Re: st: Finding duplicate values across different variables

["Dimitriy V. Masterov" <dvmaster@gmail.com>]

Hi Mike,

Are your company names actually that regular?

DVM

On Mon, Mar 10, 2014 at 8:04 AM, Michael Goodwin
<michael.goodwin@endeavor.org> wrote:
> I have a social network dataset consisting of two ID variables (source and
> target) and a number of indicators (ind1, ind2, ind3). The data looks like
> this:
>
> source            target            ind1   ind2   ind3
> company1      company2      1       0       0
> company3      company5      0       1       0
> company2      company1      1       1       0
> company5      company3      1       1       1
>
> My goal is to 1) consolidate any observations where the combination of
> source and target is equal (even where they aren't duplicates in the
> traditional Stata sense, such as observations 1 and 3 or 2 and 4 above);
> and 2) make the source and target of the consolidated observation equal to
> the source and target of whichever observation had a higher rowtotal of the
> indicators (so observations 3 and 4 would remain).
>
> Thus far, my approach has been to create a concatenation of source and
> target and, in a loop, flag all instances where
> source+target==target+source elsewhere in the dataset.
>
> gen orig = source+target;
> gen new = target+source;
> gen temp = .;
> local max = _N;
> egen count = rowtotal(ind*);
> forv num = 1/`max' {;
> replace temp = 1 if orig==new[`num'];
> };
>
> I still haven't been able to figure out how to sort the resulting dataset
> in such a way that I can easily consolidate the observations based on the
> count variable. Any thoughts you have would be much appreciated. Thanks in
> advance.
>
> Best,
>
> Mike
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