Dear Sun Shine,
dtes <- dist(tes.df, method = 'euclidean')
dtesFreq <- hclust(dtes, method = 'ward.D')
plot(dtesFreq, labels = names(tes.df))
However, I get an error message when trying to plot this: "Error in
graphics:::plotHclust(n1, merge, height, order(x$order), hang, : invalid
dendrogram input".
I don't see anything wrong with the code, so what I'd do is run
str(dtes) and str(dtesFreq) to see whether these are what they should be
(or if not, what they are instead).
I'm clearly screwing something up, either in my source data.frame or in my
setting hclust up, but don't know which, nor how.
Can't comment on your source data but generally, whatever you do, use
str() or even print() to see whether the R-objects are allright or what
went wrong.
More than just identifying the error however, I am interested in finding a
smart (efficient/ elegant) way of checking the occurrence and frequency value
of the terms that may be associated with 'sports', 'learning', and
'extra-mural' and extracting these into a matrix or data frame so that I can
analyse and plot their clustering to see if how I associated these terms is
actually supported statistically.
The first thing that comes to my mind (not necessarily the best/most
elegant) is to run...
dtes3 <- cutree(dtesFreq,3)
...and to table dtes3 against your manual classification.
Note that 3 is the most "natural" number of clusters to cut the tree
here but may not be the best to match your classification (for example,
you may have a one-point cluster in the 3-cluster solution, so it may
effectively be a two-cluster solution with an outlier). Your
dendrogram, if you succeed plotting it, may give you a hint about that.
Hope this helps,
Christian
I'm sure that there must be a way of doing this in R, but I'm obviously not
going about it correctly. Can anyone shine a light please?
Thanks for any help/ guidance.
Regards,
Sun
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.
*** --- ***
Christian Hennig
University College London, Department of Statistical Science
Gower St., London WC1E 6BT, phone +44 207 679 1698
c.hen...@ucl.ac.uk, www.homepages.ucl.ac.uk/~ucakche
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.
