R version 2.15.2 (2012-10-26) -- "Trick or Treat" Copyright (C) 2012 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i686-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(45.3,49.9,53.8,55.1,52.9,53.5,53.8,52,48.2,45.5,45.7,52.5,52.3,54.8,54.7,54.9,54.9,64.2,66.4,69.1,68.3,77.3,89.6,93,96.1,131.3,125.3,126,138.3,163,182.5,164.6,148.8,109.3,93.5,80.2,84,75.5,62.4,64.2,64.7,71,73.7,72.6,68.1,72.3,78.5,81.9,97.8,93.1,94.2,101.1,101,99.7,97.1,91.7,95,98.9,109,121.9,131.5,128.5,128.4,126.4,123.1,123,123.3,123.6,124.9,120.4,114.9,113.4) > par1 = '72' > par1 <- '72' > #'GNU S' R Code compiled by R2WASP v. 1.2.291 () > #Author: root > #To cite this work: Wessa P., (2012), Mean Plot (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_meanplot.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > # > par1 <- as.numeric(par1) > (n <- length(x)) [1] 72 > (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] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [39] 1 1 1 1 1 1 1 1 1 1 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,] 45.3 NA [2,] 49.9 NA [3,] 53.8 NA [4,] 55.1 NA [5,] 52.9 NA [6,] 53.5 NA [7,] 53.8 NA [8,] 52.0 NA [9,] 48.2 NA [10,] 45.5 NA [11,] 45.7 NA [12,] 52.5 NA [13,] 52.3 NA [14,] 54.8 NA [15,] 54.7 NA [16,] 54.9 NA [17,] 54.9 NA [18,] 64.2 NA [19,] 66.4 NA [20,] 69.1 NA [21,] 68.3 NA [22,] 77.3 NA [23,] 89.6 NA [24,] 93.0 NA [25,] 96.1 NA [26,] 131.3 NA [27,] 125.3 NA [28,] 126.0 NA [29,] 138.3 NA [30,] 163.0 NA [31,] 182.5 NA [32,] 164.6 NA [33,] 148.8 NA [34,] 109.3 NA [35,] 93.5 NA [36,] 80.2 NA [37,] 84.0 NA [38,] 75.5 NA [39,] 62.4 NA [40,] 64.2 NA [41,] 64.7 NA [42,] 71.0 NA [43,] 73.7 NA [44,] 72.6 NA [45,] 68.1 NA [46,] 72.3 NA [47,] 78.5 NA [48,] 81.9 NA [49,] 97.8 NA [50,] 93.1 NA [51,] 94.2 NA [52,] 101.1 NA [53,] 101.0 NA [54,] 99.7 NA [55,] 97.1 NA [56,] 91.7 NA [57,] 95.0 NA [58,] 98.9 NA [59,] 109.0 NA [60,] 121.9 NA [61,] 131.5 NA [62,] 128.5 NA [63,] 128.4 NA [64,] 126.4 NA [65,] 123.1 NA [66,] 123.0 NA [67,] 123.3 NA [68,] 123.6 NA [69,] 124.9 NA [70,] 120.4 NA [71,] 114.9 NA [72,] 113.4 NA > darr [,1] [,2] [1,] 4.6 NA [2,] 3.9 NA [3,] 1.3 NA [4,] -2.2 NA [5,] 0.6 NA [6,] 0.3 NA [7,] -1.8 NA [8,] -3.8 NA [9,] -2.7 NA [10,] 0.2 NA [11,] 6.8 NA [12,] -0.2 NA [13,] 2.5 NA [14,] -0.1 NA [15,] 0.2 NA [16,] 0.0 NA [17,] 9.3 NA [18,] 2.2 NA [19,] 2.7 NA [20,] -0.8 NA [21,] 9.0 NA [22,] 12.3 NA [23,] 3.4 NA [24,] 3.1 NA [25,] 35.2 NA [26,] -6.0 NA [27,] 0.7 NA [28,] 12.3 NA [29,] 24.7 NA [30,] 19.5 NA [31,] -17.9 NA [32,] -15.8 NA [33,] -39.5 NA [34,] -15.8 NA [35,] -13.3 NA [36,] 3.8 NA [37,] -8.5 NA [38,] -13.1 NA [39,] 1.8 NA [40,] 0.5 NA [41,] 6.3 NA [42,] 2.7 NA [43,] -1.1 NA [44,] -4.5 NA [45,] 4.2 NA [46,] 6.2 NA [47,] 3.4 NA [48,] 15.9 NA [49,] -4.7 NA [50,] 1.1 NA [51,] 6.9 NA [52,] -0.1 NA [53,] -1.3 NA [54,] -2.6 NA [55,] -5.4 NA [56,] 3.3 NA [57,] 3.9 NA [58,] 10.1 NA [59,] 12.9 NA [60,] 9.6 NA [61,] -3.0 NA [62,] -0.1 NA [63,] -2.0 NA [64,] -3.3 NA [65,] -0.1 NA [66,] 0.3 NA [67,] 0.3 NA [68,] 1.3 NA [69,] -4.5 NA [70,] -5.5 NA [71,] -1.5 NA [72,] 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/fisher/rcomp/tmp/1kp1d1356607940.