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R for Statistics, Paperback / softback Book


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 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 methodsAnalyses of variance and covariance Classification methodsExploratory multivariate analysis Clustering 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 at http://www.agrocampus-ouest.fr/math/RforStat


  • Format: Paperback / softback
  • Pages: 320 pages, 8 Tables, black and white; 89 Illustrations, black and white
  • Publisher: Taylor & Francis Ltd
  • Publication Date:
  • Category: Mathematical & statistical software
  • ISBN: 9781439881453

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