plotccda.cluster: Plot of the basic grouping

In ccda: Combined Cluster and Discriminant Analysis

Description

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).

Usage

plotccda.cluster(x)

Arguments

x	The output list of ccda.main.

See Also

ccda.main, plotccda.results, plotccda.q95

Examples

result<-ccda.main(iris[,1:4] , iris[,5],  500, c("setosa","versicolor",
"virginica"),"proportions",return.RCDP=FALSE)
plotccda.cluster(result)

ccda documentation built on Oct. 2, 2019, 5:04 p.m.