Hello,
Thank You for response.Yes,It is discrete data.I have tried discrete model
using goodfit() test.But that too is not working.Is there any other test for
discrete data?
When I try goodfit() test for discrete distribution:
gf<-goodfit(x[[1]],type= "nbinomial",method= "MinChisq")
where x[[1]]
Chenge your model, most likely.
You are telling us a) the response is discrete and b) there is a
substantial probability that the value is zero. The gamma distributon
is a model for a continuous response, your response is integer valued.
Perhaps you should consider something the Poisson or Negati
>
> Hello,
>
> I am trying to fit distribution for data consisting of 421 readings.It is
> basically no of requests arrived per minute.It contains many 0 entries as
> no of requests.When i use
> fd<-fitdistr(V2,"gamma")
> I get following error:
> Error in optim(x = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
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