[R] Plot Principal component analysis

[SNN]

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,
> 

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