explain.laplace: Laplace's Rule Function Explained

In LearningRlab: Statistical Learning Functions

Laplace's Rule Function Explained

Description

Step by step demonstration of the Laplace's rule calculus.

Usage

explain.laplace(x,y)

Arguments

x	Should be a vector
y	Should be a vector

Details

To calculate the Laplace's rule, the user should give two vector (unfavorable cases/favorable cases). The result isas the quotient between the number of favorable cases to A, and that of all possible results of the experiment. We can saw the Laplace's rule correlation formule in the laplace_ 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 <- 3
  data2 <- c(1,2,3,4,5,6)
  
  explain.laplace(data, data2)
    

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