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Re: st: AW: Formatting tables with estpost & esttab


From   Eduardo Nunez <enunezb@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: AW: Formatting tables with estpost & esttab
Date   Sun, 4 Oct 2009 19:17:54 -0400

Hi Martin,

It did work pretty good for discrete variables. For continuous
variables, I would like a code that provide me side by side the
meanpuls-minusSD for the two categories of Foreign and a third column
with the p-value from ttest.

Thank you so much in advance,

Eduardo



On Sun, Oct 4, 2009 at 5:36 PM, Martin Weiss <martin.weiss1@gmx.de> wrote:
>
> <>
>
>
>
> You can -estpost- all these results in a quite straightforward manner, and
> then -esttab- them with the matrix function of this command.  For instance,
> the lower panel of your table would be
>
> ***
> sysuse auto, clear
>
> estpost tab rep for, chi2
> esttab ., main(b) aux(colpct)  /*
> */ nostar unstack noobs nonum nonote  /*
> */ sca("chi2 Chi2 Value" "p corr. p-value")  /*
> */ sfmt(%4.3fc) wide compress
>
> ***
>
>
>
> HTH
> Martin
>
>
> -----Ursprüngliche Nachricht-----
> Von: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Eduardo Nunez
> Gesendet: Sonntag, 4. Oktober 2009 22:33
> An: statalist@hsphsun2.harvard.edu
> Betreff: st: Formatting tables with estpost & esttab
>
> Dear statalister,
>
> I have been trying to get the right code in estpost and esttab
> (without success) to format tables as the example below (using auto
> dataset):
>
>                         Domestic (N=52)                Foreign (N=22)
> P-value         Total (N=74)
>
> Price                       6179.3ą3189.0               6070.1ą2221.0
> 0.015           6146.0ą2912.4
>
> Mileage (mpg)                  19.54ą4.753              25.29ą6.310
> 0.006           21.29ą5.866
>
> Repair Record 1978, n(%)
> *0.000
> 1                                2 (4.17)
> 0 (0)
>        2 (2.9)
> 2                               8 (16.67)
> 0 (0)
>        8 (11.59)
> 3                               27 (56.25)
> 3 (14.29)                               30 (43.48)
> 4                               9 (18.75)
> 9 (42.86)                               18 (26.09)
> 5                               2 (4.17)
> 9 (42.86)                               11 (15.94)
>
> *Omnibus P-value
>
>
>
>
> The meanąSD  [or median (IQR) when appropriate] for each variable and
> for the total population with the p-value corresponding (either a
> t-test or ranksum test);
> For discrete variables, the n (%)...count(col percentage) and the
> p-value corresponding to chi2.
>
> I would really appreciate any help on this issue.
>
> Best wishes,
>
> Eduardo
>
> *
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>
>
> *
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>

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