Ok, I was able to work it out finally.
As I have been aided myself numerous times from posted questions by other
users who have reached in the end a solution to their problem, I will put
the code that worked for me for future googlers - it is certainly not
optimal but it works:
# Initial clusterin
Inline:
On Thu, Feb 23, 2012 at 8:23 PM, R. Michael Weylandt
wrote:
> Inline:
>
> On Feb 23, 2012, at 6:20 PM, kosmo7 wrote:
>
>> Dear Elai,
>> thank you very much for your suggestion. I tried cutting the dendrogram
>> instead of the hclust tree with:
>> clusters<-cut(x, h=1.6)
>>
>> but then w
Inline:
On Feb 23, 2012, at 6:20 PM, kosmo7 wrote:
> Dear Elai,
> thank you very much for your suggestion. I tried cutting the dendrogram
> instead of the hclust tree with:
> clusters<-cut(x, h=1.6)
>
> but then when I try to call/plot cluster 1 for example, with:
> plot(clusters$lower[[1]])
>
Dear Elai,
thank you very much for your suggestion. I tried cutting the dendrogram
instead of the hclust tree with:
clusters<-cut(x, h=1.6)
but then when I try to call/plot cluster 1 for example, with:
plot(clusters$lower[[1]])
I get only 2 members that are joined together at distance=0 (cluster
See inline
On Thu, Feb 23, 2012 at 8:54 AM, kosmo7 wrote:
> Dear R user,
> In other words, I am trying to obtain/read the sub-clusters of a specific
> cluster in the dendrogram, by isolating a specific node and exploring
> locally its lower hierarchy.
To explore or "zoom in" on elements of z yo
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