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Data:
0.000746099568952258 0.0292111461738571 -0.00280267596084322 -0.00184368563002967 0.0107457257770334 -0.0175566443253344 0.0131165820445929 -0.0324353168918367 0.0224382020922924 -0.0196217959970839 0.00495492412026389 0.00168574453846993 -0.00506586405101019 -0.0116484658020629 -0.00266112877646428 0.0179412217929573 -0.0168120805195169 -0.0147697069296257 0.035665172596409 0.00293868331101443 -0.0145835439671676 0.0184871974956284 -0.00672423964360273 -0.00834464807562108 0.0169769773776811 0.0141585136611232 0.00520840412118636 -0.0225065086691335 0.0221256937859677 0.008638135296458 0.0259853418092942 -0.014962664383958 0.0336773377780083 -0.00849413990510539 -0.0229882773676451 0.0569000711376357 0.025309869239244 -0.029512999542613 -0.00750220761300227 0.00584857420117411 0.061296189365771 -0.0463306298649301 0.0380278085379684 -0.00825029078426785 0.0306190401585776 -0.04367173164859 -0.0556117529677963 -0.0645860417354424 -0.111874591444632 0.0165546744538422 0.0221480269493989 -0.0314854358112557 0.000731004014562505 0.038079969509555 0.0370058066179545 0.0559163673005735 0.00562659064346704 0.0194175429404750 -0.00318505854805297
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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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