ROrca has some of the tools you need. I'm getting it ready for submission (note that it requires SJava to be installed).
See http://www.analytics.washington.edu/~rossini/ and either get the zip package (if you have Windows) or the tar.gz package (for Unixes). Robert L Obenchain <[EMAIL PROTECTED]> writes: > Dear R-devel, > > My current research focuses upon sensitivity analyses which require > > [1] clusterings of patients in a baseline covariate X-space and > [2] examining the distribution of within-cluster treatment differences in > outcome. > > I have generated some primitive R code for this, but I really need to be > able to interact with graphical displays of within-cluster information (local > average treatment effects) to > identify individual clusters and/or compare pairs of clusters in terms for > the X-characteristics of their patients. > > Is anybody currently working on developing this sort of point-and-click > capability in R? I would be very interested in becoming an alpha or beta > tester of this functionality. ...BobO. > > Bob Obenchain, PhD, Research Advisor > US Medical - Outcomes Research > Lilly Corporate Center, Indianapolis, IN 46285-5024 > (317) 276-3150 voice, (317) 276-0427 fax, [EMAIL PROTECTED] > [[alternative HTML version deleted]] > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > -- Anthony Rossini Research Associate Professor [EMAIL PROTECTED] http://www.analytics.washington.edu/ Biomedical and Health Informatics University of Washington Biostatistics, SCHARP/HVTN Fred Hutchinson Cancer Research Center UW (Tu/Th/F): 206-616-7630 FAX=206-543-3461 | Voicemail is unreliable FHCRC (M/W): 206-667-7025 FAX=206-667-4812 | use Email CONFIDENTIALITY NOTICE: This e-mail message and any attachme...{{dropped}} ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-devel