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(131.676 + ,135.050 + ,129.070 + ,137.792 + ,139.762 + ,142.917 + ,144.198 + ,142.648 + ,152.170 + ,136.022 + ,138.142 + ,138.135 + ,135.027 + ,132.911 + ,133.976 + ,137.012 + ,119.610 + ,118.106 + ,120.383 + ,133.185 + ,131.416 + ,134.248 + ,134.397 + ,127.728 + ,131.837 + ,125.955 + ,134.187 + ,143.291 + ,145.074 + ,149.812 + ,144.668 + ,147.253 + ,145.568 + ,155.564 + ,155.872 + ,156.323 + ,158.010 + ,155.598 + ,154.785 + ,157.294 + ,162.938 + ,157.283 + ,166.074 + ,169.282 + ,172.552 + ,174.055 + ,175.409 + ,173.696 + ,171.283 + ,173.322 + ,170.717 + ,174.229 + ,175.339 + ,173.511 + ,175.839 + ,173.816 + ,173.990 + ,174.777 + ,174.819 + ,176.726 + ,176.199 + ,180.952 + ,176.663 + ,182.346 + ,180.605 + ,182.497 + ,187.856 + ,190.020 + ,190.108 + ,193.288 + ,193.230 + ,199.068 + ,195.076 + ,191.563 + ,191.067 + ,186.665 + ,185.508 + ,184.371 + ,183.046 + ,175.714 + ,175.768 + ,171.029 + ,170.465 + ,170.102 + ,156.389 + ,124.291 + ,99.360 + ,86.675 + ,85.056 + ,128.236 + ,164.257 + ,162.401 + ,152.779 + ,156.005 + ,153.387 + ,153.190 + ,148.840 + ,144.211 + ,145.953 + ,145.542 + ,150.271 + ,147.489 + ,143.824 + ,134.754 + ,131.736 + ,126.304 + ,125.511 + ,125.495 + ,130.133 + ,126.257 + ,110.323 + ,98.417 + ,105.749 + ,120.665 + ,124.075 + ,127.245 + ,146.731 + ,144.979 + ,148.210 + ,144.670 + ,142.970 + ,142.524 + ,146.142 + ,146.522 + ,148.128 + ,148.798 + ,150.181 + ,152.388 + ,155.694 + ,160.662 + ,155.520 + ,158.262 + ,154.338 + ,158.196 + ,160.371 + ,154.856 + ,150.636 + ,145.899 + ,141.242 + ,140.834 + ,141.119 + ,139.104 + ,134.437 + ,129.425 + ,123.155 + ,119.273 + ,120.472 + ,121.523 + ,121.983 + ,123.658 + ,124.794 + ,124.827 + ,120.382 + ,117.395 + ,115.790 + ,114.283 + ,117.271 + ,117.448 + ,118.764 + ,120.550 + ,123.554 + ,125.412 + ,124.182 + ,119.828 + ,115.361 + ,114.226 + ,115.214 + ,115.864 + ,114.276 + ,113.469 + ,114.883 + ,114.172 + ,111.225 + ,112.149 + ,115.618 + ,118.002 + ,121.382 + ,120.663) > par1 = '1' > #'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] 178 > 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] 178 > arr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [1,] 131.676 135.05 129.07 137.792 139.762 142.917 144.198 142.648 152.17 [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [1,] 136.022 138.142 138.135 135.027 132.911 133.976 137.012 119.61 118.106 [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [,27] [1,] 120.383 133.185 131.416 134.248 134.397 127.728 131.837 125.955 134.187 [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [1,] 143.291 145.074 149.812 144.668 147.253 145.568 155.564 155.872 156.323 [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [1,] 158.01 155.598 154.785 157.294 162.938 157.283 166.074 169.282 172.552 [,46] [,47] [,48] [,49] [,50] [,51] [,52] [,53] [,54] [1,] 174.055 175.409 173.696 171.283 173.322 170.717 174.229 175.339 173.511 [,55] [,56] [,57] [,58] [,59] [,60] [,61] [,62] [,63] [1,] 175.839 173.816 173.99 174.777 174.819 176.726 176.199 180.952 176.663 [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 182.346 180.605 182.497 187.856 190.02 190.108 193.288 193.23 199.068 [,73] [,74] [,75] [,76] [,77] [,78] [,79] [,80] [,81] [1,] 195.076 191.563 191.067 186.665 185.508 184.371 183.046 175.714 175.768 [,82] [,83] [,84] [,85] [,86] [,87] [,88] [,89] [,90] [1,] 171.029 170.465 170.102 156.389 124.291 99.36 86.675 85.056 128.236 [,91] [,92] [,93] [,94] [,95] [,96] [,97] [,98] [,99] [1,] 164.257 162.401 152.779 156.005 153.387 153.19 148.84 144.211 145.953 [,100] [,101] [,102] [,103] [,104] [,105] [,106] [,107] [,108] [1,] 145.542 150.271 147.489 143.824 134.754 131.736 126.304 125.511 125.495 [,109] [,110] [,111] [,112] [,113] [,114] [,115] [,116] [,117] [1,] 130.133 126.257 110.323 98.417 105.749 120.665 124.075 127.245 146.731 [,118] [,119] [,120] [,121] [,122] [,123] [,124] [,125] [,126] [1,] 144.979 148.21 144.67 142.97 142.524 146.142 146.522 148.128 148.798 [,127] [,128] [,129] [,130] [,131] [,132] [,133] [,134] [,135] [1,] 150.181 152.388 155.694 160.662 155.52 158.262 154.338 158.196 160.371 [,136] [,137] [,138] [,139] [,140] [,141] [,142] [,143] [,144] [1,] 154.856 150.636 145.899 141.242 140.834 141.119 139.104 134.437 129.425 [,145] [,146] [,147] [,148] [,149] [,150] [,151] [,152] [,153] [1,] 123.155 119.273 120.472 121.523 121.983 123.658 124.794 124.827 120.382 [,154] [,155] [,156] [,157] [,158] [,159] [,160] [,161] [,162] [1,] 117.395 115.79 114.283 117.271 117.448 118.764 120.55 123.554 125.412 [,163] [,164] [,165] [,166] [,167] [,168] [,169] [,170] [,171] [1,] 124.182 119.828 115.361 114.226 115.214 115.864 114.276 113.469 114.883 [,172] [,173] [,174] [,175] [,176] [,177] [,178] [,179] [1,] 114.172 111.225 112.149 115.618 118.002 121.382 120.663 NA > darr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [1,] 3.374 -5.98 8.722 1.97 3.155 1.281 -1.55 9.522 -16.148 2.12 -0.007 -3.108 [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [1,] -2.116 1.065 3.036 -17.402 -1.504 2.277 12.802 -1.769 2.832 0.149 -6.669 [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [1,] 4.109 -5.882 8.232 9.104 1.783 4.738 -5.144 2.585 -1.685 9.996 0.308 0.451 [,36] [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [1,] 1.687 -2.412 -0.813 2.509 5.644 -5.655 8.791 3.208 3.27 1.503 1.354 [,47] [,48] [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [1,] -1.713 -2.413 2.039 -2.605 3.512 1.11 -1.828 2.328 -2.023 0.174 0.787 [,58] [,59] [,60] [,61] [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [1,] 0.042 1.907 -0.527 4.753 -4.289 5.683 -1.741 1.892 5.359 2.164 0.088 3.18 [,70] [,71] [,72] [,73] [,74] [,75] [,76] [,77] [,78] [,79] [,80] [1,] -0.058 5.838 -3.992 -3.513 -0.496 -4.402 -1.157 -1.137 -1.325 -7.332 0.054 [,81] [,82] [,83] [,84] [,85] [,86] [,87] [,88] [,89] [,90] [1,] -4.739 -0.564 -0.363 -13.713 -32.098 -24.931 -12.685 -1.619 43.18 36.021 [,91] [,92] [,93] [,94] [,95] [,96] [,97] [,98] [,99] [,100] [,101] [1,] -1.856 -9.622 3.226 -2.618 -0.197 -4.35 -4.629 1.742 -0.411 4.729 -2.782 [,102] [,103] [,104] [,105] [,106] [,107] [,108] [,109] [,110] [,111] [1,] -3.665 -9.07 -3.018 -5.432 -0.793 -0.016 4.638 -3.876 -15.934 -11.906 [,112] [,113] [,114] [,115] [,116] [,117] [,118] [,119] [,120] [,121] [1,] 7.332 14.916 3.41 3.17 19.486 -1.752 3.231 -3.54 -1.7 -0.446 [,122] [,123] [,124] [,125] [,126] [,127] [,128] [,129] [,130] [,131] [1,] 3.618 