R version 2.9.0 (2009-04-17) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 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(67.643 + ,69.371 + ,66.294 + ,70.768 + ,71.774 + ,73.388 + ,74.040 + ,73.238 + ,78.121 + ,69.825 + ,71.099 + ,70.676 + ,69.515 + ,68.246 + ,68.594 + ,70.405 + ,61.223 + ,60.542 + ,61.952 + ,68.173 + ,67.240 + ,68.739 + ,69.234 + ,65.570 + ,67.408 + ,64.630 + ,68.848 + ,73.370 + ,74.292 + ,76.525 + ,74.368 + ,75.674 + ,74.868 + ,79.824 + ,80.022 + ,79.942 + ,80.622 + ,80.079 + ,79.212 + ,80.626 + ,83.551 + ,80.407 + ,85.053 + ,86.399 + ,88.536 + ,89.008 + ,89.652 + ,88.904 + ,87.472 + ,88.631 + ,87.221 + ,88.759 + ,90.127 + ,88.709 + ,90.030 + ,88.697 + ,88.762 + ,89.475 + ,88.936 + ,90.411 + ,90.004 + ,92.725 + ,90.252 + ,93.226 + ,92.575 + ,93.125 + ,95.987 + ,97.175 + ,97.321 + ,98.577 + ,99.026 + ,101.851 + ,99.958 + ,97.875 + ,97.927 + ,95.149 + ,94.551 + ,93.999 + ,93.297 + ,89.901 + ,89.742 + ,87.096 + ,86.863 + ,86.718 + ,80.020 + ,63.483 + ,51.289 + ,44.071 + ,43.654 + ,66.115 + ,84.518 + ,83.395 + ,78.307 + ,80.049 + ,78.346 + ,78.317 + ,75.918 + ,73.739 + ,74.530 + ,74.179 + ,76.974 + ,75.408 + ,73.336 + ,69.210 + ,67.286 + ,64.606 + ,64.159 + ,64.423 + ,66.411 + ,64.270 + ,56.521 + ,50.599 + ,54.751 + ,62.227 + ,63.932 + ,65.391 + ,75.744 + ,74.590 + ,76.035 + ,74.427 + ,73.354 + ,73.081 + ,75.309 + ,75.463 + ,75.910 + ,76.151 + ,76.882 + ,78.632 + ,80.137 + ,82.490 + ,79.896 + ,81.303 + ,79.344 + ,81.355 + ,82.328 + ,79.669 + ,77.249 + ,75.101 + ,72.520 + ,72.438 + ,72.653 + ,71.429 + ,69.189 + ,66.451 + ,63.354 + ,61.379 + ,61.880 + ,62.274 + ,62.429 + ,63.905 + ,63.917 + ,64.295 + ,61.930 + ,60.440 + ,59.353 + ,58.695 + ,60.569 + ,60.386 + ,60.938 + ,61.795 + ,63.304 + ,64.270 + ,63.492 + ,61.333 + ,59.341 + ,58.412 + ,58.725 + ,59.277 + ,58.562 + ,57.858 + ,58.790 + ,58.243 + ,57.044 + ,57.339 + ,59.429 + ,60.575 + ,61.950 + ,61.712) > par20 = '' > par19 = '' > par18 = '' > par17 = '' > par16 = '' > par15 = '' > par14 = '' > par13 = '' > par12 = '' > par11 = '' > par10 = '' > par9 = '' > par8 = '' > par7 = '' > par6 = '' > par5 = '' > par4 = '' > par3 = '' > par2 = '' > par1 = '177' > ylab = '' > xlab = '' > main = '' > #'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] 178 > (np <- floor(n / par1)) [1] 1 > 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] 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [38] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [75] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [112] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [149] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 > arr [,1] [,2] [1,] 67.643 61.712 [2,] 69.371 NA [3,] 66.294 NA [4,] 70.768 NA [5,] 71.774 NA [6,] 73.388 NA [7,] 74.040 NA [8,] 73.238 NA [9,] 78.121 NA [10,] 69.825 NA [11,] 71.099 NA [12,] 70.676 NA [13,] 69.515 NA [14,] 68.246 NA [15,] 68.594 NA [16,] 70.405 NA [17,] 61.223 NA [18,] 60.542 NA [19,] 61.952 NA [20,] 68.173 NA [21,] 67.240 NA [22,] 68.739 NA [23,] 69.234 NA [24,] 65.570 NA [25,] 67.408 NA [26,] 64.630 NA [27,] 68.848 NA [28,] 73.370 NA [29,] 74.292 NA [30,] 76.525 NA [31,] 74.368 NA [32,] 75.674 NA [33,] 74.868 NA [34,] 79.824 NA [35,] 80.022 NA [36,] 79.942 NA [37,] 80.622 NA [38,] 80.079 NA [39,] 79.212 NA [40,] 80.626 NA [41,] 83.551 NA [42,] 80.407 NA [43,] 85.053 NA [44,] 86.399 NA [45,] 88.536 NA [46,] 89.008 NA [47,] 89.652 NA [48,] 88.904 NA [49,] 87.472 NA [50,] 88.631 NA [51,] 87.221 NA [52,] 88.759 NA [53,] 90.127 NA [54,] 88.709 NA [55,] 90.030 NA [56,] 88.697 NA [57,] 88.762 NA [58,] 89.475 NA [59,] 88.936 NA [60,] 90.411 NA [61,] 90.004 NA [62,] 92.725 NA [63,] 90.252 NA [64,] 93.226 NA [65,] 92.575 NA [66,] 93.125 NA [67,] 95.987 NA [68,] 97.175 NA [69,] 97.321 NA [70,] 98.577 NA [71,] 99.026 NA [72,] 101.851 NA [73,] 99.958 NA [74,] 97.875 NA [75,] 97.927 NA [76,] 95.149 NA [77,] 94.551 NA [78,] 93.999 NA [79,] 93.297 NA [80,] 89.901 NA [81,] 89.742 NA [82,] 87.096 NA [83,] 86.863 NA [84,] 86.718 NA [85,] 80.020 NA [86,] 63.483 NA [87,] 51.289 NA [88,] 44.071 NA [89,] 43.654 NA [90,] 66.115 NA [91,] 84.518 NA [92,] 83.395 NA [93,] 78.307 NA [94,] 80.049 NA [95,] 78.346 NA [96,] 78.317 NA [97,] 75.918 NA [98,] 73.739 NA [99,] 74.530 NA [100,] 74.179 NA [101,] 