Dear fellow R(D)Com Users,
I am looking in to porting an application I have written in RExcel, R and rcom
to a web based app.
After some research I am currently favouring the approach of using ASP.Net with
C# to build the website and connect to R using R(D)Com using
the StatConnectorClass. I have carried out some basic tests and it seems to be
a reasonable and relatively simple way to implement my web app.
However, before jumping headlong into this architecture I thought I would
appeal to the rcom community for your opinions and
experiences in adopting this approach. Here are my questions thus far:
1) Does anyone think there is a better approach than the above for building a
web app with R?
2) Does anyone have any experiences in building a website with ASP.Net and
R(D)COM. If so were there any issues and was this approach successful?
Presumably R(D)Com deployed on a web server can cope with multiple users? i.e.
are there any potential conflict issues?
3) All the StatConnectorClass examples I have looked at on the web so far
initialise a StatConnectorClass using Init("R") and run
the associated R code in one go and the instance of the StatConnectorClass is
then disposed of.
For the purposes of my web app I would like to store a "global" instance of the
StatConnectorClass connector to my R session
which I can pass between my web controls (buttons, listboxes, etc).
The reason for this is that I want to keep my R session running and update it
with the web controls.
It is unfeasible for each call to R using StatConnectorClass being initialised
from an empty R session.
One method of doing this is to define a static StatConnector class in C# see
for example: <http://www.daniweb.com/forums/thread49952.html>
but I certainly don't think this would be a recommended approach!
Alternatively I could store the instance of the StatConnectorClass to a server
side "Application Object" or "Session object"
see for example: <http://www.csharphelp.com/archives/archive207.html> (I have
yet to test this approach).
Can anyone perhaps suggest another better approach?
Looking forward to hearing your views and experiences.
Regards,
----------------------------------------------------------------------------------------
Wayne Jones
Statistical Consultant
Shell Global Solutions (UK)
Shell Technology Centre Thornton, P.O. Box 1, Chester CH1 3SH, United Kingdom
Tel: +44 (0) 151 373 5977
Fax: +44 (0) 151 373 5384
Mobile: +44 (0) 7896 536026
Email: [EMAIL PROTECTED]
Internet: www.shell.com/globalsolutions/statisticsandchemometrics
Shell Global Solutions (UK) is a division of Shell Research Limited which has
its Registered Office at Shell Centre, London SE1 7NA and is registered in
England & Wales with No.539964.
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