Fitting distributions with R
For each distribution there is the graphic shape and R statements to get graphics. Dealing with discrete data we can refer to Poisson’s distribution7 (Fig. 6) with probability mass function: ! ( , ) x f x e lx l =-l where x=0,1,2,… x.poi<-rpois(n=200,lambda=2.5) hist(x.poi,main="Poisson distribution") As concern continuous data we have:
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