If I use the command coef(model) this extracts the coefficients in the
model, however if I try exp(coef(model)) I receive an error:

Error in exp(coef(model)) : Non-numeric argument to mathematical function

I could manually get the exp of each factor in my model..... but as I have a
large model (and also have numerous other models to produce), I was
wondering if there was an automated method

Regards

Et

On Thu, Apr 8, 2010 at 11:27 AM, E T <2nuzzbot@gmail.com> wrote:

> odds.ratios = exp(coefs(model))
>
> Thanks, however unfortunately when I try the above command I receive the
> following error:
>
> Error: could not find function "coefs"
>
> Regards
>
> Et
>
>
>
>
> On Wed, Apr 7, 2010 at 5:47 PM, Daniel Ezra Johnson <
> danielezrajohnson@gmail.com> wrote:
>
>> something like odds.ratios = exp(coefs(model))
>>
>>
>> On Apr 7, 2010, at 12:28 PM, E T <2nuzzbot@gmail.com> wrote:
>>
>>  Hi all,
>>>
>>> Apologies for the simplicity of my question.... however any advice is
>>> greatly appreciated. Thanks
>>>
>>> Is there a specific command available to obtain the odds ratios produced
>>> from a multilevel logistic model?
>>>
>>> I have estimated a multi-level logistic model using the lme4 package. I
>>> can
>>> obtain results using the 'summary' command, however I would like to
>>> obtain
>>> the computed odds ratios.
>>> (Similar to the output that can be produced for logistic GLM using the
>>> logistic.display command from the epicalc package).
>>>
>>>   [[alternative HTML version deleted]]
>>>
>>> _______________________________________________
>>> R-sig-mixed-models@r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>>>
>>
>

	[[alternative HTML version deleted]]


