On 16.11.2011 16:08, Scott Raynaud wrote:
All right.  I upped my level 2 sample size to 60.  My log displays the 
following:

                  Simulation for sample sizes of  60  macro and unbalanced 
micro units
  Iteration remain= 990
  Iteration remain= 980
There were 27 warnings (use warnings() to see them)
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]

Looking at the warnings I see:

26: glm.fit: algorithm did not converge
27: In mer_finalize(ans) : gr cannot be computed at initial par (65)

The first 25 are like 26.  So, it seems I'm having the same problem as before.  
Again, if this is due to a column of zeroes in my x matrix, the best solution 
would be to assign zeroes to the fixed effects, but I'm not sure if there's a 
way to do this.

Why don't you simply delete that variable and hence don't estimate coefficients for it....

Uwe Ligges





----- Forwarded Message -----
From: Scott Raynaud<scott.rayn...@yahoo.com>
To: "r-help@r-project.org"<r-help@r-project.org>
Cc:
Sent: Wednesday, November 16, 2011 7:28 AM
Subject: Re: [R] package installtion

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.

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