[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