See
. ssc describe gsample
You could type
. gsample 600, id(cluster) wor
ben
On Thu, Jul 31, 2008 at 5:38 PM, Song <[email protected]> wrote:
> Hi All,
>
> I have a question about taking random samples from my data. My dataset has
> around 12,500 user ID's with 200,000 observations total and I want to take
> around 500-600 (number of users) random samples. The problem is that each
> member has multiple observations and I want to take all sub-observations for
> each member. Each ID has 4 to 21 observations. For example, if ID number 5
> has 10 observations, I want to take all 10 observations given ID number 5 is
> included in the sample.
>
> I tried the following and ended up with 580 number of users with around
> 8,800 observations. This method works, but I wonder if there is there any
> better way for this job, because I have to drop duplicated samples with this
> method.
>
> gen idcnt=_N
> bsample 600, cluster(id) /* sampling with replacement: I do not know how
> to take cluster samples without replacement. */
> bysort id: egen idcount=count(id)
> compare idcount idcnt
> duplicates tag, gen(dup)
> drop if dup==1 /* To drop duplicated samples */
>
> I would greatly appreciate your help.
> Reo.
> *
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