Displaying 1 result from an estimated 1 matches for "pg_site1".
2013 May 01
1
help understanding hierarchical clustering
...4.325,32.828,65.65,46
16002,77,4.302,32.821,62.36,47
16002,71,4.299,32.832,65.84,37
16002,70,4.302,32.821,62.54,49
where idcode is a specie identification number
and the other fields are environmental parameters.
library(vegan)
mat<-read.csv("http://epi.whoi.edu/ipython/results/mdistefano/pg_site1.csv",header=T)
dd <- mat[!is.na(mat$idcode) &
!is.na(mat$temp) &
!is.na(mat$sal) &
!is.na(mat$count) &
!is.na(mat$count) &
!is.na(mat$subs),]
distmat<-vegdist(dd)
clusa<-hclust(distmat,"aver...