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 = '120' > #'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] 3 > 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] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [38] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [75] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [112] 3 3 3 3 3 3 3 3 3 > arr [,1] [,2] [,3] [,4] [1,] 255.0 324.4 330.0 NA [2,] 280.2 316.5 331.6 NA [3,] 299.9 310.9 351.2 NA [4,] 339.2 301.5 389.4 NA [5,] 374.2 291.7 410.9 NA [6,] 393.5 290.4 442.8 NA [7,] 389.2 287.4 462.8 NA [8,] 381.7 277.7 466.9 NA [9,] 375.2 281.6 461.7 NA [10,] 369.0 288.0 439.2 NA [11,] 357.4 276.0 430.3 NA [12,] 352.1 272.9 416.1 NA [13,] 346.5 283.0 402.5 NA [14,] 342.9 283.3 397.3 NA [15,] 340.3 276.8 403.3 NA [16,] 328.3 284.5 395.9 NA [17,] 322.9 282.7 387.8 NA [18,] 314.3 281.2 378.6 NA [19,] 308.9 287.4 377.1 NA [20,] 294.0 283.1 370.4 NA [21,] 285.6 284.0 362.0 NA [22,] 281.2 285.5 350.3 NA [23,] 280.3 289.2 348.2 NA [24,] 278.8 292.5 344.6 NA [25,] 274.5 296.4 343.5 NA [26,] 270.4 305.2 342.8 NA [27,] 263.4 303.9 347.6 NA [28,] 259.9 311.5 346.6 NA [29,] 258.0 316.3 349.5 NA [30,] 262.7 316.7 342.1 NA [31,] 284.7 322.5 342.0 NA [32,] 311.3 317.1 342.8 NA [33,] 322.1 309.8 339.3 NA [34,] 327.0 303.8 348.2 NA [35,] 331.3 290.3 333.7 NA [36,] 333.3 293.7 334.7 NA [37,] 321.4 291.7 354.0 NA [38,] 327.0 296.5 367.7 NA [39,] 320.0 289.1 363.3 NA [40,] 314.7 288.5 358.4 NA [41,] 316.7 293.8 353.1 NA [42,] 314.4 297.7 343.1 NA [43,] 321.3 305.4 344.6 NA [44,] 318.2 302.7 344.4 NA [45,] 307.2 302.5 333.9 NA [46,] 301.3 303.0 331.7 NA [47,] 287.5 294.5 324.3 NA [48,] 277.7 294.1 321.2 NA [49,] 274.4 294.5 322.4 NA [50,] 258.8 297.1 321.7 NA [51,] 253.3 289.4 320.5 NA [52,] 251.0 292.4 312.8 NA [53,] 248.4 287.9 309.7 NA [54,] 249.5 286.6 315.6 NA [55,] 246.1 280.5 309.7 NA [56,] 244.5 272.4 304.6 NA [57,] 243.6 269.2 302.5 NA [58,] 244.0 270.6 301.5 NA [59,] 240.8 267.3 298.8 NA [60,] 249.8 262.5 291.3 NA [61,] 248.0 266.8 293.6 NA [62,] 259.4 268.8 294.6 NA [63,] 260.5 263.1 285.9 NA [64,] 260.8 261.2 297.6 NA [65,] 261.3 266.0 301.1 NA [66,] 259.5 262.5 293.8 NA [67,] 256.6 265.2 297.7 NA [68,] 257.9 261.3 292.9 NA [69,] 256.5 253.7 292.1 NA [70,] 254.2 249.2 287.2 NA [71,] 253.3 239.1 288.2 NA [72,] 253.8 236.4 283.8 NA [73,] 255.5 235.2 299.9 NA [74,] 257.1 245.2 292.4 NA [75,] 257.3 246.2 293.3 NA [76,] 253.2 247.7 300.8 NA [77,] 252.8 251.4 293.7 NA [78,] 252.0 253.3 293.1 NA [79,] 250.7 254.8 294.4 NA [80,] 252.2 250.0 292.1 NA [81,] 250.0 249.3 291.9 NA [82,] 251.0 241.5 282.5 NA [83,] 253.4 243.3 277.9 NA [84,] 251.2 248.0 287.5 NA [85,] 255.6 253.0 289.2 NA [86,] 261.1 252.9 285.6 NA [87,] 258.9 251.5 293.2 NA [88,] 259.9 251.6 290.8 NA [89,] 261.2 253.5 283.1 NA [90,] 264.7 259.8 275.0 NA [91,] 267.1 334.1 287.8 NA [92,] 266.4 448.0 287.8 NA [93,] 267.7 445.8 287.4 NA [94,] 268.6 445.0 284.0 NA [95,] 267.5 448.2 277.8 NA [96,] 268.5 438.2 277.6 NA [97,] 268.5 439.8 304.9 NA [98,] 270.5 423.4 294.0 NA [99,] 270.9 410.8 300.9 NA [100,] 270.1 408.4 324.0 NA [101,] 269.3 406.7 332.9 NA [102,] 269.8 405.9 341.6 NA [103,] 270.1 402.7 333.4 NA [104,] 264.9 405.1 348.2 NA [105,] 263.7 399.6 344.7 NA [106,] 264.8 