LearningRlab (version 2.2)

explain.fisher: 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

Value

Numeric result and the process of this calculus explained.

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

# NOT RUN {
  
  #data creation
  data <- c(10,4,5,7,3,4,1)
  data2 <- c(1,8,3,4,4,5,7)
  
  explain.fisher(data, data2)
    
# }