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Re: st: scaling by average


From   Nick Cox <njcoxstata@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: scaling by average
Date   Wed, 12 Dec 2012 10:21:08 +0000

Alternatively, and again if these are weekly data,

tsset state date, delta(7)
gen total = score*count
tssmooth ma s_total = total, w(1 1 1)
tssmooth ma s_count = count, w(1 1 1)
gen average = s_total/s_count

Nick

On Wed, Dec 12, 2012 at 9:51 AM, Nick Cox <njcoxstata@gmail.com> wrote:

> The -sum()- here looks wrong as the function returns cumulative sums
> and your additions are explicit any way. If I understand you correctly
> you want
>
> tsset state date
>
> gen average = (score* count + L7.score*L7.count + F7.score*F7.count) /
> (count + L7.count + F7.count)
>
> but if this is weekly data, then
>
> tsset state date, delta(7)
> gen average = (score* count + L1.score*L1.count + F1.score*F1.count) /
> (count + L1.count + F1.count)
>
> is simpler.
>
> Nick
>
> On Tue, Dec 11, 2012 at 9:10 PM, Claudius Li
> <claudiusli@janysanalytics.com> wrote:
>
>> I've got an other question on the panel data set from my previous post.
>> I've reshaped it so that I now have
>>
>> date state score time <other stuff>
>>
>> I want to add a variable normalized_score = score - average_for_day
>> Where average_for_day = sum(score * count + score[n-7] * count[n-7]
>> +score[n+7] * count[n+7] ... ) / sum(count + count[n-7] + count[n+7]
>> ... )
>>
>> It seems a bit complicated to do this with loops. Is there a simpler way?
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