0.38 1.606 0.67 1.383 2.207 3.306 4.968 -5.142 2.742 [,132] [,133] [,134] [,135] [,136] [,137] [,138] [,139] [,140] [,141] [1,] -3.924 3.858 2.175 -5.515 -4.22 -4.737 -4.657 -0.408 0.285 -2.015 [,142] [,143] [,144] [,145] [,146] [,147] [,148] [,149] [,150] [,151] [1,] -4.667 -5.012 -6.27 -3.882 1.199 1.051 0.46 1.675 1.136 0.033 [,152] [,153] [,154] [,155] [,156] [,157] [,158] [,159] [,160] [,161] [1,] -4.445 -2.987 -1.605 -1.507 2.988 0.177 1.316 1.786 3.004 1.858 [,162] [,163] [,164] [,165] [,166] [,167] [,168] [,169] [,170] [,171] [1,] -1.23 -4.354 -4.467 -1.135 0.988 0.65 -1.588 -0.807 1.414 -0.711 [,172] [,173] [,174] [,175] [,176] [,177] [,178] [,179] [1,] -2.947 0.924 3.469 2.384 3.38 -0.719 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/199p91301944089.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/2xzcv1301944089.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/3egch1301944089.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/4aob01301944089.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] [1,] 85.0560 [2,] 124.8270 [3,] 144.4395 [4,] 162.4010 [5,] 199.0680 $n [1] 178 $conf [,1] [1,] 139.9898 [2,] 148.8892 $out numeric(0) $group numeric(0) $names [1] "1" > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/5h6q71301944089.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] [1,] -9.622 [2,] -2.782 [3,] 0.042 [4,] 2.384 [5,] 9.996 $n [1] 177 $conf [,1] [1,] -0.5715145 [2,] 0.6555145 $out [1] -16.148 -17.402 12.802 -13.713 -32.098 -24.931 -12.685 43.180 36.021 [10] -15.934 -11.906 14.916 19.486 $group [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 $names [1] "1" > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/6ho4c1301944089.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > z <- data.frame(arr) > names(z) <- c(1:np) > (boxplot(z,notch=TRUE,col='grey',xlab='Block Index',ylab='Value',main='Notched Box Plots - Sequential Blocks')) $stats [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [1,] 131.676 135.05 129.07 137.792 139.762 142.917 144.198 142.648 152.17 [2,] 131.676 135.05 129.07 137.792 139.762 142.917 144.198 142.648 152.17 [3,] 131.676 135.05 129.07 137.792 139.762 142.917 144.198 142.648 152.17 [4,] 131.676 135.05 129.07 137.792 139.762 142.917 144.198 142.648 152.17 [5,] 131.676 135.05 129.07 137.792 139.762 142.917 144.198 142.648 152.17 [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [1,] 136.022 138.142 138.135 135.027 132.911 133.976 137.012 119.61 118.106 [2,] 136.022 138.142 138.135 135.027 132.911 133.976 137.012 119.61 118.106 [3,] 136.022 138.142 138.135 135.027 132.911 133.976 137.012 119.61 118.106 [4,] 136.022 138.142 138.135 135.027 132.911 133.976 137.012 119.61 118.106 [5,] 136.022 138.142 138.135 135.027 132.911 133.976 137.012 119.61 118.106 [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [,27] [1,] 120.383 133.185 131.416 134.248 134.397 127.728 131.837 125.955 134.187 [2,] 120.383 133.185 131.416 134.248 134.397 127.728 131.837 125.955 134.187 [3,] 120.383 133.185 131.416 134.248 134.397 127.728 131.837 125.955 134.187 [4,] 120.383 133.185 131.416 134.248 134.397 127.728 131.837 125.955 134.187 [5,] 120.383 133.185 131.416 134.248 134.397 127.728 131.837 