[R] Connect to Visual? and Bench Mark

Douglas Bates bates at stat.wisc.edu
Wed Nov 25 23:47:55 CET 1998

>>>>> "Hoon" == "Yoon, Hoon (CICG <- NY Program Trading)" <HYoon at exchange.ml.com>> writes:

  Hoon> Is there any possible way to connect to VB, VC++, Delphi,
  Hoon> Python, etc...  to R?  I am trying to put some nice GUI using
  Hoon> something like VB and use R as a back end for computations. I
  Hoon> search through the FAQ and help archive, but could not find
  Hoon> any.  I am willing to look at any tools on Sun/Solaris
  Hoon> environment as well (Like C or Python or Perl).  If anyone can
  Hoon> share some examples, pls let me know.  Thanks much in advance,

  Hoon> BTW: Does anyone also know of good bench mark done versus
  Hoon> Splus? I only found
  >> mlbench-0.1 -- machine learning benchmark problems
  Hoon> using hot-bot.

There has been some work done by John Lapeyre on using R as the
backend for the perl data language (pdl).  I believe he was not
working through sockets or anything like that.  He was using the R
source code.

 Package: r-pdl
 Section: math
 Installed-Size: 982
 Maintainer: John Lapeyre <lapeyre at physics.arizona.edu>
 Version: 0.2-2
 Depends: pdl
 Description: 'R' statistics for the perl data language
  r-pdl is an interface to a  collection of about
  100 routines from the R statistics language, for pdl,
  the perl data language.  The routines give information
  and random deviates from common distributions used in
  statistics.  Provisions for a user defined random
  number generator have been added to the original R

You can get the source code for this off any Debian GNU/Linux archive,
such as ftp.debian.org.  From the top of the archive the path will
look like debian/dists/slink/main/source/math/r-pdl_0.2-2.tar.gz

Recently Thomas Lumley announced a sockets library for R.  I'm not
sure if that allows R to act as a server.  Perhaps Thomas can comment.

Another, related project called omega (http://omega.stat.wisc.edu/) is
just underway.  A goal of that project is to provide distributed
statistical computing through CORBA modules.
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