Well, I could increase the sample size for my second level in hopes that my simulation would run correctly. However, a better solution would be to assign values of 0 to the fixed effects for this pass through the simulation. I'm such a novice with R that I don't know if that can be done. I've looked at the documentation but it's still not clear.
----- Original Message ----- From: Uwe Ligges <lig...@statistik.tu-dortmund.de> To: Scott Raynaud <scott.rayn...@yahoo.com> Cc: "r-help@r-project.org" <r-help@r-project.org> Sent: Wednesday, November 16, 2011 2:44 AM Subject: Re: [R] package installtion On 15.11.2011 21:34, Scott Raynaud wrote: > OK, I think I see the problem. Rather than setting method="nAGQ" I need > nAGQ=1. Doing so throws the following error: Congratulations, now you understood what R meant with its message "Argument ‘method’ is deprecated." > "Warning messages: > 1: glm.fit: algorithm did not converge > 2: In mer_finalize(ans) : gr cannot be computed at initial par (65) > Error in diag(vcov(fitmodel)) : > error in evaluating the argument 'x' in selecting a method for function >'diag': Error in asMethod(object) : matrix is not symmetric [1,2]" > > I need some help interpreting and debugging this. One thing that I suspect > is that there is a column of zeroes in the design matrix, So have you not even tried to get rid of that? Oh, come on. Uwe Ligges > but I'm not sure. Any other possibilities here and how can I diagnose? > > ----- Original Message ----- > From: Scott Raynaud<scott.rayn...@yahoo.com> > To: "r-help@r-project.org"<r-help@r-project.org> > Cc: > Sent: Tuesday, November 15, 2011 2:11 PM > Subject: Re: package installtion > > Never mind-I fixed it. > > My script is throwing the following error: > > "Error in glmer(formula = modelformula, data = data, family = binomial(link = > logit), : > Argument ‘method’ is deprecated. > Use ‘nAGQ’ to choose AGQ. PQL is not available." > > I remember hearing somewhere that PQL is no longer available on lme4 but I > have AGQ specified. > > Here's the line that fits my model: > > (fitmodel<- lmer(modelformula,data,family=binomial(link=logit),method="AGQ")) > > If I change it to nAGQ I still get an error. > > Any ideas as to what's going on? > > ----- Original Message ----- > From: Scott Raynaud<scott.rayn...@yahoo.com> > To: "r-help@r-project.org"<r-help@r-project.org> > Cc: > Sent: Tuesday, November 15, 2011 1:50 PM > Subject: package installtion > > I'm getting the following error in a script: "Error: could not find function > "lmer." I'm wondering of my lme4 package is installed incorrectly. Can > someone tell me the installation procedure? I looked at the support docs but > couldn't translate that into anything that would work. > > ______________________________________________ > 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.
