Thanks for your help. I downloaded the scatterplot3d package. plot3d(pr$x, col = c("red", "blue")[c(rep(1, 100), rep(2, 15))], pch=20) where pr$x is the object of the PCA. this works but the graph does not look good.
the other option that I tried is scatterplot3d(pr$x, type="p", highlight.3d=T, pch=16) where the graph looks much nicer but i do not know how to have each group with a different color. Does anyone know how to do it? SNN wrote: > > Hi, > > I have matrix of 300,000*115 (snps*individual). I ran the PCA on the > covariance matrix which has a dimention oof 115*115. I have the first 100 > individuals from group A and the rest of 15 individuals from group B. I > need to plot the data in two and 3 dimentions with respect to PC1 and PC2 > and (in 3D with respect to PC1, PC2 and PC3). I do not know how to have > the plot ploting the first 100 points corresponding to group A in red (for > example) and the rest of the 15 points in Blue? i.e I want the each group > in a diffrent color in the same plot. I appreciate if someone can help. > > Thanks, > -- View this message in context: http://www.nabble.com/Plot-Principal-component-analysis-tp15700123p15751493.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.