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##### How to implement Negative Binomial Distribution in R?
###### Description

To implement the negative binomial distribution using R programming.

#### Four main functions in binomial distribution:

dnbinom(x, size= ,prob=)

• Gives height of the probability distribution at each point

pnbinom(x, size= ,prob=)

• Gives the cumulative probability of an event

qnbinom(p, size= ,prob=)

• It takes the probability value and gives a number whose cumulative value matches the probability value.

rnbinom(x, size= ,prob=)

• Used to generate random numbers whose distribution is binomial.
• x — vector
• Size — Number of success trials
• Prob — Probability of success trails
###### Sapmle Code

#Negative Binomial Distribution
#dnbinom
x y plot(x,y,col=”blue”)

#pnbinom
y plot(x,y,col=”red”)

#qnbinom
y print(y)

#rnbinom
x hist(x,col=285)