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st: RE: RE: Using -collapse- extensively to find historical, irregular matches: Better way?
Nick, thanks for your response.
I had been shying away from converting "cited" to strings because the numbers are in the millions, i.e. strings would be length 7. Many of the "citing" patents have more than 35-40 "cited" patents, and so the concatenation might surpass the string's length limit.
Of course, the chances are not high that two patents would match each other over the first 35 patents, so your way does appear to be better.
From: email@example.com on behalf of Nick Cox
Sent: Tue 9/30/2003 9:43 AM
Subject: st: RE: Using -collapse- extensively to find historical, irregular matches: Better way?
> I have a two-column file with variables "citing" and
> "cited". "Citing" refers to a patent, and "cited" refers
> to a patent that is "cited" by the "citing" patent.
> Therefore, if a patent cites and therefore "recombines" 3
> patents prior to it, this history shows up as 3 rows (end
> of message has examples).
> I need a program to catch the number of times that the
> exact same set of patents has been "recombined" in the past
> (i.e. imagine trying to find all the papers that cite the
> same set of references that you do in one of your papers!).
> The basic solution I have come up with is the following:
> collapse (mean) mean=cited (sum) sum=cited (sd) sd=cited, by(citing)
> bysort mean sum sd: gen byte counter = _n
> replace counter=counter-1
> It seems to work, and as the datafile has 16 million rows,
> with 3 million unique "citing" numbers -- therefore with a
> fair amount of variance -- I believe it may be good enough.
> My questions are: (1) Is there a more accurate way, if
> less efficient, to do what I need? (2) Is there any reason
> I should expect Stata to calculate means, sums, and sd's in
> different ways from row to row (i.e. rounding) that would
> render totally ineffective my specific use of -collapse-?
> I attach an example below.
> Thanks, --Chihmao
> citing cited
> 100 30
> 100 32
> 100 33
> 101 34
> 101 35
> 105 30
> 105 32
> 105 33
> 106 29
> 106 30
> 108 30
> 108 32
> 108 33
> Desired output:
> citing counter
> 100 0
> 101 0
> 105 1 (since #100 cited the exact same list
> of patents, no more, no less)
> 106 0
> 108 2 (since there are now 2 prior
> occurrences of same patent list: #100 and #105)
You are aware that this is a bit of a fudge.
I'd restructure the data like this:
gen allcited = ""
bysort citing (cited) : replace allcited = allcited[_n-1] + " " + cited
by citing : keep if _n == _N
bysort allcited (citing) : gen counter = _n - 1
Now this depends on your not overflowing the length
limits of a string variable.
You could save some space by
egen cited2 = group(cited)
and then using -cited2-.
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