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Data:
29054.50 28543.50 28032.00 27009.50 37356.00 36844.50 29054.50 23881.50 24392.50 24392.50 24904.00 25982.00 22859.00 19731.00 17169.50 17169.50 27009.50 28032.00 20242.00 11429.50 16091.50 16091.50 19731.00 21831.50 21320.00 16091.50 18708.50 17681.00 26493.50 24392.50 16091.50 9891.00 15580.00 17169.50 18708.50 20753.50 16602.50 13019.00 14558.00 15069.00 28543.50 28543.50 20753.50 19731.00 22859.00 21320.00 25471.00 30644.00 31671.50 24392.50 22342.50 20242.00 34283.50 35311.00 32694.00 35311.00 34794.50 30644.00 35311.00 40484.00 42584.50 36333.50 32182.50 35311.00 48785.00 52936.00 51913.50 53958.00 53447.00 48274.00 57086.50 59187.00 62259.50 52936.00 49296.50 53447.00 63337.50 72150.00 70049.50 70049.50 71077.00 67488.00 76817.00 76817.00 75227.50 66410.00 67999.50 69027.00 75789.50 84602.00 78350.50 81479.00 78862.00 77328.00 89269.00 86652.00 83012.50 77839.50 83012.50 85629.50 88752.50 92903.00 88752.50 91314.00 88190.50 87679.50 100642.50 101720.50 97570.00 90291.50 96492.00 99104.00 102232.00 106894.00 102232.00 105871.50 104282.00 98592.50 110533.00 110533.00
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R Code
par1 <- as.numeric(par1) x <- na.omit(x) (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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