Statistical Analysis and Data Display : An Intermediate Course with Examples in R

This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data--showing code, graphics, and accompanying tabular listings--for all the methods they cover. Complete R scripts for all examples and figures are provided for readers to use as models for their own analyses. This book can serve as a standalone text for statistics majors at the master's level and for other quantitatively oriented disciplines at the doctoral level, and as a reference book for researchers. Classical concepts and techniques are illustrated with a variety of case studies using both newer graphical tools and traditional tabular displays. New graphical material includes: an expanded chapter on graphics a section on graphing Likert Scale Data to build on the importance of rating scales in fields from population studies to psychometrics a discussion on design of graphics that will work for readers with color-deficient vision an expanded discussion on the design of multi-panel graphics expanded and new sections in the discrete bivariate statistics capter on the use of mosaic plots for contingency tables including the n 2 2 tables for which the Mantel-Haenszel-Cochran test is appropriate an interactive (using the shiny package) presentation of the graphics for the normal and t-tables that is introduced early and used in many chapters