On 5/10/2011 3:12 PM, Thomas Lumley-2 [via R] wrote: > On Tue, May 10, 2011 at 2:50 PM, jour4life <[hidden email] > </user/SendEmail.jtp?type=node&node=3512894&i=0&by-user=t>> wrote: > > > Hello all, > > > > I am wondering if there is a way to specify sampling weights for an ols > > model using sample weights. > > > > For instance, right now, my code is: > > > > fit.ex<-lm(y~x1+x2+x3+...xk,data=dataset,weights=weightvariable.) > > summary(fit.ex) > > > > But, there is almost no difference in the coefficients nor standard > errors. > > I am skeptical that I am using the option correctly since many posts > state > > that the "weights" option is for weighted least squares. Or is this > the same > > thing? > > You want svyglm() in the survey package. > > -thomas > > -- > Thomas Lumley > Professor of Biostatistics > University of Auckland > > ______________________________________________ > [hidden email] > </user/SendEmail.jtp?type=node&node=3512894&i=1&by-user=t> 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-tp3510865p3512894.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>. > > Thanks very much!!
Carlos -- View this message in context: http://r.789695.n4.nabble.com/sample-weights-in-ols-tp3510865p3512975.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.
