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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/

**Follow-Ups**:**st: Re: Re: weight and aggregate***From:*"Hoang Thanh Huong(Yahoo)" <hhuong18@yahoo.com>

**References**:**st: weight and aggregate***From:*"Hoang Thanh Huong(Yahoo)" <hhuong18@yahoo.com>

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