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RE: st: RE: Re: xtmixed with log-transfered dependent variable: back to non-log on margins and marginsplot


From   "Sun, Wensheng" <wsun@bcm.edu>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   RE: st: RE: Re: xtmixed with log-transfered dependent variable: back to non-log on margins and marginsplot
Date   Wed, 17 Apr 2013 13:24:33 -0500

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: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] On Behalf Of Nick Cox [njcoxstata@gmail.com]
Sent: Wednesday, April 17, 2013 12:22 PM
To: statalist@hsphsun2.harvard.edu
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
njcoxstata@gmail.com


On 17 April 2013 17:40, Sun, Wensheng <wsun@bcm.edu> 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: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] On Behalf Of Joseph Coveney [stajc2@gmail.com]
> Sent: Tuesday, April 16, 2013 9:06 PM
> To: statalist@hsphsun2.harvard.edu
> 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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