R-alpha: Re: Statistical analysis in Linux

Douglas Bates (dbates@stats.adelaide.edu.au)
Fri, 14 Jun 96 08:52 CST

Message-Id: <m0uULj4-0001btC@arcola.stats.adelaide.edu.au>
Date: Fri, 14 Jun 96 08:52 CST
From: Douglas Bates <dbates@stats.adelaide.edu.au>
To: uw-linux-ug@relay.doit.wisc.edu
Subject: R-alpha: Re: Statistical analysis in Linux
In-Reply-To: <199606131759.MAA94255@audumla.students.wisc.edu>

>>>>> "Charles" == Charles H Franklin <chfrankl@facstaff.wisc.edu> writes:

  Charles> What statistical analysis programs have you used with
  Charles> Linux?  I'd be surprised if Linux becomes my primary
  Charles> statistical platform, but it would be awfully nice to have
  Charles> something useful if I become a total convert!  In the
  Charles> commercial world, I believe STATA has a Linux version. In
  Charles> the non-commercial world I believe Lisp-stat is available
  Charles> for Linux. Any others, for profit or not?

  Charles> On my other platforms I use S-Plus, Gauss, Limdep, SAS,
  Charles> RATS, and Stata for most of my work. I primarily work with
  Charles> survey data that run around 1,000-5,000 cases and 800-1200
  Charles> variables, so the datasets are not terribly large. I am,
  Charles> however, doing work right now on a six-part dataset, each
  Charles> part of which has over 400,000 observations (though few
  Charles> variables.)

As you said, xlisp-stat is available for Linux.  There is also an S-like
language called R that is in alpha-test right now but close to the end
of the alpha-test period.  It is available from

Off the record I can say that S compiles and runs under Linux but it
is up to Mathsoft whether they want to produce and support a port of
S-PLUS under Linux.  To date they have not wanted to do so.

I am not sure how Gauss compares to Matlab and to Octave.  I know
there are similarities.  My understanding is that Octave, which has
been ported to Linux and is freely available, emulates Matlab.
Whether or not that helps a Gauss user I don't know.

Douglas Bates             Dept. of Statistics, U. of Wisconsin-Madison
            (visiting at: Dept. of Statistics, U. of Adelaide)
   bates@stat.wisc.edu    or   dbates@stats.adelaide.edu.au

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