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