The R Book
Books / Hardcover
Books › Computers › Educational Software
ISBN: 0470510242 / Publisher: Wiley, June 2007
After reviewing the basic syntax of the R language for data analysis, this reference explains the R functions for calculating a variety of statistical techniques spanning all the way from elementary classical tests, through regression and analysis of variance and generalized linear modeling, up to spatial statistics, multivariate methods, tree models, and time series analysis. Crawley (Imperial College) focuses on the assumptions behind the tests, fostering a crucial approach to statistical modeling without requiring statistical theory and advanced mathematics. The final chapter provides instructions for changing the look of graphics. Annotation ©2007 Book News, Inc., Portland, OR (booknews.com)
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The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis.Building on the success of the author’s bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guide to R, ideal for novice and more accomplished users alike. The book assumes no background in statistics or computing and introduces the advantages of the R environment, detailing its applications in a wide range of disciplines.Provides the first comprehensive reference manual for the R language, including practical guidance and full coverage of the graphics facilities.Introduces all the statistical models covered by R, beginning with simple classical tests such as chi-square and t-test.Proceeds to examine more advance methods, from regression and analysis of variance, through to generalized linear models, generalized mixed models, time series, spatial statistics, multivariate statistics and much more.The R Book is aimed at undergraduates, postgraduates and professionals in science, engineering and medicine. It is also ideal for students and professionals in statistics, economics, geography and the social sciences.
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