexts in statistical science
500			_aIncludes bibliographical references and index
520			_aAn Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical methods for exploring data, spotting unusual features, visualizing fitted models, and presenting results. The book is designed for advanced undergraduate and graduate students in the social and health sciences, epidemiology, economics, business, statistics, and biostatistics as well as researchers, methodologists, and consultants who can use the methods with their own data and analyses. Along with describing the necessary statistical theory, the authors illustrate the practical application of the techniques to a large number of substantive problems, including how to organize data, conduct an analysis, produce informative graphs, and evaluate what the graphs reveal about the data. The first part of the book contains introductory material on graphical methods for discrete data, basic R skills, and methods for fitting and visualizing one-way discrete distributions. The second part focuses on simple, traditional nonparametric tests and exploratory methods for visualizing patterns of association in two-way and larger frequency tables. The final part of the text discusses model-based methods for the analysis of discrete data.
650			_aMathematics -- Data processing
650			_aR (Computer program language)
650			_aStatistics
700			_aMeyer, David
700			_aZeileis, Achim
942			_cBK
999			_c559729 _d559729