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Hi, I have two matrices with a common field = species what i want to do is make a matrix that combines the data held in the other two based on the species name. I.e ( simple example) Matrix 1 - monocot SPECIES V1 A 2 B 3 C 4 D 5 Matrix 2 - PCAresults SPECIES V2 A 0.2 B 0.3 C 4.1 D 3.2 matrix 3 - What i want SPECIES V1 V2 A 2 0.2 B 3 0.3 C 4 4.1 D 5 3.2 my attempt has been this test <-monocot[which(monocot$SPECIES%in%PCAresults$SPECIES),] But this returns matrix with only those found in each but doesn't &quot...

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