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compton
2010 Dec 14
4
Discriminant Correspondence Analysis
...number of kept axes
Examples
data(perthi02)
plot(discrimin.coa(perthi02$tab, perthi02$cla, scan = FALSE))
For clarification, my data consists of measurements of morphological
characters of an assemblage of biological specimens. I have already
performed Principal Co-ordinates Analysis, Principal Compionents Analysis
and Cluster Analysis in another program (PAST) in order to see if the data
fall into distinct groupings that might represent different morphological
species. I now want to test the groupings that I found on my test data set
using Discriminant Correspondence Analysis.There are both cont...