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R for Statistics

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by Pierre-Andre Cornillon & Arnaud Guyader & Francois Husson
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R for Statistics by Pierre-Andre Cornillon & Arnaud Guyader & Francois Husson

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

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Ebook Details
Pages: 320
Size: 10.3 MB
Publisher: CRC Press
Date published:   2012
ISBN: 9781439881460 (DRM-PDF)

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Nonfiction > Mathematics > Probability & Statistics

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Nonfiction > Mathematics > Probability & Statistics

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