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Data:
NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 76.83 77.74 80.47 79.56 82.28 100.92 113.2 90.92 86.83 82.74 83.65 80.92 83.19 83.65 83.65 83.65 86.83 100.47 91.38 101.38 95.92 88.19 88.19 80.47 80.92 79.56 80.92 88.19 91.83 96.38 97.29 102.29 99.1 92.74 87.29 85.47 91.38 92.74 89.56 88.65 93.2 99.56 109.11 124.56 115.47 96.38 92.29 86.83 87.29 85.92 85.92 88.65 91.83 112.29 101.83 125.02 102.74 95.01 91.83 86.38 87.29 88.19 89.1 89.1 103.65 127.75 125.47 125.47 109.11 100.01 95.01 85.01 86.83 86.83 86.83 86.83 100.47 111.38 105.47 102.74 105.01 96.38 94.1 86.83 92.74 93.2 95.47 96.38 99.56 120.47 123.2 114.11 120.93 102.74 101.83 95.47 100.01 100.01 98.2 100.01 103.65 114.56 134.11 131.84 113.65 107.29 102.29 94.56 97.29 98.2 95.47 100.47 116.38 117.29 140.93 120.02 111.38 108.65 105.92 99.1 101.83 102.74 102.74 105.47 108.65 139.57 110.47 118.65 120.02 109.11 108.2 101.38 106.38 108.65 107.74 105.92 129.56 139.11 125.93 123.65 118.65 110.47 110.02 100.47 104.1 106.6 105.5 107.5 117.9 136.3 156.8 135.8 130 117.5 115.8 105.5 111.6 113.2 113.1 112.5 120 147.6 149.9 131.2 134.6 122.2 117.7 106.8 111.5 111.3 109.5 112.1 127 135.9 150.4 135.6 134.9 124.1 120.8 112.8 117.4 118.6 119.2 119.7 128.6 142.8 170 145.9 140.1 128.7 123.4 114.6 120.2 122 121.3 123.2 141.1 129.7 152.4 141.9 137 129 124.6 117.3 122.7 121 122 122 126.3 158.1 164.9 143.3 151.4 136.8 133.1 124.8 132.6 130.2 129.6 129.7 133.7 148.3 155.1 157.2 147.2 142.7 135.9 123.8 132.3 132.7 130.7 129.9 145.5 156.6 161.7 156 146.1 136.8 132.5 129.5 129.5 134.7 136.6 138.4 149.6 159.5 171.4 162.1 163.1 152.4 145.5 133.9 136.6 139.4 141.2 144.9 181.4 187 211.4 178.1 168 154.4 150.4 139.4 144.7 143 148.3 152.7 173.3 226.3 218.2 184.6 174.9 161.4 161.4 145.8
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R Code
par1 <- '12' par1 <- as.numeric(par1) (n <- length(x)) (np <- floor(n / par1)) arr <- array(NA,dim=c(par1,np+1)) darr <- array(NA,dim=c(par1,np+1)) ari <- array(0,dim=par1) dx <- diff(x) j <- 0 for (i in 1:n) { j = j + 1 ari[j] = ari[j] + 1 arr[j,ari[j]] <- x[i] darr[j,ari[j]] <- dx[i] if (j == par1) j = 0 } ari arr darr arr.mean <- array(NA,dim=par1) arr.median <- array(NA,dim=par1) arr.midrange <- array(NA,dim=par1) for (j in 1:par1) { arr.mean[j] <- mean(arr[j,],na.rm=TRUE) arr.median[j] <- median(arr[j,],na.rm=TRUE) arr.midrange[j] <- (quantile(arr[j,],0.75,na.rm=TRUE) + quantile(arr[j,],0.25,na.rm=TRUE)) / 2 } overall.mean <- mean(x) overall.median <- median(x) overall.midrange <- (quantile(x,0.75) + quantile(x,0.25)) / 2 bitmap(file='plot1.png') plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index') mtext(paste('#blocks = ',np)) abline(overall.mean,0) dev.off() bitmap(file='plot2.png') plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index') mtext(paste('#blocks = ',np)) abline(overall.median,0) dev.off() bitmap(file='plot3.png') plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index') mtext(paste('#blocks = ',np)) abline(overall.midrange,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='plot4b.png') z <- data.frame(t(darr)) names(z) <- c(1:par1) (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced 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.mean,arr.median,arr.midrange)) names(z) <- list('mean','median','midrange') (boxplot(z,notch=TRUE,col='grey',ylab='Overall Central Tendency',main='Notched Box Plots')) dev.off()
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