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Data:
-1575.00887827752 -2263.82750005582 7045.75768165492 -2035.83149854133 3886.02985519469 158.539675832947 960.457190377358 -337.841379165606 -7109.61280621946 -7043.92461948593 4685.51755601771 977.408177407792 918.328545859417 589.375354065341 -6891.67878957285 1533.64184150137 2210.55324487903 -9280.29800578057 8034.36112956057 3659.22886246375 7117.41595284467 -2633.18383716224 -4523.01908028135 -10249.2788035485 1517.80356687876 1484.15119995578 -1214.46781890457 2169.24845396691 -2253.92155265332 -2631.74888936717 -3849.26121145593 821.620255775573 -9408.87260464867 1241.88804485160 1179.93724525252 -1962.37832237001 516.653311386494 -2767.97210236296 5629.81911313198 5803.53000967108 -1873.10106680445 -7023.12305076338 -1722.94778568371 -3011.92640473933 -17439.1442995944 -1770.63103827571 -6148.68941133731 7691.62364275427 -4994.18050152824 -4899.69881288656 5524.45031429093 -6451.65580766626 -9155.30558471285 9268.49118895307 4067.36942971564 -15460.4752115729 9214.1160150789 4009.46524142609 8598.3415209042 1171.18094385286 -1585.96191465526 -2329.27119138406 5674.43930504972 -9680.56803374957 13269.3191881056 -4706.51689196404 -3552.85443447458 -3123.75770966460 2912.26032459412 12338.9131048695 10340.0965258702 6543.69991954822 7116.01012281237
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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)) 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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