Hi,
Just to inform you that I found the solution for the write.csv task I
mentioned earlier. Searching thru the r-help leads me to this solution..
###Your soln starts
xx <- max(cl2$cl.kmr10.cluster)
# find out how many clusters there are.
my.clusters <- list(NULL) # set up an empty list for st
Hi,
Thanks for your reply. I have tried yr suggestions with success. TQVM.
I have another query, say I want to write each cluster into a csv file such
as follows:
clus1 <- my.clusters[[1]]
write.csv(clus1, file = "clus1.csv")
.
.
clus10 <- my.clusters[[10]]
write.csv(clus10,file = "
Can you supply a small self-contained example of this?
--- Suhaila Zainudin <[EMAIL PROTECTED]>
wrote:
> Greetings R-users,
>
> I have been using the fpc package in R to cluster my
> data. Speficically I am
> using kmeansruns clustering.
> I would like to know how I use R to partition data
> into
Greetings R-users,
I have been using the fpc package in R to cluster my data. Speficically I am
using kmeansruns clustering.
I would like to know how I use R to partition data into clusters. What I am
doing is as follows.
# Use csv file as input
#
wholeset = read.csv("Spellman
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