# explain.fisher: F Fisher Distribution Function Explained In LearningRlab: Statistical Learning Functions

 explain.fisher R Documentation

## 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, josemanuel.gomezc@edu.uah.es
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 June 18, 2022, 1:06 a.m.