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(93.2 + ,96 + ,95.2 + ,77.1 + ,70.9 + ,64.8 + ,70.1 + ,77.3 + ,79.5 + ,100.6 + ,100.7 + ,107.1 + ,95.9 + ,82.8 + ,83.3 + ,80 + ,80.4 + ,67.5 + ,75.7 + ,71.1 + ,89.3 + ,101.1 + ,105.2 + ,114.1 + ,96.3 + ,84.4 + ,91.2 + ,81.9 + ,80.5 + ,70.4 + ,74.8 + ,75.9 + ,86.3 + ,98.7 + ,100.9 + ,113.8 + ,89.8 + ,84.4 + ,87.2 + ,85.6 + ,72 + ,69.2 + ,77.5 + ,78.1 + ,94.3 + ,97.7 + ,100.2 + ,116.4 + ,97.1 + ,93 + ,96 + ,80.5 + ,76.1 + ,69.9 + ,73.6 + ,92.6 + ,94.2 + ,93.5 + ,108.5 + ,109.4 + ,105.1 + ,92.5 + ,97.1 + ,81.4 + ,79.1 + ,72.1 + ,78.7 + ,87.1 + ,91.4 + ,109.9 + ,116.3 + ,113 + ,100 + ,84.8 + ,94.3 + ,87.1 + ,90.3 + ,72.4 + ,84.9 + ,92.7 + ,92.2 + ,114.9 + ,112.5 + ,118.3 + ,106 + ,91.2 + ,96.6 + ,96.3 + ,88.2 + ,70.2 + ,86.5 + ,88.2 + ,102.8 + ,119.1 + ,119.2 + ,125.1 + ,106.1 + ,102.1 + ,105.2 + ,101 + ,84.3 + ,87.5 + ,92.7 + ,94.4 + ,113 + ,113.9 + ,122.9 + ,132.7 + ,106.9 + ,96.6 + ,127.3 + ,98.2 + ,100.2 + ,89.4 + ,95.3 + ,104.2 + ,106.4 + ,116.2 + ,135.9 + ,134 + ,104.6 + ,107.1 + ,123.5 + ,98.8 + ,98.6 + ,90.6 + ,89.1 + ,105.2 + ,114 + ,122.1 + ,138 + ,142.2 + ,116.4 + ,112.6 + ,123.8 + ,103.6 + ,113.9 + ,98.6 + ,95 + ,116 + ,113.9 + ,127.5 + ,131.4 + ,145.9 + ,131.5 + ,131 + ,130.5 + ,118.9 + ,114.3 + ,85.7 + ,104.6 + ,105.1 + ,117.3 + ,142.5 + ,140 + ,159.8 + ,131.2 + ,125.4 + ,126.5 + ,119.4 + ,113.5 + ,98.7 + ,114.5 + ,113.8 + ,133.1 + ,143.4 + ,137.3 + ,165.2 + ,126.9 + ,124 + ,135.7 + ,130 + ,109.4 + ,117.8 + ,120.3 + ,121 + ,132.3 + ,142.9 + ,147.4 + ,175.9 + ,132.6 + ,123.7 + ,153.3 + ,134 + ,119.6 + ,116.2 + ,118.6 + ,130.7 + ,129.3 + ,144.4 + ,163.2 + ,179.4 + ,128.1 + ,138.4 + ,152.7 + ,120 + ,140.5 + ,116.2 + ,121.4 + ,127.8 + ,143.6 + ,157.6 + ,166.2 + ,182.3 + ,153.1 + ,147.6 + ,157.7 + ,137.2 + ,151.5 + ,98.7 + ,145.8 + ,151.7 + ,129.4 + ,174.1 + ,197 + ,193.9 + ,164.1 + ,142.8 + ,157.9 + ,159.2 + ,162.2 + ,123.1 + ,130 + ,150.1 + ,169.4 + ,179.7 + ,182.1 + ,194.3 + ,161.4 + ,169.4 + ,168.8 + ,158.1 + ,158.5 + ,135.3 + ,149.3 + ,143.4 + ,142.2 + ,188.4 + ,166.2 + ,199.2 + ,182.7 + ,145.2 + ,182.1 + ,158.7 + ,141.6 + ,132.6 + ,139.6 + ,147 + ,166.6 + ,157 + ,180.4 + ,210.2 + ,159.8 + ,157.8 + ,168.2 + ,158.4 + ,152 + ,142.2 + ,137.2 + ,152.6 + ,166.8 + ,165.6 + ,198.6 + ,201.5 + ,170.7 + ,164.4 + ,179.7 + ,157 + ,168 + ,139.3 + ,138.6 + ,153.4 + ,138.9 + ,172.1 + ,198.4 + ,217.8 + ,173.7 + ,153.8 + ,175.6 + ,147.1 + ,160.3 + ,135.2 + ,148.8 + ,151 + ,148.2 + ,182.2 + ,189.2 + ,183.1 + ,170 + ,158.4 + ,176.1 + ,156.2 + ,153.2 + ,117.9 + ,149.8 + ,156.6 + ,166.7 + ,156.8 + ,158.6 + ,210.8 + ,203.6 + ,175.2 + ,168.7 + ,155.9 + ,147.3 + ,137 + ,141.1 + ,167.4 + ,160.2 + ,191.9 + ,174.4 + ,208.2 + ,159.4 + ,161.1 + ,172.1 + ,158.4 + ,114.6 + ,159.6 + ,159.7 + ,159.4 + ,160.7 + ,165.5 + ,205 + ,205.2 + ,141.6 + ,148.1 + ,184.9 + ,132.5 + ,137.3 + ,135.5 + ,121.7 + ,166.1 + ,146.8 + ,162.8 + ,186.8 + ,185.5 + ,151.5 + ,158.1 + ,143 + ,151.2 + ,147.6 + ,130.7 + ,137.5 + ,146.1 + ,133.6 + ,167.9 + ,181.9 + ,202 + ,166.5 + ,151.3 + ,146.2 + ,148.3 + ,144.7 + ,123.6 + ,151.6 + ,133.9 + ,137.4 + ,181.6 + ,182 + ,190 + ,161.2 + ,155.5 + ,141.9 + ,164.6 + ,136.2 + ,126.8 + ,152.5 + ,126.6 + ,150.1 + ,186.3 + ,147.5 + ,200.4 + ,177.2 + ,127.4 + ,177.1 + ,154.4 + ,135.2 + ,126.4 + ,147.3 + ,140.6 + ,152.3 + ,151.2 + ,172.2 + ,215.3 + ,154.1 + ,159.3 + ,160.4 + ,151.9 + ,148.4 + ,139.6 + ,148.2 + ,153.5 + ,145.1 + ,183.7 + ,210.5 + ,203.3 + ,153.3 + ,144.3 + ,169.6 + ,143.7 + ,160.1 + ,135.6 + ,141.8 + ,159.9 + ,145.7 + ,183.5 + ,198.2 + ,186.8 + ,172 + ,150.6 + ,163.3 + ,153.7 + ,152.9 + ,135.5 + ,148.5 + ,148.4 + ,133.6 + ,194.1 + ,208.6 + ,197.3 + ,164.4 + ,148.1 + ,152 + ,144.1 + ,155 + ,124.5 + ,153 + ,146 + ,138 + ,190 + ,192 + ,192 + ,147 + ,133 + ,163 + ,150 + ,129 + ,131 + ,145 + ,137 + ,138 + ,168 + ,176 + ,188 + ,139 + ,143 + ,150 + ,154 + ,137 + ,129 + ,128 + ,140 + ,143 + ,151 + ,177 + ,184 + ,151 + ,134 + ,164 + ,126 + ,131 + ,125 + ,127 + ,143 + ,143 + ,160 + ,190 + ,182 + ,138 + ,136 + ,152 + ,127 + ,151 + ,130 + ,119 + ,153) > par1 = '12' > #'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] 476 > (np <- floor(n / par1)) [1] 39 > arr <- array(NA,dim=c(par1,np+1)) > ari <- array(0,dim=par1) > j <- 0 > for (i in 1:n) + { + j = j + 1 + ari[j] = ari[j] + 1 + arr[j,ari[j]] <- x[i] + if (j == par1) j = 0 + } > ari [1] 40 40 40 40 40 40 40 40 39 39 39 39 > arr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [1,] 93.2 95.9 96.3 89.8 97.1 105.1 100.0 106.0 106.1 106.9 104.6 116.4 [2,] 96.0 82.8 84.4 84.4 93.0 92.5 84.8 91.2 102.1 96.6 107.1 112.6 [3,] 95.2 83.3 91.2 87.2 96.0 97.1 94.3 96.6 105.2 127.3 123.5 123.8 [4,] 77.1 80.0 81.9 85.6 80.5 81.4 87.1 96.3 101.0 98.2 98.8 103.6 [5,] 70.9 80.4 80.5 72.0 76.1 79.1 90.3 88.2 84.3 100.2 98.6 113.9 [6,] 64.8 67.5 70.4 69.2 69.9 72.1 72.4 70.2 87.5 89.4 90.6 98.6 [7,] 70.1 75.7 74.8 77.5 73.6 78.7 84.9 86.5 92.7 95.3 89.1 95.0 [8,] 77.3 71.1 75.9 78.1 92.6 87.1 92.7 88.2 94.4 104.2 105.2 116.0 [9,] 79.5 89.3 86.3 94.3 94.2 91.4 92.2 102.8 113.0 106.4 114.0 113.9 [10,] 100.6 101.1 98.7 97.7 93.5 109.9 114.9 119.1 113.9 116.2 122.1 127.5 [11,] 100.7 105.2 100.9 100.2 108.5 116.3 112.5 119.2 122.9 135.9 138.0 131.4 [12,] 107.1 114.1 113.8 116.4 109.4 113.0 118.3 125.1 132.7 134.0 142.2 145.9 [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 131.5 131.2 126.9 132.6 128.1 153.1 164.1 161.4 182.7 159.8 170.7 173.7 [2,] 131.0 125.4 124.0 123.7 138.4 147.6 142.8 169.4 145.2 157.8 164.4 153.8 [3,] 130.5 126.5 135.7 153.3 152.7 157.7 157.9 168.8 182.1 168.2 179.7 175.6 [4,] 118.9 119.4 130.0 134.0 120.0 137.2 159.2 158.1 158.7 158.4 157.0 147.1 [5,] 114.3 113.5 109.4 119.6 140.5 151.5 162.2 158.5 141.6 152.0 168.0 160.3 [6,] 85.7 98.7 117.8 116.2 116.2 98.7 123.1 135.3 132.6 