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...