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Re: st: STATA 12 very slow compared to STATA 10


From   William Buchanan <william@williambuchanan.net>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   Re: st: STATA 12 very slow compared to STATA 10
Date   Tue, 12 Mar 2013 10:13:51 -0700

-h mata- There absolutely is support for looping procedures in mata, they just use a different syntax.


Sent from my iPhone

On Mar 12, 2013, at 9:46, Sara Borelli <saraborelli77@gmail.com> wrote:

> Nick,
> 
> thank you very much for your suggestions
> 
> I did not use Mata before, I tried to play around with it but it seems
> it cannot be combined with loop...
> Since I have several loops in my program, would you have an example or
> suggestion of how I could implement some of my program using Mata and
> in loop?
> 
> Thanks for any input you might have
> 
> Sara
> 
> 
> On Tue, Mar 12, 2013 at 10:29 AM, Nick Cox <njcoxstata@gmail.com> wrote:
>> Maarten [NB] understated the difficulty for everyone but you, as the
>> speed of Stata [NB] can depend on what else is running, how much
>> memory is available, etc., etc.
>> 
>> A quite different comment is what are you doing here and why? I see
>> lots of pushing variables in and out of Stata matrices and some
>> bootstrap sampling, so four points as you are worried about speed.
>> 
>> 0. I see no point in using Stata matrices for storing data unless you
>> want to do matrix manipulations.
>> 
>> 1. Mata matrices are faster than Stata matrices. That was true in Stata 10 too.
>> 
>> 2. When bootstrapping, it seems easiest to hold each sample in memory
>> once, process it and then throw it away.
>> 
>> 3. -mmerge- [source not given, but last updated on SSC in 2002?]  is
>> long since superseded by a revised -merge-.
>> 
>> Naturally I can't comment on the rest of the program.
>> 
>> Nick
>> 
>> On Tue, Mar 12, 2013 at 1:40 PM, Sara Borelli <saraborelli77@gmail.com> wrote:
>>> Hi Martin
>>> you are right, I did not ask the question correctly. I thought there
>>> was maybe a common problem for STATA 12 being slow in general that
>>> others might have encountered. I apologize for that
>>> 
>>> I write here below an extract of the program I am running. If you have
>>> any insight of what is going wrong I would really appreciate it. I
>>> also tried to run the entire program using "version 10" at the
>>> beginning of the do file, but it is still very slow
>>> I let the program run all night but is still not done. When I was
>>> using STATA 10 it was taking only 15 minutes overall
>>> 
>>> 
>>> before this "mat define" command line I am running some glm estimation
>>> that works at usual speed
>>> 
>>> mat define P=J(618,1,.)
>>> 
>>> set seed 55982264
>>> 
>>> forvalues x=1/500 {
>>> 
>>> mat define BS_r`x'=J(618,1,.)
>>> 
>>> use data1
>>> for each var of varlist v1 v2 v3 v4 ....v10 {
>>> bsample
>>> mkmat `var', mat(Z_`var'_r`x')
>>> mat BS_r`x'=BS_r`x',Z_`var'_r`x'
>>> }
>>> drop v1-v10
>>> svmat BS_r`x', names(col)
>>> gen id=_n
>>> save BS_r`x', replace
>>> 
>>> use data2, clear
>>> gen id=_n
>>> mmerge id using BS_r`x'
>>> save replication `x'
>>> predict prediction`x'
>>> mkmat prediction`x', mat(P_`x')
>>> mat P=P, P_`x'
>>> }
>>> 
>>> It seem to run smoothly until the "predict", but seems to get slow at
>>> the time of running the command  mkmat prediction`x', mat(P_`x')
>>> 
>>> thanks for any insight you might have
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