potency@violet.berkeley.edu (Tom Slone) (03/15/89)
I am planning to work with a large body of raw data in the behavioral sciences
(~500K data points). I would appreciate advice on sophisticated statistical
programs for the Macintosh and/or IBM PC for use in analyzing this data. The
data is temporal, i.e., each data point represents information for 1 minute.
If you have experience with using sophisticated statistical programs on the Mac
or PC, I would appreciate your advice.
potency@violet.berkeley.edu
{decvax|hplabs|ihnp4|decwrl|nbires| \
sdcsvax|tektronix|ulysses}!ucbvax!violet!potencyphil@wubios.wustl.edu (J. Philip Miller) (03/17/89)
In article <21641@agate.BERKELEY.EDU> potency@violet.berkeley.edu (Tom Slone) writes: >I am planning to work with a large body of raw data in the behavioral sciences >(~500K data points). I would appreciate advice on sophisticated statistical >programs for the Macintosh and/or IBM PC for use in analyzing this data. The >data is temporal, i.e., each data point represents information for 1 minute. >If you have experience with using sophisticated statistical programs on the Mac >or PC, I would appreciate your advice. > I have had reasonable experience with using such large datasets on SAS on a PC. You definitely do not want an original XT with its 10Meg disk. You want a 286 or 386 processor, you want 2-4Meg of LIM Spec 4.0 memory, and obviously for this type of data you want a large, fast disk. Historically SAS has proven to be very useful when you have datasets like this that you are likely to want to process in a variety of different ways, computing summary indices, and then do analyses of the resulting indices. SAS has all the tools to do this type of processing. The ETS modules also have tools for doing time series models, if this is part of your analytic strategy. -- -*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* J. Philip Miller - Div of Biostat - Washington Univ Medical School phil@wubios.WUstl.edu - Internet phil@wubios.wustl - bitnet (314) 362-3617 c90562jm@wuvmd - alternate bitnet