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![]( "Buchcover ISBN 9780470510247")
„It may seem strange to include a new edition of a textbook in the preview, but I feel that this is one that is definitely worth highlighting. It is a classic that does not just sell to students during term time but has a much wider appeal. This edition will sell really well on publication.“ (The Bookseller, 16 December 2011)„There is a tremendous amount of information in the book, and it will be very helpful. This is a potentially very useful book.“ (Journal of Applied Science, December 2008)„. if you are an R user or wannabe R user, this text is the one that should be on your shelf. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.“ (The American Statistician, Aug 2008)„The R Book; provides the first comprehensive reference manual for the R language.“ (Statistica 2008)„. a 950-page comprehensive reference manual for what is perhaps becoming the most powerful and flexible statistical software environment.“ (CHOICE, December 2007)'The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to The R Book.' (Professional Pensions, 19th July 2007)„There is a tremendous amount of information in the book, and it will be very helpful. This is a potentially very useful book.“ (Journal of Applied Science, Dec 2008) „. if you are an R user or wannabe R user, this text is the one that should be on your shelf. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.“ (The American Statistician, Aug 2008)„The High-level software language of R is setting standards in quantitative analysis.“ (Professional Pensions, 19th July 2007)„The R Book; provides the first comprehensive reference manual for the R language.“ (Statistica 2008)„There is a tremendous amount of information in the book, and it will be very helpful. This is a potentially very useful book.“ (Journal of Applied Science, Dec 2008)
The R Book
von Michael J. CrawleyThe 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.
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.