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Statistical Analysis and Data Display: An Intermediate Course with Examples in R (Springer Texts in Statistics)
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About Statistical Analysis And Data Display: An
Product Description 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 graphicsa section on graphing Likert Scale Data to build on the importance of rating scales in fields from population studies to psychometricsa discussion on design of graphics that will work for readers with color-deficient visionan expanded discussion on the design of multi-panel graphicsexpanded 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 appropriatean interactive (using the shiny package) presentation of the graphics for the normal and t-tables that is introduced early and used in many chapters Review “It is a thorough and self-contained book. Keeping with the spirit with earlier edition, the second edition is well organized and structured and builds on statistical knowledge and its appreciation in a logical and concise manner. The book provides a host of useful topics and techniques for students in the niche of statistical analysis and data display. The book can adopted as textbook for an intermediate level statistics course.” (S. E. Ahmed, Technometrics, Vol. 58 (3), August, 2016) From the Back Cover 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. They emphasize how to construct andinterpret graphs. They discuss principles of graphical design. Theyidentify situations where visual impressions from graphs may needconfirmation from traditional tabular results. All chapters haveexercises.The authors provide and discuss R functions for all the new graphicaldisplay formats. All graphs and tabular output in the book wereconstructed using these functions. 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. In-depthdiscussions of regression analysis, analysis of variance, and designof experiments are followed by introductions to analysis of discretebivariate data, nonparametrics, logistic regression, and ARIMA timeseries modeling. The authors illustrate classical concepts andtechniques with a variety of case studies using both newer graphicaltools and traditional tabular displays.The Second Edition features graphs that are completely redrawn usingthe more powerful graphics infrastructure provided by R's latticepackage. There are new sections in several of the chapters, revisedsections in all chapters and several completely new appendices.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 graphi
