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