142.2 139.3 135.2 [7,] 104.6 114.5 120.3 118.6 121.4 145.8 130.0 149.3 139.6 137.2 138.6 148.8 [8,] 105.1 113.8 121.0 130.7 127.8 151.7 150.1 143.4 147.0 152.6 153.4 151.0 [9,] 117.3 133.1 132.3 129.3 143.6 129.4 169.4 142.2 166.6 166.8 138.9 148.2 [10,] 142.5 143.4 142.9 144.4 157.6 174.1 179.7 188.4 157.0 165.6 172.1 182.2 [11,] 140.0 137.3 147.4 163.2 166.2 197.0 182.1 166.2 180.4 198.6 198.4 189.2 [12,] 159.8 165.2 175.9 179.4 182.3 193.9 194.3 199.2 210.2 201.5 217.8 183.1 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [1,] 170.0 203.6 159.4 141.6 151.5 166.5 161.2 177.2 154.1 153.3 172.0 164.4 [2,] 158.4 175.2 161.1 148.1 158.1 151.3 155.5 127.4 159.3 144.3 150.6 148.1 [3,] 176.1 168.7 172.1 184.9 143.0 146.2 141.9 177.1 160.4 169.6 163.3 152.0 [4,] 156.2 155.9 158.4 132.5 151.2 148.3 164.6 154.4 151.9 143.7 153.7 144.1 [5,] 153.2 147.3 114.6 137.3 147.6 144.7 136.2 135.2 148.4 160.1 152.9 155.0 [6,] 117.9 137.0 159.6 135.5 130.7 123.6 126.8 126.4 139.6 135.6 135.5 124.5 [7,] 149.8 141.1 159.7 121.7 137.5 151.6 152.5 147.3 148.2 141.8 148.5 153.0 [8,] 156.6 167.4 159.4 166.1 146.1 133.9 126.6 140.6 153.5 159.9 148.4 146.0 [9,] 166.7 160.2 160.7 146.8 133.6 137.4 150.1 152.3 145.1 145.7 133.6 138.0 [10,] 156.8 191.9 165.5 162.8 167.9 181.6 186.3 151.2 183.7 183.5 194.1 190.0 [11,] 158.6 174.4 205.0 186.8 181.9 182.0 147.5 172.2 210.5 198.2 208.6 192.0 [12,] 210.8 208.2 205.2 185.5 202.0 190.0 200.4 215.3 203.3 186.8 197.3 192.0 [,37] [,38] [,39] [,40] [1,] 147 139 151 138 [2,] 133 143 134 136 [3,] 163 150 164 152 [4,] 150 154 126 127 [5,] 129 137 131 151 [6,] 131 129 125 130 [7,] 145 128 127 119 [8,] 137 140 143 153 [9,] 138 143 143 NA [10,] 168 151 160 NA [11,] 176 177 190 NA [12,] 188 184 182 NA > arr.sd <- array(NA,dim=par1) > arr.range <- array(NA,dim=par1) > arr.iqr <- array(NA,dim=par1) > for (j in 1:par1) + { + arr.sd[j] <- sqrt(var(arr[j,],na.rm=TRUE)) + arr.range[j] <- max(arr[j,],na.rm=TRUE) - min(arr[j,],na.rm=TRUE) + arr.iqr[j] <- quantile(arr[j,],0.75,na.rm=TRUE) - quantile(arr[j,],0.25,na.rm=TRUE) + } > overall.sd <- sqrt(var(x)) > overall.range <- max(x) - min(x) > overall.iqr <- quantile(x,0.75) - quantile(x,0.25) > postscript(file="/var/www/html/rcomp/tmp/1ab981274903093.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.sd,type='b',ylab='S.D.',main='Standard Deviation Plot',xlab='Periodic Index') > mtext(paste('# blocks = ',np)) > abline(overall.sd,0) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2ab981274903093.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.range,type='b',ylab='range',main='Range Plot',xlab='Periodic Index') > mtext(paste('# blocks = ',np)) > abline(overall.range,0) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/32kqt1274903093.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.iqr,type='b',ylab='IQR',main='Interquartile Range Plot',xlab='Periodic Index') > mtext(paste('# blocks = ',np)) > abline(overall.iqr,0) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/42kqt1274903093.