{"product_id":"statistical-analysis-and-data-display-an-intermediate-course-with-examples-in-r-9781493979684","title":"Statistical Analysis and Data Display: An Intermediate Course with Examples in R","description":"\u003cp\u003e • Author(s): Richard M. Heiberger\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis contemporary presentation of statistical methods features\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eextensive use of graphical displays for exploring data and for\u003c\/p\u003e\u003cp\u003edisplaying the analysis. The authors demonstrate how to analyze\u003c\/p\u003e\u003cp\u003edata--showing code, graphics, and accompanying tabular listings--for\u003c\/p\u003e\u003cp\u003eall the methods they cover. They emphasize how to construct and\u003c\/p\u003e\u003cp\u003einterpret graphs. They discuss principles of graphical design. They\u003c\/p\u003e\u003cp\u003eidentify situations where visual impressions from graphs may need\u003c\/p\u003e\u003cp\u003econfirmation from traditional tabular results. All chapters have\u003c\/p\u003e\u003cp\u003eexercises.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe authors provide and discuss R functions for all the new graphical\u003c\/p\u003e\u003cp\u003edisplay formats. All graphs and tabular output in the book were\u003c\/p\u003e\u003cp\u003econstructed using these functions. Complete R scripts for all examples\u003c\/p\u003e\u003cp\u003eand figures are provided for readers to use as models for their own\u003c\/p\u003e\u003cp\u003eanalyses.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book can serve as a standalone text for statistics majors at the\u003c\/p\u003e\u003cp\u003emaster's level and for other quantitatively oriented disciplines at\u003c\/p\u003e\u003cp\u003ethe doctoral level, and as a reference book for researchers. In-depth\u003c\/p\u003e\u003cp\u003ediscussions of regression analysis, analysis of variance, and design\u003c\/p\u003e\u003cp\u003eof experiments are followed by introductions to analysis of discrete\u003c\/p\u003e\u003cp\u003ebivariate data, nonparametrics, logistic regression, and ARIMA time\u003c\/p\u003e\u003cp\u003eseries modeling. The authors illustrate classical concepts and\u003c\/p\u003e\u003cp\u003etechniques with a variety of case studies using both newer graphical\u003c\/p\u003e\u003cp\u003etools and traditional tabular displays.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe Second Edition features graphs that are completely redrawn using\u003c\/p\u003e\u003cp\u003ethe more powerful graphics infrastructure provided by R's lattice\u003c\/p\u003e\u003cp\u003epackage. There are new sections in several of the chapters, revised\u003c\/p\u003e\u003cp\u003esections in all chapters and several completely new appendices.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eNew graphical material includes: \u003c\/p\u003e\u003cp\u003e- an expanded chapter on graphics;\u003c\/p\u003e\u003cp\u003e- a section on graphing Likert Scale Data to build on the importance of\u003c\/p\u003e\u003cp\u003erating scales in fields from population studies to psychometrics;\u003c\/p\u003e\u003cp\u003e- a discussion on design of graphics that will work for readers with\u003c\/p\u003e\u003cp\u003ecolor-deficient vision;\u003c\/p\u003e\u003cp\u003e- an expanded discussion on the design of multi-panel graphics;\u003c\/p\u003e\u003cp\u003e- expanded and new sections in the discrete bivariate statistics chapter\u003c\/p\u003e\u003cp\u003eon the use of mosaic plots for contingency tables including the n×2×2\u003c\/p\u003e\u003cp\u003etables for which the Mantel-Haenszel-Cochran test is appropriate;\u003c\/p\u003e\u003cp\u003e- an interactive (using the shiny package) presentation of the graphics\u003c\/p\u003e\u003cp\u003efor the normal and t-tables that is introduced early and used in many\u003c\/p\u003e\u003cp\u003echapters.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe new appendices include discussions of R, the HH package\u003c\/p\u003e\u003cp\u003edesigned for R (the material in the HH package was distributed as a\u003c\/p\u003e\u003cp\u003eset of standalone functions with the First Edition of this book), the\u003c\/p\u003e\u003cp\u003eR Commander package, the RExcel system, the shiny package, and a\u003c\/p\u003e\u003cp\u003eminimal discussion on writing R packages. There is a new appendix on\u003c\/p\u003e\u003cp\u003ecomputational precision illustrating and explaining the FAQ\u003c\/p\u003e\u003cp\u003e(Frequently Asked Questions) about the differences between the\u003c\/p\u003e\u003cp\u003efamiliar real number system and the less-familiar floating point\u003c\/p\u003e\u003cp\u003esystem used in computers. The probability distributions appendix has\u003c\/p\u003e\u003cp\u003ebeen expanded to include more distributions (all the distributions in\u003c\/p\u003e\u003cp\u003ebase R) and to include graphs of each. The editing appendix from the\u003c\/p\u003e\u003cp\u003eFirst Edition has been split into four expanded appendices--on working\u003c\/p\u003e\u003cp\u003estyle, writing style, use of a powerful editor, and use of LaTeX for\u003c\/p\u003e\u003cp\u003edocument preparation.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45276726755479,"sku":"9781493979684","price":8369.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781493979684.webp?v=1769286465","url":"https:\/\/atlanticbooks.com\/products\/statistical-analysis-and-data-display-an-intermediate-course-with-examples-in-r-9781493979684","provider":"Atlantic Books","version":"1.0","type":"link"}