transform RTs
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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