On Fri, 2007-04-27 at 20:29 +0300, Ralf Finne wrote: > Hi experts! > > Have anybody experience in including an R-program > as part of a larger system? In Matlab there is a toolbox > that converts a m-script into C-code. > One application in mind is that I do the model building in R, > for estimating the risk for cancer based on clinical measurements. > > When the model is ready, a small R-program can simulate > the model to estimate the risk for a new patient. The idea is > that a doctor gets the measurements for the patient sitting in his > office. Then he goes to Internet and types in the test measuremnets > and gets the estimated risk.
We are in a similar situation and the approach we've used is to keep R as a backend computation engine (using Rserve) and have a web service interface to it. Thus when we develop a predictive model, we dump it on the backend and have a web service interface to it. With this interface we can then write a web page client or even include the model into custom code (command line or GUI). You can see some examples at: http://www.chembiogrid.org/cheminfo/rws/ames http://www.chembiogrid.org/cheminfo/ncidtp/dtp http://www.chembiogrid.org/cheminfo/pkcell/ The first two use previously built predictive models. The last one is a piece of R code. Alternatively you could use RApache ------------------------------------------------------------------- Rajarshi Guha <[EMAIL PROTECTED]> GPG Fingerprint: 0CCA 8EE2 2EEB 25E2 AB04 06F7 1BB9 E634 9B87 56EE ------------------------------------------------------------------- A sine curve goes off to infinity, or at least the end of the blackboard. -- Prof. Steiner ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
