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# 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:

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