From the reviews:
“This book is an example-driven introduction to both R as a programming environment and widely used statistical concepts such as regression, ANOVA, Bayesian modeling, and randomization and simulation experiments. ... The book is an excellent addition to the lecture notes for undergraduate and master students as well as a reliable source of examples for lecturers. The exercises presented in parallel with the theoretical aspects guide the reader in an efficient way through the statistical methods.” (Irina Ioana Mohorianu, zbMATH, Vol. 1275, 2014)This example-based general introduction to the statistical computing environment does not assume any previous familiarity with R or other software packages. R functions are compellingly presented in the context of interesting applications with real data.
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