76.974 NA [102,] 75.408 NA [103,] 73.336 NA [104,] 69.210 NA [105,] 67.286 NA [106,] 64.606 NA [107,] 64.159 NA [108,] 64.423 NA [109,] 66.411 NA [110,] 64.270 NA [111,] 56.521 NA [112,] 50.599 NA [113,] 54.751 NA [114,] 62.227 NA [115,] 63.932 NA [116,] 65.391 NA [117,] 75.744 NA [118,] 74.590 NA [119,] 76.035 NA [120,] 74.427 NA [121,] 73.354 NA [122,] 73.081 NA [123,] 75.309 NA [124,] 75.463 NA [125,] 75.910 NA [126,] 76.151 NA [127,] 76.882 NA [128,] 78.632 NA [129,] 80.137 NA [130,] 82.490 NA [131,] 79.896 NA [132,] 81.303 NA [133,] 79.344 NA [134,] 81.355 NA [135,] 82.328 NA [136,] 79.669 NA [137,] 77.249 NA [138,] 75.101 NA [139,] 72.520 NA [140,] 72.438 NA [141,] 72.653 NA [142,] 71.429 NA [143,] 69.189 NA [144,] 66.451 NA [145,] 63.354 NA [146,] 61.379 NA [147,] 61.880 NA [148,] 62.274 NA [149,] 62.429 NA [150,] 63.905 NA [151,] 63.917 NA [152,] 64.295 NA [153,] 61.930 NA [154,] 60.440 NA [155,] 59.353 NA [156,] 58.695 NA [157,] 60.569 NA [158,] 60.386 NA [159,] 60.938 NA [160,] 61.795 NA [161,] 63.304 NA [162,] 64.270 NA [163,] 63.492 NA [164,] 61.333 NA [165,] 59.341 NA [166,] 58.412 NA [167,] 58.725 NA [168,] 59.277 NA [169,] 58.562 NA [170,] 57.858 NA [171,] 58.790 NA [172,] 58.243 NA [173,] 57.044 NA [174,] 57.339 NA [175,] 59.429 NA [176,] 60.575 NA [177,] 61.950 NA > darr [,1] [,2] [1,] 1.728 NA [2,] -3.077 NA [3,] 4.474 NA [4,] 1.006 NA [5,] 1.614 NA [6,] 0.652 NA [7,] -0.802 NA [8,] 4.883 NA [9,] -8.296 NA [10,] 1.274 NA [11,] -0.423 NA [12,] -1.161 NA [13,] -1.269 NA [14,] 0.348 NA [15,] 1.811 NA [16,] -9.182 NA [17,] -0.681 NA [18,] 1.410 NA [19,] 6.221 NA [20,] -0.933 NA [21,] 1.499 NA [22,] 0.495 NA [23,] -3.664 NA [24,] 1.838 NA [25,] -2.778 NA [26,] 4.218 NA [27,] 4.522 NA [28,] 0.922 NA [29,] 2.233 NA [30,] -2.157 NA [31,] 1.306 NA [32,] -0.806 NA [33,] 4.956 NA [34,] 0.198 NA [35,] -0.080 NA [36,] 0.680 NA [37,] -0.543 NA [38,] -0.867 NA [39,] 1.414 NA [40,] 2.925 NA [41,] -3.144 NA [42,] 4.646 NA [43,] 1.346 NA [44,] 2.137 NA [45,] 0.472 NA [46,] 0.644 NA [47,] -0.748 NA [48,] -1.432 NA [49,] 1.159 NA [50,] -1.410 NA [51,] 1.538 NA [52,] 1.368 NA [53,] -1.418 NA [54,] 1.321 NA [55,] -1.333 NA [56,] 0.065 NA [57,] 0.713 NA [58,] -0.539 NA [59,] 1.475 NA [60,] -0.407 NA [61,] 2.721 NA [62,] -2.473 NA [63,] 2.974 NA [64,] -0.651 NA [65,] 0.550 NA [66,] 2.862 NA [67,] 1.188 NA [68,] 0.146 NA [69,] 1.256 NA [70,] 0.449 NA [71,] 2.825 NA [72,] -1.893 NA [73,] -2.083 NA [74,] 0.052 NA [75,] -2.778 NA [76,] -0.598 NA [77,] -0.552 NA [78,] -0.702 NA [79,] -3.396 NA [80,] -0.159 NA [81,] -2.646 NA [82,] -0.233 NA [83,] -0.145 NA [84,] -6.698 NA [85,] -16.537 NA [86,] -12.194 NA [87,] -7.218 NA [88,] -0.417 NA [89,] 22.461 NA [90,] 18.403 NA [91,] -1.123 NA [92,] -5.088 NA [93,] 1.742 NA [94,] -1.703 NA [95,] -0.029 NA [96,] -2.399 NA [97,] -2.179 NA [98,] 0.791 NA [99,] -0.351 NA [100,] 2.795 NA [101,] -1.566 NA [102,] -2.072 NA [103,] -4.126 NA [104,] -1.924 NA [105,] -2.680 NA [106,] -0.447 NA [107,] 0.264 NA [108,] 1.988 NA [109,] -2.141 NA [110,] -7.749 NA [111,] -5.922 NA [112,] 4.152 NA [113,] 7.476 NA [114,] 1.705 NA [115,] 1.459 NA [116,] 10.353 NA [117,] -1.154 NA [118,] 1.445 NA [119,] -1.608 NA [120,] -1.073 NA [121,] -0.273 NA [122,] 2.228 NA [123,] 0.154 NA [124,] 0.447 NA [125,] 0.241 NA [126,] 0.731 NA [127,] 1.750 NA [128,] 1.505 NA [129,] 2.353 NA [130,] -2.594 NA [131,] 1.407 NA [132,] -1.959 NA [133,] 2.011 NA [134,] 0.973 NA [135,] -2.659 NA [136,] -2.420 NA [137,] -2.148 NA [138,] -2.581 NA [139,] -0.082 NA [140,] 0.215 NA [141,] -1.224 NA [142,] -2.240 NA [143,] -2.738 NA [144,] -3.097 NA [145,] -1.975 NA [146,] 0.501 NA [147,] 0.394 NA [148,] 0.155 NA [149,] 1.476 NA [150,] 0.012 NA [151,] 0.378 NA [152,] -2.365 NA [153,] -1.490 NA [154,] -1.087 NA [155,] -0.658 NA [156,] 1.874 NA [157,] -0.183 NA [158,] 0.552 NA [159,] 0.857 NA [160,] 1.509 NA [161,] 0.966 NA [162,] -0.778 NA [163,] -2.159 NA [164,] -1.992 NA [165,] -0.929 NA [166,] 0.313 NA [167,] 0.552 NA [168,] -0.715 NA [169,] -0.704 NA [170,] 0.932 NA [171,] -0.547 NA [172,] -1.199 NA [173,] 0.295 NA [174,] 2.090 NA [175,] 1.146 NA [176,] 1.375 NA [177,] -0.238 