[R] for Statistics (Record no. 715)
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000 -LEADER | |
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fixed length control field | 02137nam a2200253 a 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 1439881456 (paperback) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781439881453 (paperback) |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 310 Cornillon 27670 1/e 2012 Statistics |
100 1# - MAIN ENTRY--AUTHOR NAME | |
Personal name | Cornillon, Pierre-Andre |
245 10 - TITLE STATEMENT | |
Title | [R] for Statistics |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | USA: |
Name of publisher | Chapman and Hall/CRC; |
Year of publication | 2012. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | 320 p. ; |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Statistics, |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Guyader, Arnau |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Husson, Francoi |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Jegou, Nicola |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Josse, Juli |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Kloareg, Mael |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Matzner-Lober, Eri |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Rouvière, Laure |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Books |
Collection code | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition | Full call number | Accession Number | Koha item type |
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Social Science | UVAS Library | UVAS Library | Statistics | 2015-04-02 | purchase | 310 Cornillon 27670 1/e 2012 Statistics | 27670 | Books |