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Data:
-30.75 -209.8 -210.8 -332.8 -85.75 -206.8 -158.8 -87.75 -138.8 -64.75 434.2 430.2 34.25 47.25 -0.7515 -159.8 -142.8 -197.8 87.25 82.25 1.249 290.2 524.2 760.2 312.2 -62.75 -24.75 -94.75 87.25 28.25 77.25 208.2 -98.75 274.2 515.2 474.2 362.2 50.25 117.2 -148.8 258.2 135.2 247.2 -28.75 60.25 258.2 679.2 936.2 379.2 245.2 -40.75 223.2 285.2 95.25 294.2 194.2 366.2 362.2 400.2 432.2 -109.8 -214.8 -169.8 -335.8 13.25 80.25 61.25 169.2 286.2 359.2 374.2 333.2 -140.8 -361.8 -65.75 -335.8 -198.8 -296.8 -275.8 -174.8 -61.75 -156.8 187.2 481.2 -244.8 -62.75 -310.8 -322.8 -187.8 -408.8 -191.8 -390.8 -90.75 30.25 240.2 556.2 -69.75 -316.8 -306.8 -314.8 -323.8 -197.8 -189.8 -74.75 -202.8 -32.75 282.2 497.2 238.2 -255.8 -154.8 -258.8 -271.8 -95.75 -60.75 -79.75 -74.75 -34.75 332.2 544.2 95.25 -272.8 44.25 -256.8 -161.8 -286.8 -290.8 -163.8 -72.75 -64.75 298.2 489.2 -52.75 -356.8 -211.8 -357.8 -264.8 -195.8 -257.8 -165.8 -169.8 109.2 19.25 223.2 -243.8 -259.8 -175.8 -313.8 -195.8 -332.8 -76.75 -207.8 -36.75 220.2 150.2 8.249 -261.8 -272.8 -261.8 -352.8 -230.8 -159.8 -229.8 -33.75 -123.8 132.2 280.2 361.2 -223.8 -264.7 -103.7 -153.7 -85.7 -245.7 -147.7 -182.7 105.3 165.3 161.3 191.3 35.3 -156.7 -39.7 -211.7 -24.7 -136.7 -99.7 -37.7 122.3 253.3 415.3 441.3
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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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