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/html/rcomp/tmp/1c3m01290677748.ps",horizontal=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/html/rcomp/tmp/2c3m01290677748.ps",horizontal=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/html/rcomp/tmp/3c3m01290677748.ps",horizontal=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/html/rcomp/tmp/45u4l1290677748.ps",horizontal=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] [1,] 61.7120 69.371 66.294 70.768 71.774 73.388 74.04 73.238 78.121 69.825 [2,] 61.7120 69.371 66.294 70.768 71.774 73.388 74.04 73.238 78.121 69.825 [3,] 64.6775 69.371 66.294 70.768 71.774 73.388 74.04 73.238 78.121 69.825 [4,] 67.6430 69.371 66.294 70.768 71.774 73.388 74.04 73.238 78.121 69.825 [5,] 67.6430 69.371 66.294 70.768 71.774 73.388 74.04 73.238 78.121 69.825 [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [1,] 71.099 70.676 69.515 68.246 68.594 70.405 61.223 60.542 61.952 68.173 [2,] 71.099 70.676 69.515 68.246 68.594 70.405 61.223 60.542 61.952 68.173 [3,] 71.099 70.676 69.515 68.246 68.594 70.405 61.223 60.542 61.952 68.173 [4,] 71.099 70.676 69.515 68.246 68.594 70.405 61.223 60.542 61.952 68.173 [5,] 71.099 70.676 69.515 68.246 68.594 70.405 61.223 60.542 61.952 68.173 [,21] [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [1,] 67.24 68.739 69.234 65.57 67.408 64.63 68.848 73.37 74.292 76.525 74.368 [2,] 67.24 68.739 69.234 65.57 67.408 64.63 68.848 73.37 74.292 76.525 74.368 [3,] 67.24 68.739 69.234 65.57 67.408 64.63 68.848 73.37 74.292 76.525 74.368 [4,] 67.24 68.739 69.234 65.57 67.408 64.63 68.848 73.37 74.292 76.525 74.368 [5,] 67.24 68.739 69.234 65.57 67.408 64.63 68.848 73.37 74.292 76.525 74.368 [,32] [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [,41] [1,] 75.674 74.868 79.824 80.022 79.942 80.622 80.079 79.212 80.626 83.551 [2,] 75.674 74.868 79.824 80.022 79.942 80.622 80.079 79.212 80.626 83.551 [3,] 75.674 74.868 79.824 80.022 79.942 80.622 80.079 79.212 80.626 83.551 [4,] 75.674 74.868 79.824 80.022 79.942 80.622 80.079 79.212 80.626 83.551 [5,] 75.674 74.868 79.824 80.022 79.942 80.622 80.079 79.212 80.626 83.551 [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50] [,51] [1,] 80.407 85.053 86.399 88.536 89.008 89.652 88.904 87.472 88.631 87.221 [2,] 80.407 85.053 86.399 88.536 89.008 89.652 88.904 87.472 88.631 87.221 [3,] 80.407 85.053 86.399 88.536 89.008 89.652 88.904 87.472 88.631 87.221 [4,] 80.407 85.053 86.399 88.536 89.008 89.652 88.904 87.472 88.631 87.221 [5,] 80.407 85.053 86.399 88.536 89.008 89.652 88.904 87.472 88.631 87.221 [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [1,] 88.759 90.127 88.709 90.03 88.697 88.762 89.475 88.936 90.411 90.004 [2,] 88.759 90.127 88.709 90.03 88.697 88.762 89.475 88.936 90.411 90.004 [3,] 88.759 90.127 88.709 90.03 88.697 88.762 89.475 88.936 90.411 90.004 [4,] 88.759 90.127 88.709 90.03 88.697 88.762 89.475 88.936 90.411 90.004 [5,] 88.759 90.127 88.709 90.03 88.697 88.762 89.475 88.936 90.411 90.004 [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [1,] 92.725 90.252 93.226 92.575 93.125 95.987 97.175 97.321 98.577 99.026 [2,] 92.725 90.252 93.226 92.575 93.125 95.987 97.175 97.321 98.577 99.026 [3,] 92.725 90.252 93.226 92.575 93.125 95.987 97.175 97.321 98.577 99.026 [4,] 92.725 90.252 93.226 92.575 93.125 95.987 97.175 97.321 98.577 99.026 [5,] 92.725 90.252 93.226 92.575 93.125 95.987 97.175 97.321 98.577 99.026 [,72] [,73] [,74] [,75] [,76] [,77] [,78] [,79] [,80] [,81] [1,] 101.851 99.958 97.875 97.927 95.149 94.551 93.999 93.297 89.901 89.742 [2,] 101.851 99.958 97.875 97.927 95.149 94.551 93.999 93.297 89.901 89.742 [3,] 101.851 99.958 97.875 97.927 95.149 94.551 93.999 93.297 89.901 89.742 [4,] 101.851 99.958 97.875 97.927 95.149 94.551 93.999 93.297 89.901 89.742 [5,] 101.851 99.958 97.875 97.927 95.149 94.551 93.999 93.297 89.901 89.742 [,82] [,83] [,84] [,85] [,86] [,87] [,88] [,89] [,90] [,91] [1,] 87.096 86.863 86.718 80.02 63.483 51.289 44.071 43.654 66.115 84.518 [2,] 87.096 86.863 86.718 80.02 63.483 51.289 44.071 43.654 66.115 84.518 [3,] 87.096 86.863 86.718 80.02 63.483 51.289 44.071 43.654 66.115 84.518 [4,] 87.096 86.863 86.718 80.02 63.483 51.289 44.071 43.654 66.115 84.518 [5,] 87.096 86.863 86.718 80.02 63.483 51.289 44.071 43.654 66.115 84.518 [,92] [,93] [,94] [,95] [,96] [,97] [,98] [,99] [,100] [,101] [1,] 