Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
9.26 9.27 9.29 9.27 9.29 9.31 9.33 9.35 9.34 9.35 9.38 9.43 9.47 9.5 9.55 9.58 9.61 9.57 9.61 9.65 9.62 9.63 9.62 9.63 9.65 9.72 9.75 9.77 9.78 9.82 9.84 9.9 9.94 9.96 10.03 10.03 10.12 10.12 10.05 10.14 10.17 10.2 10.2 10.35 10.43 10.52 10.57 10.57 10.57 10.65 10.57 10.61 10.63 10.71 10.72 10.77 10.79 10.82 10.9 10.83 10.92 10.91 10.88 10.87 11 10.99 11.03 11.04 10.99 10.9 11 10.99 10.92 10.98 11.15 11.19 11.33 11.38 11.4 11.45 11.56 11.61 11.82 11.77 11.85 11.82 11.92 11.86 11.87 11.94 11.86 11.92 11.83 11.91 11.93 11.99 11.96 12.12 11.85 12.01 12.1 12.21 12.31 12.31 12.39 12.35 12.41 12.51 12.27 12.51 12.44 12.47 12.51 12.58 12.5 12.52 12.59 12.51 12.67 12.64 12.54 12.6 12.67 12.62 12.72 12.85 12.85 12.82 12.79 12.94 12.71 12.56
Sample Range:
(leave blank to include all observations)
From:
To:
# periods
Chart options
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()
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation