Data analysis and graphics using R : an example-based approach

=001  26054=003  OCoLC=005  20160617140245.3=006  m        d=007  cr mnu---unuuu=008  100719s2010    enkaf   ob    001 0 eng d=019  \\$a630536036 $a647932033 $a667100559=020  \\$a0511712863 (electronic bk.)=020  \\$a0511714955 (ebook)=020  \\$a0511723008 (electronic bk.)=020  \\$a6612585838 (electronic bk.)=020  \\$a9780511712869 (electronic bk.)=020  \\$a9780511714955 (ebook)=020  \\$a9780511723001 (electronic bk.)=020  \\$a9786612585838 (electronic bk.)=020  \\$z0521762936 (hardback)=020  \\$z9780521762939 (hardback)=035  \\$a(OCoLC)648739924=040  \\$aN{dollar}T $beng $cN{dollar}T $dIDEBK $dE7B $dCDX $dOSU $dOCLCQ $dEBLCP $dYDXCP $dUX0 $dGZM $dOCLCQ=041  ##$aeng=049  \\$aOCAD=050  \4$aQA276.4 $b.M245 2010eb=050  00$aQA276.4 $b.M245 2010eb=072  \7$aMAT $x029000 $2bisacsh=082  00$a519.5/0285 $bM103N=100  1\$aMaindonald, J. H. $q(John Hilary), $d1937-=245  10$aData analysis and graphics using R $h[electronic resource] : $ban example-based approach / $cJohn Maindonald and W. John Braun.=250  \\$a3rd ed.=260  \\$aCambridge ; $aNew York : $bCambridge University Press, $c2010=300  \\$a1 online resource (xxvi, 525 p., [12] p. of plates) : $bill. (some col.)=490  1\$aCambridge series in statistical and probabilistic mathematics ; $v10.=504  \\$aIncludes bibliographical references and indexes.=505  0\$aA brief introduction to R -- Styles of data analysis -- Statistical models -- A review of inference concepts -- Regression with a single predictor -- Multiple linear regression -- Exploiting the linear model framework -- Generalized linear models and survival analysis -- Time series models -- Multi-level models, and repeated measures -- Tree-based classification and regression -- Multivariate data exploration and discrimination -- Regression on principal component or discriminant scores -- The R system: additional topics -- Graphs in R.=520  \\$a"Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practising statisticians. It is both for learning and for reference. This third edition expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests"--Provided by publisher.=588  \\$aDescription based on print version record.=650  \0$aR (Computer program language)=650  \0$aStatistics $xData processing.=650  \0$aStatistics $xGraphic methods $xData processing.=700  1\$aBraun, John, $d1963-=740  0\$aOrbis Cascade Alliance EBL DDA purchased title.=776  08$iPrint version : $aMaindonald, J.H. (John Hilary), 1937- $tData analysis and graphics using R. $b3rd ed. $dCambridge ; New York : Cambridge University Press, 2010 $z9780521762939 $w(DLC)  2009054016 $w(OCoLC)499073965.=830  \0$aCambridge series on statistical and probabilistic mathematics ; $v10.=907  \\$b28182121=LDR  03904cam a2200577Ia 4500