This text explores the use of R for classical statistical analysis. The first half of the book introduces R, data manipulation and visualization, statistical models, graphics, and R programming. The second half presents various statistical analysis techniques by first introducing the data example, then describing the problem to solve, and finally conducting the analysis using R. This example-based approach enables readers to replicate the analyses using their own data. Some of the techniques covered include simple regression, multiple regression, ANOVA, logistic regression, principal component analysis, and clustering.
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Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, ric Matzner-Lober, Laurent Rouvière
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Octavo, paperback,306 pp.,black and white illustrations, graphs, tables. Organized into two sections, the book focuses first on the R software, then on the implementation of traditional statistical methods with R. Accessible to novices and experts alike, this text is a clear and enjoyable resource for any scientist. N° de réf. du vendeur 34927
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