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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.
Computing
• A Guide for the Unwilling S User (pdf)
A very brief guide when starting to use R or S+.
•
An Introduction to the S Language (html)
Some arguments about why R (and S+) is a good thing.
•
The R Inferno (pdf)
Abstract: If you are using R and you think you're in hell, this is a map for
you.
• 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/
•
Spreadsheet Addiction (html)
Why spreadsheets can be dangerous, and what to do about it.
•
The Statistical Bootstrap and Other Resampling Methods (html)
Data-driven Introductions to R
• R for the Superbowl (html)
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R for the Technical Analysis Challenge (html)
Optimization
• An Introduction to Genetic Algorithms (html)
Last Modified: 2009 July 03
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