The R Book

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The high-level language of R is one of the most powerful and flexible statistical software environments, rapidly becoming the standard for quantitative analysis, statistics, and graphics. R offers free access to extensive applications, enabling users to apply various statistical methods from simple regression to time series and multivariate analysis. Building on the success of the author's previous work, this comprehensive guide is filled with worked examples, making it suitable for both novice and experienced users. It assumes no prior knowledge of statistics or computing, introducing the advantages of R and its applications across various disciplines. The book serves as a comprehensive reference manual for the R language, offering practical guidance and full coverage of graphics facilities. It covers all statistical models available in R, starting with basic tests like chi-square and t-tests, and advancing to regression, analysis of variance, generalized linear models, mixed models, time series, spatial statistics, and multivariate statistics. This resource is aimed at undergraduates, postgraduates, and professionals in science, engineering, and medicine, as well as those in statistics, economics, geography, and social sciences.