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Re: st: superscript in SMCL


From   Eric Booth <ebooth@ppri.tamu.edu>
To   "<statalist@hsphsun2.harvard.edu>" <statalist@hsphsun2.harvard.edu>
Subject   Re: st: superscript in SMCL
Date   Thu, 21 Jul 2011 14:07:12 +0000

<>
As far as I can tell, it only works as text in graphs (see -help graph text-).

- Eric
__
Eric A. Booth
Public Policy Research Institute
Texas A&M University
ebooth@ppri.tamu.edu


On Jul 21, 2011, at 8:36 AM, Ricardo Ovaldia wrote:

> I will lide to use superscript on a display line. Is there a way to do this?
> 
> I tryed a couplr of things but they do not work:
> 
> . di " x {superscript:2}"
> x {superscript:2}
> 
> . di "{&function} x {superscript:2}"
> {&function} x {superscript:2}
> 
> 
> Thank you,
> Ricardo
> 
> Ricardo Ovaldia, MS
> Statistician 
> Oklahoma City, OK
> 
> 
> --- On Wed, 7/20/11, Ángel Rodríguez Laso <angelrlaso@gmail.com> wrote:
> 
>> From: Ángel Rodríguez Laso <angelrlaso@gmail.com>
>> Subject: Re: st: Two factor anova post test
>> To: statalist@hsphsun2.harvard.edu
>> Date: Wednesday, July 20, 2011, 3:54 PM
>> Sorry I misunderstood which factor
>> was significant.
>> 
>> I cannot give you any advice on carrying out post hoc tests
>> in ANOVA
>> in Stata, that is one answer to your question, because I
>> haven't done
>> any. But maybe this link can give you some clues:
>> 
>> http://www.ats.ucla.edu/stat/stata/faq/pairwise.htm
>> 
>> Best regars,
>> 
>> Angel Rodriguez-Laso
>> 
>> 2011/7/19 Ricardo Ovaldia <ovaldia@yahoo.com>:
>>> Thank you Angel. The term that is significant is race,
>> with three levels, therefore I am not completely sure which
>> means are different, and I do not understand how to use
>> -test-, or even if that is the correct way  to compare
>> them.
>>> 
>>> Thank you,
>>> Ricardo.
>>> 
>>> Ricardo Ovaldia, MS
>>> Statistician
>>> Oklahoma City, OK
>>> 
>>> 
>>> --- On Mon, 7/18/11, Ángel Rodríguez Laso <angelrlaso@gmail.com>
>> wrote:
>>> 
>>>> From: Ángel Rodríguez Laso <angelrlaso@gmail.com>
>>>> Subject: Re: st: Two factor anova post test
>>>> To: statalist@hsphsun2.harvard.edu
>>>> Date: Monday, July 18, 2011, 4:05 PM
>>>> Dear Ricardo;
>>>> 
>>>> If you were having many factors and many
>> interactions, you
>>>> should be
>>>> worried about and incresed alpha error level for
>> the
>>>> F-test, but with
>>>> 2 factors I doubt this is a problem. Moreover,
>> your p level
>>>> for the
>>>> significance of sex is far away from the
>> conventional 0.05,
>>>> while the
>>>> interaction sex*race is non-significant. Therefore
>> you can
>>>> conclude
>>>> that there is a significant difference only
>> between sexes.
>>>> Because
>>>> there are only two levels, there is no need to
>> carry out
>>>> any posthoc
>>>> test like Scheffe, because you already know which
>> means are
>>>> different,
>>>> those of men and women.
>>>> 
>>>> Best regards,
>>>> 
>>>> Angel Rodriguez-Laso
>>>> 
>>>> 2011/7/18 Ricardo Ovaldia <ovaldia@yahoo.com>:
>>>>> Hello,
>>>>> 
>>>>> I performed a two factor ANOVA; one factor
>> (sex) has 2
>>>> levels and the other factor (race) has 3 levels.
>> The
>>>> interaction term is not significant but one of the
>> factors,
>>>> race, is (p=0.0004). How can I determine which
>> means are
>>>> different while maintaining the experiment wise
>> type I error
>>>> rate.
>>>>> 
>>>>> If I had only one factor, I could use
>> -oneway- and
>>>> then use, for example, scheffe for multiple
>> comparisons. But
>>>> not sure what to do with two factors.
>>>>> 
>>>>> Thank you in advance,
>>>>> Ricardo
>>>>> 
>>>>> Ricardo Ovaldia, MS
>>>>> Statistician
>>>>> Oklahoma City, OK
>>>>> 
>>>>> 
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