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Compute the Value of F Density in R Programming - df() Function

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

Last Updated : 04 Jan, 2022

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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:

Compute the Value of F Density in R Programming - df() Function

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Article Tags :

R Language
R Statistics

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