LearningRlab (version 2.4)

explain.fisher: F Fisher Distribution Function Explained

Description

Step by step demonstration of the fisher distribution calculus.

Usage

explain.fisher(x,y)

Value

Numeric result and the process of this calculus explained.

Arguments

x

Should be a vector

y

Should be a vector

Author

Jose Manuel Gomez Caceres,
Juan Jose Cuadrado,
Universidad de Alcala de Henares

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.

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)