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Data:
91.46 90.24 93.90 96.34 93.90 86.59 75.61 70.73 74.39 84.15 89.02 87.80 74.39 70.73 74.39 78.05 82.93 82.93 79.27 75.61 76.83 78.05 80.49 81.71 78.05 82.93 85.37 84.15 86.59 87.80 86.59 85.37 84.15 81.71 80.49 84.15 89.02 96.34 100.00 100.00 100.00 98.78 96.34 93.90 93.90 92.68 91.46 91.46 86.59 91.46 91.46 95.12 95.12 95.12 92.68 91.46 93.90 98.78 97.56 92.68 80.49 79.27 82.93 91.46 97.56 100.00 98.78 96.34 96.34 92.68 91.46 92.68 89.02 91.46 92.68 91.46 92.68 95.12 96.34 95.12 91.46 80.49 76.83 76.83 73.17 76.83 78.05 76.83 76.83 78.05 81.71 81.71 82.93 75.61 70.73 68.29 65.85 69.51 70.73 67.07 65.85 65.85 65.85 67.07 68.29 69.51 70.73 65.85 59.76 63.41 67.07 71.95 76.83 79.27 78.05 78.05 80.49 82.93 87.80
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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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1 seconds
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Big Analytics Cloud Computing Center
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