Hi,
I am trying to draw a figure with a series of plots to show the results
of a k-means cluster analysis.
Following the example in the MASS book (pg 338-339), I was able to plot
the clusters in Principal Component space.
My first question is:
I want to emphasise the clusters using colour so I use:
>plot(chem.predict[, 1:2], type="n", xlab="First principal
component",
ylab="Second principal component")>text(chem.predict[,1:2], labels=km$cluster, cex=0.75, col=km$cluster)
>points(chem.centers[,1:2], pch=3, cex=4)
This works OK, but I would like to specify the colours used for each
cluster as the cyan doesn't show up very well when printed. How do I do
this?
My second question is:
I want to plot the points 3 times, one for PC1:PC2, PC1:PC3, and
PC2:PC3. Next to those plots I want to plot up the biplot arrows shown
for the relevant components. So I end up with a 3x2 matrix of plots,
with the first column containing the plots for each dimension pair, and
the second column showing the biplot arrows for each dimension pair.
I am able to plot the points on different PC's but haven't worked out
how to generate a plot showing only the biplot arrows yet.
Version######> R.version
_
platform i386-pc-mingw32
arch x86
os Win32
system x86, Win32
status
major 1
minor 3.0
year 2001
month 06
day 22
language R
Windows2000
Many thanks for any suggestions
Gav
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