
From  "Nikolaos A. Patsopoulos" <npatsop@cc.uoi.gr> 
To  statalist@hsphsun2.harvard.edu 
Subject  Re: st: Re: bysort problem 
Date  Mon, 26 Feb 2007 19:29:26 +0200 
Sergiy Radyakin wrote:
Is there a guarantee, that var2+c(epsfloat)*obs will be a unique value (will not overlap with the next value)? It is true in the example, but it is not a general case.That might be the best idea. I managed to pull it through adding 0.00001 but will try uniform( )as well.
consider var1=0.5 and var2 equal to
c(epsfloat)
c(epsfloat)
c(epsfloat)
c(epsfloat)
This seems to be also a solution:
replace var2=var2+uniform()/100000
simply add a small random number (noise) to var2. Chances that there will be coincidences are also small, but they may not be ignored.
 Original Message  From: "Austin Nichols" <austinnichols@gmail.com>
To: <statalist@hsphsun2.harvard.edu>
Sent: Monday, February 26, 2007 5:51 PM
Subject: Re: st: Re: bysort problem
Nikolaos A. Patsopoulos No loop should be necessary, as this example demonstrates. My guess is that this exercise is also not necessary, but as your ultimate desired outcome is not explicit, I cannot know if replacing values is actually a good idea for you. input var1 var2 .145 .14 .145 .15 .145 .15 .167 .15 1.89 .15 1.89 .16 1.89 .16 end egen oldgroup=group(var1 var2) bys var1 var2: gen obs=_n replace var2=var2+c(epsfloat)*obs egen newgroup=group(var1 var2) li, noo clean On 2/26/07, Nikolaos A. Patsopoulos <npatsop@cc.uoi.gr> wrote:The purpose of the code is to eliminate duplicate observations of var1 &*
var2 (combination).
In the firest pass the algorithm fixes duplicates but new ones might
comeup, so it should run as long as noone is left. The correction is
too small for the real data (the ones here are dummy ones just to test
the code) and the possibility of duplicates very small but still present.
var2 is changed not var1. This was a mistake I made on earlier email.
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