[R] Query : Chi Square goodness of fit test

[priti desai]

If we have the data base of frauds given below


 no. of  frauds = variable

variable
<-c(4,1,6,9,9,10,2,4,8,2,3,0,1,2,3,1,3,4,5,4,4,4,9,5,4,3,11,8,12,3,10,0,
7)

pmf  <- dpois(i, lambda, log = FALSE)  # prob. mass function of variable

How to apply chi-square goodness of fit to test, Sample coming from
Poisson distribution.
How to calculate observed frequencies & expected frequencies, after that
how to calculate chi 2 test and interpret the result  



The formula which I have used & answer which I am getting is as follows,


chisq.test(variable, p=pmf, simulate.p.value =FALSE, correct = FALSE)



        Chi-squared test for given probabilities

data:  No_of_Frouds 
X-squared = 1.043111e+15, df = 32, p-value < 2.2e-16

Warning message:
Chi-squared approximation may be incorrect in: chisq.test(No_of_Frouds,
p = pmf, simulate.p.value = FALSE, correct = FALSE) 
 


But the answer is not correct. 

Please suggest me the correct variable, calculations & formula in R.

 Awaiting your positive reply.
 
  Regards,
  Priti.