386.5 344.7 NA [107,] 263.7 381.4 329.3 NA [108,] 255.9 375.2 323.5 NA [109,] 276.2 357.7 323.2 NA [110,] 360.1 359.0 317.4 NA [111,] 380.5 355.0 330.1 NA [112,] 373.7 352.7 329.2 NA [113,] 369.8 344.4 334.9 NA [114,] 366.6 343.8 315.8 NA [115,] 359.3 338.0 315.4 NA [116,] 345.8 339.0 319.6 NA [117,] 326.2 333.3 317.3 NA [118,] 324.5 334.4 313.8 NA [119,] 328.1 328.3 315.8 NA [120,] 327.5 330.7 311.3 NA > darr [,1] [,2] [,3] [,4] [1,] 25.2 -7.9 1.6 NA [2,] 19.7 -5.6 19.6 NA [3,] 39.3 -9.4 38.2 NA [4,] 35.0 -9.8 21.5 NA [5,] 19.3 -1.3 31.9 NA [6,] -4.3 -3.0 20.0 NA [7,] -7.5 -9.7 4.1 NA [8,] -6.5 3.9 -5.2 NA [9,] -6.2 6.4 -22.5 NA [10,] -11.6 -12.0 -8.9 NA [11,] -5.3 -3.1 -14.2 NA [12,] -5.6 10.1 -13.6 NA [13,] -3.6 0.3 -5.2 NA [14,] -2.6 -6.5 6.0 NA [15,] -12.0 7.7 -7.4 NA [16,] -5.4 -1.8 -8.1 NA [17,] -8.6 -1.5 -9.2 NA [18,] -5.4 6.2 -1.5 NA [19,] -14.9 -4.3 -6.7 NA [20,] -8.4 0.9 -8.4 NA [21,] -4.4 1.5 -11.7 NA [22,] -0.9 3.7 -2.1 NA [23,] -1.5 3.3 -3.6 NA [24,] -4.3 3.9 -1.1 NA [25,] -4.1 8.8 -0.7 NA [26,] -7.0 -1.3 4.8 NA [27,] -3.5 7.6 -1.0 NA [28,] -1.9 4.8 2.9 NA [29,] 4.7 0.4 -7.4 NA [30,] 22.0 5.8 -0.1 NA [31,] 26.6 -5.4 0.8 NA [32,] 10.8 -7.3 -3.5 NA [33,] 4.9 -6.0 8.9 NA [34,] 4.3 -13.5 -14.5 NA [35,] 2.0 3.4 1.0 NA [36,] -11.9 -2.0 19.3 NA [37,] 5.6 4.8 13.7 NA [38,] -7.0 -7.4 -4.4 NA [39,] -5.3 -0.6 -4.9 NA [40,] 2.0 5.3 -5.3 NA [41,] -2.3 3.9 -10.0 NA [42,] 6.9 7.7 1.5 NA [43,] -3.1 -2.7 -0.2 NA [44,] -11.0 -0.2 -10.5 NA [45,] -5.9 0.5 -2.2 NA [46,] -13.8 -8.5 -7.4 NA [47,] -9.8 -0.4 -3.1 NA [48,] -3.3 0.4 1.2 NA [49,] -15.6 2.6 -0.7 NA [50,] -5.5 -7.7 -1.2 NA [51,] -2.3 3.0 -7.7 NA [52,] -2.6 -4.5 -3.1 NA [53,] 1.1 -1.3 5.9 NA [54,] -3.4 -6.1 -5.9 NA [55,] -1.6 -8.1 -5.1 NA [56,] -0.9 -3.2 -2.1 NA [57,] 0.4 1.4 -1.0 NA [58,] -3.2 -3.3 -2.7 NA [59,] 9.0 -4.8 -7.5 NA [60,] -1.8 4.3 2.3 NA [61,] 11.4 2.0 1.0 NA [62,] 1.1 -5.7 -8.7 NA [63,] 0.3 -1.9 11.7 NA [64,] 0.5 4.8 3.5 NA [65,] -1.8 -3.5 -7.3 NA [66,] -2.9 2.7 3.9 NA [67,] 1.3 -3.9 -4.8 NA [68,] -1.4 -7.6 -0.8 NA [69,] -2.3 -4.5 -4.9 NA [70,] -0.9 -10.1 1.0 NA [71,] 0.5 -2.7 -4.4 NA [72,] 1.7 -1.2 16.1 NA [73,] 1.6 10.0 -7.5 NA [74,] 0.2 1.0 0.9 NA [75,] -4.1 1.5 7.5 NA [76,] -0.4 3.7 -7.1 NA [77,] -0.8 1.9 -0.6 NA [78,] -1.3 1.5 1.3 NA [79,] 1.5 -4.8 -2.3 NA [80,] -2.2 -0.7 -0.2 NA [81,] 1.0 -7.8 -9.4 NA [82,] 2.4 1.8 -4.6 NA [83,] -2.2 4.7 9.6 NA [84,] 4.4 5.0 1.7 NA [85,] 5.5 -0.1 -3.6 NA [86,] -2.2 -1.4 7.6 NA [87,] 1.0 0.1 -2.4 NA [88,] 1.3 1.9 -7.7 NA [89,] 3.5 6.3 -8.1 NA [90,] 2.4 74.3 12.8 NA [91,] -0.7 113.9 0.0 NA [92,] 1.3 -2.2 -0.4 NA [93,] 0.9 -0.8 -3.4 NA [94,] -1.1 3.2 -6.2 NA [95,] 1.0 -10.0 -0.2 NA [96,] 0.0 1.6 27.3 NA [97,] 2.0 -16.4 -10.9 NA [98,] 0.4 -12.6 6.9 NA [99,] -0.8 -2.4 23.1 NA [100,] -0.8 -1.7 8.9 NA [101,] 0.5 -0.8 8.7 NA [102,] 0.3 -3.2 -8.2 NA [103,] -5.2 2.4 14.8 NA [104,] -1.2 -5.5 -3.5 NA [105,] 1.1 -13.1 0.0 NA [106,] -1.1 -5.1 -15.4 NA [107,] -7.8 -6.2 -5.8 NA [108,] 20.3 -17.5 -0.3 NA [109,] 83.9 1.3 -5.8 NA [110,] 20.4 -4.0 12.7 NA [111,] -6.8 -2.3 -0.9 NA [112,] -3.9 -8.3 5.7 NA [113,] -3.2 -0.6 -19.1 NA [114,] -7.3 -5.8 -0.4 NA [115,] -13.5 1.0 4.2 NA [116,] -19.6 -5.7 -2.3 NA [117,] -1.7 1.1 -3.5 NA [118,] 3.6 -6.1 2.0 NA [119,] -0.6 2.4 -4.5 NA [120,] -3.1 -0.7 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/1owvm1321404422.