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Data:
247832.00 246909.00 245973.00 244036.00 263198.00 262184.00 247832.00 238290.00 239213.00 239213.00 240240.00 242086.00 244959.00 244959.00 243113.00 238290.00 263198.00 266994.00 261261.00 247832.00 253578.00 244959.00 248846.00 250705.00 252642.00 247832.00 248846.00 242086.00 263198.00 269867.00 264134.00 253578.00 265057.00 252642.00 264134.00 263198.00 266071.00 255515.00 266994.00 266071.00 283296.00 279409.00 264134.00 256438.00 266994.00 252642.00 263198.00 265057.00 268944.00 260338.00 265057.00 267930.00 278486.00 269867.00 258388.00 245973.00 257465.00 225875.00 241163.00 249769.00 258388.00 245973.00 245973.00 245973.00 252642.00 243113.00 230607.00 220142.00 227734.00 198094.00 216255.00 226811.00 228748.00 218192.00 219115.00 216255.00 225875.00 219115.00 205790.00 196157.00 212446.00 177073.00 200044.00 210509.00 210509.00 198094.00 186615.00 185692.00 196157.00 186615.00 168467.00 155961.00 169390.00 137813.00 166517.00 181792.00 186615.00 176059.00 162721.00 172263.00 176059.00 173186.00 144469.00 131144.00 140673.00 111969.00 141609.00 152165.00 160771.00 146419.00 132990.00 140673.00 144469.00 136877.00 108173.00 95667.00 107146.00 75569.00 110019.00 131144.00
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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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