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Data:
8357.00 7454.00 8076.00 7248.00 7339.00 7292.00 7359.00 7537.00 7441.00 8057.00 8037.00 8257.00 8692.00 8119.00 8236.00 7432.00 7669.00 7453.00 7566.00 7731.00 7657.00 8130.00 8401.00 8737.00 9009.00 7919.00 8228.00 7903.00 7912.00 7857.00 7965.00 8091.00 8024.00 8772.00 8656.00 8953.00 9014.00 8103.00 8876.00 8231.00 8173.00 8087.00 8296.00 8007.00 8382.00 9168.00 9137.00 9321.00 9234.00 8451.00 9101.00 8279.00 8284.00 8225.00 8597.00 8305.00 8620.00 9102.00 9258.00 9652.00 9522.00 8874.00 9415.00 8525.00 8862.00 8421.00 8626.00 8750.00 8852.00 9412.00 9570.00 9513.00 9986.00 8907.00 9663.00 8799.00 8931.00 8732.00 8936.00 9127.00 9070.00 9773.00 9670.00 9929.00 10095.00 9025.00 9659.00 8954.00 9022.00 8855.00 9034.00 9196.00 9038.00 9650.00 9715.00 10052.00 10436.00 9314.00 9717.00 8997.00 9062.00 8885.00 9058.00 9095.00 9149.00 9857.00 9848.00 10269.00 10341.00 9690.00 10125.00 9349.00 9224.00 9224.00 9454.00 9347.00 9430.00 9933.00 10148.00 10677.00 10735.00 9760.00 10567.00 9333.00 9409.00 9502.00 9348.00 9319.00 9594.00 10160.00 10182.00 10810.00 11105.00 9874.00 10958.00 9311.00 9610.00 9398.00 9784.00 9425.00 9557.00 10166.00 10337.00 10770.00 11265.00 10183.00 10941.00 9628.00 9709.00 9637.00 9579.00 9741.00 9754.00 10508.00 10749.00 11079.00 11608.00 10668.00 10933.00 9703.00 9799.00 9656.00 9648.00 9712.00 9766.00 10540.00 10564.00 10911.00 11218.00 10230.00 10410.00 9227.00 9378.00 9105.00 9128.00
Sample Range:
(leave blank to include all observations)
From:
To:
# periods
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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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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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