explain.fisher: F Fisher Distribution Function Explained

In LearningRlab: Statistical Learning Functions

F Fisher Distribution Function Explained

Description

Step by step demonstration of the fisher distribution calculus.

Usage

explain.fisher(x,y)

Arguments

x	Should be a vector
y	Should be a vector

Details

To calculate the fisher distribution, the user should give two vectors of numbers. The result is a continuous probability distribution that arises frequently as the null distribution of a test statistic. We can saw fisher distribution formule in the fisher_ help document.

Value

Numeric result and the process of this calculus explained.

Note

A vector is created by c(), like c(1,2,3,4,5) creates a vector with the numbers: 1,2,3,4,5

Author(s)

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

Examples

  
  #data creation
  data <- c(10,4,5,7,3,4,1)
  data2 <- c(1,8,3,4,4,5,7)
  
  explain.fisher(data, data2)
    

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