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st: Problems with expand og reverting to original dataset
From
Grethe Søndergaard <[email protected]>
To
[email protected]
Subject
st: Problems with expand og reverting to original dataset
Date
Thu, 20 Jan 2011 14:05:47 +0100
Hello
My dataset consists of siblings (two siblings from each family).
person_id1
mother_id
father_id
sibling_id
birth date
I only want to keep siblings in my dataset with a certain age
difference, lets say 5 years or less.
I have tried to do this using expand but when I am not sure how to
revert to my original dataset. This is what I have done:
** duplicating each observation [no] times
expand no, gen(dub)
** creating an (arbitary) id to keep track of the duplicates
sort mother_id father_id person_id1
by mother_id father_id person_id1: gen copyid = _n
** copying
sort mother_id father_id
by mother_id father_id: gen person_id2 = person_id1[no*copyid]
** adding age difference variable
by mother_id father_id: gen birthdate_2 = birthdate_1[no*copyid]
** deleting redundant copies
drop if person_id1 >= person_id2
* creating age differences
gen agedif = birthdate_1 - birthdate_2
replace agedif=agedif *-1 if agedif<0
keep if agedif<6
So far so good. My dataset now consits of pairs of siblings with an
age difference of less than 6 years. There are no dublicates. But how
do I revert to my original dataset??
(I have tried to keep if dub==0 but that deleted a lot of observations
- and that shouldn't happen since there were no dublicates)
I hope somebody can help since I am stuck with this problem.
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