here is a simple approach to, for instance, plot scores for PC1 and PC2 using diff colors:
scores <- prcomp(yourdata)$x plot(scores[1:100,1], scores[1:100,2], pch = 20, col = "blue") points(scores[101:200,1], scores[101:200,2], pch = 20, col = "red") PM On Sat, Sep 6, 2008 at 11:44 PM, pgseye <[EMAIL PROTECTED]> wrote: > > Hi, > > I'm wanting to do a PCA on some data which is comprised of two different > groups (to see how well the groups are discriminated). Is there a way to > change the colour of the datapoints in a biplot so that I can easily see > which group is which (eg objects 1-100, red, 101-200, black). > > Might be simple, but I'm new to R and can't seem to find how to do this. > > Thanks. > > Paul > -- > View this message in context: > http://www.nabble.com/Label-2-groups-in-PCA-different-colours-tp19354077p19354077.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.
