LearningRlab (version 2.2)

explain.chisquared: 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.

Value

Numeric result and the process of this calculus explained.

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.

Examples

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