AW: st: RE: AW: Re:

["Martin Weiss" <martin.weiss1@gmx.de>]

<> 


" The reason why I have so many different datasets is that I read somewhere
that
Stata cannot filter observations properly, i.e. without deleting the
remaining
dataset."

Not so, as you correctly guessed. Use the -if- qualifier!


" With regard to the centile(5 50 95) command, it has only been a bit of
laziness
that I didn´t try to omit the 5 and 50-centiles - as soon as it worked, I
was
happy :-)"

Omit 5 and 50, and then use - post internal (r(lb_1)) (r(c_1)) (r(ub_1))-
for the -postfile-



HTH
Martin


-----Ursprüngliche Nachricht-----
Von: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von
aschaich@smail.uni-koeln.de
Gesendet: Mittwoch, 24. Februar 2010 01:07
An: statalist@hsphsun2.harvard.edu
Betreff: RE: st: RE: AW: Re:

As I told in my first post, I´m an absolute Stata rookie.
The reason why I have so many different datasets is that I read somewhere
that
Stata cannot filter observations properly, i.e. without deleting the
remaining
dataset. That´s probably nonsense... So in order to deduce conditional
statements, I split the original (huge) dataset into numerous sub-datasets.

With regard to the centile(5 50 95) command, it has only been a bit of
laziness
that I didn´t try to omit the 5 and 50-centiles - as soon as it worked, I
was
happy :-)

And by the way: Thanks a lot for the hint with the loop - I´m gonna try it
right
away! Here too, someone told me that looping within a filename wasn´t
possible...


Best,
Andi


Zitat von Martin Weiss <martin.weiss1@gmx.de>:

>
> <>
>
> It is good to hear you are satisfied with the solution, but I am not quite
> sure what your data structure looks like. You request three centiles from
> Stata with your call -centile PF_norm, centile(5 50 95)-, but you store
only
> one of them, the 95% one, via -postfile-. This is your prerogative, but it
> seems inefficient to me. What are the 5% and 50% quantile requests good
for
> in your call?
>
>
> You said in an earlier post that you have to repeat this process
frequently,
> so you may want to know that you can employ a loop to call your datasets:
>
>
> *******
> forv i=1/2{
> use "C:\...\ALL_complete_1.`i'.dta"
> //... your other commands
> }
> *******
>
> The endpoint for the index here is 2, you can enter the appropriate number
> yourself.
>
> Does each of those datasets really only contain one interesting variable?
> Why are they dispersed across many datasets (just being curious)?
>
>
> HTH
> Martin
>
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of
> aschaich@smail.uni-koeln.de
> Sent: Dienstag, 23. Februar 2010 19:03
> To: statalist@hsphsun2.harvard.edu
> Subject: Re: st: RE: AW: Re:
>
> Hey guys,
>
>
> sorry for having bothered you again, I found the solution in the meantime!
> In case someone is interested, here´s the syntax:
>
>
> log using test, replace
> use "C:\...\ALL_complete_1.1.dta"
> centile PF_norm, centile(5 50 95)
> postfile internal lower_ci95 centile_95 upper_ci95 using "filename",
replace
> post internal (r(lb_3)) (r(c_3)) (r(ub_3))
> clear
> use "C:\...\ALL_complete_1.2.dta"
> centile PF_norm, centile(5 50 95)
> post internal (r(lb_3)) (r(c_3)) (r(ub_3))
> postclose internal
> clear
> log close
>
>
> Still thanks for the help you gave me so far!
> Andreas
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