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Re: st: reverse lookup
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: reverse lookup
Date
Tue, 8 Jan 2013 21:48:57 +0000
Here's a sketch. (Also, what about string variables?)
program vallookup
version 8.2
syntax varname(numeric) [if] [in] [, local(str) scalar(str) ]
marksample touse, strok
qui count if `touse'
if r(N) == 0 error 2000
capture confirm numeric variable `varlist'
su `varlist' if `touse', meanonly
if r(min) != r(max) {
di as err "specification not satisfied by single value"
exit 498
}
di r(min)
if "`local'" != "" {
c_local `local' = r(min)
}
if "`scalar'" != "" {
scalar `scalar' = r(min)
}
end
On Tue, Jan 8, 2013 at 9:33 PM, Jeph Herrin <[email protected]> wrote:
> Yes, the Mata construct is the ideal. And obviously, one must have 1-1
> mapping; this I usually check by:
>
> sum rate if period==1
> local rate=cond(`r(min)'==`r(max)',r(min),.)
>
> I was thinking of writing some programs to do lookups like this, since I
> have been doing so many, and thought I'd ask first for an alternative.
>
> thanks,
> Jeph
>
>
> On 1/8/2013 2:27 PM, Nick Cox wrote:
>>
>> My short answer is that yes, this is awkward, but you are working with
>> the most obvious way to do it in Stata. The problem is that in general
>>
>> ... if <condition>
>>
>> is not guaranteed to identify precisely one observation. It might
>> yield one, or zero or more than one.
>>
>> In your case you need == in your code and can use
>>
>> su rate if period == 1, meanonly
>> local value = r(min)
>>
>> The misnamed -meanonly- is quieter and more efficient. If the
>> condition identifies precisely one observation, then clearly r(min),
>> r(mean), r(max) will be identical.
>>
>> The problem is discussed from a different angle in
>>
>> SJ-6-4 dm0025 . . . . . . . . . . Stata tip 36: Which observations?
>> Erratum
>> . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N.
>> J. Cox
>> Q4/06 SJ 6(4):596 (no commands)
>> correction of example code for Stata tip 36
>>
>> SJ-6-3 dm0025 . . . . . . . . . . . . . . Stata tip 36: Which
>> observations?
>> . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N.
>> J. Cox
>> Q3/06 SJ 6(3):430--432 (no
>> commands)
>> tip for identifying which observations satisfy some
>> specified condition
>>
>> Mata is not surprisingly less awkward here:
>>
>> : y = 1::10
>>
>> : x = runiform(10,1)
>>
>> : x , y
>> 1 2
>> +-----------------------------+
>> 1 | .5044846558 1 |
>> 2 | .0174561641 2 |
>> 3 | .680281796 3 |
>> 4 | .9221656218 4 |
>> 5 | .1094441491 5 |
>> 6 | .7122591983 6 |
>> 7 | .765775156 7 |
>> 8 | .0226029507 8 |
>> 9 | .9540165765 9 |
>> 10 | .2686450339 10 |
>> +-----------------------------+
>>
>> : select(x, y :== 1)
>> .5044846558
>>
>> Nick
>>
>> On Tue, Jan 8, 2013 at 7:07 PM, Jeph Herrin <[email protected]> wrote:
>>
>>> I've just written the same awkward code for the untoldth time, and I'm
>>> thinking there must be a better way to do it.
>>>
>>> The problem is to get a particular value of a variable into a local which
>>> corresponds to a particular value of another variable. I think this is
>>> usally call reverse lookup. For example, I might have -period- and -rate-
>>> and want to store the value of -rate- which corresponds to period = 1. My
>>> lazy solution is
>>>
>>>
>>> sum rate if period = 1
>>> local rate1 `=r(mean)'
>>>
>>> That is, I summarize a single observation, then put the mean in local. Is
>>> there a better way to do this?
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