Three part series on R that's of interest for domain specific PL development. First parts can be found at Part 1: Dabbling with a wealth of statistical facilities and
Part 2: Functional programming and data exploration. (Part three is still in the works). R is a suite of software facilities for data manipulation, calculation and graphical display, which is quite useful for statistical analysis. It builds upon the S language developed originally at Bell Labs.
A three-part series, ...introduces you to R, a rich statistical environment, released as free software. It includes a programming language, an interactive shell, and extensive graphing capability. What's more, R comes with a spectacular collection of functions for mathematical and statistical manipulations -- with still more capabilities available in optional packages... The (GPL'd) R programming language has two parents, the proprietary S/S-PLUS programming language, from which it gets most of its syntax, and the Scheme programming language, from which it gets many (more subtle) semantic aspects.
R and S were touched on fairly briefly in the LtU discussion about
Regression Analysis. A more detailed introduction can found be found at
An Introduction to R.
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