125.955 134.187 [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [1,] 143.291 145.074 149.812 144.668 147.253 145.568 155.564 155.872 156.323 [2,] 143.291 145.074 149.812 144.668 147.253 145.568 155.564 155.872 156.323 [3,] 143.291 145.074 149.812 144.668 147.253 145.568 155.564 155.872 156.323 [4,] 143.291 145.074 149.812 144.668 147.253 145.568 155.564 155.872 156.323 [5,] 143.291 145.074 149.812 144.668 147.253 145.568 155.564 155.872 156.323 [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [1,] 158.01 155.598 154.785 157.294 162.938 157.283 166.074 169.282 172.552 [2,] 158.01 155.598 154.785 157.294 162.938 157.283 166.074 169.282 172.552 [3,] 158.01 155.598 154.785 157.294 162.938 157.283 166.074 169.282 172.552 [4,] 158.01 155.598 154.785 157.294 162.938 157.283 166.074 169.282 172.552 [5,] 158.01 155.598 154.785 157.294 162.938 157.283 166.074 169.282 172.552 [,46] [,47] [,48] [,49] [,50] [,51] [,52] [,53] [,54] [1,] 174.055 175.409 173.696 171.283 173.322 170.717 174.229 175.339 173.511 [2,] 174.055 175.409 173.696 171.283 173.322 170.717 174.229 175.339 173.511 [3,] 174.055 175.409 173.696 171.283 173.322 170.717 174.229 175.339 173.511 [4,] 174.055 175.409 173.696 171.283 173.322 170.717 174.229 175.339 173.511 [5,] 174.055 175.409 173.696 171.283 173.322 170.717 174.229 175.339 173.511 [,55] [,56] [,57] [,58] [,59] [,60] [,61] [,62] [,63] [1,] 175.839 173.816 173.99 174.777 174.819 176.726 176.199 180.952 176.663 [2,] 175.839 173.816 173.99 174.777 174.819 176.726 176.199 180.952 176.663 [3,] 175.839 173.816 173.99 174.777 174.819 176.726 176.199 180.952 176.663 [4,] 175.839 173.816 173.99 174.777 174.819 176.726 176.199 180.952 176.663 [5,] 175.839 173.816 173.99 174.777 174.819 176.726 176.199 180.952 176.663 [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 182.346 180.605 182.497 187.856 190.02 190.108 193.288 193.23 199.068 [2,] 182.346 180.605 182.497 187.856 190.02 190.108 193.288 193.23 199.068 [3,] 182.346 180.605 182.497 187.856 190.02 190.108 193.288 193.23 199.068 [4,] 182.346 180.605 182.497 187.856 190.02 190.108 193.288 193.23 199.068 [5,] 182.346 180.605 182.497 187.856 190.02 190.108 193.288 193.23 199.068 [,73] [,74] [,75] [,76] [,77] [,78] [,79] [,80] [,81] [1,] 195.076 191.563 191.067 186.665 185.508 184.371 183.046 175.714 175.768 [2,] 195.076 191.563 191.067 186.665 185.508 184.371 183.046 175.714 175.768 [3,] 195.076 191.563 191.067 186.665 185.508 184.371 183.046 175.714 175.768 [4,] 195.076 191.563 191.067 186.665 185.508 184.371 183.046 175.714 175.768 [5,] 195.076 191.563 191.067 186.665 185.508 184.371 183.046 175.714 175.768 [,82] [,83] [,84] [,85] [,86] [,87] [,88] [,89] [,90] [1,] 171.029 170.465 170.102 156.389 124.291 99.36 86.675 85.056 128.236 [2,] 171.029 170.465 170.102 156.389 124.291 99.36 86.675 85.056 128.236 [3,] 171.029 170.465 170.102 156.389 124.291 99.36 86.675 85.056 128.236 [4,] 171.029 170.465 170.102 156.389 124.291 99.36 86.675 85.056 128.236 [5,] 171.029 170.465 170.102 156.389 124.291 99.36 86.675 85.056 128.236 [,91] [,92] [,93] [,94] [,95] [,96] [,97] [,98] [,99] [1,] 164.257 162.401 152.779 156.005 153.387 153.19 148.84 144.211 145.953 [2,] 164.257 162.401 152.779 156.005 153.387 