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R for Statistics.
・ISBN 978-1-138-46934-1 2017 hard GB£ 235.00
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電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-0-429-08639-7
| 著者・編者 | Cornillon, Pierre-Andre, |
|---|---|
| 出版社 | (CRC Press, UK) |
| ページ数 | 320 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-12213＞ |
解説
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