[R] multi-user engine

zubin binabina at bellsouth.net
Thu Apr 22 00:34:43 CEST 2004


Thanks for the feedback, looks like RSERV is a viable solution?

http://stats.math.uni-augsburg.de/Rserve/p_index.shtml

any info on folks who have experience with Rserve?

thx again..

-----Original Message-----
From: A.J. Rossini [mailto:rossini at blindglobe.net]
Sent: Wednesday, April 21, 2004 10:37 AM
To: Barry Rowlingson
Cc: zubin; r-help at stat.math.ethz.ch
Subject: Re: [R] multi-user engine


Barry Rowlingson <B.Rowlingson at lancaster.ac.uk> writes:

> A.J. Rossini wrote:
>> "zubin" <binabina at bellsouth.net> writes:
>>
>>>I am presently a SAS user and wanted to configure R to work in a
multi-user
>>>enteprise environment.  Client - Server.  Where we have a strong LINUX
>>>server supporting about 10 statisticians with R.  Anyone have any
backround
>>>or information they can share to help me get jump-started on setting up R
in
>>> this environment?
>
>   Why can't you install R in the usual way on the server and give the
>   statisticians (there's only 10 of them, so its not much admin)
>   accounts on the server? They then login (using an SSH client) and
>   get graphics back via X-windows. Free SSH clients and X-windows
>   servers are available for all the usual platforms. Their filestore
>   would be on the server. I just don't see the advantage (and see
>   plenty of disadvantages) of complicating things with a client-server
>   framework where it might not be necessary.

Depends on the environment.  I can think of many good reasons for
wanting a client-server situation, where the solution you point out
would be a complete non-starter.  However, since client-server isn't
ready at this point without a great deal of work and pain, so it
(client-server) is pretty much a non-starter, and the solution you
point out is the only "get it done this month" solution that I know
of.

best,
-tony

--
rossini at u.washington.edu            http://www.analytics.washington.edu/
Biomedical and Health Informatics   University of Washington
Biostatistics, SCHARP/HVTN          Fred Hutchinson Cancer Research Center
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