search for: srndcents20000

...t(dist(srndpc$x[1:1000,1:3]),method="ward") #creation of hierarchical tree plclust(srndpchc,hmin=20000) #visualisation srndpchc20000 = cutree(srndpchc,h=20000) #returns 4 classes table(srndpchc20000 ) srndclass20000 = cbind(srnd@data[1:1000,],srndpchc20000) #assigning classes to objects srndcents20000 <- aggregate(srndclass20000, by=list(srndpchc20000), FUN=median) matplot(1:36,t(srndcents20000[,-c(1,38)])) But how can we make sure that, for example, class 1 is the first branch in the tree plotted  by plclust() ? Regards Laurent [[alternative HTML version deleted]]