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147.2 149.5 149.9 151.1 151.1 152.0 152.0 152.4 152.4 152.4 152.4 153.4 154.4 154.5 154.9 154.9 155.0 155.0 155.8 156.0 156.0 156.0 156.2 156.2 156.5 157.0 157.0 157.5 157.5 157.5 157.5 157.5 157.5 157.5 157.5 158.0 158.2 158.8 158.8 159.0 159.0 159.1 159.2 159.4 159.4 159.5 159.5 159.5 159.8 159.8 160.0 160.0 160.0 160.0 160.0 160.0 160.0 160.0 160.0 160.0 160.0 160.0 160.0 160.0 160.0 160.0 160.0 160.0 160.0 160.0 160.2 160.2 160.7 160.7 160.7 160.9 161.0 161.0 161.2 161.2 161.2 161.3 161.3 161.3 161.3 161.3 161.3 161.3 161.4 162.0 162.0 162.1 162.1 162.2 162.5 162.5 162.6 162.6 162.6 162.6 162.6 162.6 162.6 162.6 162.6 162.6 162.6 162.6 162.6 162.6 162.8 162.8 162.9 163.0 163.0 163.2 163.2 163.2 163.2 163.5 163.5 163.8 163.8 163.8 164.0 164.0 164.1 164.3 164.4 164.5 164.5 164.5 165.0 165.1 165.1 165.1 165.1 165.1 165.1 165.1 165.1 165.1 165.1 165.1 165.1 165.1 165.1 165.5 165.7 166.0 166.0 166.2 166.4 166.4 166.4 166.8 166.8 167.0 167.1 167.5 167.6 167.6 167.6 167.6 167.6 167.6 167.6 167.6 167.6 167.6 167.6 167.6 167.6 167.6 167.6 167.6 167.6 167.8 168.2 168.2 168.3 168.5 168.9 168.9 168.9 168.9 168.9 168.9 168.9 168.9 169.0 169.0 169.4 169.5 169.5 169.5 170.0 170.0 170.0 170.0 170.0 170.0 170.2 170.2 170.2 170.2 170.2 170.2 170.2 170.2 170.2 170.2 170.3 170.5 170.5 170.9 171.4 171.8 172.1 172.5 172.7 172.7 172.7 172.7 172.7 172.7 172.7 172.9 173.0 173.2 173.2 173.4 174.0 174.0 174.0 174.0 174.0 174.0 175.0 175.0 175.2 175.2 175.2 175.3 175.3 175.3 175.3 175.3 176.2 176.2 176.5 176.5 176.5 176.5 177.8 178.0 179.8 179.9 180.3 182.9
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R Code
par2 <- '0' par1 <- '8' library(MASS) library(car) par1 <- as.numeric(par1) if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2) x <- na.omit(x) x <- as.ts(x) #otherwise the fitdistr function does not work properly r <- fitdistr(x,'normal') print(r) bitmap(file='test1.png') myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F) curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T) dev.off() bitmap(file='test3.png') qqPlot(x,dist='norm',main='QQ plot (Normal) with confidence intervals') grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Parameter',1,TRUE) a<-table.element(a,'Estimated Value',1,TRUE) a<-table.element(a,'Standard Deviation',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,r$estimate[1]) a<-table.element(a,r$sd[1]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'standard deviation',header=TRUE) a<-table.element(a,r$estimate[2]) a<-table.element(a,r$sd[2]) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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