explain.fisher: F Fisher Distribution Function Explained

Description Usage Arguments Details Value Note Author(s) Examples

View source: R/Statistics.R

Description

Step by step demonstration of the fisher distribution calculus.

Usage

1

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, josemanuel.gomezc@edu.uah.es
Juan Jose Cuadrado, jjcg@uah.es
Universidad de Alcala de Henares

Examples

1
2
3
4
5
6
7
  
  #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 Feb. 9, 2021, 1:05 a.m.