83.395 78.307 80.049 78.346 78.317 75.918 73.739 74.53 74.179 76.974 [2,] 83.395 78.307 80.049 78.346 78.317 75.918 73.739 74.53 74.179 76.974 [3,] 83.395 78.307 80.049 78.346 78.317 75.918 73.739 74.53 74.179 76.974 [4,] 83.395 78.307 80.049 78.346 78.317 75.918 73.739 74.53 74.179 76.974 [5,] 83.395 78.307 80.049 78.346 78.317 75.918 73.739 74.53 74.179 76.974 [,102] [,103] [,104] [,105] [,106] [,107] [,108] [,109] [,110] [,111] [1,] 75.408 73.336 69.21 67.286 64.606 64.159 64.423 66.411 64.27 56.521 [2,] 75.408 73.336 69.21 67.286 64.606 64.159 64.423 66.411 64.27 56.521 [3,] 75.408 73.336 69.21 67.286 64.606 64.159 64.423 66.411 64.27 56.521 [4,] 75.408 73.336 69.21 67.286 64.606 64.159 64.423 66.411 64.27 56.521 [5,] 75.408 73.336 69.21 67.286 64.606 64.159 64.423 66.411 64.27 56.521 [,112] [,113] [,114] [,115] [,116] [,117] [,118] [,119] [,120] [,121] [1,] 50.599 54.751 62.227 63.932 65.391 75.744 74.59 76.035 74.427 73.354 [2,] 50.599 54.751 62.227 63.932 65.391 75.744 74.59 76.035 74.427 73.354 [3,] 50.599 54.751 62.227 63.932 65.391 75.744 74.59 76.035 74.427 73.354 [4,] 50.599 54.751 62.227 63.932 65.391 75.744 74.59 76.035 74.427 73.354 [5,] 50.599 54.751 62.227 63.932 65.391 75.744 74.59 76.035 74.427 73.354 [,122] [,123] [,124] [,125] [,126] [,127] [,128] [,129] [,130] [,131] [1,] 73.081 75.309 75.463 75.91 76.151 76.882 78.632 80.137 82.49 79.896 [2,] 73.081 75.309 75.463 75.91 76.151 76.882 78.632 80.137 82.49 79.896 [3,] 73.081 75.309 75.463 75.91 76.151 76.882 78.632 80.137 82.49 79.896 [4,] 73.081 75.309 75.463 75.91 76.151 76.882 78.632 80.137 82.49 79.896 [5,] 73.081 75.309 75.463 75.91 76.151 76.882 78.632 80.137 82.49 79.896 [,132] [,133] [,134] [,135] [,136] [,137] [,138] [,139] [,140] [,141] [1,] 81.303 79.344 81.355 82.328 79.669 77.249 75.101 72.52 72.438 72.653 [2,] 81.303 79.344 81.355 82.328 79.669 77.249 75.101 72.52 72.438 72.653 [3,] 81.303 79.344 81.355 82.328 79.669 77.249 75.101 72.52 72.438 72.653 [4,] 81.303 79.344 81.355 82.328 79.669 77.249 75.101 72.52 72.438 72.653 [5,] 81.303 79.344 81.355 82.328 79.669 77.249 75.101 72.52 72.438 72.653 [,142] [,143] [,144] [,145] [,146] [,147] [,148] [,149] [,150] [,151] [1,] 71.429 69.189 66.451 63.354 61.379 61.88 62.274 62.429 63.905 63.917 [2,] 71.429 69.189 66.451 63.354 61.379 61.88 62.274 62.429 63.905 63.917 [3,] 71.429 69.189 66.451 63.354 61.379 61.88 62.274 62.429 63.905 63.917 [4,] 71.429 69.189 66.451 63.354 61.379 61.88 62.274 62.429 63.905 63.917 [5,] 71.429 69.189 66.451 63.354 61.379 61.88 62.274 62.429 63.905 63.917 [,152] [,153] [,154] [,155] [,156] [,157] [,158] [,159] [,160] [,161] [1,] 64.295 61.93 60.44 59.353 58.695 60.569 60.386 60.938 61.795 63.304 [2,] 64.295 61.93 60.44 59.353 58.695 60.569 60.386 60.938 61.795 63.304 [3,] 64.295 61.93 60.44 59.353 58.695 60.569 60.386 60.938 61.795 63.304 [4,] 64.295 61.93 60.44 59.353 58.695 60.569 60.386 60.938 61.795 63.304 [5,] 64.295 61.93 60.44 59.353 58.695 60.569 60.386 60.938 61.795 63.304 [,162] [,163] [,164] [,165] [,166] [,167] [,168] [,169] [,170] [,171] [1,] 64.27 63.492 61.333 59.341 58.412 58.725 59.277 58.562 57.858 58.79 [2,] 64.27 63.492 61.333 59.341 58.412 58.725 59.277 58.562 57.858 58.79 [3,] 64.27 63.492 61.333 59.341 58.412 58.725 59.277 58.562 57.858 58.79 [4,] 64.27 63.492 61.333 59.341 58.412 58.725 59.277 58.562 57.858 58.79 [5,] 64.27 63.492 61.333 59.341 58.412 58.725 59.277 58.562 57.858 58.79 [,172] [,173] [,174] [,175] [,176] [,177] [1,] 58.243 57.044 57.339 59.429 60.575 61.95 [2,] 58.243 57.044 57.339 59.429 60.575 61.95 [3,] 58.243 57.044 57.339 59.429 60.575 61.95 [4,] 58.243 57.044 57.339 59.429 60.575 61.95 [5,] 58.243 57.044 57.339 59.429 60.575 61.95 $n [1] 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [38] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [75] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [112] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [149] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] 58.05122 69.371 66.294 70.768 71.774 73.388 74.04 73.238 78.121 69.825 [2,] 71.30378 69.371 66.294 70.768 71.774 73.388 74.04 73.238 78.121 69.825 [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [1,] 71.099 70.676 69.515 68.246 68.594 70.405 61.223 60.542 61.952 