LearningRlab (version 2.2)

explain.poisson: 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

Value

Numeric result and the process of this calculus explained.

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.

Examples

# NOT RUN {
    #data creation
    lam = 2
    k = 3
    explain.poisson(k,lam)
  
# }