Hello all,
I've been working on a project involving clustering algorithms and I've hit a
bit of a snag.
I have my main data frame with is 31 X 1000, I have fed this into dif and
hclust in order to produce a 31 item vector stating the perceived grouping of
the columns.E.g.
1 1 1 1 2 2 2 2 1 1 1 1 2 2 2 2 3 3 3 3
etc.
What I want to do is use this information to separate each groups worth of data
into a separate frame so I can perform additional calculations on them.I've
been attempting to use subset by setting the colnames to the grouping results
thus:
colnames(dataFrame) <- groupssubset(dataFrame,select=c(colname="1")
This however only returns the first column rather than all instances of a
column with that name. Note that these columns may not necessarily be
contiguous.
Is this the correct way to go about this?
Thank You
Martin Kerr
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