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Data:
0.103629933239820 0.0087703074390444 0.0155637426660695 0.0966084256018938 0.0683025606568869 -0.00653314961359896 -0.0094367257568807 0.00935003832683242 0.118449494805129 0.127456615819888 0.00876382231245558 -0.0129824429665246 -0.00415418317902038 0.0266421877779411 0.194032448777481 -0.00711070355878007 0.0205688036309368 -0.00442856389169322 -0.00315893309607418 0.0064652048591256 0.131873973578195 0.241305044412940 -0.0310262850916416 0.0245251063758616 -0.0156222322911219 -0.0206043854226294 0.0326967759710612 0.125988059619388 -0.0435502067574021 0.0123515713707718 -0.00434737918082817 -0.00353479514087951 0.147562133549002 0.0470693504162938 0.105815471844778 -0.0341342674195459 -0.00414417660174138 -0.0064652048591256 0.0468257381816528 -0.225104141948705 3.12331458758308e-05 0.0166685620235825 0.00237689216950798 0 0.0357693020416008 0.0102083822537082 -0.0675670602819736 0.0495991980182566 0.0101167955535715 0.0668105237905223 -0.223001756937975 0.0896858022691731 -0.106531513400583 -0.00678504840645644 0.0134485427007007 0.0300000000000011 -0.0989691535751547 -0.115464366100554 0.0988679532745067 -0.0709498589393718
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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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