Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
87.28 255 87.28 280.2 87.09 299.9 86.92 339.2 87.59 374.2 90.72 393.5 90.69 389.2 90.3 381.7 89.55 375.2 88.94 369 88.41 357.4 87.82 352.1 87.07 346.5 86.82 342.9 86.4 340.3 86.02 328.3 85.66 322.9 85.32 314.3 85 308.9 84.67 294 83.94 285.6 82.83 281.2 81.95 280.3 81.19 278.8 80.48 274.5 78.86 270.4 69.47 263.4 68.77 259.9 70.06 258 73.95 262.7 75.8 284.7 77.79 311.3 81.57 322.1 83.07 327 84.34 331.3 85.1 333.3 85.25 321.4 84.26 327 83.63 320 86.44 314.7 85.3 316.7 84.1 314.4 83.36 321.3 82.48 318.2 81.58 307.2 80.47 301.3 79.34 287.5 82.13 277.7 81.69 274.4 80.7 258.8 79.88 253.3 79.16 251 78.38 248.4 77.42 249.5 76.47 246.1 75.46 244.5 74.48 243.6 78.27 244 80.7 240.8 79.91 249.8 78.75 248 77.78 259.4 81.14 260.5 81.08 260.8 80.03 261.3 78.91 259.5 78.01 256.6 76.9 257.9 75.97 256.5 81.93 254.2 80.27 253.3 78.67 253.8 77.42 255.5 76.16 257.1 74.7 257.3 76.39 253.2 76.04 252.8 74.65 252 73.29 250.7 71.79 252.2 74.39 250 74.91 251 74.54 253.4 73.08 251.2 72.75 255.6 71.32 261.1 70.38 258.9 70.35 259.9 70.01 261.2 69.36 264.7 67.77 267.1 69.26 266.4 69.8 267.7 68.38 268.6 67.62 267.5 68.39 268.5 66.95 268.5 65.21 270.5 66.64 270.9 63.45 270.1 60.66 269.3 62.34 269.8 60.32 270.1 58.64 264.9 60.46 263.7 58.59 264.8 61.87 263.7 61.85 255.9 67.44 276.2 77.06 360.1 91.74 380.5 93.15 373.7 94.15 369.8 93.11 366.6 91.51 359.3 89.96 345.8 88.16 326.2 86.98 324.5 88.03 328.1 86.24 327.5 84.65 324.4 83.23 316.5 81.7 310.9 80.25 301.5 78.8 291.7 77.51 290.4 76.2 287.4 75.04 277.7 74 281.6 75.49 288 77.14 276 76.15 272.9 76.27 283 78.19 283.3 76.49 276.8 77.31 284.5 76.65 282.7 74.99 281.2 73.51 287.4 72.07 283.1 70.59 284 71.96 285.5 76.29 289.2 74.86 292.5 74.93 296.4 71.9 305.2 71.01 303.9 77.47 311.5 75.78 316.3 76.6 316.7 76.07 322.5 74.57 317.1 73.02 309.8 72.65 303.8 73.16 290.3 71.53 293.7 69.78 291.7 67.98 296.5 69.96 289.1 72.16 288.5 70.47 293.8 68.86 297.7 67.37 305.4 65.87 302.7 72.16 302.5 71.34 303 69.93 294.5 68.44 294.1 67.16 294.5 66.01 297.1 67.25 289.4 70.91 292.4 69.75 287.9 68.59 286.6 67.48 280.5 66.31 272.4 64.81 269.2 66.58 270.6 65.97 267.3 64.7 262.5 64.7 266.8 60.94 268.8 59.08 263.1 58.42 261.2 57.77 266 57.11 262.5 53.31 265.2 49.96 261.3 49.4 253.7 48.84 249.2 48.3 239.1 47.74 236.4 47.24 235.2 46.76 245.2 46.29 246.2 48.9 247.7 49.23 251.4 48.53 253.3 48.03 254.8 54.34 250 53.79 249.3 53.24 241.5 52.96 243.3 52.17 248 51.7 253 58.55 252.9 78.2 251.5 77.03 251.6 76.19 253.5 77.15 259.8 75.87 334.1 95.47 448 109.67 445.8 112.28 445 112.01 448.2 107.93 438.2 105.96 439.8 105.06 423.4 102.98 410.8 102.2 408.4 105.23 406.7 101.85 405.9 99.89 402.7 96.23 405.1 94.76 399.6 91.51 386.5 91.63 381.4 91.54 375.2 85.23 357.7 87.83 359 87.38 355 84.44 352.7 85.19 344.4 84.03 343.8 86.73 338 102.52 339 104.45 333.3 106.98 334.4 107.02 328.3 99.26 330.7 94.45 330 113.44 331.6 157.33 351.2 147.38 389.4 171.89 410.9 171.95 442.8 132.71 462.8 126.02 466.9 121.18 461.7 115.45 439.2 