explain.chisquared {LearningRlab} | R Documentation |
Chisquared Distribution Function Explained
Description
Step by step demonstration of the chisquared distribution calculus.
Usage
explain.chisquared(x,y)
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
#data creation
data <- c(10,4,5,7,3,4,1)
data2 <- c(1,8,3,4,4,5,7)
explain.chisquared(data, data2)
[Package LearningRlab version 2.4 Index]