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RE: st: Re: transform observations in variables


From   kokootchke <kokootchke@hotmail.com>
To   <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Re: transform observations in variables
Date   Mon, 22 Sep 2008 10:06:41 -0400

Fabian,



I don't know if there's a better way of doing this, but an easy solution is just to use reshape, like Martin suggested, and then merge both datasets by last name.



Best,

Adrian



> Date: Sat, 20 Sep 2008 21:32:56 +0200
> From: Fabian.Brenner@gmx.de
> Subject: Re: st: Re: transform observations in variables
> To: statalist@hsphsun2.harvard.edu
>
> Dear Martin,
>
> Thank you for your help (I corrected the mistakes) but I think reshape is not the right command in my case because I have other data-items in the dataset where I don't want to change the shape (or destroy the allocation).
>
> So I am looking for a solution to copy observations of "size" in the columns (with a loop?) for each "familyname".
>
> Thanks,
> Fabian
>
>
>
>
> Martin Weiss schrieb:
>> -h reshape-
>>
>> HTH
>> Martin
>> _______________________
>> ----- Original Message ----- From: "Fabian Brenner" 
>> To: 
>> Sent: Saturday, September 20, 2008 8:38 PM
>> Subject: st: transform observations in variables
>>
>>
>>> Dear statalist:
>>>
>>> My data look like the following:
>>>
>>> "familiyname" "period" "size" "period1" "period2" "period3"
>>>
>>> AA 1 8
>>> AA 2 7
>>> AA 3 3
>>>
>>> AB 1 2
>>>
>>> BG 1 4
>>> BG 2 6
>>>
>>> For each "familyname" I want to get the values of "size" in the column with the equivalent "period" (1 to 3). The values of "size" should be written in the column of the equivalent period for all observations of the same "familyname" (that is why I wasn't able to manage it with -if-)
>>>
>>> The result should be:
>>>
>>> "familiyname" "period" "size" "period1" "period2" "period3"
>>>
>>> AA 1 8 8 7 3
>>> AA 2 7 8 7 3
>>> AA 3 3 8 7 3
>>>
>>> AB 1 2 2
>>>
>>> BG 1 4 4 6
>>> BG 2 6 4 6
>>>
>>> I hope someone has a solution or an idea to solve this problem. Thanks in advance!
>>> Fabian
>>>
>>> --
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>>
>>
>> *
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>
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