explain.poisson {LearningRlab} | R Documentation |
Poisson Distribution Function Explained
Description
Step by step demonstration of the Poisson distribution calculus.
Usage
explain.poisson(k,lam)
Arguments
k |
Should be a numbers |
lam |
Should be a numbers |
Details
To calculate the Poisson distribution, the user should give two number ( the number of times the phenomenon and the number of occurrences). The result is a discrete probability distribution that expresses, from a mean frequency of occurrence, the probability that a certain number of events will occur during a certain period of time. We can saw the Poisson distribution correlation formule in the poisson_ help document.
Value
Numeric result and the process of this calculus explained.
Note
Each variable is a number. Example: lam <- 2 | k <- 3
Author(s)
Jose Manuel Gomez Caceres, josemanuel.gomezc@edu.uah.es
Juan Jose Cuadrado, jjcg@uah.es
Universidad de Alcala de Henares
Examples
#data creation
lam = 2
k = 3
explain.poisson(k,lam)