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R Object-oriented Programming

R Object-oriented Programming

By : Black
4.4 (9)
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R Object-oriented Programming

R Object-oriented Programming

4.4 (9)
By: Black

Overview of this book

This book is designed for people with some experience in basic programming practices. It is also assumed that they have some basic experience using R and are familiar using the command line in an R environment. Our primary goal is to raise a beginner to a more advanced level to make him/her more comfortable creating programs and extending R to solve common problems.
Table of Contents (14 chapters)
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4
4. Calculating Probabilities and Random Numbers
12
A. Package Management
13
Index

The Monte-Carlo class

The final class examined is the MonteCarlo class. The MonteCarlo class is used to keep track of the results from multiple simulations. Here, we provide a partial list of the code for the class and then provide the methods used to generate multiple simulations.

First, the code required to define the class is given here:

############################################################
# Create the Monte Carlo class
#
# This class is used to make many simulations
MonteCarlo <- function()
{

    # Define the slots
    me = list(

        ## First define the parameters for the stochastic model
        N        = 0,
        T        = 0,
        x0       = 0,
        y0       = 0,
        alpha    = 0,
        beta     = 0,
        gamma    = 0,
        delta    = 0,
        noiseOne = 0,
        noiseTwo = 0,

        ## Define the data to track and the number of trials
        xData = 0,
        yData = 0


      )
  ## Set the name for the class
  class(me) <- append...

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