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st: inverting a stored table of regression results - then exporting to a cvs/excel file
From
"Benhoen2" <[email protected]>
To
<[email protected]>
Subject
st: inverting a stored table of regression results - then exporting to a cvs/excel file
Date
Wed, 3 Nov 2010 15:05:08 -0400
Hello statalisters,
I have a .do file that produces a stored set of results:
sysuse auto, replace
g rcat = int((100)*runiform())
egen catg = cut(rcat),group(4)
tab1 catg
eststo clear
qui levelsof catg, local(levels)
qui foreach i of local levels {
regress price mpg weight foreign
eststo model`i'
}
*
estout,cells(b(star fmt(3))) stats (r2_a N depvar, fmt(%5.2f %9.0g))
collabels(none)
This produces this output:
----------------------------------------------------------------------------
model0 model1 model2 model3
----------------------------------------------------------------------------
mpg 21.854 21.854 21.854 21.854
weight 3.465*** 3.465*** 3.465*** 3.465***
foreign 3673.060*** 3673.060*** 3673.060*** 3673.060***
_cons -5853.696 -5853.696 -5853.696 -5853.696
----------------------------------------------------------------------------
r2_a 0.48 0.48 0.48 0.48
N 74 74 74 74
depvar price price price price
----------------------------------------------------------------------------
I will run a similar .do file with a relatively small number of regressors
yet over a relatively large number of groups (n=400). Ideally I would like
to be able to invert the output so that the regressors are across the top
and the model numbers are rows. Is that possible? I played around with
"estout matrix(matname)" but was unclear how to apply this. Any help here
would be great.
Secondly I want to export this output to a csv or excel file for further
work. Again, ideally I could preserve the format, for instance the stars.
Any ideas? I was able to clumsily do this by copying and special pasting
"transpose", removing rows etc. into excel, but it would be great if I could
automate at least parts of it.
Thanks, as always,
Ben
Ben Hoen
LBNL
Office: 845-758-1896
Cell: 718-812-7589
[email protected]
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