110.48 430.3 117.85 416.1 117.63 402.5 124.65 397.3 109.59 403.3 111.27 395.9 99.78 387.8 98.21 378.6 99.2 377.1 97.97 370.4 89.55 362 87.91 350.3 93.34 348.2 94.42 344.6 93.2 343.5 90.29 342.8 91.46 347.6 89.98 346.6 88.35 349.5 88.41 342.1 82.44 342 79.89 342.8 75.69 339.3 75.66 348.2 84.5 333.7 96.73 334.7 87.48 354 82.39 367.7 83.48 363.3 79.31 358.4 78.16 353.1 72.77 343.1 72.45 344.6 68.46 344.4 67.62 333.9 68.76 331.7 70.07 324.3 68.55 321.2 65.3 322.4 58.96 321.7 59.17 320.5 62.37 312.8 66.28 309.7 55.62 315.6 55.23 309.7 55.85 304.6 56.75 302.5 50.89 301.5 53.88 298.8 52.95 291.3 55.08 293.6 53.61 294.6 58.78 285.9 61.85 297.6 55.91 301.1 53.32 293.8 46.41 297.7 44.57 292.9 50 292.1 50 287.2 53.36 288.2 46.23 283.8 50.45 299.9 49.07 292.4 45.85 293.3 48.45 300.8 49.96 293.7 46.53 293.1 50.51 294.4 47.58 292.1 48.05 291.9 46.84 282.5 47.67 277.9 49.16 287.5 55.54 289.2 55.82 285.6 58.22 293.2 56.19 290.8 57.77 283.1 63.19 275 54.76 287.8 55.74 287.8 62.54 287.4 61.39 284 69.6 277.8 79.23 277.6 80 304.9 93.68 294 107.63 300.9 100.18 324 97.3 332.9 90.45 341.6 80.64 333.4 80.58 348.2 75.82 344.7 85.59 344.7 89.35 329.3 89.42 323.5 104.73 323.2 95.32 317.4 89.27 330.1 90.44 329.2 86.97 334.9 79.98 315.8 81.22 315.4 87.35 319.6 83.64 317.3 82.22 313.8 94.4 315.8 102.18 311.3
Sample Range:
(leave blank to include all observations)
From:
To:
# blockwidth
Chart options
R Code
par1 <- as.numeric(par1) (n <- length(x)) (np <- floor(n / par1)) arr <- array(NA,dim=c(par1,np+1)) darr <- array(NA,dim=c(par1,np+1)) ari <- array(0,dim=par1) dx <- diff(x) j <- 0 for (i in 1:n) { j = j + 1 ari[j] = ari[j] + 1 arr[j,ari[j]] <- x[i] darr[j,ari[j]] <- dx[i] if (j == par1) j = 0 } ari arr darr arr.mean <- array(NA,dim=par1) arr.median <- array(NA,dim=par1) arr.midrange <- array(NA,dim=par1) for (j in 1:par1) { arr.mean[j] <- mean(arr[j,],na.rm=TRUE) arr.median[j] <- median(arr[j,],na.rm=TRUE) arr.midrange[j] <- (quantile(arr[j,],0.75,na.rm=TRUE) + quantile(arr[j,],0.25,na.rm=TRUE)) / 2 } overall.mean <- mean(x) overall.median <- median(x) overall.midrange <- (quantile(x,0.75) + quantile(x,0.25)) / 2 bitmap(file='plot1.png') plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index') mtext(paste('#blocks = ',np)) abline(overall.mean,0) dev.off() bitmap(file='plot2.png') plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index') mtext(paste('#blocks = ',np)) abline(overall.median,0) dev.off() bitmap(file='plot3.png') plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index') mtext(paste('#blocks = ',np)) abline(overall.midrange,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='plot4b.png') z <- data.frame(t(darr)) names(z) <- c(1:par1) (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced 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.mean,arr.median,arr.midrange)) names(z) <- list('mean','median','midrange') (boxplot(z,notch=TRUE,col='grey',ylab='Overall Central Tendency',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