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Data:
85.13 85.54 85.47 85.78 86.07 86.05 86.32 86.43 86.41 86.38 86.59 86.68 86.87 87.32 87.13 87.42 87.22 87.17 87.52 87.49 87.53 87.93 88.54 88.96 89.3 90.01 90.52 90.64 91.25 91.59 92.09 91.81 92.03 92.15 91.98 92.11 92.28 92.53 91.97 92.05 91.87 91.49 91.48 91.63 91.46 91.61 91.7 91.87 92.21 92.65 92.83 93.02 93.33 93.35 93.45 93.51 93.8 93.94 94.02 94.26 94.71 95.26 95.54 95.69 96.03 96.4 96.55 96.45 96.65 96.84 97.21 97.31 97.91 98.51 98.54 98.52 98.66 98.53 98.71 98.92 98.96 99.25 99.32 99.41 99.36 99.58 99.77 99.77 100.03 100.2 100.24 100.1 100.03 100.18 100.29 100.41 100.6 100.75 100.79 100.44 100.29 100.34 100.46 100.12 100.06 100.28 100.28 100.4
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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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