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Data:
95320.00 94965.00 94605.00 93860.00 101230.00 100840.00 95320.00 91650.00 92005.00 92005.00 92400.00 93110.00 94215.00 94215.00 93505.00 91650.00 101230.00 102690.00 100485.00 95320.00 97530.00 94215.00 95710.00 96425.00 97170.00 95320.00 95710.00 93110.00 101230.00 103795.00 101590.00 97530.00 101945.00 97170.00 101590.00 101230.00 102335.00 98275.00 102690.00 102335.00 108960.00 107465.00 101590.00 98630.00 102690.00 97170.00 101230.00 101945.00 103440.00 100130.00 101945.00 103050.00 107110.00 103795.00 99380.00 94605.00 99025.00 86875.00 92755.00 96065.00 99380.00 94605.00 94605.00 94605.00 97170.00 93505.00 88695.00 84670.00 87590.00 76190.00 83175.00 87235.00 87980.00 83920.00 84275.00 83175.00 86875.00 84275.00 79150.00 75445.00 81710.00 68105.00 76940.00 80965.00 80965.00 76190.00 71775.00 71420.00 75445.00 71775.00 64795.00 59985.00 65150.00 53005.00 64045.00 69920.00 71775.00 67715.00 62585.00 66255.00 67715.00 66610.00 55565.00 50440.00 54105.00 43065.00 54465.00 58525.00 61835.00 56315.00 51150.00 54105.00 55565.00 52645.00 41605.00 36795.00 41210.00 29065.00 42315.00 50440.00
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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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Big Analytics Cloud Computing Center
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