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Re: st: RE: How to get a list of the names of characters associated with a variable
From
Eric Booth <[email protected]>
To
[email protected]
Subject
Re: st: RE: How to get a list of the names of characters associated with a variable
Date
Thu, 4 Mar 2010 15:49:31 -0600
>
When I saw Austin's solution for searching the char of the variables, my first thought was that -ds- should be able to do that--but I couldn't get it to work with -ds-. I'm not sure what I'm doing wrong here :
**
sysuse auto, clear
note mpg: inverse of good measure
ds, has(char *meas*)
di "`r(varlist)'"
ds, has(char *m*)
di "`r(varlist)'"
ds, has(note "inverse of good measure")
di "`r(varlist)'"
**
Also, Austin's note on using index() is an important warning for the example I posted as well.
~ Eric
__
Eric A. Booth
Public Policy Research Institute
Texas A&M University
[email protected]
Office: +979.845.6754
On Mar 4, 2010, at 3:20 PM, Austin Nichols wrote:
> Clyde Schechter:
> Try this example:
>
> prog lookfc
> version 8.2
> syntax [varlist], t(string)
> foreach v of varlist `varlist' {
> loc c: char `v'[]
> loc nall 0
> foreach i of local c {
> loc j: char `v'[`i']
> loc k: subinstr loc j `"`t'"' "", all count(loc n)
> loc nall=`nall'+`n'
> }
> if `nall' > 0 {
> loc var `var' `v'
> }
> }
> if "`var'"!="" ds `var'
> end
> sysuse auto, clear
> note mpg: inverse of good measure
> lookfc, t(meas)
>
> One problem with using index() or strpos() is that they will truncate
> strings; according to -help limits-, the maximum length of the
> contents of a characteristic is 8,681 characters for Small Stata and
> 67,784 characters for Stata/IC, Stata/SE, and Stata/MP.
>
> On Thu, Mar 4, 2010 at 3:44 PM, Nick Cox <[email protected]> wrote:
>> Perhaps you mean characteristics. See -help extended_fcn-.
>>
>> Nick
>> [email protected]
>>
>> Clyde Schechter MA, MD
>>
>> I'm trying to write an ado file that will generalize the -lookfor-
>> command
>> so that it also searches for the target text in characters associated
>> with
>> variables. (I need this because I have a data set with a large number
>> of
>> variables, and the key information is often found not in the label
>> [which
>> was truncated at 80 characters], but in a character--and the characters
>> are not consistently named.)
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