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Data:
0.101412434656184 8.81202575001982 7.22218199005616 6.34522390407069 10.8649940993359 -10.8922198651649 0.734394414465646 -0.0179390706289798 9.77474289606975 -1.89838978467021 -7.43663216780881 3.93631177801305 -7.37586328597002 4.56937607566163 -5.57644511931599 -5.01498813962224 -3.15959218858348 19.1892932271942 -7.06045860990475 11.0833125612922 -13.0458821593181 -9.06290124399022 -1.28060038228237 -15.9882579614673 -7.77520617937238 -0.433574311074287 9.42649047423882 10.8410822582803 -3.69645197084187 -0.959561390175432 -2.93909670762435 -5.22988378451808 -8.70332470272302 0.20118534528325 8.63697951799477 0.0353594847692281 -8.52606038876601 4.32479728273804 3.77674215942339 -4.3395217968542 -13.1524297646555 -4.89269052015993 -3.64581392623976 -3.03944041822005 9.51943698875795 -3.59266175781745 -5.48035015252675 -4.25254907793764 -9.9008973968445 -1.75816861848705 -1.52563999886315 -7.18999545624147 -5.51845416493396 3.89790349608751 -3.35322089064957 2.13650137374166 -5.51652882241756 -2.76178813847456 8.56498835185603 9.7467700827992
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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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