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Data:
40927.00 40856.00 40778.00 40635.00 42103.00 42032.00 40927.00 40194.00 40265.00 40265.00 40336.00 40486.00 40856.00 40414.00 40856.00 40486.00 41661.00 42181.00 39973.00 39381.00 39894.00 39823.00 39381.00 39453.00 40336.00 40194.00 40336.00 40336.00 41298.00 41440.00 38790.00 38790.00 39823.00 39310.00 38427.00 38790.00 39674.00 39232.00 39161.00 38206.00 39602.00 39894.00 37023.00 36952.00 38427.00 37615.00 36218.00 36810.00 37465.00 37615.00 37173.00 36290.00 38128.00 38128.00 34893.00 34673.00 35556.00 33939.00 32314.00 32835.00 33939.00 33055.00 32464.00 31210.00 32906.00 32977.00 29743.00 29664.00 30256.00 28418.00 26430.00 27235.00 28339.00 27164.00 27093.00 25910.00 27826.00 28197.00 24585.00 23780.00 24293.00 22305.00 20246.00 20909.00 22156.00 20688.00 20909.00 20026.00 21864.00 22084.00 17668.00 17375.00 18180.00 16050.00 14134.00 14797.00 16414.00 14504.00 14355.00 12880.00 14504.00 15017.00 10451.00 10451.00 11113.00 9347.00 7359.00 8392.00 10230.00 8242.00 9055.00 7950.00 9717.00 10308.00 5592.00 5229.00 5963.00 4196.00 2800.00 3384.00
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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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