First, this is about biplot, not prcomp.
Second, you seem to want to get a single-variable plot out of a
biplot, which contradicts the 'bi' and hence I would not expect there
to be a simple way to do this.
The simplest thing to do would be to edit biplot.default via
biplot.default <- stats:::biplot.default
fix(biplot.default)
and comment out the bits you want to suppress (both text() calls if I
get your drift, but I would want to remove axes that relate to
variables I am not plotting).
For more than once-off use I would create my own function after
reading stats:::biplot.prcomp and stats:::biplot.default.
On Wed, 23 Dec 2009, milton ruser wrote:
Dear all,
I have a very large dataset (1712351 , 20) and would like
to plot only the arrows that represent the
contribution of each variables.
On the sample below I woild like to plot
only the explanatory variables (Murder, Assault..)
and not the sites.
prcomp(USArrests) # inappropriate
prcomp(USArrests, scale = TRUE)
prcomp(~ Murder + Assault + Rape, data = USArrests, scale = TRUE)
plot(prcomp(USArrests))
summary(prcomp(USArrests, scale = TRUE))
biplot(prcomp(USArrests, scale = TRUE))
Thanks a lot,
milton
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Brian D. Ripley, rip...@stats.ox.ac.uk
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