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Data:
3221816.00 3209817.00 3197649.00 3172468.00 3421574.00 3408392.00 3221816.00 3097770.00 3109769.00 3109769.00 3123120.00 3147118.00 3184467.00 3184467.00 3160469.00 3097770.00 3421574.00 3470922.00 3396393.00 3221816.00 3296514.00 3184467.00 3234998.00 3259165.00 3284346.00 3221816.00 3234998.00 3147118.00 3421574.00 3508271.00 3433742.00 3296514.00 3445741.00 3284346.00 3433742.00 3421574.00 3458923.00 3321695.00 3470922.00 3458923.00 3682848.00 3632317.00 3433742.00 3333694.00 3470922.00 3284346.00 3421574.00 3445741.00 3496272.00 3384394.00 3445741.00 3483090.00 3620318.00 3508271.00 3359044.00 3197649.00 3347045.00 2936375.00 3135119.00 3246997.00 3359044.00 3197649.00 3197649.00 3197649.00 3284346.00 3160469.00 2997891.00 2861846.00 2960542.00 2575222.00 2811315.00 2948543.00 2973724.00 2836496.00 2848495.00 2811315.00 2936375.00 2848495.00 2675270.00 2550041.00 2761798.00 2301949.00 2600572.00 2736617.00 2736617.00 2575222.00 2425995.00 2413996.00 2550041.00 2425995.00 2190071.00 2027493.00 2202070.00 1791569.00 2164721.00 2363296.00 2425995.00 2288767.00 2115373.00 2239419.00 2288767.00 2251418.00 1878097.00 1704872.00 1828749.00 1455597.00 1840917.00 1978145.00 2090023.00 1903447.00 1728870.00 1828749.00 1878097.00 1779401.00 1406249.00 1243671.00 1392898.00 982397.00 1430247.00 1704872.00
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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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