R version 2.8.0 (2008-10-20) Copyright (C) 2008 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. Natural language support but running in an English locale 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) > par1 = '177' > #'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/freestat/rcomp/tmp/169xr1290612498.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/freestat/rcomp/tmp/269xr1290612498.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/freestat/rcomp/tmp/369xr1290612498.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/freestat/rcomp/tmp/4h0et1290612498.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/freestat/rcomp/tmp/5h0et1290612498.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/freestat/rcomp/tmp/6radx1290612498.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/freestat/rcomp/tmp/7radx1290612498.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/169xr1290612498.ps tmp/169xr1290612498.png",intern=TRUE)) character(0) > try(system("convert tmp/269xr1290612498.ps tmp/269xr1290612498.png",intern=TRUE)) character(0) > try(system("convert tmp/369xr1290612498.ps tmp/369xr1290612498.png",intern=TRUE)) character(0) > try(system("convert tmp/4h0et1290612498.ps tmp/4h0et1290612498.png",intern=TRUE)) character(0) > try(system("convert tmp/5h0et1290612498.ps tmp/5h0et1290612498.png",intern=TRUE)) character(0) > try(system("convert tmp/6radx1290612498.ps tmp/6radx1290612498.png",intern=TRUE)) character(0) > try(system("convert tmp/7radx1290612498.ps tmp/7radx1290612498.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.709 1.627 3.159