On Mon, 2009-04-27 at 08:30 -0500, Douglas Bates wrote: > This is related to using the matrix form of the response for a > binomial glmm. The refit method for a model fit by lmer is based on a > numeric vector response. >
thank you for this explanation. > Is it possible to use the expanded form (i.e. a vector of 0/1 values) > of the responses instead of the matrix form? > yes I could but I found that I could use the probability/weights form, at least in my case where I am simulating new binomial data with the observed number of trials. Eric Elguero > On Mon, Apr 27, 2009 at 7:20 AM, Eric Elguero <eric.elgu...@mpl.ird.fr> wrote: > > Dear R users, > > > > I'm trying to use function 'refit' from lme4 > > and I get this error that I can't understand: > > > >> refit(dolo4.model4,cbind(uu,50-uu)) > > Error in function (classes, fdef, mtable) : > > unable to find an inherited method for function "refit", for signature > > "mer", "matrix" > > > > if I try: > > > >> refit(dolo4.model4,uu) > > Error in asMethod(object) : matrix is not symmetric [1,2] > > > > I get this error message that I can no more > > understand but which suggests that refit expects > > two columns. > > > > > > the initial model was: > > > >> dolo4.mod...@call > > glmer(formula = cbind(sortis, restes) ~ mean.co2 + (1 | sujet), > > data = dollo4.df, family = binomial) > > > > > > > > R version 2.9.0 (2009-04-17) > > > > and > > > > Package: lme4 > > Version: 0.999375-28 > > Date: 2008-12-13 > > > > thank you in advance > > > > e.e. > > > > ______________________________________________ > > 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. > > ______________________________________________ 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.
