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The function plotccda.cluster draws the dendrogram for the basic grouping using hierarchical clustering for the averages with Ward's method (as used in ccda.main).
plotccda.cluster(x)
The output list of ccda.main.
ccda.main, plotccda.results, plotccda.q95
ccda.main
plotccda.results
plotccda.q95
# NOT RUN { result<-ccda.main(iris[,1:4] , iris[,5], 500, c("setosa","versicolor", "virginica"),"proportions",return.RCDP=FALSE) plotccda.cluster(result) # }
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