it was originally a dispute over SAS, just catting part:
i#d discourage fro using ms excel. it#s fine using 4 simple analysis like means & stuff, but sux 4 testing stat hypotheses //a diplomat #d say is not efficient
try Eviews. it#s very spread & highly available in arm(prolly pirate copies?), pretty simple & nice 1.
SPSS – got easy to use and learn gui. no special skills or knowledge s needed, but s with limitations. s not programmable (no exotic functionalities, no loops 4 repeated analysis). gut news: u can get 30 days demo @
www.spss.com
S-Plus - easy to use and learn gui holds, + s programmable. & is free, if u prove u#r a student. demo and free (somewhat restricted) student version available @
www.insightful.com
XploRe – no gui, command- or script based processing: more difficult to learn, programmable. we have to learn it, just koz our statistic chair of Humboldt uni has developed it (2 torture us!). restricted demo @
www.xplore-stat.de
R – as well no gui, command- or script based processing, but with lotsa pluses!
+ #1: itäs open source! freely available @
www.r-project.org
+ s os universal //Windows, Mac, Linux etc.
+ free text “Introduction to R” (PDF) available
+ programmable: code (mostly) compatible with S-Plus
+ active community-> lotsa additional packages
iäd go with R given an option