I don't know of any tools that automate this process. For small sample sizes it may be easiest to just do this by hand, for large sample sizes that plot will probably be to complicated to make sense of. There may be a range of moderate sample sizes for which automation (or partial automation) would be helpful. The hclust object has a component of "height" which is an indicator of the distance between 2 components being combined into a cluster, you could convert this into a distance matrix (or extract the distance matrix used to do the clustering if it is available) and then use multidimensional scaling (cmdscale function is one option) to produce a 2 dimensional set of points. Drawing the circles/ellipses/ovals will be more difficult, possibly generate a cloud of normal points, or a small circle, around each point with the variability/radius low enough that the clouds are unlikely to overlap, then find the convex hull (chull function) for the points within a cluster and draw that (it will be a polygon rather than a smooth curve). The gBuffer command in the rgeos package may be another way to create polygons around the points in a group.
On Mon, Oct 27, 2014 at 5:42 AM, David Feitosa <davidfeit...@gmail.com> wrote: > Hello! > > I have a code that creates an hclust object. > After the object creation I plot the object as a dendrogram, > similar to the left image of this link: > > http://www.cs.jhu.edu/~razvanm/fs-expedition/hclust-example.png > > I would like to create another image, but similar to the right, > as a set of nested dots and elipses/circles. > > Anybody knows how to do this? > > Thanks in advance. > > David Feitosa > > (\_(\ > (=°;°) > (("")("") > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org 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. -- Gregory (Greg) L. Snow Ph.D. 538...@gmail.com ______________________________________________ R-help@r-project.org 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.