68.173 [2,] 71.099 70.676 69.515 68.246 68.594 70.405 61.223 60.542 61.952 68.173 [,21] [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [1,] 67.24 68.739 69.234 65.57 67.408 64.63 68.848 73.37 74.292 76.525 74.368 [2,] 67.24 68.739 69.234 65.57 67.408 64.63 68.848 73.37 74.292 76.525 74.368 [,32] [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [,41] [1,] 75.674 74.868 79.824 80.022 79.942 80.622 80.079 79.212 80.626 83.551 [2,] 75.674 74.868 79.824 80.022 79.942 80.622 80.079 79.212 80.626 83.551 [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50] [,51] [1,] 80.407 85.053 86.399 88.536 89.008 89.652 88.904 87.472 88.631 87.221 [2,] 80.407 85.053 86.399 88.536 89.008 89.652 88.904 87.472 88.631 87.221 [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [1,] 88.759 90.127 88.709 90.03 88.697 88.762 89.475 88.936 90.411 90.004 [2,] 88.759 90.127 88.709 90.03 88.697 88.762 89.475 88.936 90.411 90.004 [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [1,] 92.725 90.252 93.226 92.575 93.125 95.987 97.175 97.321 98.577 99.026 [2,] 92.725 90.252 93.226 92.575 93.125 95.987 97.175 97.321 98.577 99.026 [,72] [,73] [,74] [,75] [,76] [,77] [,78] [,79] [,80] [,81] [1,] 101.851 99.958 97.875 97.927 95.149 94.551 93.999 93.297 89.901 89.742 [2,] 101.851 99.958 97.875 97.927 95.149 94.551 93.999 93.297 89.901 89.742 [,82] [,83] [,84] [,85] [,86] [,87] [,88] [,89] [,90] [,91] [1,] 87.096 86.863 86.718 80.02 63.483 51.289 44.071 43.654 66.115 84.518 [2,] 87.096 86.863 86.718 80.02 63.483 51.289 44.071 43.654 66.115 84.518 [,92] [,93] [,94] [,95] [,96] [,97] [,98] [,99] [,100] [,101] [1,] 83.395 78.307 80.049 78.346 78.317 75.918 73.739 74.53 74.179 76.974 [2,] 83.395 78.307 80.049 78.346 78.317 75.918 73.739 74.53 74.179 76.974 [,102] [,103] [,104] [,105] [,106] [,107] [,108] [,109] [,110] [,111] [1,] 75.408 73.336 69.21 67.286 64.606 64.159 64.423 66.411 64.27 56.521 [2,] 75.408 73.336 69.21 67.286 64.606 64.159 64.423 66.411 64.27 56.521 [,112] [,113] [,114] [,115] [,116] [,117] [,118] [,119] [,120] [,121] [1,] 50.599 54.751 62.227 63.932 65.391 75.744 74.59 76.035 74.427 73.354 [2,] 50.599 54.751 62.227 63.932 65.391 75.744 74.59 76.035 74.427 73.354 [,122] [,123] [,124] [,125] [,126] [,127] [,128] [,129] [,130] [,131] [1,] 73.081 75.309 75.463 75.91 76.151 76.882 78.632 80.137 82.49 79.896 [2,] 73.081 75.309 75.463 75.91 76.151 76.882 78.632 80.137 82.49 79.896 [,132] [,133] [,134] [,135] [,136] [,137] [,138] [,139] [,140] [,141] [1,] 81.303 79.344 81.355 82.328 79.669 77.249 75.101 72.52 72.438 72.653 [2,] 81.303 79.344 81.355 82.328 79.669 77.249 75.101 72.52 72.438 72.653 [,142] [,143] [,144] [,145] [,146] [,147] [,148] [,149] [,150] [,151] [1,] 71.429 69.189 66.451 63.354 61.379 61.88 62.274 62.429 63.905 63.917 [2,] 71.429 69.189 66.451 63.354 61.379 61.88 62.274 62.429 63.905 63.917 [,152] [,153] [,154] [,155] [,156] [,157] [,158] [,159] [,160] [,161] [1,] 64.295 61.93 60.44 59.353 58.695 60.569 60.386 60.938 61.795 63.304 [2,] 64.295 61.93 60.44 59.353 58.695 60.569 60.386 60.938 61.795 63.304 [,162] [,163] [,164] [,165] [,166] [,167] [,168] [,169] [,170] [,171] [1,] 64.27 63.492 61.333 59.341 58.412 58.725 59.277 58.562 57.858 58.79 [2,] 64.27 63.492 61.333 59.341 58.412 58.725 59.277 58.562 57.858 58.79 [,172] [,173] [,174] [,175] [,176] [,177] [1,] 58.243 57.044 57.339 59.429 60.575 61.95 [2,] 58.243 57.044 57.339 59.429 60.575 61.95 $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" [121] "121" "122" "123" "124" "125" "126" "127" "128" "129" "130" "131" "132" [133] "133" "134" "135" "136" "137" "138" "139" "140" "141" "142" "143" "144" [145] "145" "146" "147" "148" "149" "150" "151" "152" "153" "154" "155" "156" [157] "157" "158" "159" "160" "161" "162" "163" "164" "165" "166" "167" "168" [169] "169" "170" "171" "172" "173" "174" "175" "176" "177" Warning message: In bxp(list(stats = c(61.712, 61.712, 64.6775, 67.643, 67.643, 69.371, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/55u4l1290677748.ps",horizontal=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] [1,] 1.728 -3.077 4.474 1.006 1.614 0.652 -0.802 4.883 -8.296 1.274 -0.423 [2,] 1.728 -3.077 4.474 1.006 1.614 0.652 -0.802 4.883 -8.296 1.274 -0.423 [3,] 1.728 -3.077 4.474 1.006 1.614 