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/2mecm1321404422.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/3yg7y1321404422.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/4uobj1321404422.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,] 255.0 280.20 299.90 301.50 291.70 290.40 287.4 277.7 281.60 288.0 276.00 [2,] 289.7 298.35 305.40 320.35 332.95 341.95 338.3 329.7 328.40 328.5 316.70 [3,] 324.4 316.50 310.90 339.20 374.20 393.50 389.2 381.7 375.20 369.0 357.40 [4,] 327.2 324.05 331.05 364.30 392.55 418.15 426.0 424.3 418.45 404.1 393.85 [5,] 330.0 331.60 351.20 389.40 410.90 442.80 462.8 466.9 461.70 439.2 430.30 [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [1,] 272.9 283.00 283.3 276.80 284.5 282.70 281.20 287.40 283.10 284.0 281.20 [2,] 312.5 314.75 313.1 308.55 306.4 302.80 297.75 298.15 288.55 284.8 283.35 [3,] 352.1 346.50 342.9 340.30 328.3 322.90 314.30 308.90 294.00 285.6 285.50 [4,] 384.1 374.50 370.1 371.80 362.1 355.35 346.45 343.00 332.20 323.8 317.90 [5,] 416.1 402.50 397.3 403.30 395.9 387.80 378.60 377.10 370.40 362.0 350.30 [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [1,] 280.30 278.80 274.50 270.4 263.40 259.90 258.00 262.7 284.70 311.30 309.80 [2,] 284.75 285.65 285.45 287.8 283.65 285.70 287.15 289.7 303.60 314.20 315.95 [3,] 289.20 292.50 296.40 305.2 303.90 311.50 316.30 316.7 322.50 317.10 322.10 [4,] 318.70 318.55 319.95 324.0 325.75 329.05 332.90 329.4 332.25 329.95 330.70 [5,] 348.20 344.60 343.50 342.8 347.60 346.60 349.50 342.1 342.00 342.80 339.30 [,34] [,35] [,36] [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [1,] 303.8 290.3 293.7 291.70 296.50 289.10 288.50 293.80 297.70 305.40 302.70 [2,] 315.4 310.8 313.5 306.55 311.75 304.55 301.60 305.25 306.05 313.35 310.45 [3,] 327.0 331.3 333.3 321.40 327.00 320.00 314.70 316.70 314.40 321.30 318.20 [4,] 337.6 332.5 334.0 337.70 347.35 341.65 336.55 334.90 328.75 332.95 331.30 [5,] 348.2 333.7 334.7 354.00 367.70 363.30 358.40 353.10 343.10 344.60 344.40 [,45] [,46] [,47] [,48] [,49] [,50] [,51] [,52] [,53] [,54] [,55] [1,] 302.50 301.30 287.5 277.70 274.40 258.80 253.30 251.0 248.40 249.50 246.1 [2,] 304.85 302.15 291.0 285.90 284.45 277.95 271.35 271.7 268.15 268.05 263.3 [3,] 307.20 303.00 294.5 294.10 294.50 297.10 289.40 292.4 287.90 286.60 280.5 [4,] 320.55 317.35 309.4 307.65 308.45 309.40 304.95 302.6 298.80 301.10 295.1 [5,] 333.90 331.70 324.3 321.20 322.40 321.70 320.50 312.8 309.70 315.60 309.7 [,56] [,57] [,58] [,59] [,60] [,61] [,62] [,63] [,64] [,65] [,66] [1,] 244.50 243.60 244.00 240.80 249.80 248.0 259.4 260.5 260.8 261.30 259.50 [2,] 258.45 256.40 257.30 254.05 256.15 257.4 264.1 261.8 261.0 263.65 261.00 [3,] 272.40 269.20 270.60 267.30 262.50 266.8 268.8 263.1 261.2 266.00 262.50 [4,] 288.50 285.85 286.05 283.05 276.90 280.2 281.7 274.5 279.4 283.55 278.15 [5,] 304.60 302.50 301.50 298.80 291.30 293.6 294.6 285.9 297.6 301.10 293.80 [,67] [,68] [,69] [,70] [,71] [,72] [,73] [,74] [,75] [,76] [,77] [1,] 256.60 257.9 253.7 249.2 239.10 236.4 235.20 245.20 246.20 247.70 251.40 [2,] 260.90 259.6 255.1 251.7 246.20 245.1 245.35 251.15 251.75 250.45 252.10 [3,] 265.20 261.3 256.5 254.2 