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7.5 6 6.5 1 1 5.5 8.5 6.5 4.5 2 5 0.5 5 5 2.5 5 5.5 3.5 3 4 0.5 6.5 4.5 7.5 5.5 4 7.5 7 4 5.5 2.5 5.5 3.5 2.5 4.5 4.5 4.5 6 2.5 5 0 5 6.5 5 6 4.5 5.5 1 7.5 6 5 1 5 6.5 7 4.5 0 8.5 3.5 7.5 3.5 6 1.5 9 3.5 3.5 4 6.5 7.5 6 5 5.5 3.5 7.5 6.5 6.5 6.5 7 3.5 1.5 4 7.5 4.5 0 3.5 5.5 5 4.5 2.5 7.5 7 0 4.5 3 1.5 3.5 2.5 5.5 8 1 5 4.5 3 3 8 2.5 7 0 1 3.5 5.5 5.5 0.5 7.5 9 9.5 8.5 7 8 10 7 8.5 9 9.5 4 6 8 5.5 9.5 7.5 7 7.5 8 7 7 6 10 2.5 9 8 6 8.5 6 9 8 9 5.5 7 5.5 9 2 8.5 9 8.5 9 7.5 10 9 7.5 6 10.5 8.5 8 10 10.5 6.5 9.5 8.5 7.5 5 8 10 7 7.5 7.5 9.5 6 10 7 3 6 7 10 7 3.5 8 10 5.5 6 6.5 6.5 8.5 4 9.5 8 8.5 5.5 7 9 8 10 8 6 8 5 9 4.5 8.5 9.5 8.5 7.5 7.5 5 7 8 5.5 8.5 9.5 7 8 8.5 3.5 6.5 6.5 10.5 8.5 8 10 10 9.5 9 10 7.5 4.5 4.5 0.5 6.5 4.5 5.5 5 6 4 8 10.5 6.5 8 8.5 5.5 7 5 3.5 5 9 8.5 5 9.5 3 1.5 6 0.5 6.5 7.5 4.5 8 9 7.5 8.5 7 9.5 6.5 9.5 6 8 9.5 8 8 9 5
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R Code
library(MASS) library(car) par1 <- as.numeric(par1) if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2) x <- as.ts(x) #otherwise the fitdistr function does not work properly r <- fitdistr(x,'normal') 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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