0.652 -0.802 4.883 -8.296 1.274 -0.423 [4,] 1.728 -3.077 4.474 1.006 1.614 0.652 -0.802 4.883 -8.296 1.274 -0.423 [5,] 1.728 -3.077 4.474 1.006 1.614 0.652 -0.802 4.883 -8.296 1.274 -0.423 [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [1,] -1.161 -1.269 0.348 1.811 -9.182 -0.681 1.41 6.221 -0.933 1.499 0.495 [2,] -1.161 -1.269 0.348 1.811 -9.182 -0.681 1.41 6.221 -0.933 1.499 0.495 [3,] -1.161 -1.269 0.348 1.811 -9.182 -0.681 1.41 6.221 -0.933 1.499 0.495 [4,] -1.161 -1.269 0.348 1.811 -9.182 -0.681 1.41 6.221 -0.933 1.499 0.495 [5,] -1.161 -1.269 0.348 1.811 -9.182 -0.681 1.41 6.221 -0.933 1.499 0.495 [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [1,] -3.664 1.838 -2.778 4.218 4.522 0.922 2.233 -2.157 1.306 -0.806 4.956 [2,] -3.664 1.838 -2.778 4.218 4.522 0.922 2.233 -2.157 1.306 -0.806 4.956 [3,] -3.664 1.838 -2.778 4.218 4.522 0.922 2.233 -2.157 1.306 -0.806 4.956 [4,] -3.664 1.838 -2.778 4.218 4.522 0.922 2.233 -2.157 1.306 -0.806 4.956 [5,] -3.664 1.838 -2.778 4.218 4.522 0.922 2.233 -2.157 1.306 -0.806 4.956 [,34] [,35] [,36] [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [1,] 0.198 -0.08 0.68 -0.543 -0.867 1.414 2.925 -3.144 4.646 1.346 2.137 0.472 [2,] 0.198 -0.08 0.68 -0.543 -0.867 1.414 2.925 -3.144 4.646 1.346 2.137 0.472 [3,] 0.198 -0.08 0.68 -0.543 -0.867 1.414 2.925 -3.144 4.646 1.346 2.137 0.472 [4,] 0.198 -0.08 0.68 -0.543 -0.867 1.414 2.925 -3.144 4.646 1.346 2.137 0.472 [5,] 0.198 -0.08 0.68 -0.543 -0.867 1.414 2.925 -3.144 4.646 1.346 2.137 0.472 [,46] [,47] [,48] [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [1,] 0.644 -0.748 -1.432 1.159 -1.41 1.538 1.368 -1.418 1.321 -1.333 0.065 [2,] 0.644 -0.748 -1.432 1.159 -1.41 1.538 1.368 -1.418 1.321 -1.333 0.065 [3,] 0.644 -0.748 -1.432 1.159 -1.41 1.538 1.368 -1.418 1.321 -1.333 0.065 [4,] 0.644 -0.748 -1.432 1.159 -1.41 1.538 1.368 -1.418 1.321 -1.333 0.065 [5,] 0.644 -0.748 -1.432 1.159 -1.41 1.538 1.368 -1.418 1.321 -1.333 0.065 [,57] [,58] [,59] [,60] [,61] [,62] [,63] [,64] [,65] [,66] [,67] [1,] 0.713 -0.539 1.475 -0.407 2.721 -2.473 2.974 -0.651 0.55 2.862 1.188 [2,] 0.713 -0.539 1.475 -0.407 2.721 -2.473 2.974 -0.651 0.55 2.862 1.188 [3,] 0.713 -0.539 1.475 -0.407 2.721 -2.473 2.974 -0.651 0.55 2.862 1.188 [4,] 0.713 -0.539 1.475 -0.407 2.721 -2.473 2.974 -0.651 0.55 2.862 1.188 [5,] 0.713 -0.539 1.475 -0.407 2.721 -2.473 2.974 -0.651 0.55 2.862 1.188 [,68] [,69] [,70] [,71] [,72] [,73] [,74] [,75] [,76] [,77] [,78] [1,] 0.146 1.256 0.449 2.825 -1.893 -2.083 0.052 -2.778 -0.598 -0.552 -0.702 [2,] 0.146 1.256 0.449 2.825 -1.893 -2.083 0.052 -2.778 -0.598 -0.552 -0.702 [3,] 0.146 1.256 0.449 2.825 -1.893 -2.083 0.052 -2.778 -0.598 -0.552 -0.702 [4,] 0.146 1.256 0.449 2.825 -1.893 -2.083 0.052 -2.778 -0.598 -0.552 -0.702 [5,] 0.146 1.256 0.449 2.825 -1.893 -2.083 0.052 -2.778 -0.598 -0.552 -0.702 [,79] [,80] [,81] [,82] [,83] [,84] [,85] [,86] [,87] [,88] [1,] -3.396 -0.159 -2.646 -0.233 -0.145 -6.698 -16.537 -12.194 -7.218 -0.417 [2,] -3.396 -0.159 -2.646 -0.233 -0.145 -6.698 -16.537 -12.194 -7.218 -0.417 [3,] -3.396 -0.159 -2.646 -0.233 -0.145 -6.698 -16.537 -12.194 -7.218 -0.417 [4,] -3.396 -0.159 -2.646 -0.233 -0.145 -6.698 -16.537 -12.194 -7.218 -0.417 [5,] -3.396 -0.159 -2.646 -0.233 -0.145 -6.698 -16.537 -12.194 -7.218 -0.417 [,89] [,90] [,91] [,92] [,93] [,94] [,95] [,96] [,97] [,98] [,99] [1,] 22.461 18.403 -1.123 -5.088 1.742 -1.703 -0.029 -2.399 -2.179 0.791 -0.351 [2,] 22.461 18.403 -1.123 -5.088 1.742 -1.703 -0.029 -2.399 -2.179 0.791 -0.351 [3,] 22.461 18.403 -1.123 -5.088 1.742 -1.703 -0.029 -2.399 -2.179 0.791 -0.351 [4,] 22.461 18.403 -1.123 -5.088 1.742 -1.703 -0.029 -2.399 -2.179 0.791 -0.351 [5,] 22.461 18.403 -1.123 -5.088 1.742 -1.703 -0.029 -2.399 -2.179 0.791 -0.351 [,100] [,101] [,102] [,103] [,104] [,105] [,106] [,107] [,108] [,109] [1,] 2.795 -1.566 -2.072 -4.126 -1.924 -2.68 -0.447 0.264 1.988 -2.141 [2,] 2.795 -1.566 -2.072 -4.126 -1.924 -2.68 -0.447 0.264 1.988 -2.141 [3,] 2.795 -1.566 -2.072 -4.126 -1.924 -2.68 -0.447 0.264 1.988 -2.141 [4,] 2.795 -1.566 -2.072 -4.126 -1.924 -2.68 -0.447 0.264 1.988 -2.141 [5,] 2.795 -1.566 -2.072 -4.126 -1.924 -2.68 -0.447 0.264 1.988 -2.141 [,110] [,111] [,112] [,113] [,114] [,115] [,116] [,117] [,118] [,119] [1,] -7.749 -5.922 4.152 7.476 1.705 1.459 10.353 -1.154 1.445 -1.608 [2,] -7.749 -5.922 4.152 7.476 1.705 1.459 10.353 -1.154 1.445 -1.608 [3,] -7.749 -5.922 4.152 7.476 1.705 1.459 10.353 -1.154 1.445 -1.608 [4,] -7.749 -5.922 4.152 7.476 1.705 1.459 10.353 -1.154 1.445 -1.608 [5,] -7.749 -5.922 4.152 7.476 1.705 1.459 10.353 -1.154 1.445 -1.608 [,120] [,121] [,122] [,123] [,124] [,125] [,126] [,127] [,128] [,129] [1,] -1.073 -0.273 2.228 0.154 0.447 0.241 0.731 1.75 1.505 2.353 [2,] -1.073 -0.273 2.228 0.154 0.447 0.241 0.731 1.75 1.505 2.353 [3,] -1.073 -0.273 2.228 0.154 0.447 0.241 0.731 1.75 1.505 2.353 [4,] -1.073 -0.273 2.228 0.154 0.447 0.241 0.731 1.75 1.505 2.353 [5,] -1.073 -0.273 2.228 0.154 0.447 0.241 0.731 1.75 1.505 2.353 [,130] [,131] [,132] [,133] [,134] [,135] [,136] [,137] [,138] [,139] [1,] -2.594 1.407 -1.959 2.011 0.973 -2.659 -2.42 -2.148 -2.581 -0.082 [2,] -2.594 1.407 -1.959 2.011 0.973 -2.659 -2.42 -2.148 -2.581 -0.082 [3,] -2.594 1.407 -1.959 2.011 0.973 -2.659 -2.42 -2.148 -2.581 -0.082 [4,] -2.594 1.407 -1.959 2.011 0.973 -2.659 -2.42 -2.148 -2.581 -0.082 [5,] -2.594 1.407 -1.959 2.011 0.973 -2.659 -2.42 -2.148 -2.581 -0.082 [,140] [,141] [,142] [,143] [,144] [,145] [,146] [,147] [,148] [,149] [1,] 0.215 -1.224 -2.24 -2.738 -3.097 -1.975 0.501 0.394 0.155 1.476 [2,] 0.215 -1.224 -2.24 -2.738 -3.097 -1.975 0.501 0.394 0.155 1.476 [3,] 0.215 -1.224 -2.24 -2.738 -3.097 -1.975 0.501 0.394 0.155 1.476 [4,] 0.215 -1.224 -2.24 -2.738 -3.097 -1.975 0.501 0.394 0.155 1.476 [5,] 0.215 -1.224 -2.24 -2.738 -3.097 -1.975 0.501 0.394 0.155 1.476 [,150] [,151] [,152] [,153] [,154] [,155] [,156] [,157] [,158] [,159] [1,] 0.012 0.378 -2.365 -1.49 -1.087 -0.658 1.874 -0.183 0.552 0.857 [2,] 0.012 0.378 -2.365 -1.49 -1.087 -0.658 1.874 -0.183 0.552 0.857 [3,] 0.012 0.378 -2.365 -1.49 -1.087 -0.658 1.874 -0.183 0.552 0.857 [4,] 0.012 0.378 -2.365 -1.49 -1.087 -0.658 1.874 -0.183 0.552 0.857 [5,] 0.012 0.378 -2.365 -1.49 -1.087 -0.658 1.874 -0.183 0.552 0.857 [,160] [,161] [,162] [,163] [,164] [,165] [,166] [,167] [,168] [,169] [1,] 1.509 0.966 -0.778 -2.159 -1.992 -0.929 0.313 0.552 -0.715 -0.704 [2,] 1.509 0.966 -0.778 -2.159 -1.992 -0.929 0.313 0.552 -0.715 -0.704 [3,] 1.509 0.966 -0.778 -2.159 -1.992 -0.929 0.313 0.552 -0.715 -0.704 [4,] 1.509 0.966 -0.778 -2.159 -1.992 -0.929 0.313 0.552 -0.715 -0.704 [5,] 1.509 0.966 -0.778 -2.159 -1.992 -0.929 0.313 0.552 -0.715 -0.704 [,170] [,171] [,172] [,173] [,174] [,175] [,176] [,177] [1,] 0.932 -0.547 -1.199 0.295 2.09 1.146 1.375 -0.238 [2,] 0.932 -0.547 -1.199 0.295 2.09 1.146 1.375 -0.238 [3,] 0.932 -0.547 -1.199 0.295 2.09 1.146 1.375 -0.238 [4,] 0.932 -0.547 -1.199 0.295 2.09 1.146 1.375 -0.238 [5,] 0.932 -0.547 -1.199 0.295 2.09 1.146 1.375 -0.238 $n [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [38] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [75] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [112] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [149] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [1,] 1.728 -3.077 4.474 1.006 1.614 0.652 -0.802 4.883 -8.296 1.274 -0.423 [2,] 1.728 -3.077 4.474 1.006 1.614 0.652 -0.802 4.883 -8.296 1.274 -0.423 [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [1,] -1.161 -1.269 0.348 1.811 -9.182 -0.681 1.41 6.221 -0.933 1.499 0.495 [2,] -1.161 -1.269 0.348 1.811 -9.182 -0.681 1.41 6.221 -0.933 1.499 0.495 [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [1,] -3.664 1.838 -2.778 4.218 4.522 0.922 2.233 -2.157 1.306 -0.806 4.956 [2,] -3.664 1.838 -2.778 4.218 4.522 0.922 2.233 -2.157 1.306 -0.806 4.956 [,34] [,35] [,36] [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [1,] 0.198 -0.08 0.68 -0.543 -0.867 1.414 2.925 -3.144 4.646 1.346 2.137 0.472 [2,] 0.198 -0.08 0.68 -0.543 -0.867 1.414 2.925 -3.144 4.646 1.346 2.137 0.472 [,46] [,47] [,48] [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [1,] 0.644 -0.748 -1.432 1.159 -1.41 1.538 1.368 -1.418 1.321 -1.333 0.065 [2,] 0.644 -0.748 -1.432 1.159 -1.41 1.538 1.368 -1.418 1.321 -1.333 0.065 [,57] [,58] [,59] [,60] [,61] [,62] [,63] [,64] [,65] [,66] [,67] [1,] 0.713 -0.539 1.475 -0.407 2.721 -2.473 2.974 -0.651 0.55 2.862 1.188 [2,] 0.713 -0.539 1.475 -0.407 2.721 -2.473 2.974 -0.651 0.55 2.862 