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Re: st: RE: Re: xtmixed with log-transfered dependent variable: back to non-log on margins and marginsplot
From
Nick Cox <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: RE: Re: xtmixed with log-transfered dependent variable: back to non-log on margins and marginsplot
Date
Wed, 17 Apr 2013 20:22:47 +0100
Thanks for the details.
Your Stata is up-to-date.
Your -gllamm- is not up-to-date. See SSC for a version 10 years more
recent and install it using -ssc-.
. ssc type gllamm.ado
*! version 2.3.20 SRH 7 Sept 2011
program define gllamm, eclass
I can't say whether updating will fix your problem, but it will do no harm.
Nick
[email protected]
On 17 April 2013 19:24, Sun, Wensheng <[email protected]> wrote:
> Hi, please check the below regarding the gllamm I have installed. Thanks.
>
> . about
> Stata/IC 12.1 for Windows (64-bit x86-64)
> Revision 20 Mar 2013
> Copyright 1985-2011 StataCorp LP
> Total physical memory: 8344592 KB
> Available physical memory: 5329516 KB
> Single-user Stata perpetual license:
> Serial number: 30120591501
> Licensed to: Wensheng Sun
> Baylor College of Medicine
> . which gllamm
> c:\ado\plus\g\gllamm.ado
> *! version 2.1.03 27oct2001 (TSJ-2: st0005)
>
>
> ________________________________________
> From: [email protected] [[email protected]] On Behalf Of Nick Cox [[email protected]]
> Sent: Wednesday, April 17, 2013 12:22 PM
> To: [email protected]
> Subject: Re: st: RE: Re: xtmixed with log-transfered dependent variable: back to non-log on margins and marginsplot
>
> It's -margins- that is complaining. That's part of official Stata. So, report
>
> . about
> . which gllamm
>
> to provide a fuller picture of what you have installed.
> Nick
> [email protected]
>
>
> On 17 April 2013 17:40, Sun, Wensheng <[email protected]> wrote:
>> Hi Joseph,
>>
>> Thank you very much for the code. However, it seems my gllamm is different from your. The following is the error message.
>>
>> . margins, at(_Igirl_1=(0 1) age=(0(0.5)2.5))
>> Warning: cannot perform check for estimable functions.
>> e(sample) does not identify the estimation sample
>> r(322);
>>
>> . margins , at(_Igirl_1 = (0 1) age = (0(0.5)2.5))
>> Warning: cannot perform check for estimable functions.
>> e(sample) does not identify the estimation sample
>> r(322);
>>
>> I thought I already download everything I can get from gllamm including gllapred, runmlwin, and many others. Please help.
>>
>> Thanks.
>>
>> Wensheng
>>
>> ________________________________________
>> From: [email protected] [[email protected]] On Behalf Of Joseph Coveney [[email protected]]
>> Sent: Tuesday, April 16, 2013 9:06 PM
>> To: [email protected]
>> Subject: st: Re: xtmixed with log-transfered dependent variable: back to non-log on margins and marginsplot
>>
>> Wensheng Sun wrote:
>>
>> Hi, Please help. How to do post multilevel regression estimation after gllamm? I
>> tried "margins" command, it seems not work. Please fix it for me. Thanks.
>>
>> [snip]
>>
>> --------------------------------------------------------------------------------
>>
>> You could try something like that below.
>>
>> If a variable is not a factor variable (that is, if it is not included in the
>> model with the i.variable notation*), then it is considered by Stata to be a
>> continuous variable. So, despite its being coded 0/1, _I_girl_1 is considered
>> by Stata to be a continuous variable.
>>
>> -margins- requires its first arguments to be factor variables--variables that
>> were in the model as i.variable. Because _I_girl_1 is a continuous variable and
>> not a factor variable, you must treat it as a continuous variable when you refer
>> to it with -margins-.
>>
>> Joseph Coveney
>>
>> *-anova- and -manova- are notable exceptions.
>>
>>
>> [Model fitting omitted for brevity. To see it, look at my most recent post in
>> this thread.]
>>
>> . margins , at(_Igirl_1 = (0 1) age = (0(0.5)2.5))
>> Warning: cannot perform check for estimable functions.
>>
>> Predictive margins Number of obs = 198
>> Model VCE : OIM
>>
>> Expression : predict()
>>
>> 1._at : age = 0
>> _Igirl_1 = 0
>>
>> 2._at : age = 0
>> _Igirl_1 = 1
>>
>> 3._at : age = .5
>> _Igirl_1 = 0
>>
>> 4._at : age = .5
>> _Igirl_1 = 1
>>
>> 5._at : age = 1
>> _Igirl_1 = 0
>>
>> 6._at : age = 1
>> _Igirl_1 = 1
>>
>> 7._at : age = 1.5
>> _Igirl_1 = 0
>>
>> 8._at : age = 1.5
>> _Igirl_1 = 1
>>
>> 9._at : age = 2
>> _Igirl_1 = 0
>>
>> 10._at : age = 2
>> _Igirl_1 = 1
>>
>> 11._at : age = 2.5
>> _Igirl_1 = 0
>>
>> 12._at : age = 2.5
>> _Igirl_1 = 1
>>
>> ------------------------------------------------------------------------------
>> | Delta-method
>> | Margin Std. Err. z P>|z| [95% Conf. Interval]
>> -------------+----------------------------------------------------------------
>> _at |
>> 1 | 1.828415 .042767 42.75 0.000 1.744593 1.912237
>> 2 | 1.74101 .029594 58.83 0.000 1.683007 1.799013
>> 3 | 1.99406 .0351737 56.69 0.000 1.925121 2.062999
>> 4 | 1.906655 .0277658 68.67 0.000 1.852235 1.961075
>> 5 | 2.159704 .0286555 75.37 0.000 2.103541 2.215868
>> 6 | 2.072299 .0290146 71.42 0.000 2.015432 2.129167
>> 7 | 2.325349 .0241011 96.48 0.000 2.278112 2.372586
>> 8 | 2.237944 .0329929 67.83 0.000 2.173279 2.302609
>> 9 | 2.490994 .0227236 109.62 0.000 2.446456 2.535531
>> 10 | 2.403589 .0388715 61.83 0.000 2.327402 2.479775
>> 11 | 2.656638 .0250527 106.04 0.000 2.607536 2.705741
>> 12 | 2.569233 .0459263 55.94 0.000 2.479219 2.659247
>> ------------------------------------------------------------------------------
>>
>> *
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