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] [,11] [1,] 89.80 82.80 83.30 77.1 70.90 64.80 70.10 71.10 79.50 93.5 100.20 [2,] 106.50 104.60 123.65 99.9 99.40 88.45 93.85 104.65 113.45 120.6 133.65 [3,] 144.30 137.20 152.00 135.6 135.70 123.35 127.50 138.50 137.40 157.0 166.20 [4,] 162.75 152.55 168.45 154.2 151.25 133.90 146.55 151.35 146.25 176.9 188.00 [5,] 203.60 175.20 184.90 164.6 168.00 159.60 159.70 167.40 169.40 194.1 210.50 [,12] [1,] 107.1 [2,] 138.1 [3,] 184.0 [4,] 199.8 [5,] 217.8 $n [1] 40 40 40 40 40 40 40 40 39 39 39 39 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 130.2476 125.2211 140.8081 122.0348 122.7468 111.9957 114.3345 126.8334 [2,] 158.3524 149.1789 163.1919 149.1652 148.6532 134.7043 140.6655 150.1666 [,9] [,10] [,11] [,12] [1,] 129.1015 142.7560 152.4493 168.3897 [2,] 145.6985 171.2440 179.9507 199.6103 $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(89.8, 106.5, 144.3, 162.75, 203.6, 82.8, 104.6, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/52kqt1274903093.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] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] 64.80 67.50 70.40 69.2 69.90 72.10 72.40 70.20 84.30 89.40 [2,] 74.00 77.85 78.20 77.8 78.30 80.25 86.00 88.20 93.55 97.40 [3,] 86.35 83.05 85.35 86.4 93.25 91.95 92.45 96.45 103.65 105.30 [4,] 98.30 98.50 97.50 96.0 96.55 107.50 106.25 112.55 113.45 121.75 [5,] 107.10 114.10 113.80 116.4 109.40 116.30 118.30 125.10 132.70 135.90 [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [1,] 89.10 95.00 85.70 98.70 109.40 116.20 116.20 129.4 123.10 135.30 [2,] 98.70 108.10 109.70 114.15 120.65 121.65 124.60 141.5 146.45 146.35 [3,] 106.15 114.95 124.70 125.95 128.45 131.65 139.45 151.6 160.70 159.95 [4,] 122.80 125.65 135.75 135.20 139.30 148.85 155.15 165.9 174.55 169.10 [5,] 142.20 145.90 159.80 165.20 147.40 179.40 182.30 197.0 194.30 199.20 [,21] [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [1,] 132.60 137.2 138.60 135.20 149.80 137.00 158.4 121.70 130.70 123.60 126.60 [2,] 143.40 152.3 146.35 148.50 154.70 151.60 159.4 136.40 140.25 141.05 139.05 [3,] 157.85 159.1 166.20 157.05 157.60 168.05 160.2 147.45 149.40 149.80 151.30 [4,] 181.25 167.5 175.90 178.90 168.35 183.55 168.8 175.50 163.00 174.05 162.90 [5,] 210.20 168.2 217.80 189.20 176.10 208.20 172.1 186.80 181.90 190.00 186.30 [,32] [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [1,] 126.40 139.60 135.60 133.60 124.50 129.0 128.0 125 119.0 [2,] 137.90 148.30 144.00 148.45 145.05 135.0 138.0 129 128.5 [3,] 151.75 153.80 156.60 153.30 152.50 146.0 143.0 143 137.0 [4,] 174.65 172.05 176.55 183.05 177.20 165.5 152.5 162 151.5 [5,] 215.30 203.30 198.20 208.60 192.00 188.0 154.0 190 153.0 $n [1] 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 [26] 