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Data:
0.000953461729980812 -0.0569101464218478 0.0114233162752314 -0.0871190622857896 -0.0444281055769495 0.0333368666259414 0.194704755977581 -0.133353120942145 -0.0285168391700838 -0.0363655656431190 -0.0292629186360326 0.0530894830904098 -0.0525914154196951 -0.0386365462548281 0.090566136275336 0.0207026569389061 0.0692128272149964 -0.178067258929560 -0.0328419411633232 -0.0739405859319501 -0.0217306028713136 -0.0155451837263637 0.0193142214554906 -0.0816522001420693 -0.0296748246681962 0.0630047763174753 0.0658730806229442 -0.0122353073404458 -0.00939186116981672 -0.114781577037343 -0.0532857423487761 -0.0656657839937065 -0.0225349518427599 -0.0229231761304629 0.00730037880271373 0.0166961217654499 0.00361245267112364 -0.00760295848135872 0.00223311886393862 -0.0187323295391295 0.0451844857148377 -0.0580650941189386 -0.0600601820625225 0.000136965900622954 0.0122132432331972 0.0044255762836708 0.0680835040726765 0.100703937060142 -0.0365566352690836 -0.0641132143464287 0.0594908526896633 -0.0125547552563741 0.0337828622355548 -0.0173847051725452 0.110062607007236 0.0468059773663448 0.0136303206151601 0.0439033538049421 -0.00943301241449035 -0.123520788413688
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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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