Anupit <[email protected]>:
I don't think that the -clogit- you want to run will ever converge...
but on your data management issue alone--
You could use -cross- but that is likely slow as well. Try
clear
set mem 250m
set obs `=1e6'
g long persid=_n
expand 12
bys persid: gen choiceid=_n
On Thu, Oct 16, 2008 at 10:57 AM, Supnithadnaporn, Anupit
<[email protected]> wrote:
> Hello,
>
> Martin and Nick, thank you so much. Your suggestion works very well.
>
> I am sorry for being unclear about my question.
> I will clarify it now. I have a large dataset around 1 million records. There are
> around 20 variables. I would like to run the clogit regression, which requires me
> to reshape the data into the long form. Basically, it is the model of a person
> choosing a product from the choice set of 12. Thus, the total records would be of
> 12 million after reshaping.
>
> In the beginning, I tried with the smaller sample and reshape worked very slow.
> Then, I thought I should start with only 2 ID variables: person ID and choice ID (1-12).
> I created the wide form data of only 2 ID variables, reshaped it to the long form, and
> lastly merged other variables that are associate with person and choice respectively.
>
> However, even with the only 2 ID variables, it took a long time for reshape to finish
> for the small sample of the total 1 million records. That is why I try to find the
> faster way to create the empty dataset with 2 ID variables first. Then my next step
> is to merge the information about a person and the choice.
>
> I hope this is clear enough. And if you and others have other better approach to
> prepare the data like this, please let me know. There are a lot more for me to learn
> from all of you.
>
> Thank you,
> Anupit
>
>
> ----- "Nick Cox" <[email protected]> wrote:
>
>> Martin's advice looks good.
>>
>> But Anupit's question doesn't hang together for me. The specific
>> example, and even longer ones of the same form, don't strike me as
>> -reshape- questions at all as they involve creating new data in
>> structured form.
>>
>> By the way, for large datasets make sure to use -egen long- or -egen
>> double- if you need to.
>>
>> But if you had a -reshape- question, strict sense, I doubt you could
>> speed things up much by programming it yourself with -forvalues- or
>> -foreach-. That would, broadly speaking, mean that you were a better
>> Stata programmer than the Stata developers. There could well be
>> exceptions, but I'd guess that this statement would be true much more
>> often than its converse.
>>
>> Nick
>> [email protected]
>>
>> Martin Weiss
>>
>> - h egen,seq()-
>>
>> Supnithadnaporn, Anupit
>>
>> Would you please suggest me how to create data in the long form
>> by *not* using reshape? I would like to avoid reshape because reshape
>> takes very very long time. In fact, the final & total number of
>> records
>> that I have to create would be around 12,000,000.
>>
>> I think foreach and forvalues can do this work.
>> But, I am a novice in Stata programming and could not figure out so
>> far.
>>
>> In the beginning, I have only Obsid which is created by
>>
>> gen Obsid = _n
>>
>> The desired data would look like this:
>>
>> Obsid Vid Imp
>> 1 1 1
>> 2 1 2
>> 3 1 3
>> 4 1 4
>> 5 2 1
>> 6 2 2
>> 7 2 3
>> 8 2 4
>>
>> ...
>>
>>
>> 100 25 4
>>
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