12 12 12 12 12 12 12 12 12 12 12 12 12 12 8 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 75.2666 73.6314 76.54714 78.09886 84.92605 79.5211 83.21384 85.3438 [2,] 97.4334 92.4686 94.15286 94.70114 101.57395 104.3789 101.68616 107.5562 [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [1,] 94.57348 94.1938 95.15783 106.9453 112.8184 116.3490 119.9436 119.2439 [2,] 112.72652 116.4062 117.14217 122.9547 136.5816 135.5510 136.9564 144.0561 [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 125.5159 140.471 147.8834 149.5736 140.5864 152.1672 152.7220 143.1844 [2,] 153.3841 162.729 173.5166 170.3264 175.1136 166.0328 179.6780 170.9156 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [1,] 151.3741 153.4774 155.9126 129.6162 139.0236 134.7485 140.4219 134.9881 [2,] 163.8259 182.6226 164.4874 165.2838 159.7764 164.8515 162.1781 168.5119 [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [1,] 142.9675 141.7537 137.5187 137.8362 132.0887 136.3865 127.9485 124.1519 [2,] 164.6325 171.4463 169.0813 167.1638 159.9113 149.6135 158.0515 149.8481 $out [1] 175.9 98.7 198.6 201.5 117.9 210.8 114.6 205.0 205.2 202.0 200.4 210.5 [13] 177.0 184.0 $group [1] 15 18 22 22 25 25 27 27 27 29 31 33 38 38 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" "13" "14" "15" [16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30" [31] "31" "32" "33" "34" "35" "36" "37" "38" "39" NA Warning message: In bxp(list(stats = c(64.8, 74, 86.35, 98.3, 107.1, 67.5, 77.85, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/6dt7w1274903093.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > z <- data.frame(cbind(arr.sd,arr.range,arr.iqr)) > names(z) <- list('S.D.','Range','IQR') > (boxplot(z,notch=TRUE,col='grey',ylab='Overall Variability',main='Notched Box Plots')) $stats [,1] [,2] [,3] [1,] 25.26548 87.50 32.8000 [2,] 27.89334 91.15 45.3375 [3,] 29.36898 96.70 51.5375 [4,] 31.05228 105.95 54.8625 [5,] 35.70846 113.80 61.7000 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] 27.92817 89.94962 47.19308 [2,] 30.80979 103.45038 55.88192 $out numeric(0) $group numeric(0) $names [1] "S.D." "Range" "IQR" Warning message: In bxp(list(stats = c(25.2654794817216, 27.8933364375957, 29.3689796660418, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > try(system("convert tmp/1ab981274903093.ps tmp/1ab981274903093.png",intern=TRUE)) character(0) > try(system("convert tmp/2ab981274903093.ps tmp/2ab981274903093.png",intern=TRUE)) character(0) > try(system("convert tmp/32kqt1274903093.ps tmp/32kqt1274903093.png",intern=TRUE)) character(0) > try(system("convert tmp/42kqt1274903093.ps tmp/42kqt1274903093.png",intern=TRUE)) character(0) > try(system("convert tmp/52kqt1274903093.ps tmp/52kqt1274903093.png",intern=TRUE)) character(0) > try(system("convert tmp/6dt7w1274903093.ps tmp/6dt7w1274903093.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.144 0.828 1.984