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 therapy of contemporary strategies for the evaluation of categorical knowledge, each discrete response knowledge and frequency knowledge. It describes learn how to use graphical strategies for exploring knowledge, finding uncommon options, visualizing fitted fashions, and presenting outcomes.
The book 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 reveal the sensible software of the strategies to a lot of substantive issues, together with learn how to manage knowledge, conduct an evaluation, create informative graphs, and analyze what the charts reveal in regards to the knowledge.
The first a part of the book contains introductory materials on graphical strategies for discrete knowledge, primary R abilities, and plans for becoming and visualizing one-manner discrete distributions. The second half emphasises on easy, conventional nonparametric checks and exploratory strategies for visualizing patterns of affiliation in two-manner and bigger frequency tables. The final part of the textbook discusses mannequin-primarily based strategies for the evaluation of discrete knowledge.
NOTE: The product contains the book, Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data in PDF. Access codes are usually not included.