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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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