253.30 253.8 255.50 257.10 257.30 253.20 252.80 [4,] 281.45 277.1 274.3 270.7 270.75 268.8 277.70 274.75 275.30 277.00 273.25 [5,] 297.70 292.9 292.1 287.2 288.20 283.8 299.90 292.40 293.30 300.80 293.70 [,78] [,79] [,80] [,81] [,82] [,83] [,84] [,85] [,86] [,87] [1,] 252.00 250.70 250.00 249.30 241.50 243.30 248.00 253.0 252.90 251.50 [2,] 252.65 252.75 251.10 249.65 246.25 248.35 249.60 254.3 257.00 255.20 [3,] 253.30 254.80 252.20 250.00 251.00 253.40 251.20 255.6 261.10 258.90 [4,] 273.20 274.60 272.15 270.95 266.75 265.65 269.35 272.4 273.35 276.05 [5,] 293.10 294.40 292.10 291.90 282.50 277.90 287.50 289.2 285.60 293.20 [,88] [,89] [,90] [,91] [,92] [,93] [,94] [,95] [,96] [,97] [,98] [1,] 251.60 253.50 259.80 267.10 266.4 267.70 268.6 267.50 268.50 268.50 270.50 [2,] 255.75 257.35 262.25 277.45 277.1 277.55 276.3 272.65 273.05 286.70 282.25 [3,] 259.90 261.20 264.70 287.80 287.8 287.40 284.0 277.80 277.60 304.90 294.00 [4,] 275.35 272.15 269.85 310.95 367.9 366.60 364.5 363.00 357.90 372.35 358.70 [5,] 290.80 283.10 275.00 334.10 448.0 445.80 445.0 448.20 438.20 439.80 423.40 [,99] [,100] [,101] [,102] [,103] [,104] [,105] [,106] [,107] [,108] [1,] 270.90 270.10 269.3 269.80 270.10 264.90 263.70 264.80 263.70 255.90 [2,] 285.90 297.05 301.1 305.70 301.75 306.55 304.20 304.75 296.50 289.70 [3,] 300.90 324.00 332.9 341.60 333.40 348.20 344.70 344.70 329.30 323.50 [4,] 355.85 366.20 369.8 373.75 368.05 376.65 372.15 365.60 355.35 349.35 [5,] 410.80 408.40 406.7 405.90 402.70 405.10 399.60 386.50 381.40 375.20 [,109] [,110] [,111] [,112] [,113] [,114] [,115] [,116] [,117] [,118] [1,] 276.20 317.40 330.10 329.20 334.90 315.8 315.40 319.6 317.30 313.80 [2,] 299.70 338.20 342.55 340.95 339.65 329.8 326.70 329.3 321.75 319.15 [3,] 323.20 359.00 355.00 352.70 344.40 343.8 338.00 339.0 326.20 324.50 [4,] 340.45 359.55 367.75 363.20 357.10 355.2 348.65 342.4 329.75 329.45 [5,] 357.70 360.10 380.50 373.70 369.80 366.6 359.30 345.8 333.30 334.40 [,119] [,120] [1,] 315.80 311.3 [2,] 321.95 319.4 [3,] 328.10 327.5 [4,] 328.20 329.1 [5,] 328.30 330.7 $n [1] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [38] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [75] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [112] 3 3 3 3 3 3 3 3 3 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 290.192 293.0561 287.5017 299.1082 319.8321 323.9893 309.1989 295.4046 [2,] 358.608 339.9439 334.2983 379.2918 428.5679 463.0107 469.2011 467.9954 [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [1,] 293.0552 300.0367 287.0227 286.7855 291.9952 290.9038 282.6025 277.4897 [2,] 457.3448 437.9633 427.7773 417.4145 401.0048 394.8962 397.9975 379.1103 [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 274.9632 269.8752 267.9872 254.1819 250.0237 253.9830 258.2304 262.4882 [2,] 370.8368 358.7248 349.8128 333.8181 321.1763 317.0170 320.1696 322.5118 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [1,] 264.9286 272.1779 265.4958 271.9555 274.5662 280.4851 296.3651 302.7326 [2,] 327.8714 338.2221 342.3042 351.0445 358.0338 352.9149 348.6349 331.4674 [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [1,] 308.6449 306.7489 311.5050 314.5996 292.9846 294.5252 286.1569 282.8181 [2,] 335.5551 