That depends on what you want to plot there. Basically, you could just use plot() with pcaResult$x. You might need to define which PCs you want to plot there though.
pcaResult<-prcomp(iris[,1:4]) plot(pcaResult$x) # gives the first 2 PCs plot(pcaResult$x[,2:3]) #gives the second vs the 3rd PC or if you want to see more you can use pairs() pairs(pcaResult$x) if you want things colored, theres the col parameter that works for both functions: pairs(pcaResult$x,col=iris[,5]) Does this help? Am 07.05.2012 um 12:22 schrieb Christian Cole: > I have a decent sized matrix (36 x 11,000) that I have preformed a PCA on > with prcomp(), but due to the large number of variables I can't plot the > result with biplot(). How else can I plot the PCA output? > > I tried posting this before, but got no responses so I'm trying again. > Surely this is a common problem, but I can't find a solution with google? > > > The University of Dundee is a registered Scottish Charity, No: SC015096 > > ______________________________________________ > R-help@r-project.org mailing list > 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. ______________________________________________ R-help@r-project.org mailing list 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.