--
Tomas
I should explain that you can use -tabout- with non-survey data.
However the command uses a -svy- command internally to generate and
display standard errors and confidence intervals. Accordingly you
must still -svyset- your data, but leave it with its non-survey
characteristics (no weights, PSUs = observations).. The command
"svyset _n" does that for the data, and the option "svy" in -tabout-
makes it happen.
-Steve
On Fri, May 29, 2009 at 9:15 PM, <[email protected]> wrote:
> Weights have nothing to do with it. Simply -svyset- the data and use
> the "svy" option
>
> *****************************************************
> sysuse nlsw88,clear
> svyset _n
> tabout south race smsa coll using table3.txt, replace ///
> c(row ci) f(1 1 ) clab(Row_% 95%_CI) svy ///
> npos(lab) per
> ****************************************************
>
> -Steve
>
> On Fri, May 29, 2009 at 5:38 PM, Martin Weiss <[email protected]> wrote:
>> <>
>>
>> The dataset employed in the pdf is not a survey dataset as such- it is
>> turned into one on page 29 via
>>
>> -gen wt = int(uniform()*10)-
>>
>>
>> and, by implication,
>>
>> -svyset wt-
>>
>> which sort of tricks Stata into thinking it is dealing with survey data,
>> although the weights are pure noise.
>>
>> I think you could do the same to your data...
>>
>>
>> HTH
>> Martin
>> _______________________
>> ----- Original Message ----- From: "Tomas M" <[email protected]>
>> To: <[email protected]>
>> Sent: Friday, May 29, 2009 9:43 PM
>> Subject: st: Generating comparison/contingency tables
>>
>>
>>> Hello Statalisters,
>>>
>>> Essentially, I want to create a comparison table, comparing a set of
>>> categorical predictor variables between outcome variables. I specifically
>>> want the Row %, with the 95% CI.
>>>
>>> The exact table I want can be found at:
>>> http://www.ianwatson.com.au/stata/tabout_tutorial.pdf, page 20. This
>>> -tabout- command would be perfect, except that it requires survey data for
>>> that given example.
>>>
>>>
>>> I want:
>>>
>>> --------------.......Outcome 1.......Outcome 2.......Outcome 3.....--
>>> ---Predictor 1.....Row %, 95% CI...Row %, 95% CI...Row %, 95% CI...--
>>> ---Predictor 2.....Row %, 95% CI...Row %, 95% CI...Row %, 95% CI...--
>>> ---Predictor 3.....Row %, 95% CI...Row %, 95% CI...Row %, 95% CI...--
>>> ---Predictor 4.....Row %, 95% CI...Row %, 95% CI...Row %, 95% CI...--
>>> ---Predictor 5.....Row %, 95% CI...Row %, 95% CI...Row %, 95% CI...--
>>> ---Predictor 6.....Row %, 95% CI...Row %, 95% CI...Row %, 95% CI...--
>>>
>>> Does anyone know how to do this with Stata?
>>>
>>> I have tried estpost (but no -by- option with CI), fsum (but this switches
>>> around the rows and columns), tabstat (which allows me to switch rows and
>>> columns to my preferred orientation, but there no CI option).
>>>
>>> I would appreciate any help at all!
>>>
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