Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 33000000000861 | QA276.45.R3 S743 2012 | Open Access Book | Book | Searching... |
Searching... | 30000010301154 | QA276.45.R3 S743 2012 | Open Access Book | Book | Searching... |
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Summary
Summary
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 functionsThe 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 testsAfter 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