153.19 148.84 144.211 145.953 [3,] 164.257 162.401 152.779 156.005 153.387 153.19 148.84 144.211 145.953 [4,] 164.257 162.401 152.779 156.005 153.387 153.19 148.84 144.211 145.953 [5,] 164.257 162.401 152.779 156.005 153.387 153.19 148.84 144.211 145.953 [,100] [,101] [,102] [,103] [,104] [,105] [,106] [,107] [,108] [1,] 145.542 150.271 147.489 143.824 134.754 131.736 126.304 125.511 125.495 [2,] 145.542 150.271 147.489 143.824 134.754 131.736 126.304 125.511 125.495 [3,] 145.542 150.271 147.489 143.824 134.754 131.736 126.304 125.511 125.495 [4,] 145.542 150.271 147.489 143.824 134.754 131.736 126.304 125.511 125.495 [5,] 145.542 150.271 147.489 143.824 134.754 131.736 126.304 125.511 125.495 [,109] [,110] [,111] [,112] [,113] [,114] [,115] [,116] [,117] [1,] 130.133 126.257 110.323 98.417 105.749 120.665 124.075 127.245 146.731 [2,] 130.133 126.257 110.323 98.417 105.749 120.665 124.075 127.245 146.731 [3,] 130.133 126.257 110.323 98.417 105.749 120.665 124.075 127.245 146.731 [4,] 130.133 126.257 110.323 98.417 105.749 120.665 124.075 127.245 146.731 [5,] 130.133 126.257 110.323 98.417 105.749 120.665 124.075 127.245 146.731 [,118] [,119] [,120] [,121] [,122] [,123] [,124] [,125] [,126] [1,] 144.979 148.21 144.67 142.97 142.524 146.142 146.522 148.128 148.798 [2,] 144.979 148.21 144.67 142.97 142.524 146.142 146.522 148.128 148.798 [3,] 144.979 148.21 144.67 142.97 142.524 146.142 146.522 148.128 148.798 [4,] 144.979 148.21 144.67 142.97 142.524 146.142 146.522 148.128 148.798 [5,] 144.979 148.21 144.67 142.97 142.524 146.142 146.522 148.128 148.798 [,127] [,128] [,129] [,130] [,131] [,132] [,133] [,134] [,135] [1,] 150.181 152.388 155.694 160.662 155.52 158.262 154.338 158.196 160.371 [2,] 150.181 152.388 155.694 160.662 155.52 158.262 154.338 158.196 160.371 [3,] 150.181 152.388 155.694 160.662 155.52 158.262 154.338 158.196 160.371 [4,] 150.181 152.388 155.694 160.662 155.52 158.262 154.338 158.196 160.371 [5,] 150.181 152.388 155.694 160.662 155.52 158.262 154.338 158.196 160.371 [,136] [,137] [,138] [,139] [,140] [,141] [,142] [,143] [,144] [1,] 154.856 150.636 145.899 141.242 140.834 141.119 139.104 134.437 129.425 [2,] 154.856 150.636 145.899 141.242 140.834 141.119 139.104 134.437 129.425 [3,] 154.856 150.636 145.899 141.242 140.834 141.119 139.104 134.437 129.425 [4,] 154.856 150.636 145.899 141.242 140.834 141.119 139.104 134.437 129.425 [5,] 154.856 150.636 145.899 141.242 140.834 141.119 139.104 134.437 129.425 [,145] [,146] [,147] [,148] [,149] [,150] [,151] [,152] [,153] [1,] 123.155 119.273 120.472 121.523 121.983 123.658 124.794 124.827 120.382 [2,] 123.155 119.273 120.472 121.523 121.983 123.658 124.794 124.827 120.382 [3,] 123.155 119.273 120.472 121.523 121.983 123.658 124.794 124.827 120.382 [4,] 123.155 119.273 120.472 121.523 121.983 123.658 124.794 124.827 120.382 [5,] 123.155 119.273 120.472 121.523 121.983 123.658 124.794 124.827 120.382 [,154] [,155] [,156] [,157] [,158] [,159] [,160] [,161] [,162] [1,] 117.395 115.79 114.283 117.271 117.448 118.764 120.55 123.554 125.412 [2,] 117.395 115.79 114.283 117.271 117.448 118.764 120.55 123.554 125.412 [3,] 117.395 115.79 114.283 117.271 117.448 118.764 120.55 123.554 125.412 [4,] 