347.2511 351.0950 352.0004 349.8154 359.4748 353.8431 346.5819 [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [1,] 289.6529 293.6928 303.4206 299.1804 292.8782 289.1344 277.7153 274.2594 [2,] 343.7471 335.1072 339.1794 337.2196 321.5218 316.8656 311.2847 313.9406 [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [1,] 272.6069 268.4109 258.7496 264.2126 259.9407 256.4513 251.4916 244.988 [2,] 316.3931 325.7891 320.0504 320.5874 315.8593 316.7487 309.5084 299.812 [,57] [,58] [,59] [,60] [,61] [,62] [,63] [,64] [1,] 242.3353 244.3739 240.8458 243.5716 246.0015 252.7450 251.5149 244.4153 [2,] 296.0647 296.8261 293.7542 281.4284 287.5985 284.8550 274.6851 277.9847 [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 247.8470 246.8555 246.454 245.3363 238.9855 236.8679 230.9052 232.1805 [2,] 284.1530 278.1445 283.946 277.2637 274.0145 271.5321 275.6948 275.4195 [,73] [,74] [,75] [,76] [,77] [,78] [,79] [,80] [1,] 225.9899 235.5718 235.8174 228.9807 233.5067 234.554 234.8681 232.9979 [2,] 285.0101 278.6282 278.7826 277.4193 272.0933 272.046 274.7319 271.4021 [,81] [,82] [,83] [,84] [,85] [,86] [,87] [,88] [1,] 230.5699 232.2996 237.6187 233.1838 239.0889 246.1853 239.8804 242.0206 [2,] 269.4301 269.7004 269.1813 269.2162 272.1111 276.0147 277.9196 277.7794 [,89] [,90] [,91] [,92] [,93] [,94] [,95] [,96] [1,] 247.6992 257.7672 257.2409 204.9710 206.1674 203.5428 195.3815 200.1987 [2,] 274.7008 271.6328 318.3591 370.6290 368.6326 364.4572 360.2185 355.0013 [,97] [,98] [,99] [,100] [,101] [,102] [,103] [,104] [1,] 226.7689 224.2613 237.0907 260.9204 270.2309 279.5239 272.9202 284.2538 [2,] 383.0311 363.7387 364.7093 387.0796 395.5691 403.6761 393.8798 412.1462 [,105] [,106] [,107] [,108] [,109] [,110] [,111] [,112] [1,] 282.7151 289.1918 275.6162 269.0865 286.0273 339.5242 332.0122 332.4033 [2,] 406.6849 400.2082 382.9838 377.9135 360.3727 378.4758 377.9878 372.9967 [,113] [,114] [,115] [,116] [,117] [,118] [,119] [,120] [1,] 328.4819 320.6298 317.9769 327.05 318.9023 315.1042 322.3987 318.6515 [2,] 360.3181 366.9702 358.0231 350.95 333.4977 333.8958 333.8013 336.3485 $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" [13] "13" "14" "15" "16" "17" "18" "19" "20" "21" "22" "23" "24" [25] "25" "26" "27" "28" "29" "30" "31" "32" "33" "34" "35" "36" [37] "37" "38" "39" "40" "41" "42" "43" "44" "45" "46" "47" "48" [49] "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" [73] "73" "74" "75" "76" "77" "78" "79" "80" "81" "82" "83" "84" [85] "85" "86" "87" "88" "89" "90" "91" "92" "93" "94" "95" "96" [97] "97" "98" "99" "100" "101" "102" "103" "104" "105" "106" "107" "108" [109] "109" "110" "111" "112" "113" "114" "115" "116" "117" "118" "119" "120" Warning message: In bxp(list(stats = c(255, 289.7, 324.4, 327.2, 330, 280.2, 298.35, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/54go91321404422.