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Data:
2888.9 2916.2 2939.5 2968.3 2986.7 3008.4 3035.3 3059 3078.4 3096.8 3125.2 3157.6 3186 3215.2 3257.8 3296 3330.6 3366.2 3402.9 3426.1 3461.3 3488 3509.5 3536 3561 3593.2 3620.4 3630.4 3643.1 3672.5 3692.2 3719.4 3744.1 3768.3 3803.5 3838.9 3860.4 3879.8 3905.5 3932.4 3959.7 3980.7 4012.8 4037.7 4065 4086.4 4106.9 4137.5 4166.3 4177.8 4176.4 4189.8 4218 4235.9 4237.9 4264.6 4295.5 4327.8 4340.1 4340.2 4375.3 4405.2 4433.3 4472 4507.4 4525.5 4562.5 4581.6 4591 4614 4643.3 4674.6 4687.4 4703.2 4728.3 4757.1 4765.2 4785.4 4810.1 4830.2 4843.3 4861.1 4875.6 4897.3 4901.5 4900.4 4914.6 4930.2 4917 4936.1 4942.3 4951.1 4975.6 4973.5 4963.4 4974.8 5001.8 5013.4 5007.9 4985.6 4967.1 4988.9 4999.8 4988.3 4975.5 4981.1 4993.4 4992.9 4994.1 5014.4 5028.6 5025.4 5021.7 5026.9 5026.6
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R Code
par1 <- '12' 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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