explain.covariance: Covariance Function Explained

In LearningRlab: Statistical Learning Functions

Covariance Function Explained

Description

Step by step demonstration of the covariance calculus.

Usage

explain.covariance(x,y)

Arguments

x	Should be a vector
y	Should be a vector

Details

To calculate the covariance, the user should give two vectors of numbers. The result is the explained process to calculate the covariance, with the data of the datasets provided like argument. We can saw the harmonic mean formule in the covariance_ 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, [e-mail]
Juan Jose Cuadrado, [e-mail]
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.covariance(data, data2)
    

LearningRlab documentation built on Aug. 31, 2023, 1:08 a.m.