Dear All,


I used the function daisy() and agnes() in the package cluster to, 
respectively, generate a dissimilarity matrix and a dendrogram (via plot 
function). But I have 405 species plotted on the dendrogram. This means 
that the result is not easily readable.

Do anyone know how arrange the dendrogram in a way that is either easy 
to read or to print?

And, how can I have acces to members of a given cluster group for a 
given cutting level?

My commands are :
data<-read.csv2(file="datalifetraits.csv")
library(cluster)
data.daisy <- daisy(data,metric="gower")
data.agnes <- agnes(data.daisy,diss=TRUE,method="ward")

>  str(data.agnes)
List of 8
 $ order    : int [1:405] 1 22 16 386 23 147 196 148 322 332 ...
 $ height   : num [1:404] 0.122 0.159 0.102 0.543 0.204 ...
 $ ac       : num 0.97
 $ merge    : int [1:404, 1:2] -354 -169 -368 -105 -378 -218 -106 -258 
-350 -344 ...
 $ diss     : NULL
 $ call     : language agnes(x = data.daisy, diss = TRUE, method = "ward")
 $ method   : chr "ward"
 $ order.lab: chr [1:405] "Ana125" "Mac323" "Cou291" "Ste7817" ...
 - attr(*, "class")= chr [1:2] "agnes" "twins"

plot(data.agnes)

 
Thanks

Bruno Herault



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