R help - Aug 2012 - transform RTs

Hello,

I'm trying to transform reaction times which are not normally distributed
to an ex gaussian or an
inverse gaussian distribution, but I don't really know how to use the
exGAUS() function.

Can someone show me a script in which data has been transformed?

Thanks in advance

k

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you might to do something like

library(SuppDists)
t = runif(100, 100, 500) # original RT
t_IG = qinvGauss(ecdf(t)(t)-0.5/length(t), 1, 16)
plot(density(t_IG))

but what is the purpose of it? Usually reaction times are thought to
follow a certain kind of distribution (e.g. an inverse Gaussian 
distribution).

Am 29.08.2012 17:54, schrieb Katja B?er:
> Hello,
>
> I'm trying to transform reaction times which are not normally
distributed
> to an ex gaussian or an
> inverse gaussian distribution, but I don't really know how to use the
> exGAUS() function.
>
> Can someone show me a script in which data has been transformed?
>
> Thanks in advance
>
> k
>
> 	[[alternative HTML version deleted]]
>
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