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Compute the Cumulative Poisson Density in R Programming – ppois() Function
• Last Updated : 25 Jun, 2020

`ppois()` function in R Language is used to compute the cumulative density function for Poisson distribution.

Syntax: ppois(vec, lambda)

Parameters:
vec: Sequence of integer values
lambda: Average number of events per interval

Example 1:

 `# R program to compute ``# Cumulative Poisson Density`` ` `# Sequence of x-values``x <``-` `seq(``-``10``, ``10``, by ``=` `1``)`` ` `# Calling ppois() Function``y <``-` `ppois(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 0.040427682
[13] 0.124652019 0.265025915 0.440493285 0.615960655 0.762183463 0.866628326
[19] 0.931906365 0.968171943 0.986304731
```

Example 2:

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

Output:

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