Compute Cumulative Chi Square Density in R Programming - pchisq() Function

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:

Python3 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:

Python3 1==

# 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:

Compute Cumulative Chi Square Density in R Programming - pchisq() Function

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