Nothing
#***************************************************************************************
#********************* Simulation of The Local Limit Theorem ***************************
S_Local_Limit_Theorem<-function(n=170,p=0.5,Compare=TRUE, Table=TRUE, Graph=TRUE,
GraphE=TRUE)
{# Arguments:
# n : Number of repetitions of the experiment.
# p : Probability that a successful event will happen in any single
# Bernoulli trial (called the probability of success).
# Compare: Logical value. If True, the function calculates the probability using,
# the integral theorem, the Poisson theorem and the Binomial theorem,
# comparing the results.
# Table : Logical value. If True, the function shows the table with the calculated
# probabilities.
# Graph : Logical value. If True, the function shows the graph of the calculated
# probabilities.
# GraphE : Logical value. If True, the function shows the graphic of the errors in the approximation.
layout(matrix(1))
m<-array(0:n)
x<-numeric();PNormal<-numeric()
a<-n*p; b<-sqrt(a*(1-p))
for (mi in 1:(n+1))
{x[mi]<-(mi-1-a)/b
PNormal[mi]<-dnorm(x[mi],0,1)/b
}
if (Compare==TRUE)
{PBin<-numeric()
for (mi in 1:(n+1))
PBin[mi]<-dbinom(mi-1,n,p)
Dif<-abs(PBin-PNormal)
}
if (Graph==TRUE & GraphE==TRUE)
{layout(matrix(c(1,1,2,2), 2, 2, byrow = TRUE))
}
if (Graph==TRUE)
{mfg<-c(1,1,2,2)
plot(PNormal,type="p",main="The Local Limit Theorem",xlab="m",ylab="Probability",col="red")
mtext("Local Theorem", line= -1, side = 3, adj = 1, col = "red")
if (Compare==TRUE)
{points(PBin,type="p", col="blue")
mtext("Binomial Probability", line= -2, side = 3, adj = 1, col = "blue")
}
}
if (GraphE==TRUE)
{mfg<-c(2,1,2,2)
dmini<-min(Dif)-0.01; dmaxi<-max(Dif)+0.01
plot(Dif,ylim=c(dmini,dmaxi),type="b",main="Errors",xlab="m",ylab="Errors",col="green")
abline(a=0,b=0, col="red")
}
if (Table==TRUE)
{if (Compare==TRUE)
TablaR<-data.frame("m"=m,"x"=x,"PBinomial"=PBin,"TLocal"=PNormal,
"Difference"=Dif) else
TablaR<-data.frame("m"=m,"x"=x,"TLocal"=PNormal)
TablaR}
}# End function Local_Limit_Theorem
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