Hi Martin,
I tried to loop the code applying estpost&esttab over several
variables, but no success yet. Below is the code.
The idea is to save into Excel for further manipulation.
-----------------------------------------------------------------------------------
sysuse auto, clear
xtile price3= price, nq(3)
xtile weight3= weight, nq(3)
xtile mpg3= mpg, nq(3)
tempname hdle
capt erase info.dta
postfile `hdle' str10 var n1 colperc1 /*
*/ n2 colperc2 pval overalln overallcolperc /*
*/ using info
foreach var of varlist rep price3 weight3 mpg3{
estpost tab `var' for, chi2
eststo
esttab *, main(b) aux(colpct) nostar unstack noobs nonum nonote
sca("chi2 Chi2 Value" "p corr. p-value") sfmt(%4.3fc) wide compress,
using example.csv, replace
}
postclose `hdle'
use info, clear
l, abbrev(12) noobs sep(0)
-----------------------------------------------------------------------------------
Thank you in advance,
Eduardo
2009/10/5 Martin Weiss <[email protected]>:
>
> <>
>
> I assume you want the p-value for the F-test in -oneway-? If so:
>
> **************
> webuse apple, clear
> oneway weight treatment
> di Ftail(r(df_m),r(df_r),r(F) )
> **************
>
> Re several variables it would be helpful to know where you want the results
> to end up. Is it a csv file or a tex file or something else? Depending on
> the answer to this question, you can of course loop with -forach var of
> varlist- and dump the results into a file...
>
>
>
> HTH
> Martin
>
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]] On Behalf Of Eduardo Nunez
> Sent: Montag, 5. Oktober 2009 19:48
> To: [email protected]
> Subject: Re: st: AW: Formatting tables with estpost & esttab
>
> Martin,
>
> This is the code you sent me for discrete variables:
>
> ***
> 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
>
> ***
>
> It works for just one variable. However, how do I loop over several
> variables? I used tab2, firstonly but it seems estpost doesn't
> recognize it.
> I also tried to adapt the program for continuous variables but this
> time when the stratifying variable is categorical with several levels
> (3,4, 5 levels). I tried to use oneway, but it did not store the
> p-value.
> How should I get it? Also, can I reuse the same program, when using
> stratifying variables with diferent levels? Or it must be created
> tailored for the same number of levels? For instances a program for 3
> levels, another for 4 levels and so on.
>
>
> Best wishes,
>
> Eduardo
>
>
>
> 2009/10/5 Martin Weiss <[email protected]>:
>>
>> <>
>>
>>
>> Add the -detail- option to your -summarize-s! You are asking for stuff
> that
>> Stata only releases upon request :-)
>>
>>
>>
>> HTH
>> Martin
>>
>>
>> -----Ursprüngliche Nachricht-----
>> Von: [email protected]
>> [mailto:[email protected]] Im Auftrag von Eduardo Nunez
>> Gesendet: Montag, 5. Oktober 2009 17:10
>> An: [email protected]
>> Betreff: Re: st: AW: Formatting tables with estpost & esttab
>>
>> Hi Martin,
>>
>> Stata/MP 11.0 for Windows (64-bit x86-64)
>> Born 26 Aug 2009
>> Copyright (C) 1985-2009
>>
>> Total physical memory: 4191812 KB
>> Available physical memory: 2227852 KB
>>
>> Single-user 2-core Stata perpetual license:
>> Serial number: XXXXXXXXXXXX
>> Licensed to: Eduardo Nunez
>> Personal license
>>
>>
>> I tried to adapt the code for means-SD and ttest to medians IQR and
>> median unsuscefully. Below is the code. I get the p-value for each
>> variable but not the descriptive statistics.
>> What am i doing wrong?
>>
>> Here is the code:
>>
>> **********************
>> use "C:\Users\Eduardo\Desktop\HF dataset - August 24,
>> 2009\Longitudinal_lymphocyte_analysis.dta", clear
>> tempname hdle
>> capt erase info.dta
>> postfile `hdle' str10 var Median_0 IQR25_0 IQR75_0 /*
>> */ Median_1 IQR25_1 IQR75_1 pval Overallmedian OverallIQR25 OverallIQR75
> /*
>> */ using info
>>
>> foreach var of varlist los edad_b fc_ingreso tas_ingreso tad hb leucos
>> neutrofilos linfocitos monocitos cr acurico colesterol ldl hdl tga na{
>> sum `var' if !sexo
>> loc Median_0=r(p50)
>> loc IQR25_0=r(p25)
>> loc IQR75_0=r(p75)
>> sum `var' if sexo
>> loc Median_1=r(p50)
>> loc IQR25_1=r(p25)
>> loc IQR75_1=r(p75)
>> median `var', by(sexo) exact
>> local pval=r(p_exact)
>> sum `var'
>> post `hdle' ("`var'") (`Median_0') (`IQR25_0') (`IQR75_0') /*
>> */ (`Median_1') (`IQR25_1') (`IQR75_1') (`pval') /*
>> */ (r(p50)) (r(p25)) (r(p75))
>> }
>>
>> postclose `hdle'
>>
>> use info, clear
>> l, abbrev(12) noobs sep(0)
>> *********************************************************
>> Thisw is the result I got:
>>
> +---------------------------------------------------------------------------
>> -------------------------------------------------------+
>> | var Median_0 IQR25_0 IQR75_0 Median_1 IQR25_1
>> IQR75_1 pval Overallmed~n OverallIQR25 OverallIQR75 |
>>
>>
> |---------------------------------------------------------------------------
>> -------------------------------------------------------|
>> | los . . . . .
