Re: [Gretl-users] Principal component analysis: Missing values encountered
On Thu, 3 Nov 2016, Jaromir Baxa wrote:
Dear all,
few days ago I've updated my gretl installation from 1.9.91 to
2016b and re-run one of my examples that I use in class and I've
found that the principal components analysis behaves quite
different now (perhaps a bug): After performing pca on the same
dataset as before, gretl returns "Missing values encountered",
both via GUI and via console and PC's are not calculated. However,
in 1.9.91 everything worked and PC's were calculated if some
observations had missing values at some of the variables.
Is this a bug or an intention?
Can you try with the current release, gretl 2016c? And/or if you
could send me your data (offlist, if you prefer) I'll be happy to
take a look.
Is there any easy command how to skip observations with missing
values?
Yes:
list L = <list of variables of interest>
smpl ok(L) --restrict
Allin Cottrell