117.395 115.79 114.283 117.271 117.448 118.764 120.55 123.554 125.412 [5,] 117.395 115.79 114.283 117.271 117.448 118.764 120.55 123.554 125.412 [,163] [,164] [,165] [,166] [,167] [,168] [,169] [,170] [,171] [1,] 124.182 119.828 115.361 114.226 115.214 115.864 114.276 113.469 114.883 [2,] 124.182 119.828 115.361 114.226 115.214 115.864 114.276 113.469 114.883 [3,] 124.182 119.828 115.361 114.226 115.214 115.864 114.276 113.469 114.883 [4,] 124.182 119.828 115.361 114.226 115.214 115.864 114.276 113.469 114.883 [5,] 124.182 119.828 115.361 114.226 115.214 115.864 114.276 113.469 114.883 [,172] [,173] [,174] [,175] [,176] [,177] [,178] [,179] [1,] 114.172 111.225 112.149 115.618 118.002 121.382 120.663 NA [2,] 114.172 111.225 112.149 115.618 118.002 121.382 120.663 NA [3,] 114.172 111.225 112.149 115.618 118.002 121.382 120.663 NA [4,] 114.172 111.225 112.149 115.618 118.002 121.382 120.663 NA [5,] 114.172 111.225 112.149 115.618 118.002 121.382 120.663 NA $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 1 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [1,] 131.676 135.05 129.07 137.792 139.762 142.917 144.198 142.648 152.17 [2,] 131.676 135.05 129.07 137.792 139.762 142.917 144.198 142.648 152.17 [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [1,] 136.022 138.142 138.135 135.027 132.911 133.976 137.012 119.61 118.106 [2,] 136.022 138.142 138.135 135.027 132.911 133.976 137.012 119.61 118.106 [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [,27] [1,] 120.383 133.185 131.416 134.248 134.397 127.728 131.837 125.955 134.187 [2,] 120.383 133.185 131.416 134.248 134.397 127.728 131.837 125.955 134.187 [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [1,] 143.291 145.074 149.812 144.668 147.253 145.568 155.564 155.872 156.323 [2,] 143.291 145.074 149.812 144.668 147.253 145.568 155.564 155.872 156.323 [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [1,] 158.01 155.598 154.785 157.294 162.938 157.283 166.074 169.282 172.552 [2,] 158.01 155.598 154.785 157.294 162.938 157.283 166.074 169.282 172.552 [,46] [,47] [,48] [,49] [,50] [,51] [,52] [,53] [,54] [1,] 174.055 175.409 173.696 171.283 173.322 170.717 174.229 175.339 173.511 [2,] 174.055 175.409 173.696 171.283 173.322 170.717 174.229 175.339 173.511 [,55] [,56] [,57] [,58] [,59] [,60] [,61] [,62] [,63] [1,] 175.839 173.816 173.99 174.777 174.819 176.726 176.199 180.952 176.663 [2,] 175.839 173.816 173.99 174.777 174.819 176.726 176.199 180.952 176.663 [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 182.346 180.605 182.497 187.856 190.02 190.108 193.288 193.23 199.068 [2,] 182.346 180.605 182.497 187.856 190.02 190.108 193.288 193.23 199.068 [,73] [,74] [,75] [,76] [,77] [,78] [,79] [,80] [,81] [1,] 195.076 191.563 191.067 186.665 185.508 184.371 183.046 175.714 175.768 [2,] 195.076 191.563 191.067 186.665 185.508 184.371 183.046 175.714 175.768 [,82] [,83] [,84] [,85] [,86] [,87] [,88] [,89] [,90] [1,] 171.029 170.465 170.102 156.389 124.291 99.36 86.675 85.056 128.236 [2,] 171.029 170.465 170.102 156.389 124.291 99.36 86.675 85.056 128.236 [,91] [,92] [,93] [,94] [,95] [,96] [,97] [,98] [,99] [1,] 164.257 162.401 152.779 156.005 153.387 153.19 148.84 144.211 145.953 [2,] 