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# 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:

``` [1] 0.0009765625 0.0048828125 0.0134277344 0.0268554688 0.0436401367
[6] 0.0610961914 0.0763702393 0.0872802734 0.0927352905 0.0927352905
[11] 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)`

Output: