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Data:
31.82 32.23 30.51 30.68 31.32 30.77 30.88 31.92 29.68 28.56 32.85 36.35 35.13 30.05 30.80 32.00 31.78 29.92 31.77 29.93 31.05 32.25 33.34 35.35 33.45 32.48 31.55 32.02 29.49 27.18 28.66 30.05 31.14 29.66 30.05 26.32 25.32 23.06 24.45 24.91 26.65 28.20 30.50 26.90 28.00 26.12 29.80 32.23 31.64 29.66 31.30 33.42 35.65 35.87 34.73 34.40 33.56 34.36 33.45 32.98 32.72 32.75 34.21 36.69 37.50 37.52 37.23 35.72 35.61 39.34 39.31 40.62 40.62 41.80 42.60 43.67 45.47 46.40 45.84 46.59 46.70 48.81 48.92 46.95 44.90 43.63 45.28 46.05 46.51 46.95 46.45 49.82 51.82 52.50 53.25 53.95 54.54 53.23 52.00 51.13 50.16 50.19 51.28 53.34 53.08 51.75 52.20 51.11 51.30 52.61 51.41 51.61 52.35 52.21 52.64 52.50 53.55 52.41 53.80 54.22 53.21 53.50 52.30 52.47 51.32 51.37 52.32 52.24 53.40 52.83 53.08 53.62 54.14 54.62 54.13 52.94 54.43 53.98 54.05 53.45 53.39 53.43 53.03 52.16 51.72 51.42 50.54 50.13 50.63 52.10 52.64 53.47 53.39 54.11 54.70 54.34 53.39 52.47 52.74 53.44 51.61 53.30 53.10 53.26 53.09 53.39 52.56 52.57 53.18 52.00 51.75 50.34 51.96 53.07 53.14 52.60 52.70 53.20 52.23 53.21 54.17 54.33 55.12 56.58 55.91 54.65 55.03 55.56 57.15 58.24 58.77 58.97 57.29 56.04 56.72 56.46 57.10 56.81 56.32 55.81 56.03 56.90 56.59 54.60 55.08 55.48 54.42 54.55 55.17 55.10 53.89 53.02 53.24 52.32 52.57 51.69 50.26 47.94 47.32 48.72 49.84 50.15 50.00 49.34
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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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