false 4520934 1 <P>R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis and methodological development.</P> <P>This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. A supplementary R package can be downloaded and contains the data sets.</P> <P>The statistical methodology includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last six chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, survival analysis, Poisson regression, and nonlinear regression.</P> <P>In the second edition, the text and code have been updated to R version 2.6.2. The last two methodological chapters are new, as is a chapter on advanced data handling. The introductory chapter has been extended and reorganized as two chapters. Exercises have been revised and answers are now provided in an Appendix.</P> 4570016 15 8 2008 Introductory Statistics with R (Statistics and Computing) total:1|4:1| 1 4 5 0 0 0 false false Sun Nov 15 05:56:35 -0800 2009 Sun Nov 15 05:56:35 -0800 2009 0 0 false false Sat Oct 10 09:44:18 -0700 2009 Sat Oct 10 09:44:18 -0700 2009 0 0 false false Thu Jun 25 10:45:38 -0700 2009 Thu Jun 25 10:46:00 -0700 2009 0 0 false false Wed Apr 08 22:40:05 -0700 2009 Wed Apr 08 22:40:05 -0700 2009 4 0 false false Tue Dec 02 13:19:44 -0800 2008 Tue Dec 02 13:19:44 -0800 2008 http://www.goodreads.com/book_link/follow/8?book_id=4520934