>> . .4098835 . . . |
>> | edad_b . . . . .
>> . .0000138 . . . |
>> | fc_ingreso . . . . .
>> . .6778672 . . . |
>> | tas_ingres . . . . .
>> . .000103 . . . |
>> | tad . . . . .
>> . .4437288 . . . |
>> | hb . . . . .
>> . 7.24e-11 . . . |
>> | leucos . . . . .
>> . .0460077 . . . |
>> | neutrofilo . . . . .
>> . .00087 . . . |
>> | linfocitos . . . . .
>> . .833713 . . . |
>> | monocitos . . . . .
>> . 1.11e-06 . . . |
>> | cr . . . . .
>> . 1.36e-08 . . . |
>> | acurico . . . . .
>> . .0039871 . . . |
>> | colesterol . . . . .
>> . 7.56e-08 . . . |
>> | ldl . . . . .
>> . .0002156 . . . |
>> | hdl . . . . .
>> . .0047893 . . . |
>> | tga . . . . .
>> . 1.35e-09 . . . |
>> | na . . . . .
>> . .6747179 . . . |
>>
>>
> +---------------------------------------------------------------------------
>> -------------------------------------------------------+
>>
>>
>> One more thing...
>> The code you sent me for discrete variables:
>> ***
>> 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
>>
>> ***
>> How do I loop over several variables? I used tab2, firstonly but it
>> seems estpost doesn't recognize it.
>>
>>
>>
>> Note: In biomedical sciences these are the traditional way to express
>> table 1 for the manuscript where you show how baseline characteristics
>> are distributed over your exposure variable.
>> I imagine a lot of statalister that work in biomedical science would
>> take advantage of this automatic process to save time.
>>
>> I am very grateful of your help and excuse my ignorance in Stata
> programing.
>>
>> Best wishes,
>>
>> Eduardo
>>
>>
>>
>>
>>
>> 2009/10/5 Martin Weiss <[email protected]>:
>>>
>>> <>
>>>
>>> Not sure how you would get the upper panel into esttab, but you can sure
>> get
>>> it into a Stata file which you could export in any way you see fit...
>>>
>>>
>>> *************
>>> sysuse auto, clear
>>>
>>> tempname hdle
>>>
>>> capt erase info.dta
>>>
>>> postfile `hdle' str10 var dommean domsd /*
>>> */ formean forsd pval overallmean overallsd /*
>>> */ using info
>>>
>>>
>>> foreach var of varlist price mpg{
>>> sum `var' if !for
>>> loc dommean=r(mean)
>>> loc domsd=r(sd)
>>> sum `var' if for
>>> loc formean=r(mean)
>>> loc forsd=r(sd)
>>> ttest `var', by(foreign)
>>> local pval=r(p)
>>> sum `var'
>>> post `hdle' ("`var'") (`dommean') (`domsd') /*
>>> */ (`formean') (`forsd') (`pval') /*
>>> */ (r(mean)) (r(sd))
>>> }
>>>
>>> postclose `hdle'
>>>
>>> use info, clear
>>> l, abbrev(12) noobs sep(0)
>>> *************
>>>
>>>
>>>
>>> HTH
>>> Martin
>>>
>>> -----Ursprüngliche Nachricht-----
>>> Von: [email protected]
>>> [mailto:[email protected]] Im Auftrag von Eduardo
> Nunez
>>> Gesendet: Montag, 5. Oktober 2009 01:18
>>> An: [email protected]
>>> Betreff: Re: st: AW: Formatting tables with estpost & esttab
>>>
>>> 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 <[email protected]>
> 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: [email protected]
>>>> [mailto:[email protected]] Im Auftrag von Eduardo
>> Nunez
>>>> Gesendet: Sonntag, 4. Oktober 2009 22:33
>>>> An: [email protected]
>>>> 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
>>>>
>>>> *
>>>> * For searches and help try:
>>>> * http://www.stata.com/help.cgi?search
>>>> * http://www.stata.com/support/statalist/faq
>>>> * http://www.ats.ucla.edu/stat/stata/
>>>>
>>>>
>>>> *
>>>> * For searches and help try:
>>>> * http://www.stata.com/help.cgi?search
>>>> * http://www.stata.com/support/statalist/faq
>>>> * http://www.ats.ucla.edu/stat/stata/
>>>>
>>>
>>> *
>>> * For searches and help try:
>>> * http://www.stata.com/help.cgi?search
>>> * http://www.stata.com/support/statalist/faq
>>> * http://www.ats.ucla.edu/stat/stata/
>>>
>>>
>>> *
>>> * For searches and help try:
>>> * http://www.stata.com/help.cgi?search
>>> * http://www.stata.com/support/statalist/faq
>>> * http://www.ats.ucla.edu/stat/stata/
>>>
>>
>> *
>> * For searches and help try:
>> * http://www.stata.com/help.cgi?search
>> * http://www.stata.com/support/statalist/faq
>> * http://www.ats.ucla.edu/stat/stata/
>>
>>
>> *
>> * For searches and help try:
>> * http://www.stata.com/help.cgi?search
>> * http://www.stata.com/support/statalist/faq
>> * http://www.ats.ucla.edu/stat/stata/
>>
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
>
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
