datos <- read.table("morphclustersred.csv",header=T,sep="t")
head(datos)
distfunc <- function(x) daisy(x,metric="gower")
d <- distfunc(datos)
hclustfunc <- function(x) hclust(x, method="complete")
fit <- hclustfunc(d)
plot(fit)
plot(fit, labels=datos$Species,main='Morphological Clustering')
rect.hclust(fit, k=5, border="red")

library(ape)
class(fit) # must be hclust class
my_tree <- as.phylo(fit)
write.tree(phy=my_tree, file="exported_tree.newick") # look for the file in your working directory

# Heatmap of data frame 'data' saved as 'heat'
heat <- heatmap.2(as.matrix(data))

# Extract dendrograms for rows and columns from 'heat'
row.dendro <- heat$rowDendrogram
col.dendro <- heat$colDendrogram

# Convert dendrograms to nwk (via .hcclust and .phylo formats!)
as.hclust (row.dendro)  ->row.hcclust
as.phylo  (row.hcclust) ->row.phylo
write.tree(row.phylo)   ->row.nwk

as.hclust (col.dendro)  ->col.hcclust
as.phylo  (col.hcclust) ->col.phylo
write.tree(col.phylo)   ->col.nwk