explain.chisquared: Chisquared Distribution Function Explained

Description Usage Arguments Details Value Note Author(s) Examples

View source: R/Statistics.R

Description

Step by step demonstration of the chisquared distribution calculus.

Usage

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Arguments

x

Should be a vector.

y

Should be a vector.

Details

To calculate the chisquared distribution, the user should give two vectors of numbers. The result is a sum of the squares of k independent standard normal random variables. We can saw the chisquared distribution formule in the chisquared_ 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

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

LearningRlab documentation built on Feb. 9, 2021, 1:05 a.m.