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RE: st: RE: Extract elements from string variables


From   "Martin Weiss" <[email protected]>
To   <[email protected]>
Subject   RE: st: RE: Extract elements from string variables
Date   Thu, 9 Jul 2009 01:13:40 +0200

<>


Conor will have to put the returned value into single quotes, though...

***
sysuse auto, clear
sum rep, mean
//must be `r(max)', not r(max)
forval i = 1/`r(max)' {
	di `i'
	}	
***



HTH
Martin


-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Howard Lempel
Sent: Donnerstag, 9. Juli 2009 01:07
To: [email protected]
Subject: RE: st: RE: Extract elements from string variables

This is probably not the most efficient way to solve your problem, but one
method follows.  Assume that you have used -split- already and your
duplicate variable is equivalent to my newid from my previous example.

sum duplicate
forval i = 1/r(max) {
	replace advisor = advisorindividual`i' if duplicate==`i'
	}
drop advisorindividual?

Hope this helps.
Howie

-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of
[email protected]
Sent: Wednesday, July 08, 2009 6:53 PM
To: [email protected]
Subject: RE: st: RE: Extract elements from string variables

Yes the names are separated by commas

----------------------------------------
> From: [email protected]
> To: [email protected]
> Date: Wed, 8 Jul 2009 18:49:46 -0400
> Subject: RE: st: RE: Extract elements from string variables
>
> No problem.
>
> Are your names separated by commas, then?
>
> -----Original Message-----
> From: [email protected]
[mailto:[email protected]] On Behalf Of
[email protected]
> Sent: Wednesday, July 08, 2009 6:45 PM
> To: [email protected]
> Subject: RE: st: RE: Extract elements from string variables
>
> Thanks Howie,
>
> That is a pretty good estimate of what the data set looks like, however
the names I am using are often of different forms:
> Mr John Smith, Dr. Seuss, etc.
>
> So I don't believe that I can use -word-.
>
> Also, I've tried using split, but it generates new variables, which I can
use to obtain my goal, but the code is then tedious and kind of disgusting,
i.e
>
> gen advisor = advisorindividual1 if duplicate == 1. all the way through
the max amount.
>
> and then drop the variables advisorindividual1 through 15.
>
> Does anyone know if it would be possible to do something along the lines
of:
> gen advisor = advisorindividual`i' if duplicate == `i'?
>
> Thanks again,
> Conor
>
> ----------------------------------------
>> From: [email protected]
>> To: [email protected]
>> Date: Wed, 8 Jul 2009 14:57:10 -0400
>> Subject: st: RE: Extract elements from string variables
>>
>> Conor,
>>
>> An illustration of your data might help. For now, I assume that your data
started out something like this, where origob is the original observation
number for each group of names, newid is the new observation number, and X
and Y are some other variables:
>>
>> origob names X Y
>> 1 "Alex Charles Henry" 123 456
>> 2 "Mary Liz" 789 324
>>
>> And now looks something like this:
>>
>> origob newid names X Y
>> 1 1 "Alex Charles Henry" 123 456
>> 1 2 "Alex Charles Henry" 123 456
>> 1 3 "Alex Charles Henry" 123 456
>> 2 1 "Mary Liz" 789 324
>> 2 2 "Mary Liz" 789 324
>>
>> And you want this:
>> origob newid names name X Y
>> 1 1 "Alex Charles Henry" "Alex" 123 456
>> 1 2 "Alex Charles Henry" "Charles" 123 456
>> 1 3 "Alex Charles Henry" "Henry" 123 456
>> 2 1 "Mary Liz" "Mary" 789 324
>> 2 2 "Mary Liz" "Liz" 789 324
>>
>>
>> If this is right, you can go from the second stage to the third stage by
doing the following:
>>
>> bysort origob: gen name = word(names, _n)
>>
>> Hope this helps.
>> Howie
>>
>> -----Original Message-----
>> From: [email protected]
[mailto:[email protected]] On Behalf Of
[email protected]
>> Sent: Wednesday, July 08, 2009 2:37 PM
>> To: [email protected]
>> Subject: st: Extract elements from string variables
>>
>>
>> In the data set I have a string variable with the names of several
people. However, I want to look at the relationship across each individual,
so I am trying to separate the names.
>>
>> What I have done: expanded the observations based on how many individuals
are in each observation's string variable. Labeled the duplicate
observations 1, 2, 3, etc.
>>
>> What I need now, is a command that will take the number in my duplicates
and take the corresponding individual's name with respect to its position in
the string variable, separated by a comma.
>>
>> Any insight would be helpful.
>>
>> Thanks,
>> Conor
>>
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>
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