Dear R-help, In my Master thesis I measured 10 variables from 18 lakes. These measurements were taken 4 times a year in 3 depths, so I have 12 samples from each lake. I know that 12 samples can not be treated as replications, since they don't correspond to the same environmental characteristics and are not statistically independent, but I want to use these 12 samples as an estimate of an annual range the 18 lakes have of the 10 variables.
I want to make a cluster analysis of the 18 lakes and my known possibilities were: 1- Make an average of the 12 samples from each lake and make the cluster (Using ward's method); 2- Use all 216 samples (18*12) to make the cluster (Which yields a mess). But I thought I could begin the cluster algorithm already with 18 clusters (Lakes) each with 12 individuals (samples) and normally proceed with the calculations (using ward's method). So I will obtain a cluster of the 18 lakes, but using the 12 samples. I got the cluster Fortran algorithm and I'm trying to translate it to the R language to see how it works and maybe implement this kind of cluster of cluster analysis. Does anyone knows if there is an algorithm that does this? Actually I did it by hand and got very good and meaningful results, but I want to implement it to try another merging criterias. Thanks Diego Pujoni Zooplankton Ecology Laboratory Biological Sciences Institute Federal University of Minas Gerais Brazil ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
