Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
98.6 98.8 99.9 100.3 100.2 100.2 100.6 100.4 100.7 100.9 99.7 99.7 96.8 99.2 99.9 99.3 98.9 98.9 98.7 98.4 98.6 98.5 98.1 98.3 98.1 97.9 99.1 98.5 98.2 97.8 98 98 97.6 97.6 97.6 97.5 96.1 96.1 96.3 96.3 96.3 96 96 95.2 96 96.1 95.3 95.1 94.8 94.5 94.7 94.8 94.5 94.5 92.8 92.8 94.5 94.4 94.2 94.1 92.9 93.3 93.6 93.6 94 94 94.2 93.3 93 93 94.7 95.6 95.8 96 95.4 95.3 94.4 94.4 94.3 93.9 94.5 93.6 93.9 93.9 93.7 94.6 94.4 94 91.1 91.1 90.7 90.8 89.8 90.7 90.3 89.7 89 88.4 89.3 89.3 89.3 89.3 88.4 89.4 91.3 90.9 91 89.3 88.1 89 90.1 90.6 90.6 90.2 89.5 90.5 90.4 89.7 90 90.2 89.3 89.6 89.8 89.4 89.3 89.4 89.5 89.2 90 88 88.3 89.1
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
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation