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Data:
36439.00 36368.00 36290.00 36147.00 37615.00 37543.00 36439.00 35705.00 35777.00 35777.00 35848.00 35998.00 35998.00 35335.00 35043.00 35335.00 36368.00 36218.00 34822.00 33640.00 33419.00 32977.00 33276.00 33640.00 33497.00 33198.00 32614.00 33198.00 33718.00 33568.00 31873.00 31139.00 30405.00 29814.00 29743.00 30184.00 29593.00 29372.00 29151.00 30405.00 30548.00 29814.00 27826.00 26943.00 25547.00 24955.00 25247.00 25689.00 25689.00 25326.00 25247.00 26430.00 27385.00 26943.00 25468.00 24735.00 23189.00 22234.00 22968.00 23702.00 23702.00 22747.00 22676.00 23922.00 24735.00 24442.00 22968.00 22013.00 19947.00 19142.00 19434.00 20688.00 20759.00 18921.00 19584.00 21201.00 21935.00 21493.00 19506.00 18109.00 16492.00 15238.00 15751.00 16855.00 16563.00 14946.00 15459.00 17076.00 17960.00 17447.00 15459.00 14576.00 13251.00 11854.00 12075.00 13179.00 13322.00 11997.00 12218.00 14063.00 14504.00 13764.00 11042.00 9646.00 7801.00 5963.00 6554.00 7359.00 7217.00 5813.00 6625.00 8613.00 9496.00 9055.00 7288.00 5892.00 4417.00 2721.00 3021.00 3534.00
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R Code
par1 <- as.numeric(par1) x <- na.omit(x) (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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