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.
Recent comments
17 weeks 13 hours ago
17 weeks 13 hours ago
17 weeks 13 hours ago
23 weeks 1 day ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 33 weeks ago
1 year 37 weeks ago
1 year 39 weeks ago