[Babase] FYI, Statistical analysis and data visualation

Karl O. Pinc babase@www.eco.princeton.edu
Wed, 22 Sep 2004 23:26:36 -0500


Ran across this. Haven't messed with it but it's got an impressive 
pedigree.
The text based nature appeals as you can write yourself notes as to 
what your
doing at each point if you like.

http://www-106.ibm.com/developerworks/linux/library/l-r1/?ca=dgr-lnxw02aAre

Statistical programming with R: Part 1. Dabbling with a wealth of 
statistical facilities		 


Level: Intermediate

David Mertz (mertz@gnosis.cx), Developer, Gnosis Software
Brad Huntting (huntting@glarp.com), Mathematician, University of 
Colorado

21 Sep 2004

     In the first of a three-part series, David and Brad introduce 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 R environment is not intended to be a programming language per se, 
but rather an interactive tool for exploring data sets, including the 
generation of a wide range of graphic representations of data 
properties. You can save both the generated graphics and the steps 
taken during a session for later use, which is especially useful in 
picking up working environments, per project, where you last left off. 
By default, R commands are saved in a session history, but you can also 
save particularly helpful sequences of instructions in .R files that 
you can source() within a session. 
Karl <kop@meme.com>
Free Software:  "You don't pay back, you pay forward."
                  -- Robert A. Heinlein