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Data:
0.00859998385681809 -0.0516183629422123 -0.089487775971606 -0.251844244432768 0.122632171509059 0.0816699400310565 0.167444748281318 0.0231651546860949 -0.0225265630158291 0.0447294066957416 0.0163578378735088 0.112362132776152 -0.147021204725632 -0.0618224419478195 0.0406758425947729 -0.047006802943144 0.217287879738682 -0.109331250955418 -0.083889434977793 -0.0213208563430614 0.0771101113340816 -0.0348601848684801 -0.0157141228481655 0.0308765367816413 0.0747168285222602 -0.0380783870999479 -0.0161545567464945 -0.0988691448835235 0.0922733767803183 -0.135567802836038 -0.100931188340963 0.0810365027067588 -0.121616409559159 -0.138450043277557 -0.0231176980456893 -0.0242461318196185 -0.160767743065978 -0.0223656329037984 0.0594171305400248 -0.00625466254521179 -0.0619148924489608 -0.27837401032122 0.0815891726132012 -0.21597818999435 -0.228583036465338 0.130558856654495 -0.194616597656450 -0.0363304882511244 -0.0208878673429185 -0.106416925931527 -0.054699458000595 0.0111697673950770 -0.0759208295404639 0.176230289596661 0.121412555765928 0.0860802768988451 -0.0416128786586931 -0.00648601967109741 0.0834865147180652 0.176085070601459
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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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