1.188 [,68] [,69] [,70] [,71] [,72] [,73] [,74] [,75] [,76] [,77] [,78] [1,] 0.146 1.256 0.449 2.825 -1.893 -2.083 0.052 -2.778 -0.598 -0.552 -0.702 [2,] 0.146 1.256 0.449 2.825 -1.893 -2.083 0.052 -2.778 -0.598 -0.552 -0.702 [,79] [,80] [,81] [,82] [,83] [,84] [,85] [,86] [,87] [,88] [1,] -3.396 -0.159 -2.646 -0.233 -0.145 -6.698 -16.537 -12.194 -7.218 -0.417 [2,] -3.396 -0.159 -2.646 -0.233 -0.145 -6.698 -16.537 -12.194 -7.218 -0.417 [,89] [,90] [,91] [,92] [,93] [,94] [,95] [,96] [,97] [,98] [,99] [1,] 22.461 18.403 -1.123 -5.088 1.742 -1.703 -0.029 -2.399 -2.179 0.791 -0.351 [2,] 22.461 18.403 -1.123 -5.088 1.742 -1.703 -0.029 -2.399 -2.179 0.791 -0.351 [,100] [,101] [,102] [,103] [,104] [,105] [,106] [,107] [,108] [,109] [1,] 2.795 -1.566 -2.072 -4.126 -1.924 -2.68 -0.447 0.264 1.988 -2.141 [2,] 2.795 -1.566 -2.072 -4.126 -1.924 -2.68 -0.447 0.264 1.988 -2.141 [,110] [,111] [,112] [,113] [,114] [,115] [,116] [,117] [,118] [,119] [1,] -7.749 -5.922 4.152 7.476 1.705 1.459 10.353 -1.154 1.445 -1.608 [2,] -7.749 -5.922 4.152 7.476 1.705 1.459 10.353 -1.154 1.445 -1.608 [,120] [,121] [,122] [,123] [,124] [,125] [,126] [,127] [,128] [,129] [1,] -1.073 -0.273 2.228 0.154 0.447 0.241 0.731 1.75 1.505 2.353 [2,] -1.073 -0.273 2.228 0.154 0.447 0.241 0.731 1.75 1.505 2.353 [,130] [,131] [,132] [,133] [,134] [,135] [,136] [,137] [,138] [,139] [1,] -2.594 1.407 -1.959 2.011 0.973 -2.659 -2.42 -2.148 -2.581 -0.082 [2,] -2.594 1.407 -1.959 2.011 0.973 -2.659 -2.42 -2.148 -2.581 -0.082 [,140] [,141] [,142] [,143] [,144] [,145] [,146] [,147] [,148] [,149] [1,] 0.215 -1.224 -2.24 -2.738 -3.097 -1.975 0.501 0.394 0.155 1.476 [2,] 0.215 -1.224 -2.24 -2.738 -3.097 -1.975 0.501 0.394 0.155 1.476 [,150] [,151] [,152] [,153] [,154] [,155] [,156] [,157] [,158] [,159] [1,] 0.012 0.378 -2.365 -1.49 -1.087 -0.658 1.874 -0.183 0.552 0.857 [2,] 0.012 0.378 -2.365 -1.49 -1.087 -0.658 1.874 -0.183 0.552 0.857 [,160] [,161] [,162] [,163] [,164] [,165] [,166] [,167] [,168] [,169] [1,] 1.509 0.966 -0.778 -2.159 -1.992 -0.929 0.313 0.552 -0.715 -0.704 [2,] 1.509 0.966 -0.778 -2.159 -1.992 -0.929 0.313 0.552 -0.715 -0.704 [,170] [,171] [,172] [,173] [,174] [,175] [,176] [,177] [1,] 0.932 -0.547 -1.199 0.295 2.09 1.146 1.375 -0.238 [2,] 0.932 -0.547 -1.199 0.295 2.09 1.146 1.375 -0.238 $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" [121] "121" "122" "123" "124" "125" "126" "127" "128" "129" "130" "131" "132" [133] "133" "134" "135" "136" "137" "138" "139" "140" "141" "142" "143" "144" [145] "145" "146" "147" "148" "149" "150" "151" "152" "153" "154" "155" "156" [157] "157" "158" "159" "160" "161" "162" "163" "164" "165" "166" "167" "168" [169] "169" "170" "171" "172" "173" "174" "175" "176" "177" > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/6x3361290677748.ps",horizontal=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] [1,] 43.654 61.712 [2,] 64.270 61.712 [3,] 74.179 61.712 [4,] 83.395 61.712 [5,] 101.851 61.712 $n [1] 177 1 $conf [,1] [,2] [1,] 71.90771 61.712 [2,] 76.45029 61.712 $out numeric(0) $group numeric(0) $names [1] "1" NA > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/7x3361290677748.ps",horizontal=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,] 43.654 43.654 43.654 [2,] 64.270 64.270 64.270 [3,] 74.179 74.179 74.179 [4,] 83.395 83.395 83.395 [5,] 101.851 101.851 101.851 $n [1] 177 177 177 $conf [,1] [,2] [,3] [1,] 71.90771 71.90771 71.90771 [2,] 76.45029 76.45029 76.45029 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" > dev.off() null device 1 > > try(system("convert tmp/1c3m01290677748.ps tmp/1c3m01290677748.png",intern=TRUE)) character(0) > try(system("convert tmp/2c3m01290677748.ps tmp/2c3m01290677748.png",intern=TRUE)) character(0) > try(system("convert tmp/3c3m01290677748.ps tmp/3c3m01290677748.png",intern=TRUE)) character(0) > try(system("convert tmp/45u4l1290677748.ps tmp/45u4l1290677748.png",intern=TRUE)) character(0) > try(system("convert tmp/55u4l1290677748.ps tmp/55u4l1290677748.png",intern=TRUE)) character(0) > try(system("convert tmp/6x3361290677748.ps tmp/6x3361290677748.png",intern=TRUE)) character(0) > try(system("convert tmp/7x3361290677748.ps tmp/7x3361290677748.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.758 1.045 4.072