Statistical Analysis and Data Display

This contemporary presentation of statistical methods featuresextensive use of graphical displays for exploring data and fordisplaying the analysis. The authors demonstrate how to analyzedata-showing code, graphics, and accompanying tabular listings-forall the methods they cover. Complete R scripts for all examplesand figures are provided for readers to use as models for their ownanalyses. This book can serve as a standalone text for statistics majors at themaster's level and for other quantitatively oriented disciplines atthe doctoral level, and as a reference book for researchers. Classical concepts andtechniques are illustrated with a variety of case studies using both newer graphicaltools 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 ofrating scales in fields from population studies to psychometrics a discussion on design of graphics that will work for readers withcolor-deficient vision an expanded discussion on the design of multi-panel graphics expanded and new sections in the discrete bivariate statistics capteron the use of mosaic plots for contingency tables including the n22tables for which the Mantel-Haenszel-Cochran test is appropriate an interactive (using the shiny package) presentation of the graphicsfor the normal and t-tables that is introduced early and used in manychapters