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Data:
7263.63 7135.88 7008.00 6752.38 9339.00 9211.13 7263.63 5970.38 6098.13 6098.13 6226.00 6495.50 5714.75 4932.75 4292.38 4292.38 6752.38 7008.00 5060.50 2857.38 4022.88 4022.88 4932.75 5457.88 5330.00 4022.88 4677.13 4420.25 6623.38 6098.13 4022.88 2472.75 3895.00 4292.38 4677.13 5188.38 4150.63 3254.75 3639.50 3767.25 7135.88 7135.88 5188.38 4932.75 5714.75 5330.00 6367.75 7661.00 7917.88 6098.13 5585.63 5060.50 8570.88 8827.75 8173.50 8827.75 8698.63 7661.00 8827.75 10121.00 10646.13 9083.38 8045.63 8827.75 12196.25 13234.00 12978.38 13489.50 13361.75 12068.50 14271.63 14796.75 15564.88 13234.00 12324.13 13361.75 15834.38 18037.50 17512.38 17512.38 17769.25 16872.00 19204.25 19204.25 18806.88 16602.50 16999.88 17256.75 18947.38 21150.50 19587.63 20369.75 19715.50 19332.00 22317.25 21663.00 20753.13 19459.88 20753.13 21407.38 22188.13 23225.75 22188.13 22828.50 22047.63 21919.88 25160.63 25430.13 24392.50 22572.88 24123.00 24776.00 25558.00 26723.50 25558.00 26467.88 26070.50 24648.13 27633.25 27633.25
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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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