From aldo.solari@teleline.es Tue Jun 27 20:15:04 2000
Date: Thu, 22 Jun 2000 11:09:08 +0100
From: "Aldo P. Solari [APS]" 
To: R. Allen Curry , fish-ecology@helios.ulpgc.es
Subject: re: stats programs

There are several packages for "data mining" which have different
features. In my opinion,

SyStat  >  v  5  (now  on  v. 9, see www.spss.com) is a very good
package  for  classical  stats; it is easy to use, it requires no
programming  knowledge,  it has very good graphics, it uses Basic
for  programming  macros  and  it comes with a "state-of-the-art"
handbook;  there  is  a  distribution  list for support. If I had
funds  for  just  one  stats  package,  I would definitely go for
Systat;

SPSS > v 6.1.3 (now on v. 10, see www.spss.com) is a good program
to  handle  relatively  large data bases (on around 10-12 million
cells  it  runs  _fast_  on  a simple P5 at 100 MHz); graphics is
still  a weak side in this package (compared to Systat); also, be
aware  if you aim to run spectarl analyses: version 8 includes it
but  which  was  taken away in versions 9 and 10; the drawback of
this package is the "add-on" marketing strategy SPSS has adopted;

S+  (see  www.mathsoft.com)  is  a  heavy  duty  package for data
mining;  however,  it  requires significantly more input from the
user;   an  advantage  is  that  it  includes  certain  types  of
regressions and fractional series analyses which are not included
by-default in any other stats package;

Dataplore (www.dataplore.de) appears to be a great program to run
non-linear  data  analyses;  it  is aimed to detect chaos in time
series and it includes documentation in HTML format;

For   juniors,   I   would   definitely   suggest  StatView  (see
www.statview.com),  an  extremely  easy  to  use  classical stats
package  with  great documentation in PDF format. Stats tests are
easily  explained  in  the  docs.  A  very  nice  approach, in my
opinion.  This program was originally developed for the Macintosh
and the pc version includes the highly user-friendly.

On  the Linux side, there are several free data analyses packages
which   should  be  seriously  considered.  You  may  follow  the
www.linux.org  link  and  search for SAL (Scientific Applications
for Linux).

Bottom  line: Systat may be the best investment so far (pc, mac);
for  junior  scientists, StatView may be the way to go (pc, mac).
Intel  based  machines  may  run Linux and a series of free stats
analyses packages.

More comments are welcome.

Neither  I  nor  fish-ecology  is  associated  with  any software
producer.

Cheers,

       APS

----
Aldo P. Solari.
Fisheries Research Group, U. of Las Palmas
Box 550, 35017, Las Palmas, Canary Islands.

Mail-to[PGP key available on request]:

    [academic/research matters]
   [private matters]

Home page, http://www.ccbb.ulpgc.es/fish-ecology/solaris/
----

racurry@UNB.CA

RAC> What software are folks using to fit linear and non-linear curves 
RAC> (including statistics on goodness of fit) to data these days?


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