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Data:
-0.486292969646479 -0.362917336110185 -0.536348990777285 -0.555623800824641 -0.495834828403081 -0.241674178268230 0.0662024989408287 0.0624686744880833 0.131634556956347 -0.081239572203563 -0.542159033439704 -0.917158420735452 -0.640742361222955 -0.247524779302203 0.249546137870057 0.469687002407094 0.683505850858074 0.599266846562666 0.325917110911554 0.128360909067523 0.0428308525653205 0.192221522252290 0.317269218228926 0.0135272792073247 0.00925906096951977 -0.160948944588365 -0.000173407413776173 0.120811485508215 0.140348479268687 0.30644371235379 0.225399015556098 0.152876286808116 0.131795430931023 0.369191902291354 0.588814505036284 0.777802395266439 0.783221145955551 0.586451320545133 0.216295832728025 0.0217444288285005 0.144111863643870 0.0582537457860351 0.111620653582971 0.194803324471820 0.0839897045834115 0.178865938694431 0.221819257268543 0.714491599311593 0.823884191371536 0.309683273192494 -0.197099071242002 -0.573850728645969 -0.513098671100029 -0.409419085955675 -0.386611433873316 -0.186734091800279 -0.390250545036102 -0.659039791034511 -0.585743947094049 -0.588662853049904 -0.489329067427174 -0.124743533736874 0.26777949883498 0.517231612726801 0.0409673057324789 -0.312871040478587 -0.342527845118136 -0.351775103035264
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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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