Tutorials


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.


R -- Beginning

• 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/


R -- Intermediate

• The R Inferno (pdf)
Abstract: If you are using R and you think you're in hell, this is a map for you.


R -- Data-driven

• R for the Superbowl (html)

• R for the Technical Analysis Challenge (html)


Computing

• Spreadsheet Addiction (html)
Why spreadsheets can be dangerous, and what to do about it.

• The Statistical Bootstrap and Other Resampling Methods (html)


Optimization

• An Introduction to Genetic Algorithms (html)



Last Modified: 2010 March 07