Sorry to answer so late, but this is just what I want ;-) -Atte
Gabor Grothendieck kirjoitti 8.9.2006 kello 14.53: > Actually the discretization does not appear to be needed. This > works just as well: > > set.seed(123) > kor <- cor(iris[1:4]) > gplot(sign(kor), edge.lwd = 10*kor, displaylabels = TRUE, label = > rownames(kor)) > > On 9/8/06, Gabor Grothendieck <[EMAIL PROTECTED]> wrote: >> Try the sna package. Below we calculate the >> correlation matrix, kor, of the numeric cols of builtin iris >> dataset. Zap negative ones and discretize rest to >> get lwd width matrix, lwd, used for edge widths. From >> that create the adjacency matrix, sign(lwd), and plot it >> using indicated layout mode. Seems like three of >> the variables are correlated and Sepal.Width is uncorrelated >> or negatively correlated to those. Try playing around with >> gplot args to create variations. >> >> library(sna) >> set.seed(123) # layout uses random numbers >> kor <- cor(iris[1:4]) >> lwd <- replace(kor, TRUE, 10 * round(pmax(0, kor), 1)) >> gplot(sign(lwd), edge.lwd = lwd, displaylabels = TRUE, label = >> rownames(kor)) >> >> On 9/8/06, kone <[EMAIL PROTECTED]> wrote: >> > Could somebody program this kind of plot type to R, if none exists, >> > based on mds or correlation tables or some more suitable method? >> What >> > do you think about idea? Does it work? None similar or better >> exists? >> > >> > http://weightedassociationmap.blogspot.com/ >> > >> > >> > Atte Tenkanen >> > University of Turku, Finland >> > >> > ______________________________________________ >> > R-help@stat.math.ethz.ch 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. >> > >> ______________________________________________ R-help@stat.math.ethz.ch 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.
