David and Josh,
Thank you for the suggestions. I have attached a file ('q_values.txt') that
contains the values of the 'Q' variable.
David -- I am attempting an 'S' mode PCA, where the columns are actually the
cases (different stream gaging stations) and the rows are the variables (the
maximum flow at each station for a given year). I think the format you are
referring to is 'R' mode, but I was under the impression that R (the
program, not the PCA mode) could handle the analyses in either format. Am I
mistaken?
My first eigenvalue is:
> unrotated_pca_q$sdev[1]^2
[1] 17.77812
Does that value seem large enough to explain the reduction in principal
components from 65 to 54?
Also, the loadings on the first PC are not particularly high:
> max(abs(unrotated_pca_q$rotation[1:84]))
[1] 0.1794776
Does that suggest that maybe the data are not very highly correlated?
Thank you both very much for your help.
Billy
http://r.789695.n4.nabble.com/file/n3719440/q_values.txt q_values.txt
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