R version 2.12.0 (2010-10-15) 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 = '72' > #'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] 5 > 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] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 [39] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 > arr [,1] [,2] [,3] [,4] [,5] [,6] [1,] 255.0 255.5 296.4 439.8 322.4 NA [2,] 280.2 257.1 305.2 423.4 321.7 NA [3,] 299.9 257.3 303.9 410.8 320.5 NA [4,] 339.2 253.2 311.5 408.4 312.8 NA [5,] 374.2 252.8 316.3 406.7 309.7 NA [6,] 393.5 252.0 316.7 405.9 315.6 NA [7,] 389.2 250.7 322.5 402.7 309.7 NA [8,] 381.7 252.2 317.1 405.1 304.6 NA [9,] 375.2 250.0 309.8 399.6 302.5 NA [10,] 369.0 251.0 303.8 386.5 301.5 NA [11,] 357.4 253.4 290.3 381.4 298.8 NA [12,] 352.1 251.2 293.7 375.2 291.3 NA [13,] 346.5 255.6 291.7 357.7 293.6 NA [14,] 342.9 261.1 296.5 359.0 294.6 NA [15,] 340.3 258.9 289.1 355.0 285.9 NA [16,] 328.3 259.9 288.5 352.7 297.6 NA [17,] 322.9 261.2 293.8 344.4 301.1 NA [18,] 314.3 264.7 297.7 343.8 293.8 NA [19,] 308.9 267.1 305.4 338.0 297.7 NA [20,] 294.0 266.4 302.7 339.0 292.9 NA [21,] 285.6 267.7 302.5 333.3 292.1 NA [22,] 281.2 268.6 303.0 334.4 287.2 NA [23,] 280.3 267.5 294.5 328.3 288.2 NA [24,] 278.8 268.5 294.1 330.7 283.8 NA [25,] 274.5 268.5 294.5 330.0 299.9 NA [26,] 270.4 270.5 297.1 331.6 292.4 NA [27,] 263.4 270.9 289.4 351.2 293.3 NA [28,] 259.9 270.1 292.4 389.4 300.8 NA [29,] 258.0 269.3 287.9 410.9 293.7 NA [30,] 262.7 269.8 286.6 442.8 293.1 NA [31,] 284.7 270.1 280.5 462.8 294.4 NA [32,] 311.3 264.9 272.4 466.9 292.1 NA [33,] 322.1 263.7 269.2 461.7 291.9 NA [34,] 327.0 264.8 270.6 439.2 282.5 NA [35,] 331.3 263.7 267.3 430.3 277.9 NA [36,] 333.3 255.9 262.5 416.1 287.5 NA [37,] 321.4 276.2 266.8 402.5 289.2 NA [38,] 327.0 360.1 268.8 397.3 285.6 NA [39,] 320.0 380.5 263.1 403.3 293.2 NA [40,] 314.7 373.7 261.2 395.9 290.8 NA [41,] 316.7 369.8 266.0 387.8 283.1 NA [42,] 314.4 366.6 262.5 378.6 275.0 NA [43,] 321.3 359.3 265.2 377.1 287.8 NA [44,] 318.2 345.8 261.3 370.4 287.8 NA [45,] 307.2 326.2 253.7 362.0 287.4 NA [46,] 301.3 324.5 249.2 350.3 284.0 NA [47,] 287.5 328.1 239.1 348.2 277.8 NA [48,] 277.7 327.5 236.4 344.6 277.6 NA [49,] 274.4 324.4 235.2 343.5 304.9 NA [50,] 258.8 316.5 245.2 342.8 294.0 NA [51,] 253.3 310.9 246.2 347.6 300.9 NA [52,] 251.0 301.5 247.7 346.6 324.0 NA [53,] 248.4 291.7 251.4 349.5 332.9 NA [54,] 249.5 290.4 253.3 342.1 341.6 NA [55,] 246.1 287.4 254.8 342.0 333.4 NA [56,] 244.5 277.7 250.0 