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] [1,] -7.90 -5.60 -9.40 -9.80 -1.3 -4.30 -9.7 -6.50 -22.50 -12.00 -14.20 -13.60 [2,] -3.15 7.00 14.40 5.85 9.0 -3.65 -8.6 -5.85 -14.35 -11.80 -9.75 -9.60 [3,] 1.60 19.60 38.20 21.50 19.3 -3.00 -7.5 -5.20 -6.20 -11.60 -5.30 -5.60 [4,] 13.40 19.65 38.75 28.25 25.6 8.50 -1.7 -0.65 0.10 -10.25 -4.20 2.25 [5,] 25.20 19.70 39.30 35.00 31.9 20.00 4.1 3.90 6.40 -8.90 -3.10 10.10 [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] -5.20 -6.50 -12.00 -8.10 -9.20 -5.40 -14.9 -8.40 -11.70 -2.1 -3.60 -4.3 [2,] -4.40 -4.55 -9.70 -6.75 -8.90 -3.45 -10.8 -8.40 -8.05 -1.5 -2.55 -2.7 [3,] -3.60 -2.60 -7.40 -5.40 -8.60 -1.50 -6.7 -8.40 -4.40 -0.9 -1.50 -1.1 [4,] -1.65 1.70 0.15 -3.60 -5.05 2.35 -5.5 -3.75 -1.45 1.4 0.90 1.4 [5,] 0.30 6.00 7.70 -1.80 -1.50 6.20 -4.3 0.90 1.50 3.7 3.30 3.9 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [1,] -4.10 -7.00 -3.50 -1.90 -7.40 -0.10 -5.4 -7.30 -6.00 -14.5 1.0 -11.90 [2,] -2.40 -4.15 -2.25 0.50 -3.50 2.85 -2.3 -5.40 -0.55 -14.0 1.5 -6.95 [3,] -0.70 -1.30 -1.00 2.90 0.40 5.80 0.8 -3.50 4.90 -13.5 2.0 -2.00 [4,] 4.05 1.75 3.30 3.85 2.55 13.90 13.7 3.65 6.90 -4.6 2.7 8.65 [5,] 8.80 4.80 7.60 4.80 4.70 22.00 26.6 10.80 8.90 4.3 3.4 19.30 [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [1,] 4.80 -7.4 -5.30 -5.30 -10.00 1.5 -3.10 -11.00 -5.90 -13.80 -9.80 -3.30 [2,] 5.20 -7.2 -5.10 -1.65 -6.15 4.2 -2.90 -10.75 -4.05 -11.15 -6.45 -1.45 [3,] 5.60 -7.0 -4.90 2.00 -2.30 6.9 -2.70 -10.50 -2.20 -8.50 -3.10 0.40 [4,] 9.65 -5.7 -2.75 3.65 0.80 7.3 -1.45 -5.35 -0.85 -7.95 -1.75 0.80 [5,] 13.70 -4.4 -0.60 5.30 3.90 7.7 -0.20 -0.20 0.50 -7.40 -0.40 1.20 [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [1,] -15.60 -7.70 -7.70 -4.50 -1.3 -6.10 -8.10 -3.20 -1.0 -3.30 -7.50 -1.80 [2,] -8.15 -6.60 -5.00 -3.80 -0.1 -6.00 -6.60 -2.65 -0.3 -3.25 -6.15 0.25 [3,] -0.70 -5.50 -2.30 -3.10 1.1 -5.90 -5.10 -2.10 0.4 -3.20 -4.80 2.30 [4,] 0.95 -3.35 0.35 -2.85 3.5 -4.65 -3.35 -1.50 0.9 -2.95 2.10 3.30 [5,] 2.60 -1.20 3.00 -2.60 5.9 -3.40 -1.60 -0.90 1.4 -2.70 9.00 4.30 [,61] [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 1.0 -8.7 -1.9 0.50 -7.30 -2.9 -4.80 -7.6 -4.9 -10.10 -4.40 -1.20 [2,] 1.5 -7.2 -0.8 2.00 -5.40 -0.1 -4.35 -4.5 -4.7 -5.50 -3.55 0.25 [3,] 2.0 -5.7 0.3 3.50 -3.50 2.7 -3.90 -1.4 -4.5 -0.90 -2.70 1.70 [4,] 6.7 -2.3 6.0 4.15 -2.65 3.3 -1.30 -1.1 -3.4 0.05 -1.10 8.90 [5,] 11.4 1.1 11.7 4.80 -1.80 3.9 1.30 -0.8 -2.3 1.00 0.50 16.10 [,73] [,74] [,75] [,76] [,77] [,78] [,79] [,80] [,81] [,82] [,83] [1,] -7.50 0.20 -4.1 -7.10 -0.80 -1.300000e+00 -4.80 -2.20 -9.4 -4.6 -2.20 [2,] -2.95 0.55 -1.3 -3.75 -0.70 -2.842171e-14 -3.55 -1.45 -8.6 -1.4 1.25 [3,] 1.60 0.90 1.5 -0.40 -0.60 1.300000e+00 -2.30 -0.70 -7.8 1.8 4.70 [4,] 5.80 0.95 4.5 1.65 0.65 1.400000e+00 -0.40 -0.45 -3.4 2.1 7.15 [5,] 10.00 1.00 7.5 3.70 1.90 1.500000e+00 1.50 -0.20 1.0 2.4 9.60 [,84] [,85] [,86] [,87] [,88] [,89] [,90] [,91] [,92] [,93] [,94] [,95] [1,] 1.70 -3.60 -2.2 -2.40 -7.7 -8.1 2.40 -0.70 -2.20 -3.40 -6.20 -10.0 [2,] 3.05 -1.85 -1.8 -1.15 -3.2 -2.3 7.60 -0.35 -1.30 -2.10 -3.65 -5.1 [3,] 4.40 -0.10 -1.4 0.10 1.3 3.5 12.80 0.00 -0.40 -0.80 -1.10 -0.2 [4,] 4.70 2.70 3.1 0.55 1.6 4.9 43.55 56.95 0.45 0.05 1.05 0.4 [5,] 5.00 5.50 7.6 1.00 1.9 6.3 74.30 113.90 1.30 0.90 3.20 1.0 [,96] [,97] [,98] [,99] [,100] [,101] [,102] [,103] [,104] [,105] [,106] [1,] 0.00 -16.40 -12.60 -2.40 -1.70 -0.80 -8.20 -5.2 -5.50 -13.10 -15.40 [2,] 0.80 -13.65 -6.10 -1.60 -1.25 -0.15 -5.70 -1.4 -4.50 -6.55 -10.25 [3,] 1.60 -10.90 0.40 -0.80 -0.80 0.50 -3.20 2.4 -3.50 0.00 -5.10 [4,] 14.45 -4.45 3.65 11.15 4.05 4.60 -1.45 8.6 -2.35 0.55 -3.10 [5,] 27.30 2.00 6.90 23.10 8.90 8.70 0.30 14.8 -1.20 1.10 -1.10 [,107] [,108] [,109] [,110] [,111] [,112] [,113] [,114] [,115] [,116] [1,] -7.8 -17.5 -5.80 -4.00 -6.80 -8.3 -19.10 -7.30 -13.50 -19.60 [2,] -7.0 -8.9 -2.25 4.35 -4.55 -6.1 -11.15 -6.55 -6.25 -12.65 [3,] -6.2 -0.3 1.30 12.70 -2.30 -3.9 -3.20 -5.80 1.00 -5.70 [4,] -6.0 10.0 42.60 16.55 -1.60 0.9 -1.90 -3.10 2.60 -4.00 [5,] -5.8 20.3 83.90 20.40 -0.90 5.7 -0.60 -0.40 4.20 -2.30 [,117] [,118] [,119] [,120] [1,] -3.5 -6.10 -4.50 -3.1 [2,] -2.6 -2.05 -2.55 -3.1 [3,] -1.7 2.00 -0.60 -1.9 [4,] -0.3 2.80 0.90 -0.7 [5,] 1.1 3.60 2.40 -0.7 $n [1] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [38] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [75] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [112] 3 3 3 3 3 3 3 3 2 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] -13.49713 8.0605 15.98760 1.066419 4.157257 -14.083393 -13.794273 [2,] 16.69713 31.1395 60.41240 41.933581 34.442743 8.083393 -1.205727 [,8] [,9] [,10] [,11] [,12] [,13] [,14] [1,] -9.9435098 -19.381484 -13.01393 -10.3627845 -16.409729 -6.108587 -8.301334 [2,] -0.4564902 6.981484 -10.18607 -0.2372155 5.209729 -1.091413 3.101334 [,15] [,16] [,17] [,18] [,19] [,20] [,21] [1,] -16.385302 -8.273472 -12.112022 -6.790838 -11.534731 -12.641792 -10.420609 [2,] 1.585302 -2.526528 -5.087978 3.790838 -1.865269 -4.158208 1.620609 [,22] [,23] [,24] [,25] [,26] [,27] [,28] [1,] -3.545419 -4.647136 -4.840075 -6.583777 -6.682059 -6.062785 -0.1559150 [2,] 1.745419 1.647136 2.640075 5.183777 4.082059 4.062785 5.9559150 [,29] [,30] [,31] [,32] [,33] [,34] [,35] [1,] -5.118891 -4.279958 -13.79541 -11.755531 -1.89599 -22.074806 0.9053439 [2,] 5.918891 15.879958 15.39541 4.755531 11.69599 -4.925194 3.0946561 [,36] [,37] [,38] [,39] [,40] [,41] [,42] [1,] -16.23053 1.540650 -8.36832 -7.043702 -2.834731 -8.639883 4.072138 [2,] 12.23053 9.659350 -5.63168 -2.756298 6.834731 4.039883 9.727862 [,43] [,44] [,45] [,46] [,47] [,48] [,49] [1,] -4.022709 -15.425952 -5.119083 -11.419083 -7.387403 -1.652480 -9.001142 [2,] -1.377291 -5.574048 0.719083 -5.580917 1.187403 2.452480 7.601142 [,50] [,51] [,52] [,53] [,54] [,55] [,56] [1,] -8.464694 -7.180342 -3.966603 -2.183968 -7.131488 -8.064694 -3.149045 [2,] -2.535306 2.580342 -2.233397 4.383968 -4.668512 -2.135306 -1.050955 [,57] [,58] [,59] [,60] [,61] [,62] [,63] [1,] -0.6946561 -3.473664 -12.325761 -0.4822509 -2.74351 -10.169846 -5.903051 [2,] 1.4946561 -2.926336 2.725761 5.0822509 6.74351 -1.230154 6.503051 [,64] [,65] [,66] [,67] [,68] [,69] [,70] [1,] 1.538741 -6.008587 -0.4015256 -6.682251 -4.501526 -5.685877 -5.962785 [2,] 5.461259 -0.991413 5.8015256 -1.117749 1.701526 -3.314123 4.162785 [,71] [,72] [,73] [,74] [,75] [,76] [,77] [1,] -4.9349229 -6.190646 -6.381867 0.5351146 -3.790838 -5.325952 -1.8314881 [2,] -0.4650771 9.590646 9.581867 1.2648854 6.790838 4.525952 0.6314881 [,78] [,79] [,80] [,81] [,82] [,83] [,84] [1,] 0.02290120 -5.1734723 -1.6122134 -12.54351 -1.392747 -0.6820592 2.894848 [2,] 2.57709880 0.5734723 0.2122134 -3.05649 4.992747 10.0820592 5.905152 [,85] [,86] [,87] [,88] [,89] [,90] [,91] [1,] -4.250571 -5.869846 -1.450763 -3.078624 -3.067937 -19.99407 -52.26983 [2,] 4.050571 3.069846 1.650763 5.678624 