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 Böer:
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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