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/fisher/rcomp/tmp/24pyz1356607940.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/fisher/rcomp/tmp/3h5281356607940.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/fisher/rcomp/tmp/4ulym1356607940.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > z <- data.frame(t(arr)) > names(z) <- c(1:par1) > (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Periodic Subseries')) $stats [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14] [1,] 45.3 49.9 53.8 55.1 52.9 53.5 53.8 52 48.2 45.5 45.7 52.5 52.3 54.8 [2,] 45.3 49.9 53.8 55.1 52.9 53.5 53.8 52 48.2 45.5 45.7 52.5 52.3 54.8 [3,] 45.3 49.9 53.8 55.1 52.9 53.5 53.8 52 48.2 45.5 45.7 52.5 52.3 54.8 [4,] 45.3 49.9 53.8 55.1 52.9 53.5 53.8 52 48.2 45.5 45.7 52.5 52.3 54.8 [5,] 45.3 49.9 53.8 55.1 52.9 53.5 53.8 52 48.2 45.5 45.7 52.5 52.3 54.8 [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [1,] 54.7 54.9 54.9 64.2 66.4 69.1 68.3 77.3 89.6 93 96.1 131.3 [2,] 54.7 54.9 54.9 64.2 66.4 69.1 68.3 77.3 89.6 93 96.1 131.3 [3,] 54.7 54.9 54.9 64.2 66.4 69.1 68.3 77.3 89.6 93 96.1 131.3 [4,] 54.7 54.9 54.9 64.2 66.4 69.1 68.3 77.3 89.6 93 96.1 131.3 [5,] 54.7 54.9 54.9 64.2 66.4 69.1 68.3 77.3 89.6 93 96.1 131.3 [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [,38] [1,] 125.3 126 138.3 163 182.5 164.6 148.8 109.3 93.5 80.2 84 75.5 [2,] 125.3 126 138.3 163 182.5 164.6 148.8 109.3 93.5 80.2 84 75.5 [3,] 125.3 126 138.3 163 182.5 164.6 148.8 109.3 93.5 80.2 84 75.5 [4,] 125.3 126 138.3 163 182.5 164.6 148.8 109.3 93.5 80.2 84 75.5 [5,] 125.3 126 138.3 163 182.5 164.6 148.8 109.3 93.5 80.2 84 75.5 [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50] [1,] 62.4 64.2 64.7 71 73.7 72.6 68.1 72.3 78.5 81.9 97.8 93.1 [2,] 62.4 64.2 64.7 71 73.7 72.6 68.1 72.3 78.5 81.9 97.8 93.1 [3,] 62.4 64.2 64.7 71 73.7 72.6 68.1 72.3 78.5 81.9 97.8 93.1 [4,] 62.4 64.2 64.7 71 73.7 72.6 68.1 72.3 78.5 81.9 97.8 93.1 [5,] 62.4 64.2 64.7 71 73.7 72.6 68.1 72.3 78.5 81.9 97.8 93.1 [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [,62] [1,] 94.2 101.1 101 99.7 97.1 91.7 95 98.9 109 121.9 131.5 128.5 [2,] 94.2 101.1 101 99.7 97.1 91.7 95 98.9 109 121.9 131.5 128.5 [3,] 94.2 101.1 101 99.7 97.1 91.7 95 98.9 109 121.9 131.5 128.5 [4,] 94.2 101.1 101 99.7 97.1 91.7 95 98.9 109 121.9 131.5 128.5 [5,] 94.2 101.1 101 99.7 97.1 91.7 95 98.9 109 121.9 131.5 128.5 [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 128.4 126.4 123.1 123 123.3 123.6 124.9 120.4 114.9 113.4 [2,] 128.4 126.4 123.1 123 123.3 123.6 124.9 120.4 114.9 113.4 [3,] 128.4 126.4 123.1 123 123.3 123.6 124.9 120.4 114.9 113.4 [4,] 128.4 126.4 123.1 123 123.3 123.6 124.9 120.4 114.9 113.4 [5,] 128.4 126.4 123.1 123 123.3 123.6 124.9 120.4 114.9 113.4 $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 1 [39] 1 1 1 1 1 1 1 1 1 1 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] [,12] [,13] [,14] [1,] 45.3 49.9 53.8 55.1 52.9 53.5 53.8 52 48.2 45.5 45.7 52.5 52.3 54.8 [2,] 45.3 49.9 53.8 55.1 52.9 53.5 53.8 52 48.2 45.5 45.7 52.5 52.3 54.8 [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [1,] 