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Data:
0.0180678527088341 0.0562901166564763 -0.0383920228971653 0.0197362615228291 -0.0349783616211472 0.0068518670200992 0.0280842746777466 0.0446752709325745 0.0346027844881839 -0.04235896700803 -0.0704530877146328 -0.141169759207391 0.190464885503065 0.0160178050891860 0.136736106377406 0.00968031609540383 -0.0209143775407505 -0.0925769658093795 0.0384619588840446 0.0682195700863305 -0.134498105554547 0.0218255727200960 0.0776457687368569 0.0689225629397706 0.0740965027033676 -0.103338356927779 -0.0429672132927176 0.0365409556880891 -0.0414354395090189 -0.012330339132303 0.0286531468201482 -0.0263319233764757 0.0785732307259898 0.0237994722126526 0.0377483003142014 0.0507363385159117 -0.0223289969571086 -0.0483741687167987 -0.138702439764697 0.0658943416950095 -0.015257998756574 -0.0966648642708767 -0.021423000325382 -0.00651105347738536 0.00512035105957504 0.073029300952841 0.0573348071614868 0.172161649472528 -0.0969619108653857 -0.0984926589389618 0.0508824323815179 -0.0623193761665625 -0.137439210181595 0.13754570197851 -0.0237979817564337 0.00561691044717635 0.0328043530195327 0.00654130655901269 0.0601321062076455 -0.0639295914075303 0.0224173380303157 0.317941659607052 0.0225647602888595 -0.0206822092677761 0.00654057567239308 -0.0190310812241401 0.0506293024636681 0.0309034012148992 0.161159786003573 -0.0350860450190002 0.0766629141540984 0.104018416656661 -0.0253219589883051 0.0607550354735824 -0.115326979930159 0.0242361757084084 -0.0348254913157667
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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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