[R] Connect to Visual? and Bench Mark
Yoon, Hoon (CICG - NY Program Trading)
HYoon at exchange.ml.com
Mon Nov 30 15:57:55 CET 1998
Hi,
I am trying to find those packages mentioned by the two Professors below.
I have looked through the FAQ, CRAN, Hotbot Mail archives, etc..., but
cannot find where those things are (I may be going blind). Can anyone pls
direct me to the secret R hidding place?
Thanks much,
**************************************************************
S. Hoon Yoon (Quant) Merrill Lynch
Equity Trading
yelled at yahoo.com hoon at bigfoot.com(w)
"Miracle is always only few standard deviations away, but so is
catastrophe."
* Expressed opinions are often my own, but NOT my employer's.
"I feel like a fugitive from the law of averages." Maudin
**************************************************************
> 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.
> Yes, you could use it that way. You can set up either server or client
> sockets. It currently only passes strings over the connections, but you
> can always use parse() then eval() to evaluate them.
>
>
> You might also be able to replace the input and output code in
> src/unix/system.c or the event loop in src/windows/wincons.c
>
> -thomas
>
>
> Thomas Lumley
> Assistant Professor, Biostatistics
> University of Washington, Seattle
>
[Yoon, Hoon (CICG - NY Program Trading)]
-------------------------------
If you want to do this on Windows, the latest version of Guido Masarotto's
R port has the R engine as a DLL and two specimen (but very useful) front
ends. It looks very easy to mimic these to call into that DLL from any of
the Windows systems (VB, VC++, Delphi) you mention, although as this
development is so new, I doubt if anyone has tried it yet. You can of
course build a special-purpose version of that DLL with additional hooks if
you need it. (This is essentially a pre-packed version of Thomas'
suggestion.)
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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