Hi Georgiana, Take a look at the betareg package at http://cran.r-project.org/web/packages/betareg/index.html
HTH, Jorge.- On Mon, Mar 19, 2012 at 10:05 AM, Georgiana May <> wrote: > Hello, > I want to determine the regression relationship between a proportion (y) > and a continuous variable (x). > Reading a number of sources (e.g. The R Book, Quick R,help), I believe I > should be able to designate the model as: > > model<-glm(formula=proportion~x, family=binomial(link="logit")) > > this runs but gives me error messages: > Warning message: > In eval(expr, envir, enclos) : non-integer #successes in a binomial glm! > > If I transform the proportion variable with log, it doesn't like that > either (values not: 0<y<1) > > I understand that the binomial function concerns successes vs. failures and > can use those raw data, but the R Book and other sources seem to suggest > that proportion data are usable as well. Not so? > > Thank you, > Georgiana May > > [[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. > [[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.
