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Re: AW: AW: st: AW: mfxrcspline : error message in Stata11
From
SCHOUMAKER Bruno <[email protected]>
To
[email protected]
Subject
Re: AW: AW: st: AW: mfxrcspline : error message in Stata11
Date
Thu, 15 Jul 2010 15:03:05 +0200
***
_rmcoll `varlist', forcedrop
local xvars `r(varlist)'
poisson _d `xvars'
mfxrcspline, link(log) level(80) generate(marg margl margu)
***
Le 15/07/2010 14:59, SCHOUMAKER Bruno a écrit :
Thanks !
_rmcoll removes collinear variables if the option forcedrop is used
(otherwise they are flagged o.varname).
It now works with the following syntax
***
_rmcoll `varlist'==1, forcedrop
local xvars `r(varlist)'
poisson _d `xvars'
mfxrcspline, link(log) level(80) generate(marg margl margu)
***
Bruno
Le 15/07/2010 13:41, Martin Weiss a écrit :
<>
" So I guess I need to find a way of dropping the collinear variables
variables before running the models (or use Stata10)."
Try
*************
help _rmcoll
*************
Re your attempts to -version- your way out of the problem, see NJC`s
recent comment at
http://www.stata.com/statalist/archive/2010-07/msg00180.html
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von
SCHOUMAKER Bruno
Gesendet: Donnerstag, 15. Juli 2010 13:02
An: [email protected]
Betreff: Re: AW: st: AW: mfxrcspline : error message in Stata11
Thank you for your replies !
Below is a copy of the part around the error. I noticed that dumy102 and
bin103 had been transformed into o.dumy102 and o.bin103.
In the previous version, these variables were dropped automatically from
the regression model when there was collinearity, but it is no longer
the case in stata11 .
"As of Stata 11, variables are no longer dropped because of
collinearity. Instead, these variables are omitted and are labeled with
the “o.” operator in the column names of the resulting parameter
vector.", (http://www.stata.com/support/faqs/lang/post.html).
This is the cause of the problem. When I drop the collinear variables
before running the model, it works (adding "version 10.1:" before the
regression model and/or mfxrcspline does not solve the problem)
So I guess I need to find a way of dropping the collinear variables
variables before running the models (or use Stata10).
Best,
Bruno
***********
- local other : list other - notis
- if "`other'" != "" {
= if "_Iageg_5 _Iageg_6 _Iageg_7 _Iageg_8 _Iageg_9 _Iageg_10 rcsp1
rcsp2 rcsp3 rcsp4 rcsp5 dumy82 dumy8
> 7 dumy94 o.dumy102 bin82 bin87 bin94 bin102 bin83 bin88 bin95
o.bin103" != "" {
- foreach var of varlist `other' {
= foreach var of varlist _Iageg_5 _Iageg_6 _Iageg_7 _Iageg_8
_Iageg_9 _Iageg_10 rcsp1 rcsp2 rcsp3 rcsp4
> rcsp5 dumy82 dumy87 dumy94 o.dumy102 bin82 bin87 bin94 bin102 bin83
bin88 bin95 o.bin103 {
o. operator not allowed
sum `var' if `touse', meanonly
qui drop `var'
qui gen double `var' = r(mean)
}
}
***********
Le 15/07/2010 11:36, Martin Weiss a écrit :
<>
And yet, strangely, Bruno does not seem to have used the "factor
variable notation" in any way in his call to -ssc d mfxrcspline-. I
tried to recreate his problem, but all efforts failed. The
"click-to-run" examples in the help file do work as expected. So I
would ask Bruno to -set tr on- and report the area around the error...
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Maarten
buis
Gesendet: Donnerstag, 15. Juli 2010 11:31
An: [email protected]
Betreff: Re: st: AW: mfxrcspline : error message in Stata11
--- SCHOUMAKER Bruno wrote:
I used mfxrcspline with Stata10. I recently upgraded to
Stata11, ran on Stata11 the do file that worked (and
still works) with Stata10, and I
got the following error message
. mfxrcspline, link(log) level(80) generate(marg margl
margu)
o. operator not allowed
r(101);
r(101);
Do you know what this message means and how to solve it ?
--- On Thu, 15/7/10, Martin Weiss wrote:
The -program- sets -version- to 10. So the new features
under 11, in particular -fvvarlist-s, are not yet
implemented.
Martin maybe on to something. None of my programs allow the new
factor variable notation. This is not because I think that it is
a bad idea, but just because I haven't found the time to find
out how to implement it. I have tried out some examples with and
without the new factor variable notation, and indeed everything
works as expected as long as you don't use the factor variable
notation but errors are returned as soon as the factor varaibles
are used.
Thanks for the report,
Maarten
--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://www.maartenbuis.nl
--------------------------
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--
Bruno SCHOUMAKER
Centre de recherche en démographie et sociétés
Université catholique de Louvain
1-17 PLace Montesquieu
1348 Louvain-la-Neuve
BELGIUM
Tel. +32 10 474136
Fax. +32 10 472952
[email protected]
www.uclouvain.be/demo
*
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