Compute Randomly Drawn Negative Binomial Density in R Programming – rnbinom() Function

rnbinom() function in R Language is used to compute random density for negative binomial distribution.

Syntax: rnbinom(N, size, prob)
Parameters:
N: Sample Size 
size: Number of trials 
prob: Probability 

Example 1:

Python3

# R program to compute random
# Negative Binomial Density

# Setting seed for
# random number generation
set.seed(1000)

# Set sample size
N <- 20

# Calling rnbinom() Function
y <- rnbinom(N, size = 10, prob = 0.5)
y

Output:

 [1]  9 12  8  4 10  3  9 19  3 14 11 11  6 15 14 12  6  5  5  4

Example 2:

Python3

# R program to compute random
# Negative Binomial Density

# Setting seed for
# random number generation
set.seed(1000)

# Set sample size
N <- 100

# Calling rnbinom() Function
y <- rnbinom(N, size = 50, prob = 0.5)

# Plot a graph
plot(y)

Output: