# Compute the Value of Poisson Density in R Programming – dpois() Function

Last Updated : 04 Jan, 2022

dpois() function in R Language is used to compute the Poisson Density for a set of Integer values. It also creates a density plot of poisson distribution.

Syntax: dpois(vec, lambda)
Parameters:
vec: Sequence of integer values
lambda: Average number of events per interval

Example 1:

## Python3

 `# R program to compute ` `# Poisson Density`   `# Sequence of x-values` `x <``-` `seq(``-``10``, ``10``, by ``=` `1``)`   `# Calling dpois() Function` `y <``-` `dpois(x, ``lambda` `=` `5``)` `y`

Output:

``` [1] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
[7] 0.000000000 0.000000000 0.000000000 0.000000000 0.006737947 0.033689735
[13] 0.084224337 0.140373896 0.175467370 0.175467370 0.146222808 0.104444863
[19] 0.065278039 0.036265577 0.018132789```

Example 2:

## Python3

 `# R program to compute ` `# Poisson Density`   `# Sequence of x-values` `x <``-` `seq(``-``10``, ``20``, by ``=` `1``)`   `# Calling dpois() Function` `y <``-` `dpois(x, ``lambda` `=` `15``)`   `# Plot a graph` `plot(y)`

Output: