Why are you trying to take the matrix trace of a regression model?
(That's the only hit for mtrace on my system at least)

Perhaps you mean to use traceback() or, even more useful,
options(error = recover)

Michael

On Thu, Nov 17, 2011 at 9:49 AM, Scott Raynaud <scott.rayn...@yahoo.com> wrote:
> 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
>
>
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>

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