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Data:
10.47 10.44 10.41 10.37 10.38 10.38 10.37 10.41 10.44 10.43 10.47 10.49 10.53 10.63 10.66 10.66 10.64 10.65 10.61 10.6 10.61 10.63 10.63 10.61 10.7 10.69 10.62 10.62 10.63 10.62 10.53 10.51 10.5 10.52 10.47 10.43 10.35 10.31 10.25 10.26 10.2 10.13 10.06 10.01 9.95 9.92 9.87 9.83 9.7 9.63 9.56 9.53 9.47 9.4 9.32 9.26 9.19 9.1 9.03 8.95 8.85 8.78 8.71 8.61 8.54 8.49 8.42 8.36 8.3 8.19 8.15 8.1 8.04 8.05 8.04 8 8.02 8 8 8.01 8.04 8.1 8.14 8.17 8.17 8.22 8.21 8.29 8.37 8.43 8.47 8.51 8.55 8.59 8.66 8.71 8.78 8.81 8.84 8.81 8.82 8.84 8.83 8.83 8.88 8.88 8.89 8.93 8.95 8.92 8.97 8.99 9.01 8.99 9.03 9.04 9.07 9.04 9.07 9.09 9.04 9.08 9.13 9.09 9.05 9.06 8.99 8.98 8.99 8.94 8.87 8.83 8.8 8.79 8.71 8.6 8.5 8.38 8.26 8.23 8.17 8.1 8.02 7.9 7.82 7.72 7.63 7.53 7.56 7.49 7.53 7.47 7.39 7.37 7.34 7.39 7.32 7.24 7.18 7.31 7.39 7.48 7.51 7.61 7.69 7.86 8.05 8.24 8.55 8.81 9.13 9.24 9.36 9.48 9.61 9.7 9.82 9.86 9.87 9.87
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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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