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Data:
-0.0375732130599521 -1.42842903073985 0.344188230160782 -0.163082724149866 -0.0816939481183535 0.252095350579819 0.289469636284585 -0.274908034110628 -0.457959047417949 -0.120161814446042 0.115277151044634 0.52594879230336 -0.574167421833416 -0.977009688083828 0.28705772607985 0.868376961764599 -1.01003929038058 1.06363782814538 0.657427733182704 0.566693320822928 -1.64827620985414 1.21153674122654 -2.01659873949968 1.08949523651952 -1.10332128763400 0.393057450103926 -0.366241722302763 0.0740797820367478 0.899595501277396 -0.559421942167576 -1.79385744860224 0.280148270173554 0.603531479858657 -0.196938655171879 -0.0491476438699476 1.27471298429356 -0.0205523160493216 0.638508206542742 -0.906094943253174 -0.711904745736901 1.03912815618083 0.797303418582777 -0.57685992535319 1.06628808049365 -0.00187118162893192 -0.993835979441977 1.53717318164927 -0.552769095442449 0.835516821617911 -0.767777920380284 -0.464942973832369 0.190103523651543 -1.10193377119234 -3.13783784070054 -2.74591790271741 -1.20624604013675 0.661408396700863 -0.0544913767182588 -0.782616089336004 0.122339478528019 0.487830064783113
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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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