powered by
principal coordinates analysis as described in Legendre & Legendre Numerical Ecology
pcoa(mat,plotit=TRUE,...)
a distance matrix
Whether to produce a plot of the pcoa
further arguments (graphical for instance) to pass to the function
the eigen values of the pcoa
the eigen vectors of the pcoa (the coordinates of observations)
The cumulative euclidian distances among observations,
# NOT RUN { data(gtrunchier) colo<-c("black","red","blue","yellow","orange","green") pcoa(as.matrix(genet.dist(gtrunchier[,-1])),col=rep(colo,c(5,5,4,5,5,5))) # }
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