342.8 348.2 NA [57,] 243.6 281.6 249.3 339.3 344.7 NA [58,] 244.0 288.0 241.5 348.2 344.7 NA [59,] 240.8 276.0 243.3 333.7 329.3 NA [60,] 249.8 272.9 248.0 334.7 323.5 NA [61,] 248.0 283.0 253.0 354.0 323.2 NA [62,] 259.4 283.3 252.9 367.7 317.4 NA [63,] 260.5 276.8 251.5 363.3 330.1 NA [64,] 260.8 284.5 251.6 358.4 329.2 NA [65,] 261.3 282.7 253.5 353.1 334.9 NA [66,] 259.5 281.2 259.8 343.1 315.8 NA [67,] 256.6 287.4 334.1 344.6 315.4 NA [68,] 257.9 283.1 448.0 344.4 319.6 NA [69,] 256.5 284.0 445.8 333.9 317.3 NA [70,] 254.2 285.5 445.0 331.7 313.8 NA [71,] 253.3 289.2 448.2 324.3 315.8 NA [72,] 253.8 292.5 438.2 321.2 311.3 NA > darr [,1] [,2] [,3] [,4] [,5] [,6] [1,] 25.2 1.6 8.8 -16.4 -0.7 NA [2,] 19.7 0.2 -1.3 -12.6 -1.2 NA [3,] 39.3 -4.1 7.6 -2.4 -7.7 NA [4,] 35.0 -0.4 4.8 -1.7 -3.1 NA [5,] 19.3 -0.8 0.4 -0.8 5.9 NA [6,] -4.3 -1.3 5.8 -3.2 -5.9 NA [7,] -7.5 1.5 -5.4 2.4 -5.1 NA [8,] -6.5 -2.2 -7.3 -5.5 -2.1 NA [9,] -6.2 1.0 -6.0 -13.1 -1.0 NA [10,] -11.6 2.4 -13.5 -5.1 -2.7 NA [11,] -5.3 -2.2 3.4 -6.2 -7.5 NA [12,] -5.6 4.4 -2.0 -17.5 2.3 NA [13,] -3.6 5.5 4.8 1.3 1.0 NA [14,] -2.6 -2.2 -7.4 -4.0 -8.7 NA [15,] -12.0 1.0 -0.6 -2.3 11.7 NA [16,] -5.4 1.3 5.3 -8.3 3.5 NA [17,] -8.6 3.5 3.9 -0.6 -7.3 NA [18,] -5.4 2.4 7.7 -5.8 3.9 NA [19,] -14.9 -0.7 -2.7 1.0 -4.8 NA [20,] -8.4 1.3 -0.2 -5.7 -0.8 NA [21,] -4.4 0.9 0.5 1.1 -4.9 NA [22,] -0.9 -1.1 -8.5 -6.1 1.0 NA [23,] -1.5 1.0 -0.4 2.4 -4.4 NA [24,] -4.3 0.0 0.4 -0.7 16.1 NA [25,] -4.1 2.0 2.6 1.6 -7.5 NA [26,] -7.0 0.4 -7.7 19.6 0.9 NA [27,] -3.5 -0.8 3.0 38.2 7.5 NA [28,] -1.9 -0.8 -4.5 21.5 -7.1 NA [29,] 4.7 0.5 -1.3 31.9 -0.6 NA [30,] 22.0 0.3 -6.1 20.0 1.3 NA [31,] 26.6 -5.2 -8.1 4.1 -2.3 NA [32,] 10.8 -1.2 -3.2 -5.2 -0.2 NA [33,] 4.9 1.1 1.4 -22.5 -9.4 NA [34,] 4.3 -1.1 -3.3 -8.9 -4.6 NA [35,] 2.0 -7.8 -4.8 -14.2 9.6 NA [36,] -11.9 20.3 4.3 -13.6 1.7 NA [37,] 5.6 83.9 2.0 -5.2 -3.6 NA [38,] -7.0 20.4 -5.7 6.0 7.6 NA [39,] -5.3 -6.8 -1.9 -7.4 -2.4 NA [40,] 2.0 -3.9 4.8 -8.1 -7.7 NA [41,] -2.3 -3.2 -3.5 -9.2 -8.1 NA [42,] 6.9 -7.3 2.7 -1.5 12.8 NA [43,] -3.1 -13.5 -3.9 -6.7 0.0 NA [44,] -11.0 -19.6 -7.6 -8.4 -0.4 NA [45,] -5.9 -1.7 -4.5 -11.7 -3.4 NA [46,] -13.8 3.6 -10.1 -2.1 -6.2 NA [47,] -9.8 -0.6 -2.7 -3.6 -0.2 NA [48,] -3.3 -3.1 -1.2 -1.1 27.3 NA [49,] -15.6 -7.9 10.0 -0.7 -10.9 NA [50,] -5.5 -5.6 1.0 4.8 6.9 NA [51,] -2.3 -9.4 1.5 -1.0 23.1 NA [52,] -2.6 -9.8 3.7 2.9 8.9 NA [53,] 1.1 -1.3 1.9 -7.4 8.7 NA [54,] -3.4 -3.0 1.5 -0.1 -8.2 NA [55,] -1.6 -9.7 -4.8 0.8 14.8 NA [56,] -0.9 3.9 -0.7 -3.5 -3.5 NA [57,] 0.4 6.4 -7.8 8.9 0.0 NA [58,] -3.2 -12.0 1.8 -14.5 -15.4 NA [59,] 9.0 -3.1 4.7 1.0 -5.8 NA [60,] -1.8 10.1 5.0 19.3 -0.3 NA [61,] 11.4 0.3 -0.1 13.7 -5.8 NA [62,] 1.1 -6.5 -1.4 -4.4 12.7 NA [63,] 0.3 7.7 0.1 -4.9 -0.9 NA [64,] 0.5 -1.8 1.9 -5.3 5.7 NA [65,] -1.8 -1.5 6.3 -10.0 -19.1 NA [66,] -2.9 6.2 74.3 1.5 -0.4 NA [67,] 1.3 -4.3 113.9 -0.2 4.2 NA [68,] -1.4 0.9 -2.2 -10.5 -2.3 NA [69,] -2.3 1.5 -0.8 -2.2 -3.5 NA [70,] -0.9 3.7 3.2 -7.4 2.0 NA [71,] 0.5 3.3 -10.0 -3.1 -4.5 NA [72,] 1.7 3.9 1.6 1.2 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/1v3mg1321295271.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/2s3lx1321295271.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/3co961321295271.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/4e5ap1321295271.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] [,12] [1,] 255.0 257.1 299.9 311.5 252.8 252.0 250.7 252.2 250.0 251.0 253.4 251.2 [2,] 255.5 280.2 299.9 311.5 309.7 315.6 309.7 304.6 302.5 301.5 290.3 291.3 [3,] 296.4 305.2 303.9 312.8 316.3 316.7 322.5 317.1 309.8 303.8 298.8 293.7 [4,] 322.4 321.7 320.5 339.2 374.2 393.5 389.2 381.7 375.2 369.0 357.4 352.1 [5,] 322.4 321.7 320.5 339.2 406.7 405.9 402.7 405.1 399.6 386.5 381.4 375.2 [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 255.6 261.1 258.9 259.9 261.2 264.7 297.7 292.9 267.7 268.6 267.5 268.5 [2,] 291.7 294.6 285.9 288.5 293.8 293.8 297.7 292.9 285.6 281.2 280.3 278.8 [3,] 293.6 296.5 289.1 297.6 301.1 297.7 305.4 294.0 292.1 287.2 288.2 283.8 [4,] 346.5 342.9 340.3 328.3 322.9 314.3 308.9 302.7 302.5 303.0 294.5 294.1 [5,] 357.7 359.0 355.0 352.7 344.4 343.8 308.9 302.7 302.5 334.4 294.5 294.1 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [1,] 268.5 270.4 263.4 259.9 258.0 262.7 270.1 264.9 263.7 264.8 263.7 255.9 [2,] 274.5 270.5 270.9 270.1 269.3 269.8 280.5 272.4 269.2 270.6 267.3 262.5 [3,] 294.5 292.4 289.4 292.4 287.9 286.6 284.7 292.1 291.9 282.5 277.9 287.5 [4,] 299.9 297.1 293.3 300.8 293.7 293.1 294.4 311.3 322.1 327.0 331.3 333.3 [5,] 330.0 331.6 293.3 300.8 293.7 293.1 294.4 311.3 322.1 327.0 331.3 416.1 [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [1,] 266.8 268.8 263.1 261.2 266.0 262.5 265.2 261.3 253.7 249.2 239.1 236.4 [2,] 276.2 285.6 293.2 290.8 283.1 275.0 287.8 287.8 287.4 284.0 277.8 277.6 [3,] 289.2 327.0 320.0 314.7 316.7 314.4 321.3 318.2 307.2 301.3 287.5 277.7 [4,] 321.4 360.1 380.5 373.7 369.8 366.6 359.3 345.8 326.2 324.5 328.1 327.5 [5,] 321.4 397.3 403.3 395.9 387.8 378.6 