Thanks very much for creating the example, Ben, and for alerting the rest
of us to rpubs.com.  I imagine I had seen an announcement of it but
obviously I didn't remember it.  If I could dare to make a suggestion for
what I would perceive as an improvement, I would swap the axes on the
violin plots.  To me it is always a waste in box plots, violin-plois,
density plots, etc. to have the horizontal axis, which in most cases can be
made longer and for which I believe it is easier to interpolate the
numerical value of a point, be the categorical axis and the vertical axis
be numerical.


On Tue, Dec 25, 2012 at 10:29 PM, Ben Bolker <bbolker@gmail.com> wrote:

> Martí Casals <mcasals@...> writes:
>
> >
> > Hello,
> >
> > I have a question. I worked with a study about performance on basketball.
> >
> > The final data employed for the analysis were composed of 2187 cases (27
> > players * 81 games), having followed a filtering process. I dealt with a
> > balanced study design with repeated measurements given that each player
> was
> > observed the same number of games, and therefore the player was
> considered
> > as a random effect. We carried out two mixed models, a Linear Mixed Model
> > (LMM) through the nlme library (Pinheiro) and a Poisson mixed model with
> > lme4 package (Bates) .
> >
> > *The reviewer  has one query about the number of cases required to
> satisfy
> > the assumptions of the modelling technique.*
> >
>
>   I tried an example:
>
> http://rpubs.com/bbolker/3324
>
>  You might want to redo this with input parameters that are more
> realistic for your specific situation ...
>
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>

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