[R] for Statistics
By: Cornillon, Pierre-Andre
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Contributor(s): Guyader, Arnau | Husson, Francoi | Jegou, Nicola | Josse, Juli | Kloareg, Mael | Matzner-Lober, Eri | Rouvière, Laure.
Material type: 
BookPublisher: USA: Chapman and Hall/CRC; 2012Edition: 1st ed.Description: 320 p.ISBN: 1439881456 (paperback); 9781439881453 (paperback).Subject(s): StatisticsDDC classification: 310 Cornillon 27670 1/e 2012 Statistics 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 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/RforSta
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books
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UVAS Library Statistics | Social Science | 310 Cornillon 27670 1/e 2012 Statistics (Browse shelf) | Checked out to Mr. Haroon Akbar (2011-uvas-113) | 13/02/2021 | 27670 |
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/RforSta
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