Beginning R: An Introduction to Statistical Programming

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Beginning R, Second Edition has been updated to cover R version 3.0 or latest iteration of it. It is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. This book shows the use of R in specific use cases such as simulations, discrete probability solutions, one-way ANOVA analysis, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has eclipsed S and the commercially-available S-Plus language, and has become the de facto standard for doing, teaching, and learning computational statistics. R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets. R is also becoming adopted into commercial tools such as Oracle Database. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for statistical exploration and research.