R version 2.12.1 (2010-12-16) Copyright (C) 2010 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i486-pc-linux-gnu (32-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- c(255 + ,280.2 + ,299.9 + ,339.2 + ,374.2 + ,393.5 + ,389.2 + ,381.7 + ,375.2 + ,369 + ,357.4 + ,352.1 + ,346.5 + ,342.9 + ,340.3 + ,328.3 + ,322.9 + ,314.3 + ,308.9 + ,294 + ,285.6 + ,281.2 + ,280.3 + ,278.8 + ,274.5 + ,270.4 + ,263.4 + ,259.9 + ,258 + ,262.7 + ,284.7 + ,311.3 + ,322.1 + ,327 + ,331.3 + ,333.3 + ,321.4 + ,327 + ,320 + ,314.7 + ,316.7 + ,314.4 + ,321.3 + ,318.2 + ,307.2 + ,301.3 + ,287.5 + ,277.7 + ,274.4 + ,258.8 + ,253.3 + ,251 + ,248.4 + ,249.5 + ,246.1 + ,244.5 + ,243.6 + ,244 + ,240.8 + ,249.8 + ,248 + ,259.4 + ,260.5 + ,260.8 + ,261.3 + ,259.5 + ,256.6 + ,257.9 + ,256.5 + ,254.2 + ,253.3 + ,253.8 + ,255.5 + ,257.1 + ,257.3 + ,253.2 + ,252.8 + ,252 + ,250.7 + ,252.2 + ,250 + ,251 + ,253.4 + ,251.2 + ,255.6 + ,261.1 + ,258.9 + ,259.9 + ,261.2 + ,264.7 + ,267.1 + ,266.4 + ,267.7 + ,268.6 + ,267.5 + ,268.5 + ,268.5 + ,270.5 + ,270.9 + ,270.1 + ,269.3 + ,269.8 + ,270.1 + ,264.9 + ,263.7 + ,264.8 + ,263.7 + ,255.9 + ,276.2 + ,360.1 + ,380.5 + ,373.7 + ,369.8 + ,366.6 + ,359.3 + ,345.8 + ,326.2 + ,324.5 + ,328.1 + ,327.5 + ,324.4 + ,316.5 + ,310.9 + ,301.5 + ,291.7 + ,290.4 + ,287.4 + ,277.7 + ,281.6 + ,288 + ,276 + ,272.9 + ,283 + ,283.3 + ,276.8 + ,284.5 + ,282.7 + ,281.2 + ,287.4 + ,283.1 + ,284 + ,285.5 + ,289.2 + ,292.5 + ,296.4 + ,305.2 + ,303.9 + ,311.5 + ,316.3 + ,316.7 + ,322.5 + ,317.1 + ,309.8 + ,303.8 + ,290.3 + ,293.7 + ,291.7 + ,296.5 + ,289.1 + ,288.5 + ,293.8 + ,297.7 + ,305.4 + ,302.7 + ,302.5 + ,303 + ,294.5 + ,294.1 + ,294.5 + ,297.1 + ,289.4 + ,292.4 + ,287.9 + ,286.6 + ,280.5 + ,272.4 + ,269.2 + ,270.6 + ,267.3 + ,262.5 + ,266.8 + ,268.8 + ,263.1 + ,261.2 + ,266 + ,262.5 + ,265.2 + ,261.3 + ,253.7 + ,249.2 + ,239.1 + ,236.4 + ,235.2 + ,245.2 + ,246.2 + ,247.7 + ,251.4 + ,253.3 + ,254.8 + ,250 + ,249.3 + ,241.5 + ,243.3 + ,248 + ,253 + ,252.9 + ,251.5 + ,251.6 + ,253.5 + ,259.8 + ,334.1 + ,448 + ,445.8 + ,445 + ,448.2 + ,438.2 + ,439.8 + ,423.4 + ,410.8 + ,408.4 + ,406.7 + ,405.9 + ,402.7 + ,405.1 + ,399.6 + ,386.5 + ,381.4 + ,375.2 + ,357.7 + ,359 + ,355 + ,352.7 + ,344.4 + ,343.8 + ,338 + ,339 + ,333.3 + ,334.4 + ,328.3 + ,330.7 + ,330 + ,331.6 + ,351.2 + ,389.4 + ,410.9 + ,442.8 + ,462.8 + ,466.9 + ,461.7 + ,439.2 + ,430.3 + ,416.1 + ,402.5 + ,397.3 + ,403.3 + ,395.9 + ,387.8 + ,378.6 + ,377.1 + ,370.4 + ,362 + ,350.3 + ,348.2 + ,344.6 + ,343.5 + ,342.8 + ,347.6 + ,346.6 + ,349.5 + ,342.1 + ,342 + ,342.8 + ,339.3 + ,348.2 + ,333.7 + ,334.7 + ,354 + ,367.7 + ,363.3 + ,358.4 + ,353.1 + ,343.1 + ,344.6 + ,344.4 + ,333.9 + ,331.7 + ,324.3 + ,321.2 + ,322.4 + ,321.7 + ,320.5 + ,312.8 + ,309.7 + ,315.6 + ,309.7 + ,304.6 + ,302.5 + ,301.5 + ,298.8 + ,291.3 + ,293.6 + ,294.6 + ,285.9 + ,297.6 + ,301.1 + ,293.8 + ,297.7 + ,292.9 + ,292.1 + ,287.2 + ,288.2 + ,283.8 + ,299.9 + ,292.4 + ,293.3 + ,300.8 + ,293.7 + ,293.1 + ,294.4 + ,292.1 + ,291.9 + ,282.5 + ,277.9 + ,287.5 + ,289.2 + ,285.6 + ,293.2 + ,290.8 + ,283.1 + ,275 + ,287.8 + ,287.8 + ,287.4 + ,284 + ,277.8 + ,277.6 + ,304.9 + ,294 + ,300.9 + ,324 + ,332.9 + ,341.6 + ,333.4 + ,348.2 + ,344.7 + ,344.7 + ,329.3 + ,323.5 + ,323.2 + ,317.4 + ,330.1 + ,329.2 + ,334.9 + ,315.8 + ,315.4 + ,319.6 + ,317.3 + ,313.8 + ,315.8 + ,311.3) > par1 = '60' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as.numeric(par1) > (n <- length(x)) [1] 360 > (np <- floor(n / par1)) [1] 6 > 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 [1] 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 [39] 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 > arr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] 255.0 248.0 324.4 266.8 330.0 293.6 NA [2,] 280.2 259.4 316.5 268.8 331.6 294.6 NA [3,] 299.9 260.5 310.9 263.1 351.2 285.9 NA [4,] 339.2 260.8 301.5 261.2 389.4 297.6 NA [5,] 374.2 261.3 291.7 266.0 410.9 301.1 NA [6,] 393.5 259.5 290.4 262.5 442.8 293.8 NA [7,] 389.2 256.6 287.4 265.2 462.8 297.7 NA [8,] 381.7 257.9 277.7 261.3 466.9 292.9 NA [9,] 375.2 256.5 281.6 253.7 461.7 292.1 NA [10,] 369.0 254.2 288.0 249.2 439.2 287.2 NA [11,] 357.4 253.3 276.0 239.1 430.3 288.2 NA [12,] 352.1 253.8 272.9 236.4 416.1 283.8 NA [13,] 346.5 255.5 283.0 235.2 402.5 299.9 NA [14,] 342.9 257.1 283.3 245.2 397.3 292.4 NA [15,] 340.3 257.3 276.8 246.2 403.3 293.3 NA [16,] 328.3 253.2 284.5 247.7 395.9 300.8 NA [17,] 322.9 252.8 282.7 251.4 387.8 293.7 NA [18,] 314.3 252.0 281.2 253.3 378.6 293.1 NA [19,] 308.9 250.7 287.4 254.8 377.1 294.4 NA [20,] 294.0 252.2 283.1 250.0 370.4 292.1 NA [21,] 285.6 250.0 284.0 249.3 362.0 291.9 NA [22,] 281.2 251.0 285.5 241.5 350.3 282.5 NA [23,] 280.3 253.4 289.2 243.3 348.2 277.9 NA [24,] 278.8 251.2 292.5 248.0 344.6 287.5 NA [25,] 274.5 255.6 296.4 253.0 343.5 289.2 NA [26,] 270.4 261.1 305.2 252.9 342.8 285.6 NA [27,] 263.4 258.9 303.9 251.5 347.6 293.2 NA [28,] 259.9 259.9 311.5 251.6 346.6 290.8 NA [29,] 258.0 261.2 316.3 253.5 349.5 283.1 NA [30,] 262.7 264.7 316.7 259.8 342.1 275.0 NA [31,] 284.7 267.1 322.5 334.1 342.0 287.8 NA [32,] 311.3 266.4 317.1 448.0 342.8 287.8 NA [33,] 322.1 267.7 309.8 445.8 339.3 287.4 NA [34,] 327.0 268.6 303.8 445.0 348.2 284.0 NA [35,] 331.3 267.5 290.3 448.2 333.7 277.8 NA [36,] 333.3 268.5 293.7 438.2 334.7 277.6 NA [37,] 321.4 268.5 291.7 439.8 354.0 304.9 NA [38,] 327.0 270.5 296.5 423.4 367.7 294.0 NA [39,] 320.0 270.9 289.1 410.8 363.3 300.9 NA [40,] 314.7 270.1 288.5 408.4 358.4 324.0 NA [41,] 316.7 269.3 293.8 406.7 353.1 332.9 NA [42,] 314.4 269.8 297.7 405.9 343.1 341.6 NA [43,] 321.3 270.1 305.4 402.7 344.6 333.4 NA [44,] 318.2 264.9 302.7 405.1 344.4 348.2 NA [45,] 307.2 263.7 302.5 399.6 333.9 344.7 NA [46,] 301.3 264.8 303.0 386.5 331.7 344.7 NA [47,] 287.5 263.7 294.5 381.4 324.3 329.3 NA [48,] 277.7 255.9 294.1 375.2 321.2 323.5 NA [49,] 274.4 276.2 294.5 357.7 322.4 323.2 NA [50,] 258.8 360.1 297.1 359.0 321.7 317.4 NA [51,] 253.3 380.5 289.4 355.0 320.5 330.1 NA [52,] 251.0 373.7 292.4 352.7 312.8 329.2 NA [53,] 248.4 369.8 287.9 344.4 309.7 334.9 NA [54,] 249.5 366.6 286.6 343.8 315.6 315.8 NA [55,] 246.1 359.3 280.5 338.0 309.7 315.4 NA [56,] 244.5 345.8 272.4 339.0 304.6 319.6 NA [57,] 243.6 326.2 269.2 333.3 302.5 317.3 NA [58,] 244.0 324.5 270.6 334.4 301.5 313.8 NA [59,] 240.8 328.1 267.3 328.3 298.8 315.8 NA [60,] 249.8 327.5 262.5 330.7 291.3 311.3 NA > darr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] 25.2 11.4 -7.9 2.0 1.6 1.0 NA [2,] 19.7 1.1 -5.6 -5.7 19.6 -8.7 NA [3,] 39.3 0.3 -9.4 -1.9 38.2 11.7 NA [4,] 35.0 0.5 -9.8 4.8 21.5 3.5 NA [5,] 19.3 -1.8 -1.3 -3.5 31.9 -7.3 NA [6,] -4.3 -2.9 -3.0 2.7 20.0 3.9 NA [7,] -7.5 1.3 -9.7 -3.9 4.1 -4.8 NA [8,] -6.5 -1.4 3.9 -7.6 -5.2 -0.8 NA [9,] -6.2 -2.3 6.4 -4.5 -22.5 -4.9 NA [10,] -11.6 -0.9 -12.0 -10.1 -8.9 1.0 NA [11,] -5.3 0.5 -3.1 -2.7 -14.2 -4.4 NA [12,] -5.6 1.7 10.1 -1.2 -13.6 16.1 NA [13,] -3.6 1.6 0.3 10.0 -5.2 -7.5 NA [14,] -2.6 0.2 -6.5 1.0 6.0 0.9 NA [15,] -12.0 -4.1 7.7 1.5 -7.4 7.5 NA [16,] -5.4 -0.4 -1.8 3.7 -8.1 -7.1 NA [17,] -8.6 -0.8 -1.5 1.9 -9.2 -0.6 NA [18,] -5.4 -1.3 6.2 1.5 -1.5 1.3 NA [19,] -14.9 1.5 -4.3 -4.8 -6.7 -2.3 NA [20,] -8.4 -2.2 0.9 -0.7 -8.4 -0.2 NA [21,] -4.4 1.0 1.5 -7.8 -11.7 -9.4 NA [22,] -0.9 2.4 3.7 1.8 -2.1 -4.6 NA [23,] -1.5 -2.2 3.3 4.7 -3.6 9.6 NA [24,] -4.3 4.4 3.9 5.0 -1.1 1.7 NA [25,] -4.1 5.5 8.8 -0.1 -0.7 -3.6 NA [26,] -7.0 -2.2 -1.3 -1.4 4.8 7.6 NA [27,] -3.5 1.0 7.6 0.1 -1.0 -2.4 NA [28,] -1.9 1.3 4.8 1.9 2.9 -7.7 NA [29,] 4.7 3.5 0.4 6.3 -7.4 -8.1 NA [30,] 22.0 2.4 5.8 74.3 -0.1 12.8 NA [31,] 26.6 -0.7 -5.4 113.9 0.8 0.0 NA [32,] 10.8 1.3 -7.3 -2.2 -3.5 -0.4 NA [33,] 4.9 0.9 -6.0 -0.8 8.9 -3.4 NA [34,] 4.3 -1.1 -13.5 3.2 -14.5 -6.2 NA [35,] 2.0 1.0 3.4 -10.0 1.0 -0.2 NA [36,] -11.9 0.0 -2.0 1.6 19.3 27.3 NA [37,] 5.6 2.0 4.8 -16.4 13.7 -10.9 NA [38,] -7.0 0.4 -7.4 -12.6 -4.4 6.9 NA [39,] -5.3 -0.8 -0.6 -2.4 -4.9 23.1 NA [40,] 2.0 -0.8 5.3 -1.7 -5.3 8.9 NA [41,] -2.3 0.5 3.9 -0.8 -10.0 8.7 NA [42,] 6.9 0.3 7.7 -3.2 1.5 -8.2 NA [43,] -3.1 -5.2 -2.7 2.4 -0.2 14.8 NA [44,] -11.0 -1.2 -0.2 -5.5 -10.5 -3.5 NA [45,] -5.9 1.1 0.5 -13.1 -2.2 0.0 NA [46,] -13.8 -1.1 -8.5 -5.1 -7.4 -15.4 NA [47,] -9.8 -7.8 -0.4 -6.2 -3.1 -5.8 NA [48,] -3.3 20.3 0.4 -17.5 1.2 -0.3 NA [49,] -15.6 83.9 2.6 1.3 -0.7 -5.8 NA [50,] -5.5 20.4 -7.7 -4.0 -1.2 12.7 NA [51,] -2.3 -6.8 3.0 -2.3 -7.7 -0.9 NA [52,] -2.6 -3.9 -4.5 -8.3 -3.1 5.7 NA [53,] 1.1 -3.2 -1.3 -0.6 5.9 -19.1 NA [54,] -3.4 -7.3 -6.1 -5.8 -5.9 -0.4 NA [55,] -1.6 -13.5 -8.1 1.0 -5.1 4.2 NA [56,] -0.9 -19.6 -3.2 -5.7 -2.1 -2.3 NA [57,] 0.4 -1.7 1.4 1.1 -1.0 -3.5 NA [58,] -3.2 3.6 -3.3 -6.1 -2.7 2.0 NA [59,] 9.0 -0.6 -4.8 2.4 -7.5 -4.5 NA [60,] -1.8 -3.1 4.3 -0.7 2.3 NA NA > 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 > postscript(file="/var/www/rcomp/tmp/1s3vy1321347248.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index') > mtext(paste('#blocks = ',np)) > abline(overall.mean,0) > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/2kkt91321347248.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index') > mtext(paste('#blocks = ',np)) > abline(overall.median,0) > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/3iw6c1321347248.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index') > mtext(paste('#blocks = ',np)) > abline(overall.midrange,0) > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/44vkn1321347248.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > 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')) $stats [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [1,] 248.0 259.4 260.5 260.80 261.3 259.5 256.60 257.9 253.70 249.2 239.1 [2,] 255.0 268.8 263.1 261.20 266.0 262.5 265.20 261.3 256.50 254.2 253.3 [3,] 280.2 287.4 292.9 299.55 296.4 292.1 292.55 285.3 286.85 287.6 282.1 [4,] 324.4 316.5 310.9 339.20 374.2 393.5 389.20 381.7 375.20 369.0 357.4 [5,] 330.0 331.6 351.2 389.40 410.9 442.8 462.80 466.9 461.70 439.2 430.3 [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [1,] 236.40 235.20 245.20 246.20 247.70 251.4 252.00 250.7 250.0 249.3 241.50 [2,] 253.80 255.50 257.10 257.30 253.20 252.8 253.30 254.8 252.2 250.0 251.00 [3,] 278.35 291.45 287.85 285.05 292.65 288.2 287.15 290.9 287.6 284.8 281.85 [4,] 352.10 346.50 342.90 340.30 328.30 322.9 314.30 308.9 294.0 291.9 285.50 [5,] 416.10 402.50 397.30 403.30 395.90 387.8 378.60 377.1 294.0 291.9 285.50 [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [1,] 243.3 248.00 253.00 252.9 251.5 251.60 253.50 259.80 267.10 266.4 267.70 [2,] 253.4 251.20 255.60 261.1 258.9 259.90 258.00 262.70 284.70 287.8 287.40 [3,] 279.1 283.15 281.85 278.0 278.3 275.35 272.15 269.85 305.15 314.2 315.95 [4,] 289.2 292.50 296.40 305.2 303.9 311.50 316.30 316.70 334.10 342.8 339.30 [5,] 289.2 344.60 343.50 342.8 347.6 346.60 349.50 342.10 342.00 342.8 339.30 [,34] [,35] [,36] [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [1,] 268.6 267.5 268.5 268.50 270.50 270.90 270.10 269.3 269.8 270.10 264.9 [2,] 284.0 277.8 277.6 291.70 294.00 289.10 288.50 293.8 297.7 305.40 302.7 [3,] 315.4 310.8 313.5 313.15 311.75 310.45 319.35 324.8 328.0 327.35 331.3 [4,] 348.2 333.7 334.7 354.00 367.70 363.30 358.40 353.1 343.1 344.60 348.2 [5,] 348.2 333.7 334.7 439.80 423.40 410.80 408.40 406.7 405.9 402.70 405.1 [,45] [,46] [,47] [,48] [,49] [,50] [,51] [,52] [,53] [,54] [,55] [1,] 263.70 264.80 263.7 255.90 274.40 258.80 253.3 251.0 248.4 249.5 246.10 [2,] 302.50 301.30 287.5 277.70 276.20 297.10 289.4 292.4 287.9 286.6 280.50 [3,] 320.55 317.35 309.4 307.65 308.45 319.55 325.3 321.0 322.3 315.7 312.55 [4,] 344.70 344.70 329.3 323.50 323.20 359.00 355.0 352.7 344.4 343.8 338.00 [5,] 399.60 386.50 381.4 375.20 357.70 360.10 380.5 373.7 369.8 366.6 359.30 [,56] [,57] [,58] [,59] [,60] [1,] 244.5 243.6 244.00 240.8 249.8 [2,] 272.4 269.2 270.60 267.3 262.5 [3,] 312.1 309.9 307.65 307.3 301.3 [4,] 339.0 326.2 324.50 328.1 327.5 [5,] 345.8 333.3 334.40 328.3 330.7 $n [1] 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 [39] 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 235.4348 256.6320 262.0675 249.2375 226.6075 207.6008 212.566 207.6381 [2,] 324.9652 318.1680 323.7325 349.8625 366.1925 376.5992 372.534 362.9619 [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [1,] 210.2847 213.5503 214.9521 214.9433 232.7521 232.5062 231.5123 244.2081 [2,] 363.4153 361.6497 349.2479 341.7567 350.1479 343.1938 338.5877 341.0919 [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 242.9832 247.8030 256.0038 260.6376 257.7731 259.5964 256.0078 256.5102 [2,] 333.4168 326.4970 325.7962 314.5624 311.8269 304.1036 302.1922 309.7898 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [1,] 255.5327 249.5541 249.2735 242.0663 234.5446 235.0183 273.2854 278.7232 [2,] 308.1673 306.4459 307.3265 308.6337 309.7554 304.6817 337.0146 349.6768 [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [1,] 