While this is not a course in applied regression, we will illustrate concepts with several data sets which require a statistical package for analysis. I suggest using R or S-Plus and purchasing the Venables & Ripley book on S-Plus/R.
Other Computing Links/Resources
| Useful Software for Windows (a collection of programs for Windows) | |
| Emacs Quick Reference Card |
|
| ESS (Emacs Speaks Statistics) provides a common, generic and useful interface to many statistical packages through Emacs. It currently has interfaces to S, R, XLisp-Stat, and SAS, with other statistical languages such as Stata, SPSS, and Fiasco slated for implementations in the future. Running R/S-Plus with ESS locally Descriptions of ESS: 1) Rossini and 2) Heiberger ESS-5.1.24.zip , (README for installing ESS under UNIX or Windows) sample .emacs file for ACPUB (copy or use to modify) with ESS startup |
|
| R Project Site: Documentation, Downloading R, FAQs, and more more R resources and books |
|
| S-plus Documentation (UNIX) (see also the R documentation) Downloading S-Plus 6 (for Windows) Free for students at Duke! |
|
| Matlab | |
| Bugs and WinBugs (Windows) |