Re: help: testing for unimodality in multiple dimensions?

You might want to consider looking more closely at the contour plots
.... you might be able to tell just by looking at it whether or not its
unimodal. Also to check for unimodality you could use the
Kolmogorov-Smirnov (KS) test in R, since you have your data (call it
x), you could generate any 5-d distribution in R with one mode (say a
multivariate normal), and use the KS test. The KS test is a two-sample
test of the null hypothesis that 'x' and 'y' were drawn from the same
continuous distribution.
Hope that helps.

Eric B

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