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Data:
6195800.00 6172725.00 6149325.00 6100900.00 6579950.00 6554600.00 6195800.00 5957250.00 5980325.00 5980325.00 6006000.00 6052150.00 6123975.00 6123975.00 6077825.00 5957250.00 6579950.00 6674850.00 6531525.00 6195800.00 6339450.00 6123975.00 6221150.00 6267625.00 6316050.00 6195800.00 6221150.00 6052150.00 6579950.00 6746675.00 6603350.00 6339450.00 6626425.00 6316050.00 6603350.00 6579950.00 6651775.00 6387875.00 6674850.00 6651775.00 7082400.00 6985225.00 6603350.00 6410950.00 6674850.00 6316050.00 6579950.00 6626425.00 6723600.00 6508450.00 6626425.00 6698250.00 6962150.00 6746675.00 6459700.00 6149325.00 6436625.00 5646875.00 6029075.00 6244225.00 6459700.00 6149325.00 6149325.00 6149325.00 6316050.00 6077825.00 5765175.00 5503550.00 5693350.00 4952350.00 5406375.00 5670275.00 5718700.00 5454800.00 5477875.00 5406375.00 5646875.00 5477875.00 5144750.00 4903925.00 5311150.00 4426825.00 5001100.00 5262725.00 5262725.00 4952350.00 4665375.00 4642300.00 4903925.00 4665375.00 4211675.00 3899025.00 4234750.00 3445325.00 4162925.00 4544800.00 4665375.00 4401475.00 4068025.00 4306575.00 4401475.00 4329650.00 3611725.00 3278600.00 3516825.00 2799225.00 3540225.00 3804125.00 4019275.00 3660475.00 3324750.00 3516825.00 3611725.00 3421925.00 2704325.00 2391675.00 2678650.00 1889225.00 2750475.00 3278600.00
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R Code
par1 <- as.numeric(par1) (n <- length(x)) (np <- floor(n / par1)) arr <- array(NA,dim=c(par1,np+1)) ari <- array(0,dim=par1) j <- 0 for (i in 1:n) { j = j + 1 ari[j] = ari[j] + 1 arr[j,ari[j]] <- x[i] if (j == par1) j = 0 } ari arr arr.sd <- array(NA,dim=par1) arr.range <- array(NA,dim=par1) arr.iqr <- array(NA,dim=par1) for (j in 1:par1) { arr.sd[j] <- sqrt(var(arr[j,],na.rm=TRUE)) arr.range[j] <- max(arr[j,],na.rm=TRUE) - min(arr[j,],na.rm=TRUE) arr.iqr[j] <- quantile(arr[j,],0.75,na.rm=TRUE) - quantile(arr[j,],0.25,na.rm=TRUE) } overall.sd <- sqrt(var(x)) overall.range <- max(x) - min(x) overall.iqr <- quantile(x,0.75) - quantile(x,0.25) bitmap(file='plot1.png') plot(arr.sd,type='b',ylab='S.D.',main='Standard Deviation Plot',xlab='Periodic Index') mtext(paste('# blocks = ',np)) abline(overall.sd,0) dev.off() bitmap(file='plot2.png') plot(arr.range,type='b',ylab='range',main='Range Plot',xlab='Periodic Index') mtext(paste('# blocks = ',np)) abline(overall.range,0) dev.off() bitmap(file='plot3.png') plot(arr.iqr,type='b',ylab='IQR',main='Interquartile Range Plot',xlab='Periodic Index') mtext(paste('# blocks = ',np)) abline(overall.iqr,0) dev.off() bitmap(file='plot4.png') z <- data.frame(t(arr)) names(z) <- c(1:par1) (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Periodic Subseries')) dev.off() bitmap(file='plot5.png') z <- data.frame(arr) names(z) <- c(1:np) (boxplot(z,notch=TRUE,col='grey',xlab='Block Index',ylab='Value',main='Notched Box Plots - Sequential Blocks')) dev.off() bitmap(file='plot6.png') z <- data.frame(cbind(arr.sd,arr.range,arr.iqr)) names(z) <- list('S.D.','Range','IQR') (boxplot(z,notch=TRUE,col='grey',ylab='Overall Variability',main='Notched Box Plots')) dev.off()
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