R for Statistics (Hardcover)

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 processing Clear, concise visualization of results, using simple and complex graphs Programming 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 methods Analyses of variance and covariance Classification methods Exploratory multivariate analysis Clustering methods Hypothesis 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 at http://www.agrocampus-ouest.fr/math/RforStat

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	September 2017
First published:	2012
Authors:	Pierre-Andre Cornillon • Arnaud Guyader • Francois Husson • Nicolas Jegou • Julie Josse • Maela Kloareg • Eric Matzner-Lober • Laurent Rouviere
Dimensions:	234 x 156 x 23mm (L x W x T)
Format:	Hardcover
ISBN-13:	978-1-138-46934-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	1-138-46934-3
Barcode:	9781138469341

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