(Ebook) R for Statistics by Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, Eric Matzner-Lober, Laurent Rouvière ISBN 9781439881453, 1439881456

(Ebook) R for Statistics by Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, Eric Matzner-Lober, Laurent Rouvière ISBN 9781439881453, 1439881456

Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics includes a number of expanded and additional worked examples.Organized into two sections, the book focuses first on the R software, then on the implementation of traditional statistical methods with R.Focusing on the R software, the first section covers: Basic elements of the R software and data processingClear, concise visualization of results, using simple and complex graphsProgramming basics: pre-defined and user-created functions The second section of the book presents R methods for a wide range of traditional statistical data processing techniques, including: Regression methodsAnalyses of variance and covarianceClassification methodsExploratory multivariate analysisClustering methodsHypothesis tests After a short presentation of the method, the book explicitly details the R command lines and gives commented results. Accessible to novices and experts alike, R for Statistics is a clear and enjoyable resource for any scientist.Datasets and all the results described in this book are available on the book’s webpage athttp://www.agrocampus-ouest.fr/math/RforStat