Dear all,
I am calculating many pwcorr's in succession. Unfortunately, the
standard tabular output has too much filler to be used directly for
presentation of results, and I have been cutting the unneeded portions
by hand in a text editor. It would be great to be able to capture only
the needed output in a vector, and output only that: efficient to read
onscreen, and good for presenting on paper. In pseudocode, it would go
something like:
matrix q = (1\2\3\4\5\6\7\8\9\10)
matrix sig = (1\2\3\4\5\6\7\8\9\10)
forvalues k = 1/10 {
quietly pwcor x`k' y`k', sig
matrix q[`k',1] = e(q)
matrix sig[`k',1] = e(sig)
}
matrix list q
matrix list sig
Unfortunately, pwcorr appears to overwrite the useful xy covariance with
yy covariance (1.00, naturally), and does not leave behind the
significance value at all. Can something like what I sketch above be
done, or do I have to build a succinct_pwcorr() function from the ground
up?
Thank you!
Pijus
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