Hi Paul,
one possibility: write the tree to a wide pdf file and then zoom and
scroll using Adobe Acrobat or another PDF reader. Here is a tree with
1000 objects:
x <- matrix(rnorm(3000), nrow=1000)
hc <- hclust(dist(x))
pdf("tree.pdf", width=150)
plot(hc)
dev.off()
Thomas P.
paul murima wrote:
> Dear all,
>
> The default plotting method for hclust trees looks just fine for few
> objects like in the example dataset. But when it comes to many
> features (eg some 1000 and more - I'm trying to visualize clustered
> microarray data) it renders a tree, that one cannot inspect, because
> of overlapping text and lines. My question is, is there a way or a
> plotting parameter for plotting a tree which is wide enough to have
> all leaves separated and readable labels even for that many objects?
> This would produce a very big image, so I think scrolling is
> essential.
>
> I believe the answer is simple, but I'm unable to figure it out.
>
> Thanks in advance
>
> --
> BEST
>
> Paul Murima
>
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--
Thomas Petzoldt
Technische Universitaet Dresden
Institut fuer Hydrobiologie thomas.petzoldt at tu-dresden.de
01062 Dresden http://tu-dresden.de/hydrobiologie/
GERMANY