Thanks so much. I really appreciate it. Carlos
On 5/11/2011 3:18 PM, Thomas Lumley-2 [via R] wrote: > On Thu, May 12, 2011 at 2:43 AM, jour4life <[hidden email] > </user/SendEmail.jtp?type=node&node=3515742&i=0>> wrote: > > I have a follow up question. When using svyglm, it does not matter > that I am > > not using survey design and only weights? > > In other words, > > > > fit<-svyglm(y~x1+x2+...xk,data=dataset,weights=weightvariable) > > > > Or am I going to have to construct a survey design variable, using > only the > > weight variable? > > You will have to construct a survey design. It's not difficult. > > my.first.survey.design <- svydesign(id=~1, weights=~weightvariable, > data=dataset) > > fit<-svyglm(y~x1+x2+...xk, design=my.first.survey.design) > > -thomas > > -- > Thomas Lumley > Professor of Biostatistics > University of Auckland > > ______________________________________________ > [hidden email] </user/SendEmail.jtp?type=node&node=3515742&i=1> > mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > > ------------------------------------------------------------------------ > If you reply to this email, your message will be added to the > discussion below: > http://r.789695.n4.nabble.com/sample-weights-in-ols-tp3510865p3515742.html > > To unsubscribe from sample weights in ols, click here > <http://r.789695.n4.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_code&node=3510865&code=am91cjRsaWZlQGdtYWlsLmNvbXwzNTEwODY1fC0xNjIzNjcwNDM1>. > > -- View this message in context: http://r.789695.n4.nabble.com/sample-weights-in-ols-tp3510865p3516252.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
