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Re: st: selecting specific information from univar


From   Nick Cox <[email protected]>
To   "[email protected]" <[email protected]>
Subject   Re: st: selecting specific information from univar
Date   Sun, 21 Apr 2013 01:11:48 +0100

I have already given an answer to your question.

You haven't answered my questions, on behalf of list members.

How are we supposed to know what your full real name is?

stef ffgbsfdvs ? katalabainotipota ? Andrews ?

You haven't explained where -univar- comes from.

Please read the FAQ before posting, as you were asked to do when you
joined the list.

To get what you want, you will need to clone -univar- to get it to
produce less or to do something else. Alternatively, -tabstat- can be
used to produce the four measures you want with an option call -s(mean
p25 p50 p75)-

Nick
[email protected]


On 20 April 2013 23:01, stef ffgbsfdvs <[email protected]> wrote:
> thanks NIck
>
> I use
>
>  univar gdppercent, by(ratingsm) box
>
> in Stata 10. But this command produces multiple tables that contain
>
> n     Mean     S.D.      Min      .25      Mdn      .75      Max
>
> in each table.
> So my question is how do I produce the same tables but  only with:
> mean   .25 Mdn and .75
>
> Thanks
>
> Andrews
>
> On Sat, Apr 20, 2013 at 10:23 PM, Nick Cox <[email protected]> wrote:
>> Statalist FAQ explains:
>>
>> 1. You are asked to post on Statalist using your full real name (2.1.3)
>>
>> 2. Say what commands you are using. If they are not part of official
>> Stata, say where they came from: the SJ/STB, SSC, or other archives.
>> (3.3)  (Applies to -univar-.)
>>
>> Some scrutiny of [R] summarize shows that you can pick and choose
>>
>> sysuse auto
>> qui su mpg, detail
>> di %2.1f r(mean) "   " r(p25) "   "  r(p50) "  "  r(p75)
>>
>> 21.3   18   20  25
>>
>> The price of getting exactly what you want is write exactly the code you need.
>>
>> Nick
>> [email protected]
>>
>> On 20 April 2013 22:06, stef ffgbsfdvs <[email protected]> wrote:
>>
>>> Using "univar covariate" I get a bunch of information; that is,
>>>
>>> n     Mean     S.D.      Min      .25      Mdn      .75      Max
>>>
>>> I want my output to show only: mean   .25 Mdn and .75
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