164.257 162.401 152.779 156.005 153.387 153.19 148.84 144.211 145.953 [,100] [,101] [,102] [,103] [,104] [,105] [,106] [,107] [,108] [1,] 145.542 150.271 147.489 143.824 134.754 131.736 126.304 125.511 125.495 [2,] 145.542 150.271 147.489 143.824 134.754 131.736 126.304 125.511 125.495 [,109] [,110] [,111] [,112] [,113] [,114] [,115] [,116] [,117] [1,] 130.133 126.257 110.323 98.417 105.749 120.665 124.075 127.245 146.731 [2,] 130.133 126.257 110.323 98.417 105.749 120.665 124.075 127.245 146.731 [,118] [,119] [,120] [,121] [,122] [,123] [,124] [,125] [,126] [1,] 144.979 148.21 144.67 142.97 142.524 146.142 146.522 148.128 148.798 [2,] 144.979 148.21 144.67 142.97 142.524 146.142 146.522 148.128 148.798 [,127] [,128] [,129] [,130] [,131] [,132] [,133] [,134] [,135] [1,] 150.181 152.388 155.694 160.662 155.52 158.262 154.338 158.196 160.371 [2,] 150.181 152.388 155.694 160.662 155.52 158.262 154.338 158.196 160.371 [,136] [,137] [,138] [,139] [,140] [,141] [,142] [,143] [,144] [1,] 154.856 150.636 145.899 141.242 140.834 141.119 139.104 134.437 129.425 [2,] 154.856 150.636 145.899 141.242 140.834 141.119 139.104 134.437 129.425 [,145] [,146] [,147] [,148] [,149] [,150] [,151] [,152] [,153] [1,] 123.155 119.273 120.472 121.523 121.983 123.658 124.794 124.827 120.382 [2,] 123.155 119.273 120.472 121.523 121.983 123.658 124.794 124.827 120.382 [,154] [,155] [,156] [,157] [,158] [,159] [,160] [,161] [,162] [1,] 117.395 115.79 114.283 117.271 117.448 118.764 120.55 123.554 125.412 [2,] 117.395 115.79 114.283 117.271 117.448 118.764 120.55 123.554 125.412 [,163] [,164] [,165] [,166] [,167] [,168] [,169] [,170] [,171] [1,] 124.182 119.828 115.361 114.226 115.214 115.864 114.276 113.469 114.883 [2,] 124.182 119.828 115.361 114.226 115.214 115.864 114.276 113.469 114.883 [,172] [,173] [,174] [,175] [,176] [,177] [,178] [,179] [1,] 114.172 111.225 112.149 115.618 118.002 121.382 120.663 NA [2,] 114.172 111.225 112.149 115.618 118.002 121.382 120.663 NA $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" "178" NA > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/70k161301944089.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,] 145.2148 144.4395 143.4698 [2,] 145.2148 144.4395 143.4698 [3,] 145.2148 144.4395 143.4698 [4,] 145.2148 144.4395 143.4698 [5,] 145.2148 144.4395 143.4698 $n [1] 1 1 1 $conf [,1] [,2] [,3] [1,] 145.2148 144.4395 143.4698 [2,] 145.2148 144.4395 143.4698 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" > dev.off() null device 1 > > try(system("convert tmp/199p91301944089.ps tmp/199p91301944089.png",intern=TRUE)) character(0) > try(system("convert tmp/2xzcv1301944089.ps tmp/2xzcv1301944089.png",intern=TRUE)) character(0) > try(system("convert tmp/3egch1301944089.ps tmp/3egch1301944089.png",intern=TRUE)) character(0) > try(system("convert tmp/4aob01301944089.ps tmp/4aob01301944089.png",intern=TRUE)) character(0) > try(system("convert tmp/5h6q71301944089.ps tmp/5h6q71301944089.png",intern=TRUE)) character(0) > try(system("convert tmp/6ho4c1301944089.ps tmp/6ho4c1301944089.png",intern=TRUE)) character(0) > try(system("convert tmp/70k161301944089.ps tmp/70k161301944089.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.670 1.060 2.762