[R] Weighted association map

Gabor Grothendieck ggrothendieck at gmail.com
Fri Sep 8 11:37:22 CEST 2006

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.

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 <attenka at utu.fi> 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
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