54.7 54.9 54.9 64.2 66.4 69.1 68.3 77.3 89.6 93 96.1 131.3 [2,] 54.7 54.9 54.9 64.2 66.4 69.1 68.3 77.3 89.6 93 96.1 131.3 [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [,38] [1,] 125.3 126 138.3 163 182.5 164.6 148.8 109.3 93.5 80.2 84 75.5 [2,] 125.3 126 138.3 163 182.5 164.6 148.8 109.3 93.5 80.2 84 75.5 [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50] [1,] 62.4 64.2 64.7 71 73.7 72.6 68.1 72.3 78.5 81.9 97.8 93.1 [2,] 62.4 64.2 64.7 71 73.7 72.6 68.1 72.3 78.5 81.9 97.8 93.1 [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [,62] [1,] 94.2 101.1 101 99.7 97.1 91.7 95 98.9 109 121.9 131.5 128.5 [2,] 94.2 101.1 101 99.7 97.1 91.7 95 98.9 109 121.9 131.5 128.5 [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 128.4 126.4 123.1 123 123.3 123.6 124.9 120.4 114.9 113.4 [2,] 128.4 126.4 123.1 123 123.3 123.6 124.9 120.4 114.9 113.4 $out numeric(0) $group numeric(0) $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" "40" "41" "42" "43" "44" "45" [46] "46" "47" "48" "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" > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/5pfux1356607940.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > z <- data.frame(t(darr)) > names(z) <- c(1:par1) > (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced Periodic Subseries')) $stats [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14] [1,] 4.6 3.9 1.3 -2.2 0.6 0.3 -1.8 -3.8 -2.7 0.2 6.8 -0.2 2.5 -0.1 [2,] 4.6 3.9 1.3 -2.2 0.6 0.3 -1.8 -3.8 -2.7 0.2 6.8 -0.2 2.5 -0.1 [3,] 4.6 3.9 1.3 -2.2 0.6 0.3 -1.8 -3.8 -2.7 0.2 6.8 -0.2 2.5 -0.1 [4,] 4.6 3.9 1.3 -2.2 0.6 0.3 -1.8 -3.8 -2.7 0.2 6.8 -0.2 2.5 -0.1 [5,] 4.6 3.9 1.3 -2.2 0.6 0.3 -1.8 -3.8 -2.7 0.2 6.8 -0.2 2.5 -0.1 [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [1,] 0.2 0 9.3 2.2 2.7 -0.8 9 12.3 3.4 3.1 35.2 -6 [2,] 0.2 0 9.3 2.2 2.7 -0.8 9 12.3 3.4 3.1 35.2 -6 [3,] 0.2 0 9.3 2.2 2.7 -0.8 9 12.3 3.4 3.1 35.2 -6 [4,] 0.2 0 9.3 2.2 2.7 -0.8 9 12.3 3.4 3.1 35.2 -6 [5,] 0.2 0 9.3 2.2 2.7 -0.8 9 12.3 3.4 3.1 35.2 -6 [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [,38] [1,] 0.7 12.3 24.7 19.5 -17.9 -15.8 -39.5 -15.8 -13.3 3.8 -8.5 -13.1 [2,] 0.7 12.3 24.7 19.5 -17.9 -15.8 -39.5 -15.8 -13.3 3.8 -8.5 -13.1 [3,] 0.7 12.3 24.7 19.5 -17.9 -15.8 -39.5 -15.8 -13.3 3.8 -8.5 -13.1 [4,] 0.7 12.3 24.7 19.5 -17.9 -15.8 -39.5 -15.8 -13.3 3.8 -8.5 -13.1 [5,] 0.7 12.3 24.7 19.5 -17.9 -15.8 -39.5 -15.8 -13.3 3.8 -8.5 -13.1 [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50] [1,] 1.8 0.5 6.3 2.7 -1.1 -4.5 4.2 6.2 3.4 15.9 -4.7 1.1 [2,] 1.8 0.5 6.3 2.7 -1.1 -4.5 4.2 6.2 3.4 15.9 -4.7 1.1 [3,] 1.8 0.5 6.3 2.7 -1.1 -4.5 4.2 6.2 3.4 15.9 -4.7 1.1 [4,] 1.8 0.5 6.3 2.7 -1.1 -4.5 4.2 6.2 3.4 15.9 -4.7 1.1 [5,] 1.8 0.5 6.3 2.7 -1.1 -4.5 4.2 6.2 3.4 15.9 -4.7 1.1 [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [,62] [1,] 6.9 -0.1 -1.3 -2.6 -5.4 3.3 3.9 10.1 12.9 9.6 -3 -0.1 [2,] 6.9 -0.1 -1.3 -2.6 -5.4 3.3 3.9 10.1 12.9 9.6 -3 -0.1 [3,] 6.9 -0.1 -1.3 -2.6 -5.4 3.3 3.9 10.1 12.9 9.6 -3 -0.1 [4,] 6.9 -0.1 -1.3 -2.6 -5.4 3.3 3.9 10.1 12.9 9.6 -3 -0.1 [5,] 6.9 -0.1 -1.3 -2.6 -5.4 