par1 <- as.numeric(par1) par2 <- as.numeric(par2) par3 <- as.numeric(par3) par4 <- as.numeric(par4) numsuccessbig <- 0 numsuccesssmall <- 0 bighospital <- array(NA,dim=c(par1,par2)) smallhospital <- array(NA,dim=c(par1,par3)) bigprob <- array(NA,dim=par1) smallprob <- array(NA,dim=par1) for (i in 1:par1) { bighospital[i,] <- sample(c('F','M'),par2,replace=TRUE) if (as.matrix(table(bighospital[i,]))[2] > par4*par2) numsuccessbig = numsuccessbig + 1 bigprob[i] <- numsuccessbig/i smallhospital[i,] <- sample(c('F','M'),par3,replace=TRUE) if (as.matrix(table(smallhospital[i,]))[2] > par4*par3) numsuccesssmall = numsuccesssmall + 1 smallprob[i] <- numsuccesssmall/i } tbig <- as.matrix(table(bighospital)) tsmall <- as.matrix(table(smallhospital)) tbig tsmall numsuccessbig/par1 bigprob[par1] numsuccesssmall/par1 smallprob[par1] numsuccessbig/par1*365 bigprob[par1]*365 numsuccesssmall/par1*365 smallprob[par1]*365 bitmap(file='test1.png') plot(bigprob,col=2,main='Probability in Large Hospital',xlab='#simulated days',ylab='probability') dev.off() bitmap(file='test2.png') plot(smallprob,col=2,main='Probability in Small Hospital',xlab='#simulated days',ylab='probability') dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Exercise 1.13 p. 14 (Introduction to Probability, 2nd ed.)',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Number of simulated days',header=TRUE) a<-table.element(a,par1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Expected number of births in Large Hospital',header=TRUE) a<-table.element(a,par2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Expected number of births in Small Hospital',header=TRUE) a<-table.element(a,par3) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Percentage of Male births per day (for which the probability is computed)',header=TRUE) a<-table.element(a,par4) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'#Females births in Large Hospital',header=TRUE) a<-table.element(a,tbig[1]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'#Males births in Large Hospital',header=TRUE) a<-table.element(a,tbig[2]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'#Female births in Small Hospital',header=TRUE) a<-table.element(a,tsmall[1]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'#Male births in Small Hospital',header=TRUE) a<-table.element(a,tsmall[2]) a<-table.row.end(a) a<-table.row.start(a) dum1 <- paste('Probability of more than', par4*100, sep=' ') dum <- paste(dum1, '% of male births in Large Hospital', sep=' ') a<-table.element(a, dum, header=TRUE) a<-table.element(a, bigprob[par1]) a<-table.row.end(a) dum <- paste(dum1, '% of male births in Small Hospital', sep=' ') a<-table.element(a, dum, header=TRUE) a<-table.element(a, smallprob[par1]) a<-table.row.end(a) a<-table.row.start(a) dum1 <- paste('#Days per Year when more than', par4*100, sep=' ') dum <- paste(dum1, '% of male births occur in Large Hospital', sep=' ') a<-table.element(a, dum, header=TRUE) a<-table.element(a, bigprob[par1]*365) a<-table.row.end(a) dum <- paste(dum1, '% of male births occur in Small Hospital', sep=' ') a<-table.element(a, dum, header=TRUE) a<-table.element(a, smallprob[par1]*365) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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