# R-alpha: Mutivariate Analysis

**Kurt Hornik
**
Kurt.Hornik@ci.tuwien.ac.at

*Thu, 21 Aug 1997 23:02:06 +0200*

>>>>>* Ross Ihaka writes:
*
>* I have got a little side-tracked (from graphics) and am putting
*>* together a little multivariate analysis library. This is just
*>* intended to be a "core" library rather than anything exhaustive.
*>* Mainly it is a matter of putting togther code which already exists at
*>* StatLib. Here is my present list (only some of which is finished).
*
>* 1. Principal Components
*>* prcomp
*
>* 2. Clustering
*>* dist, hclust, plclust, subtree, cutree
*>* kmeans
*
>* 3. Canonical correlations (is this ever used?)
*>* cancor
*
>* 4. Scaling
*>* cmdscal, sammon, isoscal
*
>* 5. Graphics
*>* (Optimal) profile plots
*>* biplots
*>* stars etc
*>* A bunch of Michael Friendly's stuff converted from SAS
*
>* 6. Discriminant analysis
*>* discr (a real one which takes prior probs and returns posterior
*>* ones)
*
>* I would also like to use the object facility so that printing,
*>* plotting etc is done with generic functions; e.g. plot(prcomp(x))
*>* should produce a scree plot, coef(prcomp(x)) should deliver the
*>* loadings - plclust() should also really be plot.hclust().
*
Yes I know this is a very old mail from Ross ...
I have two questions.
* Is the (already existing) plot.hclust() already a replacement for
plclust()? (I.e., could we add
plclust <- function(...) plot.hclust(...)
for compatibility purposes?)
* I'd be very much interested in some of the functions that are not yet
in the current `mva'. Has there been any work on this one lately? How
can we help?
-k
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