A handbook of statistical analyses using R

By Brian Everitt

Subjects: Matematisk statistik, Statistics as Topic, Guides, manuels, Qa276.45.r3 e94 2006, R (computerprogramma), MATHEMATICS, R, Qa276.45.r3 e94 2010, Handbooks, manuals, etc, Statistical Data Interpretation, General, Programming languages (electronic computers), R (Computer program language), Statistische methoden, Programming Languages, Statistische Analyse, Mathematical computing, Handböcker, manualer, Data interpretation, statistical, Applied, Statistiques, R (Langage de programmation), Programming languages (Electronic computers), Qa 276.45, Mathematical statistics--data processing--handbooks, manuals, etc, Statistisk metod, Informatique, Mathematical Computing, Software, R (computer program language), Statistique mathématique, Probability & Statistics, Langages de programmation, Mathematical statistics, Data processing, 519.50285/5133, Data interpretation, statistical [mesh], Databehandling, Handbooks, manuals, Mathematical statistics--data processing, R (computer program language)--handbooks, manuals, etc, Statistics

Description: This book presents straightforward, self-contained descriptions of how to perform a variety of statistical analyses in the R environment. From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead you methodically through the steps, commands, and interpretation of the results, addressing theory and statistical background only when useful or necessary. They begin with an introduction to R, discussing the syntax, general operators, and basic data manipulation while summarizing the most important features. Numerous figures highlight R's strong graphical capabilities and exercises at the end of each chapter reinforce the techniques and concepts presented. All data sets and code used in the book are available as a downloadable package from CRAN, the R online archive.