Pierre-Andre Cornillon; Arnaud Guyader; Francois Husson; Nicolas Jegou; Julie Josse; Maela Kloareg; Eric Matzner-Lober Taylor & Francis Inc (2012) Pehmeäkantinen kirja
Pierre-Andre Cornillon; Arnaud Guyader; Francois Husson; Nicolas Jegou; Julie Josse; Maela Kloareg; Eric Matzner-Lober Taylor & Francis Ltd (2017) Kovakantinen kirja
Taylor & Francis Inc Sivumäärä: 320 sivua Asu: Pehmeäkantinen kirja Painos: 1 Julkaisuvuosi: 2012, 21.03.2012 (lisätietoa) Kieli: Englanti
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
