Owen types: > I'd like to get back to the task at hand -- evaluating rapid > prototyping environments. ... clip
> BTW: I'm starting to think answer is that rapid prototyping has > splintered into pieces: > Excel: great for fast exploration of data > R: great for fast statistical evaluation > Gnuplot: great for fast and simple plotting of data > NetLogo: sorta smalltalk for simulation > Processing: Killer 2D/3D visualizations > Sh/Bash: Lightning fast trivial hacks for unix folks > Python: Scripting++ and more > JavaScript: Great access to browsers for both users & AJAX > .. and so on. > So thus there really is an explosion of application specific > environments rather than the old smalltalk which was pretty universal. Probably off topic, but has any of them solved my problem? I can only limp along with my live systems data analysis using home made lisp routines on a graphics platform because of the standard grid model of data that seems to be used elsewhere? All my data streams come with different, and often irregular, time periods and a vector graphics program is the only one I can find that allows direct interrelationships between sequences with different periods. I'm also doing analysis of various ways to reconstruct the points in-between the points. Excel and others have no place to put them. Is there an affordable and flexible stat package that treats all scales as continuities? Phil ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org
