# Compute the Negative Binomial Density in R Programming – dnbinom() Function

`dnbinom()` function in R Language is used to compute the value of negative binomial density. It also creates a plot of the negative binomial density.

Syntax: dnbinom(vec, size, prob)

Parameters:
vec: x-values for binomial density
size: Number of trials
prob: Probability

Example 1:

 `# R program to compute ` `# Negative Binomial Density ` ` `  `# Vector of x-values ` `x <``-` `seq(``0``, ``10``, by ``=` `1``) ` ` `  `# Calling dnbinom() Function ` `y <``-` `dnbinom(x, size ``=` `10``, prob ``=` `0.5``) ` `y `

Output:

```  0.0009765625 0.0048828125 0.0134277344 0.0268554688 0.0436401367
 0.0610961914 0.0763702393 0.0872802734 0.0927352905 0.0927352905
 0.0880985260
```

Example 2:

 `# R program to compute ` `# Negative Binomial Density ` ` `  `# Vector of x-values ` `x <``-` `seq(``0``, ``100``, by ``=` `1``) ` ` `  `# Calling dnbinom() Function ` `y <``-` `dnbinom(x, size ``=` `10``, prob ``=` `0.5``) ` ` `  `# Plot a graph ` `plot(y) `

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