Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data – PDF

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data (PDF) presents an utilized remedy of recent strategies for the evaluation of categorical knowledge, each discrete response knowledge and frequency knowledge. It describes the right way to use graphical strategies for exploring knowledge, finding uncommon options, visualizing fitted fashions, and presenting outcomes. The ebook is designed for superior undergraduate and graduate college students within the social and well being sciences, epidemiology, economics, statistics, enterprise, and biostatistics, collectively with researchers, methodologists, and consultants who can use the strategies with their very own knowledge and analyses. Along with describing the mandatory statistical principle, the authors display the sensible software of the methods to numerous substantive issues, together with the right way to arrange knowledge, conduct an evaluation, create informative graphs, and analyze what the charts reveal concerning the knowledge. The first a part of the ebook consists of introductory materials on graphical strategies for discrete knowledge, fundamental R abilities, and plans for becoming and visualizing one-approach discrete distributions. The second half emphasises on easy, conventional nonparametric assessments and exploratory strategies for visualizing patterns of affiliation in two-approach and bigger frequency tables. The final part of the textbook discusses mannequin-based mostly strategies for the evaluation of discrete knowledge. NOTE: The product consists of the ebook, Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data in PDF. Access codes should not included.