10.067937 45.59407 52.26983 [,92] [,93] [,94] [,95] [,96] [,97] [,98] [1,] -1.996373 -2.761259 -5.387403 -5.217174 -10.85171 -19.292364 -8.494081 [2,] 1.196373 1.161259 3.187403 4.817174 14.05171 -2.507636 9.294081 [,99] [,100] [,101] [,102] [,103] [,104] [,105] [1,] -12.43072 -5.634731 -3.833014 -7.076907 -6.722134 -5.461259 -6.476715 [2,] 10.83072 4.034731 4.833014 0.676907 11.522134 -1.538741 6.476715 [,106] [,107] [,108] [,109] [,110] [,111] [,112] [1,] -11.622326 -7.112213 -17.54083 -39.61277 1.570996 -4.9910296 -10.285494 [2,] 1.422326 -5.287787 16.94083 42.21277 23.829004 0.3910296 2.485494 [,113] [,114] [,115] [,116] [,117] [,118] [,119] [1,] -11.637974 -8.947136 -7.073089 -13.590646 -3.7980909 -2.424235 -3.747136 [2,] 5.237974 -2.652864 9.073089 2.190646 0.3980909 6.424235 2.547136 [,120] [1,] -4.5813489 [2,] 0.7813489 $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" [13] "13" "14" "15" "16" "17" "18" "19" "20" "21" "22" "23" "24" [25] "25" "26" "27" "28" "29" "30" "31" "32" "33" "34" "35" "36" [37] "37" "38" "39" "40" "41" "42" "43" "44" "45" "46" "47" "48" [49] "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" [73] "73" "74" "75" "76" "77" "78" "79" "80" "81" "82" "83" "84" [85] "85" "86" "87" "88" "89" "90" "91" "92" "93" "94" "95" "96" [97] "97" "98" "99" "100" "101" "102" "103" "104" "105" "106" "107" "108" [109] "109" "110" "111" "112" "113" "114" "115" "116" "117" "118" "119" "120" Warning message: In bxp(list(stats = c(-7.89999999999998, -3.14999999999998, 1.60000000000002, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/6v17p1321404422.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] [1,] 240.80 235.20 275.0 NA [2,] 257.20 267.05 293.9 NA [3,] 269.95 291.05 322.8 NA [4,] 321.75 326.35 347.1 NA [5,] 393.50 410.80 416.1 NA $n [1] 120 120 120 0 $conf [,1] [,2] [,3] [,4] [1,] 260.6397 282.4969 315.1268 NA [2,] 279.2603 299.6031 330.4732 NA $out [1] 448.0 445.8 445.0 448.2 438.2 439.8 423.4 442.8 462.8 466.9 461.7 439.2 [13] 430.3 $group [1] 2 2 2 2 2 2 2 3 3 3 3 3 3 $names [1] "1" "2" "3" NA > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/7j7nc1321404422.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,] 258.0000 250.00 256.5000 [2,] 272.6000 267.05 271.1500 [3,] 316.1167 304.40 314.0875 [4,] 332.2667 327.80 327.7875 [5,] 379.8000 393.50 382.1500 $n [1] 120 120 120 $conf [,1] [,2] [,3] [1,] 307.5107 295.6378 305.9185 [2,] 324.7226 313.1622 322.2565 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" > dev.off() null device 1 > > try(system("convert tmp/1owvm1321404422.ps tmp/1owvm1321404422.png",intern=TRUE)) character(0) > try(system("convert tmp/2mecm1321404422.ps tmp/2mecm1321404422.png",intern=TRUE)) character(0) > try(system("convert tmp/3yg7y1321404422.ps tmp/3yg7y1321404422.png",intern=TRUE)) character(0) > try(system("convert tmp/4uobj1321404422.ps tmp/4uobj1321404422.png",intern=TRUE)) character(0) > try(system("convert tmp/54go91321404422.ps tmp/54go91321404422.png",intern=TRUE)) character(0) > try(system("convert tmp/6v17p1321404422.ps tmp/6v17p1321404422.png",intern=TRUE)) character(0) > try(system("convert tmp/7j7nc1321404422.ps tmp/7j7nc1321404422.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.050 0.240 3.309