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Data:
38327240.00 38147255.00 37964735.00 37587020.00 41323610.00 41125880.00 38327240.00 36466550.00 36646535.00 36646535.00 36846800.00 37206770.00 37767005.00 37767005.00 37407035.00 36466550.00 41323610.00 42063830.00 40945895.00 38327240.00 39447710.00 37767005.00 38524970.00 38887475.00 39265190.00 38327240.00 38524970.00 37206770.00 41323610.00 42624065.00 41506130.00 39447710.00 41686115.00 39265190.00 41506130.00 41323610.00 41883845.00 39825425.00 42063830.00 41883845.00 45242720.00 44484755.00 41506130.00 40005410.00 42063830.00 39265190.00 41323610.00 41686115.00 42444080.00 40765910.00 41686115.00 42246350.00 44304770.00 42624065.00 40385660.00 37964735.00 40205675.00 34045625.00 37026785.00 38704955.00 40385660.00 37964735.00 37964735.00 37964735.00 39265190.00 37407035.00 34968365.00 32927690.00 34408130.00 28628330.00 32169725.00 34228145.00 34605860.00 32547440.00 32727425.00 32169725.00 34045625.00 32727425.00 30129050.00 28250615.00 31426970.00 24529235.00 29008580.00 31049255.00 31049255.00 28628330.00 26389925.00 26209940.00 28250615.00 26389925.00 22851065.00 20412395.00 23031050.00 16873535.00 22470815.00 25449440.00 26389925.00 24331505.00 21730595.00 23591285.00 24331505.00 23771270.00 18171455.00 15573080.00 17431235.00 11833955.00 17613755.00 19672175.00 21350345.00 18551705.00 15933050.00 17431235.00 18171455.00 16691015.00 11093735.00 8655065.00 10893470.00 4735955.00 11453705.00 15573080.00
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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)) ari <- array(0,dim=par1) j <- 0 for (i in 1:n) { j = j + 1 ari[j] = ari[j] + 1 arr[j,ari[j]] <- x[i] if (j == par1) j = 0 } ari arr arr.sd <- array(NA,dim=par1) arr.range <- array(NA,dim=par1) arr.iqr <- array(NA,dim=par1) for (j in 1:par1) { arr.sd[j] <- sqrt(var(arr[j,],na.rm=TRUE)) arr.range[j] <- max(arr[j,],na.rm=TRUE) - min(arr[j,],na.rm=TRUE) arr.iqr[j] <- quantile(arr[j,],0.75,na.rm=TRUE) - quantile(arr[j,],0.25,na.rm=TRUE) } overall.sd <- sqrt(var(x)) overall.range <- max(x) - min(x) overall.iqr <- quantile(x,0.75) - quantile(x,0.25) bitmap(file='plot1.png') plot(arr.sd,type='b',ylab='S.D.',main='Standard Deviation Plot',xlab='Periodic Index') mtext(paste('# blocks = ',np)) abline(overall.sd,0) dev.off() bitmap(file='plot2.png') plot(arr.range,type='b',ylab='range',main='Range Plot',xlab='Periodic Index') mtext(paste('# blocks = ',np)) abline(overall.range,0) dev.off() bitmap(file='plot3.png') plot(arr.iqr,type='b',ylab='IQR',main='Interquartile Range Plot',xlab='Periodic Index') mtext(paste('# blocks = ',np)) abline(overall.iqr,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='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.sd,arr.range,arr.iqr)) names(z) <- list('S.D.','Range','IQR') (boxplot(z,notch=TRUE,col='grey',ylab='Overall Variability',main='Notched Box Plots')) dev.off()
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