I believe the problem is a column of zeroes in my x matrix. I have tried the suggestions in the documentation, so now to try to confirm the probelm I'd like to run debug. Here's where I think the problem is:
###~~~~~~~~~~ Fitting the model using lmer funtion ~~~~~~~~~~### (fitmodel <- lmer(modelformula,data,family=binomial(link=logit),nAGQ=1)) mtrace(fitmodel) I added the mtrace to catch the error, but get the following: Error in mtrace(fitmodel) : Can't find fitmodel How can I debug this? ----- Original Message ----- From: Rolf Turner <rolf.tur...@xtra.co.nz> To: Scott Raynaud <scott.rayn...@yahoo.com> Cc: "r-help@r-project.org" <r-help@r-project.org> Sent: Wednesday, November 16, 2011 6:04 PM Subject: Re: [R] package installtion On 17/11/11 05:37, Scott Raynaud wrote: > That might be an option if it weren't my most important predictor. I'm > thinking my best bet is to use MLWin for the estimation since it will > properly set fixed effects > to 0. All my other sample size simulation programs use SAS PROC IML which I >don't have/can't afford. I like R since it's free, but I can't work around >the problem > I'm currently having. This is the ``push every possible button until you get a result and to hell with what anything actually means'' approach to statistics. The probability of getting a *meaningful* result from this approach is close to zero. Why don't you try to *understand* what is going on, rather than wildly throwing every possible piece of software at the problem until one such piece runs? cheers, Rolf Turner ______________________________________________ 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.
