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jan/00 41086 feb/00 39690 mrt/00 43129 apr/00 37863 mei/00 35953 jun/00 29133 jul/00 24693 aug/00 22205 sep/00 21725 okt/00 27192 nov/00 21790 dec/00 13253 jan/01 37702 feb/01 30364 mrt/01 32609 apr/01 30212 mei/01 29965 jun/01 28352 jul/01 25814 aug/01 22414 sep/01 20506 okt/01 28806 nov/01 22228 dec/01 13971 jan/02 36845 feb/02 35338 mrt/02 35022 apr/02 34777 mei/02 26887 jun/02 23970 jul/02 22780 aug/02 17351 sep/02 21382 okt/02 24561 nov/02 17409 dec/02 11514 jan/03 31514 feb/03 27071 mrt/03 29462 apr/03 26105 mei/03 22397 jun/03 23843 jul/03 21705 aug/03 18089 sep/03 20764 okt/03 25316 nov/03 17704 dec/03 15548 jan/04 28029 feb/04 29383 mrt/04 36438 apr/04 32034 mei/04 22679 jun/04 24319 jul/04 18004 aug/04 17537 sep/04 20366 okt/04 22782 nov/04 19169 dec/04 13807 jan/05 29743 feb/05 25591 mrt/05 29096 apr/05 26482 mei/05 22405 jun/05 27044 jul/05 17970 aug/05 18730 sep/05 19684 okt/05 19785 nov/05 18479 dec/05 10698
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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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