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Dear Sirs: Please pardon me I am very new to R. I have been using MATLAB. I was wondering if R would allow me to do principal components analysis on a very large dataset. Specifically, our dataset has 68800 variables and around 6000 observations. Matlab gives "out of memory" errors. I have tried also doing princomp in pieces, but this does not seem to quite work for our approach.

Hi, I was trying to evaluate the pearson correlation and the p-values for an nxm matrix, where each row represents a vector. One way to do it would be to iterate through each row, and find its correlation value( and the p-value) with respect to the other rows. Is there some function by which I can use the matrix as input? Ideally, the output would be an nxn matrix, containing the p-values