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st: AW: RE: Filtering data
From
"Martin Weiss" <[email protected]>
To
<[email protected]>
Subject
st: AW: RE: Filtering data
Date
Wed, 30 Jun 2010 12:40:04 +0200
<>
" I note that
discarding 20% of your data is a pretty drastic solution to whatever it
is that you see as the problem."
I remember there being criticism at last year`s UK UGM
<http://www.stata.com/meeting/uk09/abstracts.html> of a presenter who
omitted certain extreme cases of his dependent variable from his estimation.
The details of the incident have become somewhat hazy for me, though...
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Nick Cox
Gesendet: Mittwoch, 30. Juni 2010 11:39
An: [email protected]
Betreff: st: RE: Filtering data
Martin Weiss has already answered. On a different level, I note that
discarding 20% of your data is a pretty drastic solution to whatever it
is that you see as the problem. Transformations? Non-identity link
functions?
Nick
[email protected]
Maximiliano Manuel Silva Correa
Im currently analizing travel times for serveral urban bus trips in
the city of Santiago, Chile. I'm using lots of data coming from GPS
sources.
Pretty newbie to Stata, Im stuck trying to filter data by bus trip
route codes; Id like to drop all observations wich have travel times
under percentile 10 and over percentile 90 for all observations
sharing a certain route code... this filter for all route codes.
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