R/Data.R
fitBin.Rd
The function will fit the Binomial distribution when random variables, corresponding frequencies and probability value are given. It will provide the expected frequencies, chi-squared test statistics value, p value and degree of freedom so that it can be seen if this distribution fits the data.
fitBin(x,obs.freq,p=0)
x | vector of binomial random variables. |
---|---|
obs.freq | vector of frequencies. |
p | single value for probability. |
The output of fitBin
gives the class format fitB
and fit
consisting a list
bin.ran.var
binomial random variables.
obs.freq
corresponding observed frequencies.
exp.freq
corresponding expected frequencies.
statistic
chi-squared test statistics value.
df
degree of freedom.
p.value
probability value by chi-squared test statistic.
fitB
fitted probability values of dbinom
.
phat
estimated probability value.
call
the inputs of the function.
$$x = 0,1,2,...$$ $$0 \le p \le 1$$ $$obs.freq \ge 0$$
NOTE : If input parameters are not in given domain conditions necessary error messages will be provided to go further.
No.D.D <- 0:7 #assigning the random variables Obs.fre.1 <- c(47,54,43,40,40,41,39,95) #assigning the corresponding frequencies #fitting when the random variable,frequencies are given. fitBin(No.D.D,Obs.fre.1)#>#> Call: #> fitBin(x = No.D.D, obs.freq = Obs.fre.1) #> #> Chi-squared test for Binomial Distribution #> #> Observed Frequency : 47 54 43 40 40 41 39 95 #> #> expected Frequency : 1.59 13.41 48.3 96.68 116.11 83.66 33.49 5.75 #> #> estimated probability value : 0.5456498 #> #> X-squared : 2911.434 ,df : 6 ,p-value : 0