drop if mark_for_drop > 0
Also, in the first -label define- command, the -modify- option is not
needed.
Friedrich
--- Friedrich Huebler <[email protected]> wrote:
> Michael,
>
> You could save all dropped observations in a separate dataset and
> identify the reasons for dropping them with value labels.
>
> gen mark_for_drop=0
> replace mark_for_drop=1 if eodlymph==99
> lab def reason_for_drop 1 "missing lymph", modify
> replace mark_for_drop=2 if xyz==99
> lab def reason_for_drop 2 "missing xyz", modify
> ...
> lab val mark_for_drop reason_for_drop
> preserve
> keep if mark_for_drop > 0
> save dropped.dta
> tab mark_for_drop
> restore
> drop if if mark_for_drop > 0
> save clean.dta
>
> Friedrich
>
> --- Michael McCulloch <[email protected]> wrote:
> > Hello,
> > While cleaning a dataset, I'm periodically dropping observations
> > that
> > meet certain criteria, for example:
> > drop if eodlymph==99
> >
> > Since this occurs very often within a long do-file, I'd like to
> > keep
> > an inventory of dropped observations & my reason for doing so.
> > Aside
> > from manually searching through my log file, is there a more
> > elegant
> > way than what I suggest below, to do this?
> >
> > For example:
> > gen mark_for_drop=0
> > gen reason_for_drop=.
> > replace mark_for_drop=1 if eodlymph==99
> > replace reason_for_drop="missing lymph" if eodlymph==99
> > ...
> > drop if eodlymph==99
> > ...
> > tab mark_for_drop reason_for_drop if reason_for_drop==1
> >
> >
> > Many thanks,
> > Michael
> >
> >
> >
> > --
> >
> > Michael McCulloch, LAc, MPH
> > Research Director
> > Pine Street Foundation
> > 124 Pine St
> > San Anselmo, CA 94960-2674
> > Tel: (415) 407-1357
> > Fax: (415) 485-1065
> > [email protected]
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