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The tutorials are (mostly) brief non-technical introductions to technical topics. Many of the tutorials involve R. R is a free, open-source environment for data analysis, graphics and more. It is a version of the S language -- while some details are wrong, much of S Poetry is valid for R. In particular, the glossary may be useful to you. The links page has more on R.• Some hints for the R beginner (html) An attempt to get you up and running with R as quickly and painlessly as possible. • An Introduction to the S Language (html) Some arguments about why R (and S+) is a good thing. • A Guide for the Unwilling S User (pdf) A very brief guide when starting to use R or S+. • R Relative to Statistical Packages (pdf) This is a comment on a technical report from the UCLA statistical consulting group at http://www.ats.ucla.edu/stat/technicalreports/ • The R Inferno (pdf) Abstract: If you are using R and you think you're in hell, this is a map for you. This has been revised as of 2011 April 30. To see an explanation of the changes and access to the previous version, go to "The R Inferno revised" blog post. If you have coins weighing you down, then you can buy a paperback version: 
Buy The R Inferno • R for the Superbowl (html) • R for the Technical Analysis Challenge (html) • Spreadsheet Addiction (html) Why spreadsheets can be dangerous, and what to do about it. • The Statistical Bootstrap and Other Resampling Methods (html) • An Introduction to Genetic Algorithms (html) Last Modified: 2012 January 12 Direct access to this page is: http://www.burns-stat.com/pages/tutorials.html |
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