search for: berkowitz

...row=10,byrow=F) stars(majgrid, locations=0:1, scale=F, draw.segments = TRUE, add=T, lty=1, col.segments=0) stars(mingrid, locations=0:1, scale=F, draw.segments = TRUE, add=T, lty=2, col.segments=0)} par(mfrow=c(1,1)) ##end sample code Thank you, Shelby =============================== Shelby L. Berkowitz Ecological-Community Psychology and Institute for Health Care Studies Michigan State University berkowi4 at msu.edu

Hi UserRs, I know that there has to be an easy way to do this in R (probably easy enough that once someone clues me in I'll smack myself on the forehead for not figuring it out myself), but my searches on my own have not yielded any hints. I have many fields in my dataset that participants entered as "free lists" - i.e., the field constitutes a varying number of names each

...it's something like a bayesian network. And I do know some packages, such as deal, can learn the bayesian networks structure from training data. But I'm not sure if deal or other similar packages can handle 10000 variables...... Thanks a lot for your information. >From: "Shelby Berkowitz" <berkowi4 at msu.edu> >To: "'zhihua li'" <lzhtom at hotmail.com> >Subject: RE: [R] learning networks with a large number of variables andpre-set parents. >Date: Fri, 25 Mar 2005 10:00:17 -0500 > >It's not really clear to me what it is you'...