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100   $a20070621d2007      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 14$aThe R book /$fMichael J. Crawley
205   $a1st edition
210   $aChichester, England ;$aHoboken, N.J. $cWiley$d2007
215   $a1 online resource (952 p.)
300   $aDescription based upon print version of record.
311 08$a9780470510247 
311 08$a0470510242 
320   $aIncludes bibliographical references (p. [873]-876) and index.
327   $aThe R Book; Contents; Preface; 1 Getting Started; 2 Essentials of the R Language; 3 Data Input; 4 Dataframes; 5 Graphics; 6 Tables; 7 Mathematics; 8 Classical Tests; 9 Statistical Modelling; 10 Regression; 11 Analysis of Variance; 12 Analysis of Covariance; 13 Generalized Linear Models; 14 Count Data; 15 Count Data in Tables; 16 Proportion Data; 17 Binary Response Variables; 18 Generalized Additive Models; 19 Mixed-Effects Models; 20 Non-linear Regression; 21 Tree Models; 22 Time Series Analysis; 23 Multivariate Statistics; 24 Spatial Statistics; 25 Survival Analysis; 26 Simulation Models
327   $a27 Changing the Look of GraphicsReferences and Further Reading; Index
330   $aThe 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 guid
606   $aR (Computer program language)
606   $aMathematical statistics$xData processing
615  0$aR (Computer program language)
615  0$aMathematical statistics$xData processing.
676   $a519.5
700   $aCrawley$b Michael J$063288
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