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st: Re: weight and aggregate


From   "R.E. De Hoyos" <redeho@hotmail.com>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: Re: weight and aggregate
Date   Mon, 16 Aug 2004 12:26:17 +0100

Huong,

To calculate population's total income:

sum hhincome [aw=weight]

scalar totincome = `r(sum)'

Rafa

----- Original Message -----
From: "Hoang Thanh Huong(Yahoo)" <hhuong18@yahoo.com>
To: <statalist@hsphsun2.harvard.edu>
Sent: Sunday, August 15, 2004 2:23 AM
Subject: st: weight and aggregate


> Hi all,
>
> Anybody has this problem:
> - I have a variable on household income (at household level)
> -I have weight at household level.
> Now I want to calculate income of all houshols with weight. But how should
I
> do?
> Appreciate your help!
>
> Best,
> Huong
>
> ---- Original Message -----
> From: "tmmanini" <tmmanini@mailbox.syr.edu>
> To: <statalist@hsphsun2.harvard.edu>
> Sent: Sunday, August 15, 2004 5:04 AM
> Subject: st: ancova for repeated designs
>
>
> > I'm trying to run a supposed simple ancova model, controlling for
pre-test
> > values.  subjects are placed
> > in three groups and then tested at three different time points. I would
> like
> > to covary for the first time
> > point, examine the group*covariate interaction and calculate the
adjusted
> > means.  I've listed 10
> > subjects (I really have 32) below (g=group, t=time, y=depvar,
> x=covariate).  g
> > is a between factor, t is a
> > repeated factor.
> >
> > id g t y x
> > 1 1 1 1 1
> > 1 1 2 1 1
> > 1 1 3 1 1
> > 3 2 1 1 1
> > 3 2 2 1 1
> > 3 2 3 1 1
> > 4 3 1 5 5
> > 4 3 2 5 5
> > 4 3 3 1 5
> > 6 2 1 5 5
> > 6 2 2 4 5
> > 6 2 3 1 5
> > 7 3 1 6 6
> > 7 3 3 6 6
> > 7 3 2 6 6
> > 8 1 1 3 3
> > 8 1 2 3 3
> > 8 1 3 3 3
> > 9 1 1 6 6
> > 9 1 2 6 6
> > 9 1 3 6 6
> > 10 1 1 1 1
> > 10 1 2 1 1
> > 10 1 3 1 1
> >
> > When I run this with the 10 subjects listed above, I can't get the
> interaction
> > term b/c the df=0 (see
> > below)
> >
> > anova y x g / id | g t g*t x*g, cont(x) rep(t)
> >
> > Number of obs =      24     R-squared     =  0.9126
> > Root MSE      = .983192     Adj R-squared =  0.7990
> >
> > Source   Partial SS    df       MS           F     Prob > F
> > -----------+----------------------------------------------------
> > Model   100.958333    13  7.76602564       8.03     0.0012
> >
> > x         37.5     1        37.5      25.05     0.0075
> > g   2.98197901     2   1.4909895       1.00     0.4457
> > idg   5.98844884     4  1.49711221
> > -----------+----------------------------------------------------
> > t          7.6     2         3.8       3.93     0.0550
> > g*t   4.91666667     4  1.22916667       1.27     0.3437
> > x*g            0     0
> >
> > Residual   9.66666667    10  .966666667
> > -----------+----------------------------------------------------
> > Total      110.625    23  4.80978261
> >
> >
> > when I try the adjust command, I come up with blanks (below)
> >
> > adjust x, by(g t)
> >
> > Dependent variable: y Command: anova
> > Variable left as is: id
> > Covariate set to mean: x = 3.5
> >
> > t
> > g     1     2     3
> >
> > 1
> > 2
> > 3
> >
> > What is really annoying is the fact that I can use this same design in
> SPSS
> > and not have a problem, but I
> > would really like to use STATA.  I've examined all the material on the
> > listserv I can find about this topic,
> > which has lead me to this point, but if you have another resource please
> point
> > me in the right direction.
> >
> >
> >
> > *
> > *   For searches and help try:
> > *   http://www.stata.com/support/faqs/res/findit.html
> > *   http://www.stata.com/support/statalist/faq
> > *   http://www.ats.ucla.edu/stat/stata/
> >
> >
>
> *
> *   For searches and help try:
> *   http://www.stata.com/support/faqs/res/findit.html
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/
>
*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/



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