377.1 370.4 362.0 350.3 348.2 344.6 [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [1,] 235.2 245.2 246.2 247.7 248.4 249.5 246.1 244.5 243.6 241.5 240.8 248.0 [2,] 274.4 258.8 253.3 251.0 251.4 253.3 254.8 250.0 249.3 244.0 243.3 249.8 [3,] 304.9 294.0 300.9 301.5 291.7 290.4 287.4 277.7 281.6 288.0 276.0 272.9 [4,] 324.4 316.5 310.9 324.0 332.9 341.6 333.4 342.8 339.3 344.7 329.3 323.5 [5,] 343.5 342.8 347.6 346.6 349.5 342.1 342.0 348.2 344.7 348.2 333.7 334.7 [,61] [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 248.0 252.9 251.5 251.6 253.5 259.5 256.6 257.9 256.5 254.2 253.3 253.8 [2,] 253.0 259.4 260.5 260.8 261.3 259.8 287.4 283.1 284.0 285.5 289.2 292.5 [3,] 283.0 283.3 276.8 284.5 282.7 281.2 315.4 319.6 317.3 313.8 315.8 311.3 [4,] 323.2 317.4 330.1 329.2 334.9 315.8 334.1 344.4 333.9 331.7 324.3 321.2 [5,] 354.0 367.7 363.3 358.4 353.1 343.1 344.6 344.4 333.9 331.7 324.3 321.2 $n [1] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 [39] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 249.1286 275.8762 289.3441 293.2272 270.7245 261.6561 266.3255 262.6213 [2,] 343.6714 334.5238 318.4559 332.3728 361.8755 371.7439 378.6745 371.5787 [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [1,] 258.4304 256.1047 251.3873 250.7389 254.8785 262.3713 250.6611 269.4774 [2,] 361.1696 351.4953 346.2127 336.6611 332.3215 330.6287 327.5389 325.7226 [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 280.538 283.2148 297.4861 287.0753 280.1585 271.7962 278.1663 272.9891 [2,] 321.662 312.1852 313.3139 300.9247 304.0415 302.6038 298.2337 294.6109 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [1,] 276.5524 273.6045 273.5722 270.7075 270.659 270.1363 274.8783 264.6134 [2,] 312.4476 311.1955 305.2278 314.0925 305.141 303.0637 294.5217 319.5866 [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [1,] 254.521 242.6479 232.6778 237.4729 257.2618 274.3585 258.3140 256.1231 [2,] 329.279 322.3521 323.1222 337.5271 321.1382 379.6415 381.6860 373.2769 [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [1,] 255.438 249.6757 270.7783 277.2173 279.784 272.6828 251.9581 242.4408 [2,] 377.962 379.1243 371.8217 359.1827 334.616 329.9172 323.0419 312.9592 [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [1,] 269.5701 253.2293 260.2 249.9184 234.1123 228.0074 231.8614 212.1278 [2,] 340.2299 334.7707 341.6 353.0816 349.2877 352.7926 342.9386 343.2722 [,57] [,58] [,59] [,60] [,61] [,62] [,63] [,64] [1,] 218.0062 216.8456 215.2326 220.8238 233.3969 242.3173 