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Data:
867.887509505211 -2250.28069676838 33618.3570412959 9954.34468238836 354.191730842355 18882.406400463 20229.4310915672 268402.416151187 -113346.926055862 -45016.394227939 35069.861367254 58531.0957290091 -77256.3771198791 -31473.594568955 -52391.0075132882 32854.9847569661 101107.732845397 -176275.960398033 79531.884415102 -176414.251561376 151290.579462589 167731.594163443 143237.122434691 80251.9665265577 118735.726273623 75035.8259037494 19198.3085437346 -36364.5639276314 -36170.5787440905 -109567.395064155 -100783.336097857 -149267.403931369 38947.3510583149 58613.0600994635 16074.4602044407 -41563.0049150659 -15970.5964777959 -47563.9548420802 59595.3577179922 65897.8405390448 -166489.283203891 46312.3269884632 -15952.8722863516 -87780.6523566012 134744.172737777 75232.8122408289 24408.7558471514 -15406.1403381955 -3766.75348767364 27197.2239951006 -46777.2890031503 -82472.8212609495 -35154.7184801844 -46946.870011609 -43641.5364941684 -54920.7084991732 54905.4038222157 -10509.5840707596 -13706.8046976985 -42347.6087628011 -28990.4687708701
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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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