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(class...