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 <OBENCHAIN_ROBERT_L@Lilly.com> 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, ochain@lilly.com
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-devel@stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel
>
--
Anthony Rossini Research Associate Professor
rossini@u.washington.edu 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
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