# [R] Problem

Huntsinger, Reid reid_huntsinger at merck.com
Wed May 22 23:12:33 CEST 2002

```Dependence between complements might complicate things, depending on how
"precision" is calculated. So will the fact that the clustering rule is
presumably a function of the same data you're analyzing. In general you
might want to use resampling methods to handle this. It would be hard to
recommend anything without more details: how do you calculate precision? How
do you arrive at clusters? What is it you're trying to do--what's the big
picture? That actually matters as there are many hypotheses of homogeneity
one could test...

Reid Huntsinger

-----Original Message-----
From: Ambrosini Alessandro [mailto:klavan at tiscalinet.it]
Sent: Wednesday, May 22, 2002 3:36 PM
To: R-help
Subject: [R] Problem

Hello. I don't know if you can help me but I try.
I have a collection of objects, we suppose that they are 1000. After some
works that I made I divided this collection in some clusters. Suppose to
have obtained 50 clusters. For each cluster I found a particular value
called Precision, where 0<Precision<1.
Taken the firs cluster I want to compare his Precision with the precision of
his complement that his obtained by the union of the remainder clusters.
After this I want to take the second cluster and make the same thing
comparing his precision with the precision of his complement. Take the third
cluster and so on. I want to do this for each cluster.
I want to use a test that compare the precision obtained for each cluster
with the precision of each complement. I want to know if the precision of
the singolar clusters are significantly different respect the precision of
the complement. I think that I have to make a vector with the precision of
the clusters and a vector with the precision of the complement. Maybe I have
to find the means of each vector and compare them. But wich is the test that
I have to use? Is it a t-student? And wich command I have to use if I want
to make this test?

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