A handbook of statistical analyses using R

By Brian Everitt

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

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.