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Data:
18.09 18.13 18 17.72 17.62 17.13 17.39 17.09 17.14 17.38 16.8 16.51 16.01 15.05 13.56 15.22 14.91 15.13 15.25 14.61 14.87 15.1 15.22 15.46 14.96 14 14.2 13.9 13.63 13.32 13.8 14.5 14.12 13.88 14.11 14.26 14.71 14.52 14.32 14.69 15.25 15.04 14.82 14.5 14.72 14.6 14.58 14 14.75 14.41 15.19 14.96 14.83 14.25 14.32 14.93 14.65 15.65 15.65 15.61 15.95 15.83 15.77 16.7 16.69 16.4 16.77 16.78 16.84 16.68 16.67 16.3 16.37 16.6 16.72 16.82 17.5 17.2 17.29 17.2 17.2 17.32 17.16 17.41 17.31 17.3 17.34 17.19 17.05 17.07 17.07 16.81 16.81 16.96 17.05 17 16.77 16.66 16.2 16.26 15.84 15.85 15.71 15.84 15.73 15.77 15.3 15.41 15.4 15.61 15 14.12 14.01 13.46 13.85 13.92 13.59 13.67 13.05 12.87 12.28 11.88 12.49 11.9 10.8 10.99 10.15 10.07 10.05 10.31 9.94 9.65 9.74 9.85 9.96 9.63 9.43 8.77 9.53 9.5 9.78 9.9 9.93 10.35 9.79 9.63 9.02 9.25 9.11 8.95 9.3 9.13 9.75 9.65 9.27 9.59 9.58 9.98 9.57 9.6 9.64 9.46 9.19 9.02 8.9 9.12 8.86 8.94 9 9.23 9.39 9.62 9.9 9.8 9.2 9.87 9.6 9.37 9.21 9.15 8.7 8.2 8.1 6.68 7.7 8.2 7.55 7.53 7.02 6.6 6 3.95 4.91 5.15 5.7 1.93 1.36 1.1 0.98 1 1.1 1.06 1.01 0.93 0.89 0.9 0.88 0.85 0.84 0.94 1 1.1 1.15 1.05 1.06 0.99 0.93 0.84 0.9 0.86 0.78 0.77 0.6 0.57 0.62 0.62 0.58 0.6 0.73 0.75 0.63 0.71 0.68 0.64 0.66 0.69 0.72 0.92 0.85 0.95 1 1.15 1.07 1.01 0.99 0.95 0.92 0.94 0.96 1.05 1.04 1.1 1.14 1.12 1.19 1.35 1.62 1.43 1.45 1.47 1.35 1.15 1.46 1.3 1.3 1.5 1.52 1.63 1.9 1.65 1.5 1.38 1.39
Sample Range:
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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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