search for: 300x6

Hi all, I was hoping that someone could verify this for me- when I run princomp() on a matrix, it is my understanding that the scores slot of the output is a measure of how well each row correlates (for lack of a better word) with each principal component. i.e. say I have a 300x6 log2 scaled matrix, and I run princomp(). I would get back a $scores slot that is also 300x6, where each value can be negative or positive. I'd assume that the negative values correspond to rows that are negatively correlated with that particular PC, and vice-versa for positives. Thanks in...

I couldn't find any reference to this in the FAQ, but is it possible to sort a dataframe by multiple columns? I've created some code, similar to the following: nspr.code <- sp.results$sp.code[order( sp.results$sp.code )] nspr.tpa <- sp.results$tpa[order( sp.results$sp.code )] nspr.code <- as.character( levels( nspr.code ) )[nspr.code] nspr.tpa <- as.numeric( levels( nspr.tpa