Very simple, but clever and perfect solution. I should have got the idea...
Thanks very much for your help!

Balazs

2011/11/12 Reinhold Kliegl <reinhold.kliegl@gmail.com>

> How about scale inversion, i.e. relabeling 0:100 to 100:0?
> Reinhold Kliegl
>
> 2011/11/12 Balázs Lestár <lestar70@gmail.com>:
> > Hi All,
> >
> > I've just met the first negatively skewed distribution of my life!
> > Challenging. Looks exactly like a Poisson, but with a left skew. I have
> > discrete data points between 0 and 100.
> > I tried to look for distribution with left skew, but I couldn't find any
> > more than:
> > 1. Yeah, they exist, but they are very rare.
> > 2. Transformations like: log(max(x)+1 - x) or sqrt(max(x)+1 - x) might
> > help. They don't in my case and also I think a GLM with the a fitting
> > distribution would be much more appropriate.
> >
> > Does anyone know how to implement negatively skewed distributions in
> GLMMs?
> >
> > Bests,
> > Balazs
> >
> >        [[alternative HTML version deleted]]
> >
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> > https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
> >
>

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