227.6208 236.1687 [2,] 345.1938 359.1544 336.7674 324.9762 332.6031 324.2827 325.9792 332.8313 [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 230.6944 241.6305 282.4019 276.2856 282.0408 281.1552 290.9984 291.0207 [2,] 334.7056 320.7695 348.3981 362.9144 352.5592 346.4448 340.6016 331.5793 $out [1] 439.8 423.4 257.3 410.8 253.2 408.4 267.1 338.0 266.4 339.0 333.3 328.3 [13] 330.7 351.2 389.4 410.9 442.8 462.8 466.9 461.7 439.2 430.3 402.5 448.0 [25] 445.8 445.0 448.2 438.2 $group [1] 1 2 3 3 4 4 19 19 20 20 21 23 24 27 28 29 30 31 32 33 34 35 37 68 69 [26] 70 71 72 $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" [61] "61" "62" "63" "64" "65" "66" "67" "68" "69" "70" "71" "72" Warning message: In bxp(list(stats = c(255, 255.5, 296.4, 322.4, 322.4, 257.1, 280.2, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/54qcg1321295271.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,] -0.7 -1.3 -7.7 -3.1 -0.8 -5.9 -7.5 -7.3 -13.1 -13.5 -7.5 -5.6 -3.6 [2,] -0.7 -1.3 -4.1 -1.7 -0.8 -4.3 -5.4 -6.5 -6.2 -11.6 -6.2 -5.6 1.0 [3,] 1.6 -1.2 -2.4 -0.4 0.4 -3.2 -5.1 -5.5 -6.0 -5.1 -5.3 -2.0 1.3 [4,] 8.8 0.2 7.6 4.8 5.9 -1.3 1.5 -2.2 -1.0 -2.7 -2.2 2.3 4.8 [5,] 8.8 0.2 7.6 4.8 5.9 -1.3 2.4 -2.1 1.0 2.4 3.4 4.4 5.5 [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [1,] -8.7 -2.3 -8.3 -8.6 -5.8 -4.8 -8.4 -4.9 -8.5 -4.4 -0.7 -7.5 [2,] -7.4 -2.3 -5.4 -7.3 -5.4 -4.8 -5.7 -4.4 -6.1 -1.5 -0.7 -4.1 [3,] -4.0 -0.6 1.3 -0.6 2.4 -2.7 -0.8 0.5 -1.1 -0.4 0.0 1.6 [4,] -2.6 1.0 3.5 3.5 3.9 -0.7 -0.2 0.9 -0.9 1.0 0.4 2.0 [5,] -2.2 1.0 5.3 3.9 7.7 1.0 1.3 1.1 1.0 2.4 0.4 2.6 [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [1,] -7.7 -3.5 -7.1 -1.3 -6.1 -8.1 -5.2 -22.5 -8.9 -14.2 -13.6 -5.2 [2,] -7.0 -0.8 -4.5 -0.6 0.3 -5.2 -3.2 -9.4 -4.6 -7.8 -11.9 -3.6 [3,] 0.4 3.0 -1.9 0.5 1.3 -2.3 -1.2 1.1 -3.3 -4.8 1.7 2.0 [4,] 0.9 7.5 -0.8 4.7 20.0 4.1 -0.2 1.4 -1.1 2.0 4.3 5.6 [5,] 0.9 7.5 -0.8 4.7 22.0 4.1 -0.2 4.9 -1.1 9.6 20.3 5.6 [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [1,] -7.0 -7.4 -8.1 -9.2 -7.3 -6.7 -11.0 -5.9 -13.8 -3.6 -3.3 -15.6 [2,] -5.7 -6.8 -7.7 -8.1 -1.5 -6.7 -11.0 -5.9 -10.1 -3.6 -3.1 -10.9 [3,] 6.0 -5.3 -3.9 -3.5 2.7 -3.9 -8.4 -4.5 -6.2 -2.7 -1.2 -7.9 [4,] 7.6 -2.4 2.0 -3.2 6.9 -3.1 -7.6 -3.4 -2.1 -0.6 -1.1 -0.7 [5,] 20.4 -1.9 4.8 -2.3 12.8 0.0 -7.6 -1.7 3.6 -0.2 -1.1 10.0 [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [1,] -5.6 -2.3 -9.8 -1.3 -8.2 -9.7 -3.5 -7.8 -15.4 -5.8 -1.8 -5.8 [2,] -5.5 -2.3 -2.6 -1.3 -3.4 -4.8 -3.5 0.0 -14.5 -3.1 -0.3 -0.1 [3,] 1.0 -1.0 2.9 1.1 -3.0 -1.6 -0.9 0.4 -12.0 1.0 5.0 0.3 [4,] 4.8 1.5 3.7 1.9 -0.1 0.8 -0.7 6.4 -3.2 4.7 10.1 11.4 [5,] 6.9 1.5 8.9 1.9 1.5 0.8 -0.7 8.9 1.8 9.0 19.3 13.7 [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] -6.5 -0.9 -5.3 -19.1 -2.9 -4.3 -2.3 -3.5 -0.9 -10.0 1.20 [2,] -4.4 -0.9 -1.8 -10.0 -0.4 -0.2 -2.3 -2.3 -0.9 -4.5 1.40 [3,] -1.4 0.1 0.5 -1.8 1.5 1.3 -2.2 -2.2 2.0 -3.1 1.65 [4,] 1.1 0.3 1.9 -1.5 6.2 4.2 -1.4 -0.8 3.2 0.5 2.80 [5,] 1.1 0.3 5.7 6.3 6.2 4.2 -1.4 -0.8 3.7 3.3 3.90 $n [1] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 [39] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 4 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] -5.112676 -2.2598962 -10.66719 -4.992884 -4.334203 -5.319792 -9.9755226 [2,] 8.312676 -0.1401038 5.86719 4.192884 5.134203 -1.080208 -0.2244774 [,8] [,9] [,10] [,11] [,12] [,13] [,14] [1,] -8.538369 -9.674307 -11.388718 -8.12639 -7.58212 -1.385070 -7.3916679 [2,] -2.461631 -2.325693 1.188718 -2.47361 3.58212 3.985070 -0.6083321 [,15] [,16] [,17] [,18] [,19] [,20] [,21] [1,] -2.931772 -4.988718 -8.231253 -4.171357 -5.5970497 -4.686286 -3.244967 [2,] 1.731772 7.588718 7.031253 8.971357 0.1970497 3.086286 4.244967 [,22] [,23] [,24] [,25] [,26] [,27] [,28] [1,] -4.774307 -2.166494 -0.7772572 -2.710245 -5.18212 -2.864759 -4.5144107 [2,] 2.574307 1.366494 0.7772572 5.910245 5.98212 8.864759 0.7144107 [,29] [,30] [,31] [,32] [,33] [,34] [,35] [1,] -3.244967 -12.61997 -8.871357 -3.3197924 -6.531253 -5.7730912 -11.724655 [2,] 4.244967 15.21997 4.271357 0.9197924 8.731253 -0.8269088 2.124655 [,36] [,37] [,38] [,39] [,40] [,41] [,42] [1,] -9.74688 -4.500697 -3.397746 -8.409029 -10.753996 -6.96232766 -3.235419 [2,] 13.14688 8.500697 15.397746 -2.190971 2.953996 -0.03767234 8.635419 [,43] [,44] [,45] [,46] [,47] [,48] [1,] -6.443751 -10.802431 -6.266494 -11.8527798 -4.8197924 -2.6131950 [2,] -1.356249 -5.997569 -2.733506 -0.5472202 -0.5802076 0.2131950 [,49] [,50] [,51] [,52] [,53] [,54] [,55] [1,] -15.1072943 -6.277954 -3.685070 -1.551564 -1.161112 -5.3317717 -5.556946 [2,] -0.6927057 8.277954 1.685070 7.351564 3.361112 -0.6682283 2.356946 [,56] [,57] [,58] [,59] [,60] [,61] [,62] [1,] -2.878473 -4.122224 -19.984552 -4.51146 -2.348614 -7.825871 -5.286286 [2,] 1.078473 4.922224 -4.015448 6.51146 12.348614 8.425871 2.486286 [,63] [,64] [,65] [,66] [,67] [,68] [,69] [1,] -0.747917 -2.114411 -7.806079 -3.163543 -1.809029 -2.835938 -3.259896 [2,] 0.947917 3.114411 4.206079 6.163543 4.409029 -1.564062 -1.140104 [,70] [,71] [,72] [1,] -0.8970497 -6.6329874 0.544 [2,] 4.8970497 0.4329874 2.756 $out [1] 25.2 -16.4 19.7 -12.6 39.3 35.0 19.3 5.8 -17.5 -12.0 11.7 -14.9 [13] -4.3 16.1 19.6 38.2 21.5 31.9 26.6 10.8 4.3 83.9 -13.5 -19.6 [25] -0.4 -11.7 -9.8 27.3 -9.4 23.1 -7.4 8.7 14.8 3.9 12.7 7.7 [37] -4.9 74.3 113.9 0.9 -10.5 1.5 -7.4 $group [1] 1 1 2 2 3 4 5 6 12 15 15 19 24 24 26 27 28 29 31 32 34 37 43 44 44 [26] 45 47 48 51 51 53 53 55 56 62 63 63 66 67 68 68 69 70 $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" [61] "61" "62" "63" "64" "65" "66" "67" "68" "69" "70" "71" "72" Warning message: In bxp(list(stats = c(-0.699999999999989, -0.699999999999989, 1.60000000000002, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/6ox551321295271.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] [1,] 240.80 250.00 235.20 321.20 275.00 NA [2,] 257.95 262.45 253.40 342.80 291.05 NA [3,] 282.95 271.90 283.55 354.50 299.35 NA [4,] 322.50 289.80 302.60 401.05 317.35 NA [5,] 393.50 328.10 334.10 466.90 348.20 NA $n [1] 72 72 72 72 72 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [1,] 270.9305 266.8073 274.3887 343.6536 294.4528 NA [2,] 294.9695 276.9927 292.7113 365.3464 304.2472 NA $out [1] 360.1 380.5 373.7 369.8 366.6 359.3 345.8 448.0 445.8 445.0 448.2 438.2 $group [1] 2 2 2 2 2 2 2 3 3 3 3 3 $names [1] "1" "2" "3" "4" "5" NA > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/7s7ts1321295271.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,] 284.62 272.90 281.450 [2,] 294.83 287.45 290.400 [3,] 306.57 294.00 299.350 [4,] 321.62 310.55 315.275 [5,] 336.74 327.00 349.450 $n [1] 72 72 72 $conf [,1] [,2] [,3] [1,] 301.5816 289.6987 294.7182 [2,] 311.5584 298.3013 303.9818 $out [1] 354.55 $group [1] 3 $names [1] "mean" "median" "midrange" > dev.off() null device 1 > > try(system("convert tmp/1v3mg1321295271.ps tmp/1v3mg1321295271.png",intern=TRUE)) character(0) > try(system("convert tmp/2s3lx1321295271.ps tmp/2s3lx1321295271.png",intern=TRUE)) character(0) > try(system("convert tmp/3co961321295271.ps tmp/3co961321295271.png",intern=TRUE)) character(0) > try(system("convert tmp/4e5ap1321295271.ps tmp/4e5ap1321295271.png",intern=TRUE)) character(0) > try(system("convert tmp/54qcg1321295271.ps tmp/54qcg1321295271.png",intern=TRUE)) character(0) > try(system("convert tmp/6ox551321295271.ps tmp/6ox551321295271.png",intern=TRUE)) character(0) > try(system("convert tmp/7s7ts1321295271.ps tmp/7s7ts1321295271.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.720 0.110 1.983