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R for Statistics
François Husson
(Author)
·
Pierre-Andre Cornillon
(Author)
·
Arnaud Guyader
(Author)
·
CRC Press
· Hardcover
R for Statistics - Cornillon, Pierre-Andre ; Guyader, Arnaud ; Husson, Francois
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Synopsis "R for Statistics"
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
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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