Dear list,

I have got an array with observational values t and I would like to fit 
a geometric distribution to it.
As I understand the geometric distribution, there is only one 
parameter, the probability p. I estimated it by 1/mean(t).

Now I plotted the estimated density function by
plot(ecdf(t),do.points=FALSE,col.h="blue");

and I would like to add the geometric distribution. This should be 
possibly with the function pgeom().

Unfortunately I do not understand what is meant by the argument q, 
"vector of quantiles representing the number of failures in a sequence 
of Bernoulli trials before success occurs" according to R help.

I am familiar with quantiles, but why do I need them here?
Does anybody know what this means? What am I supposed to do?

Thanks again for all the help.
Cheers, Dax
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