282.4728 273.9889 274.7427 276.6687 272.9645 264.2111 262.5886 274.2622 [2,] 349.4272 356.8111 346.8573 350.3313 353.3355 359.2889 358.3114 364.4378 [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [1,] 286.5496 298.7155 302.0647 301.9510 293.3296 289.3556 282.4376 278.1075 [2,] 363.0504 357.2845 352.6353 360.6490 347.7704 345.3444 336.3624 337.1925 [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [1,] 278.1335 279.6225 282.9859 282.1046 285.8557 278.8042 275.4606 269.1408 [2,] 338.7665 359.4775 367.6141 359.8954 358.7443 352.5958 349.6394 355.0592 [,57] [,58] [,59] [,60] [1,] 273.1332 272.8828 268.0820 259.3729 [2,] 346.6668 342.4172 346.5180 343.2271 $out [1] 370.4 362.0 350.3 348.2 448.0 445.8 445.0 448.2 438.2 $group [1] 20 21 22 23 32 33 34 35 36 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" "13" "14" "15" [16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30" [31] "31" "32" "33" "34" "35" "36" "37" "38" "39" "40" "41" "42" "43" "44" "45" [46] "46" "47" "48" "49" "50" "51" "52" "53" "54" "55" "56" "57" "58" "59" "60" Warning message: In bxp(list(stats = c(248, 255, 280.2, 324.4, 330, 259.4, 268.8, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/5av371321347248.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > 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')) $stats [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [1,] -7.9 -8.70 -9.4 -9.80 -7.30 -4.3 -9.70 -7.6 -6.2 -12.0 -5.30 -13.60 -7.50 [2,] 1.0 -5.70 -1.9 0.50 -3.50 -3.0 -7.50 -6.5 -6.2 -11.6 -5.30 -5.60 -5.20 [3,] 1.8 -2.25 6.0 4.15 -1.55 -0.1 -4.35 -3.3 -4.7 -9.5 -3.75 0.25 -1.65 [4,] 11.4 19.60 38.2 21.50 19.30 3.9 1.30 -0.8 -2.3 -0.9 -2.70 10.10 1.60 [5,] 25.2 19.70 39.3 35.00 31.90 3.9 4.10 3.9 -2.3 1.0 0.50 16.10 10.00 [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] -6.50 -12.0 -8.1 -9.20 -5.400000e+00 -6.70 -8.40 -11.7 -4.60 -3.6 -4.3 [2,] -2.60 -7.4 -7.1 -8.60 -1.500000e+00 -6.70 -8.40 -9.4 -2.10 -2.2 -1.1 [3,] 0.55 -1.3 -3.6 -1.15 -2.842171e-14 -4.55 -1.45 -6.1 0.45 0.9 2.8 [4,] 1.00 7.5 -0.4 -0.60 1.500000e+00 -2.30 -0.20 1.0 2.40 4.7 4.4 [5,] 6.00 7.7 3.7 1.90 1.500000e+00 1.50 0.90 1.5 3.70 9.6 5.0 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [1,] -4.1 -7.00 -3.50 -7.7 -8.10 -0.1 -5.4 -7.3 -6.00 -14.50 -0.2 -11.9 [2,] -3.6 -2.20 -2.40 -1.9 -7.40 2.4 -0.7 -3.5 -3.40 -13.50 -0.2 -2.0 [3,] -0.4 -1.35 -0.45 1.6 1.95 9.3 0.4 -1.3 0.05 -3.65 1.0 0.8 [4,] 5.5 4.80 1.00 2.9 4.70 22.0 26.6 1.3 4.90 3.20 2.0 19.3 [5,] 8.8 7.60 1.00 4.8 6.30 22.0 26.6 1.3 8.90 4.30 3.4 27.3 [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [1,] -16.4 -12.6 -5.3 -5.3 -10.00 -8.2 -5.20 -11.0 -13.1 -15.40 -9.8 -3.30 [2,] -10.9 -7.4 -4.9 -1.7 -2.30 -3.2 -3.10 -10.5 -5.9 -13.80 -7.8 -3.30 [3,] 3.4 -5.7 -1.6 0.6 -0.15 0.9 -1.45 -4.5 -1.1 -7.95 -6.0 0.05 [4,] 5.6 0.4 -0.6 5.3 3.90 6.9 2.40 -1.2 0.5 -5.10 -3.1 1.20 [5,] 13.7 6.9 -0.6 8.9 8.70 7.7 2.40 -0.2 1.1 -1.10 -0.4 1.20 [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [1,] -15.6 -7.7 -7.7 -4.5 -3.20 -7.30 -13.50 -5.70 -3.5 -6.10 -7.50 -3.1 [2,] -5.8 -5.5 -6.8 -4.5 -3.20 -6.10 -8.10 -5.70 -1.7 -3.30 -4.80 -1.8 [3,] 0.3 -2.6 -2.3 -3.5 -0.95 -5.85 -3.35 -2.75 -0.3 -2.95 -2.55 -0.7 [4,] 2.6 12.7 -0.9 -2.6 1.10 -3.40 1.00 -2.10 1.1 2.00 2.40 2.3 [5,] 2.6 20.4 3.0 -2.6 5.90 -0.40 4.20 -0.90 1.4 3.60 9.00 4.3 $n [1] 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 [39] 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] -4.908336 -18.56932 -19.86580 -9.395678 -16.25674 -4.550723 -10.026284 [2,] 8.508336 14.06932 31.86580 17.695678 13.15674 4.350723 1.326284 [,8] [,9] [,10] [,11] [,12] [,13] [,14] [1,] -6.9766841 -7.215626 -16.401846 -5.427084 -9.877007 -6.036220 -1.772116 [2,] 0.3766841 -2.184374 -2.598154 -2.072916 10.377007 2.736220 2.872116 [,15] [,16] [,17] [,18] [,19] [,20] [,21] [1,] -10.910981 -7.9217164 -6.310258 -1.935097 -7.388142 -6.739265 -12.8083359 [2,] 8.310981 0.7217164 4.010258 1.935097 -1.711858 3.839265 0.6083359 [,22] [,23] [,24] [,25] [,26] [,27] [,28] [1,] -2.452645 -3.550723 -0.7476776 -6.269794 -5.865226 -2.643110 -1.496155 [2,] 3.352645 5.350723 6.3476776 5.469794 3.165226 1.743110 4.696155 [,29] [,30] [,31] [,32] [,33] [,34] [,35] [1,] -5.854891 -3.342633 -17.20938 -4.396155 -5.303768 -14.42204 -0.4190711 [2,] 9.754891 21.942633 18.00938 1.796155 5.403768 7.12204 2.4190711 [,36] [,37] [,38] [,39] [,40] [,41] [,42] [1,] -12.93919 -7.243033 -10.7312519 -4.373639 -3.915226 -4.1492 -5.614826 [2,] 14.53919 14.043033 -0.6687481 1.173639 5.115226 3.8492 7.414826 [,43] [,44] [,45] [,46] [,47] [,48] [,49] [1,] -4.997678 -10.498800 -5.228207 -13.561781 -9.031652 -2.852645 -5.118271 [2,] 2.097678 1.498800 3.028207 -2.338219 -2.968348 2.952645 5.718271 [,50] [,51] [,52] [,53] [,54] [,55] [,56] [1,] -14.339588 -6.105691 -4.725561 -3.723639 -7.591587 -9.219794 -5.0721163 [2,] 9.139588 1.505691 -2.274439 1.823639 -4.108413 2.519794 -0.4278837 [,57] [,58] [,59] [,60] [1,] -2.106090 -6.3686712 -7.194233 -3.597050 [2,] 1.506090 0.4686712 2.094233 2.197050 $out [1] 20.0 6.4 -22.5 -14.2 6.2 -14.9 7.6 74.3 113.9 10.8 -10.0 23.1 [13] 14.8 20.3 -17.5 83.9 -8.3 5.7 -19.1 -19.6 $group [1] 6 9 9 11 18 19 27 30 31 32 35 39 43 48 48 49 52 52 53 56 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" "13" "14" "15" [16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30" [31] "31" "32" "33" "34" "35" "36" "37" "38" "39" "40" "41" "42" "43" "44" "45" [46] "46" "47" "48" "49" "50" "51" "52" "53" "54" "55" "56" "57" "58" "59" "60" Warning message: In bxp(list(stats = c(-7.89999999999998, 1, 1.80000000000001, 11.4000000000000, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/6wxev1321347248.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > 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')) $stats [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] 240.80 248.00 262.50 235.20 291.30 275.00 NA [2,] 263.05 255.75 283.20 252.25 330.80 288.00 NA [3,] 304.25 262.50 291.05 298.55 345.60 294.20 NA [4,] 327.65 270.10 302.60 383.95 377.85 317.35 NA [5,] 393.50 276.20 324.40 448.20 442.80 348.20 NA $n [1] 60 60 60 60 60 60 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] 291.0731 259.5729 287.0928 271.6862 336.0029 288.2133 NA [2,] 317.4269 265.4271 295.0072 325.4138 355.1971 300.1867 NA $out [1] 360.1 380.5 373.7 369.8 366.6 359.3 345.8 326.2 324.5 328.1 327.5 462.8 [13] 466.9 461.7 $group [1] 2 2 2 2 2 2 2 2 2 2 2 5 5 5 $names [1] "1" "2" "3" "4" "5" "6" NA > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/78bcp1321347248.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > 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')) $stats [,1] [,2] [,3] [1,] 282.0000 269.850 271.6500 [2,] 295.4667 286.075 288.2063 [3,] 308.0000 300.425 303.9812 [4,] 324.0417 313.850 318.1125 [5,] 330.5833 331.300 326.9125 $n [1] 60 60 60 $conf [,1] [,2] [,3] [1,] 302.1714 294.7595 297.8811 [2,] 313.8286 306.0905 310.0814 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" > dev.off() null device 1 > > try(system("convert tmp/1s3vy1321347248.ps tmp/1s3vy1321347248.png",intern=TRUE)) character(0) > try(system("convert tmp/2kkt91321347248.ps tmp/2kkt91321347248.png",intern=TRUE)) character(0) > try(system("convert tmp/3iw6c1321347248.ps tmp/3iw6c1321347248.png",intern=TRUE)) character(0) > try(system("convert tmp/44vkn1321347248.ps tmp/44vkn1321347248.png",intern=TRUE)) character(0) > try(system("convert tmp/5av371321347248.ps tmp/5av371321347248.png",intern=TRUE)) character(0) > try(system("convert tmp/6wxev1321347248.ps tmp/6wxev1321347248.png",intern=TRUE)) character(0) > try(system("convert tmp/78bcp1321347248.ps tmp/78bcp1321347248.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.420 0.508 3.000