3.3 3.9 10.1 12.9 9.6 -3 -0.1 [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] -2 -3.3 -0.1 0.3 0.3 1.3 -4.5 -5.5 -1.5 NA [2,] -2 -3.3 -0.1 0.3 0.3 1.3 -4.5 -5.5 -1.5 NA [3,] -2 -3.3 -0.1 0.3 0.3 1.3 -4.5 -5.5 -1.5 NA [4,] -2 -3.3 -0.1 0.3 0.3 1.3 -4.5 -5.5 -1.5 NA [5,] -2 -3.3 -0.1 0.3 0.3 1.3 -4.5 -5.5 -1.5 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 1 [39] 1 1 1 1 1 1 1 1 1 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] [,10] [,11] [,12] [,13] [,14] [1,] 4.6 3.9 1.3 -2.2 0.6 0.3 -1.8 -3.8 -2.7 0.2 6.8 -0.2 2.5 -0.1 [2,] 4.6 3.9 1.3 -2.2 0.6 0.3 -1.8 -3.8 -2.7 0.2 6.8 -0.2 2.5 -0.1 [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [1,] 0.2 0 9.3 2.2 2.7 -0.8 9 12.3 3.4 3.1 35.2 -6 [2,] 0.2 0 9.3 2.2 2.7 -0.8 9 12.3 3.4 3.1 35.2 -6 [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [,38] [1,] 0.7 12.3 24.7 19.5 -17.9 -15.8 -39.5 -15.8 -13.3 3.8 -8.5 -13.1 [2,] 0.7 12.3 24.7 19.5 -17.9 -15.8 -39.5 -15.8 -13.3 3.8 -8.5 -13.1 [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50] [1,] 1.8 0.5 6.3 2.7 -1.1 -4.5 4.2 6.2 3.4 15.9 -4.7 1.1 [2,] 1.8 0.5 6.3 2.7 -1.1 -4.5 4.2 6.2 3.4 15.9 -4.7 1.1 [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [,62] [1,] 6.9 -0.1 -1.3 -2.6 -5.4 3.3 3.9 10.1 12.9 9.6 -3 -0.1 [2,] 6.9 -0.1 -1.3 -2.6 -5.4 3.3 3.9 10.1 12.9 9.6 -3 -0.1 [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] -2 -3.3 -0.1 0.3 0.3 1.3 -4.5 -5.5 -1.5 NA [2,] -2 -3.3 -0.1 0.3 0.3 1.3 -4.5 -5.5 -1.5 NA $out numeric(0) $group numeric(0) $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" "40" "41" "42" "43" "44" "45" [46] "46" "47" "48" "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" > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/69cis1356607940.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] [1,] 45.30 NA [2,] 63.30 NA [3,] 90.65 NA [4,] 121.15 NA [5,] 182.50 NA $n [1] 72 0 $conf [,1] [,2] [1,] 79.87805 NA [2,] 101.42195 NA $out numeric(0) $group numeric(0) $names [1] "1" NA > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/7p6ch1356607940.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,] 45.30 45.30 45.30 [2,] 63.30 63.30 63.30 [3,] 90.65 90.65 90.65 [4,] 121.15 121.15 121.15 [5,] 182.50 182.50 182.50 $n [1] 72 72 72 $conf [,1] [,2] [,3] [1,] 79.87805 79.87805 79.87805 [2,] 101.42195 101.42195 101.42195 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" > dev.off() null device 1 > > try(system("convert tmp/1kp1d1356607940.ps tmp/1kp1d1356607940.png",intern=TRUE)) character(0) > try(system("convert tmp/24pyz1356607940.ps tmp/24pyz1356607940.png",intern=TRUE)) character(0) > try(system("convert tmp/3h5281356607940.ps tmp/3h5281356607940.png",intern=TRUE)) character(0) > try(system("convert tmp/4ulym1356607940.ps tmp/4ulym1356607940.png",intern=TRUE)) character(0) > try(system("convert tmp/5pfux1356607940.ps tmp/5pfux1356607940.png",intern=TRUE)) character(0) > try(system("convert tmp/69cis1356607940.ps tmp/69cis1356607940.png",intern=TRUE)) character(0) > try(system("convert tmp/7p6ch1356607940.ps tmp/7p6ch1356607940.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.860 0.949 4.810