LEADER 03936nam 2200613 a 450 001 9910133778603321 005 20220906115417.0 010 $a1-299-19028-6 010 $a1-118-44894-4 010 $a1-118-44896-0 010 $a1-118-44890-1 035 $a(CKB)3340000000001987 035 $a(EBL)1120574 035 $a(SSID)ssj0000831587 035 $a(PQKBManifestationID)11449601 035 $a(PQKBTitleCode)TC0000831587 035 $a(PQKBWorkID)10880896 035 $a(PQKB)10629809 035 $a(MiAaPQ)EBC1120574 035 $a(DLC) 2012036181 035 $a(CaSebORM)9781118448960 035 $a(PPN)172449545 035 $a(EXLCZ)993340000000001987 100 $a20120904d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe R book$b[electronic resource] /$fMichael J. Crawley 205 $aSecond edition. 210 $aHoboken, N.J. $cJohn Wiley & Sons Inc.$d2013 215 $a1 online resource (1077 pages) 300 $aDescription based upon print version of record. 311 $a0-470-97392-7 320 $aIncludes bibliographical references and index. 327 $aMachine generated contents note: Preface vii 1 Getting Started 1 2 Essentials of the R Language 9 3 Data Input 97 4 Dataframes 107 5 Graphics 135 6 Tables 183 7 Mathematics 195 8 Classical Tests 279 9 Statistical Modelling 323 10 Regression 387 11 Analysis of Variance 449 12 Analysis of Covariance 489 13 Generalized Linear Models 511 14 Count Data 527 15 Count Data in Tables 549 16 Proportion Data 569 17 Binary Response Variables 593 18 Generalized Additive Models 611 19 Mixed-Effects Models 627 20 Non-linear Regression 661 21 Meta-analysis xxx 22 Bayesian statistics xxx 23 Tree Models 685 24 Time Series Analysis 701 25 Multivariate Statistics 731 26 Spatial Statistics 749 27 Survival Analysis 787 28 Simulation Models 811 29 Changing the Look of Graphics 827 References and Further Reading 873 Index 877s. 330 $a"Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition: Features full colour text and extensive graphics throughout. Introduces a clear structure with numbered section headings to help readers locate information more efficiently. Looks at the evolution of R over the past five years. Features a new chapter on Bayesian Analysis and Meta-Analysis. Presents a fully revised and updated bibliography and reference section. Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition: '... if you are an R user or wannabe R user, this text is the one that should be on your shelf. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.' (The American Statistician, August 2008) 'The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to The R Book...' (Professional Pensions, July 2007) "--$cProvided by publisher. 606 $aR (Computer program language) 606 $aMathematical statistics$xData processing 615 0$aR (Computer program language) 615 0$aMathematical statistics$xData processing. 676 $a510.285536 676 $a519.50285/5133 676 $a519.502855133 686 $aMAT029000$2bisacsh 700 $aCrawley$b Michael J$063288 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910133778603321 996 $aR Book$9733830 997 $aUNINA LEADER 02302nam 2200601 450 001 9910811208803321 005 20200520144314.0 010 $a3-527-65604-9 010 $a3-527-65602-2 010 $a3-527-65605-7 035 $a(CKB)2670000000433099 035 $a(EBL)1457989 035 $a(OCoLC)861080350 035 $a(SSID)ssj0001158698 035 $a(PQKBManifestationID)11684103 035 $a(PQKBTitleCode)TC0001158698 035 $a(PQKBWorkID)11106197 035 $a(PQKB)10525373 035 $a(MiAaPQ)EBC1457989 035 $a(Au-PeEL)EBL1457989 035 $a(CaPaEBR)ebr10780720 035 $a(CaONFJC)MIL530095 035 $a(PPN)176216944 035 $a(EXLCZ)992670000000433099 100 $a20131104h20142014 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aFRET - Fo?rster resonance energy transfer $efrom theory to applications /$fedited by Igor Medintz and Niko Hildebrandt 210 1$aWeinheim :$cWiley-VCH Verlag GmbH & Co. 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