explain.poisson: Poisson Distribution Function Explained

In LearningRlab: Statistical Learning Functions

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, [e-mail]
Juan Jose Cuadrado, [e-mail]
Universidad de Alcala de Henares

Examples

    #data creation
    lam = 2
    k = 3
    explain.poisson(k,lam)
  

LearningRlab documentation built on Aug. 31, 2023, 1:08 a.m.