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(100.09,100.09,100.06,100.11,100.08,100.08,100.08,100.08,99.94,99.79,99.98,99.98,99.98,99.98,99.93,99.93,99.93,99.93,99.93,99.93,99.76,99.48,99.55,99.56,99.57,99.56,99.65,99.5,99.5,99.49,99.49,99.46,99.52,99.49,99.55,99.57,99.57,99.57,99.57,99.57,99.57,99.57,99.57,99.53,100.38,100.32,100.46,100.47,100.47,100.47,100.51,100.5,100.51,100.51,100.51,100.51,101.65,102.13,102.2,102.13,102.13,102.12,102.13,102.05,102,102.01,102.01,102.02,102.78,103.39,103.41,103.5,103.5,103.49,103.38,103.24,103.25,103.25,103.25,103.25,103.83,104.33,104.36,104.48,104.5,104.48,104.35,104.48,104.48,104.47,104.47,104.86,105.22,105.96,106.03,106.03) > par1 = '96' > #'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] 96 > (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 1 1 1 1 [77] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 > arr [,1] [,2] [1,] 100.09 NA [2,] 100.09 NA [3,] 100.06 NA [4,] 100.11 NA [5,] 100.08 NA [6,] 100.08 NA [7,] 100.08 NA [8,] 100.08 NA [9,] 99.94 NA [10,] 99.79 NA [11,] 99.98 NA [12,] 99.98 NA [13,] 99.98 NA [14,] 99.98 NA [15,] 99.93 NA [16,] 99.93 NA [17,] 99.93 NA [18,] 99.93 NA [19,] 99.93 NA [20,] 99.93 NA [21,] 99.76 NA [22,] 99.48 NA [23,] 99.55 NA [24,] 99.56 NA [25,] 99.57 NA [26,] 99.56 NA [27,] 99.65 NA [28,] 99.50 NA [29,] 99.50 NA [30,] 99.49 NA [31,] 99.49 NA [32,] 99.46 NA [33,] 99.52 NA [34,] 99.49 NA [35,] 99.55 NA [36,] 99.57 NA [37,] 99.57 NA [38,] 99.57 NA [39,] 99.57 NA [40,] 99.57 NA [41,] 99.57 NA [42,] 99.57 NA [43,] 99.57 NA [44,] 99.53 NA [45,] 100.38 NA [46,] 100.32 NA [47,] 100.46 NA [48,] 100.47 NA [49,] 100.47 NA [50,] 100.47 NA [51,] 100.51 NA [52,] 100.50 NA [53,] 100.51 NA [54,] 100.51 NA [55,] 100.51 NA [56,] 100.51 NA [57,] 101.65 NA [58,] 102.13 NA [59,] 102.20 NA [60,] 102.13 NA [61,] 102.13 NA [62,] 102.12 NA [63,] 102.13 NA [64,] 102.05 NA [65,] 102.00 NA [66,] 102.01 NA [67,] 102.01 NA [68,] 102.02 NA [69,] 102.78 NA [70,] 103.39 NA [71,] 103.41 NA [72,] 103.50 NA [73,] 103.50 NA [74,] 103.49 NA [75,] 103.38 NA [76,] 103.24 NA [77,] 103.25 NA [78,] 103.25 NA [79,] 103.25 NA [80,] 103.25 NA [81,] 103.83 NA [82,] 104.33 NA [83,] 104.36 NA [84,] 104.48 NA [85,] 104.50 NA [86,] 104.48 NA [87,] 104.35 NA [88,] 104.48 NA [89,] 104.48 NA [90,] 104.47 NA [91,] 104.47 NA [92,] 104.86 NA [93,] 105.22 NA [94,] 105.96 NA [95,] 106.03 NA [96,] 106.03 NA > darr [,1] [,2] [1,] 0.00 NA [2,] -0.03 NA [3,] 0.05 NA [4,] -0.03 NA [5,] 0.00 NA [6,] 0.00 NA [7,] 0.00 NA [8,] -0.14 NA [9,] -0.15 NA [10,] 0.19 NA [11,] 0.00 NA [12,] 0.00 NA [13,] 0.00 NA [14,] -0.05 NA [15,] 0.00 NA [16,] 0.00 NA [17,] 0.00 NA [18,] 0.00 NA [19,] 0.00 NA [20,] -0.17 NA [21,] -0.28 NA [22,] 0.07 NA [23,] 0.01 NA [24,] 0.01 NA [25,] -0.01 NA [26,] 0.09 NA [27,] -0.15 NA [28,] 0.00 NA [29,] -0.01 NA [30,] 0.00 NA [31,] -0.03 NA [32,] 0.06 NA [33,] -0.03 NA [34,] 0.06 NA [35,] 0.02 NA [36,] 0.00 NA [37,] 0.00 NA [38,] 0.00 NA [39,] 0.00 NA [40,] 0.00 NA [41,] 0.00 NA [42,] 0.00 NA [43,] -0.04 NA [44,] 0.85 NA [45,] -0.06 NA [46,] 0.14 NA [47,] 0.01 NA [48,] 0.00 NA [49,] 0.00 NA [50,] 0.04 NA [51,] -0.01 NA [52,] 0.01 NA [53,] 0.00 NA [54,] 0.00 NA [55,] 0.00 NA [56,] 1.14 NA [57,] 0.48 NA [58,] 0.07 NA [59,] -0.07 NA [60,] 0.00 NA [61,] -0.01 NA [62,] 0.01 NA [63,] -0.08 NA [64,] -0.05 NA [65,] 0.01 NA [66,] 0.00 NA [67,] 0.01 NA [68,] 0.76 NA [69,] 0.61 NA [70,] 0.02 NA [71,] 0.09 NA [72,] 0.00 NA [73,] -0.01 NA [74,] -0.11 NA [75,] -0.14 NA [76,] 0.01 NA [77,] 0.00 NA [78,] 0.00 NA [79,] 0.00 NA [80,] 0.58 NA [81,] 0.50 NA [82,] 0.03 NA [83,] 0.12 NA [84,] 0.02 NA [85,] -0.02 NA [86,] -0.13 NA [87,] 0.13 NA [88,] 0.00 NA [89,] -0.01 NA [90,] 0.00 NA [91,] 0.39 NA [92,] 0.36 NA [93,] 0.74 NA [94,] 0.07 NA [95,] 0.00 NA [96,] 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/html/rcomp/tmp/130ov1259673506.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index') > mtext(paste('#blocks = ',np)) > abline(overall.mean,0) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2jiz21259673506.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index') > mtext(paste('#blocks = ',np)) > abline(overall.median,0) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/3ms0c1259673506.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index') > mtext(paste('#blocks = ',np)) > abline(overall.midrange,0) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/44oil1259673506.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,] 100.09 100.09 100.06 100.11 100.08 100.08 100.08 100.08 99.94 99.79 99.98 [2,] 100.09 100.09 100.06 100.11 100.08 100.08 100.08 100.08 99.94 99.79 99.98 [3,] 100.09 100.09 100.06 100.11 100.08 100.08 100.08 100.08 99.94 99.79 99.98 [4,] 100.09 100.09 100.06 100.11 100.08 100.08 100.08 100.08 99.94 99.79 99.98 [5,] 100.09 100.09 100.06 100.11 100.08 100.08 100.08 100.08 99.94 99.79 99.98 [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [1,] 99.98 99.98 99.98 99.93 99.93 99.93 99.93 99.93 99.93 99.76 99.48 99.55 [2,] 99.98 99.98 99.98 99.93 99.93 99.93 99.93 99.93 99.93 99.76 99.48 99.55 [3,] 99.98 99.98 99.98 99.93 99.93 99.93 99.93 99.93 99.93 99.76 99.48 99.55 [4,] 99.98 99.98 99.98 99.93 99.93 99.93 99.93 99.93 99.93 99.76 99.48 99.55 [5,] 99.98 99.98 99.98 99.93 99.93 99.93 99.93 99.93 99.93 99.76 99.48 99.55 [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [1,] 99.56 99.57 99.56 99.65 99.5 99.5 99.49 99.49 99.46 99.52 99.49 99.55 [2,] 99.56 99.57 99.56 99.65 99.5 99.5 99.49 99.49 99.46 99.52 99.49 99.55 [3,] 99.56 99.57 99.56 99.65 99.5 99.5 99.49 99.49 99.46 99.52 99.49 99.55 [4,] 99.56 99.57 99.56 99.65 99.5 99.5 99.49 99.49 99.46 99.52 99.49 99.55 [5,] 99.56 99.57 99.56 99.65 99.5 99.5 99.49 99.49 99.46 99.52 99.49 99.55 [,36] [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [1,] 99.57 99.57 99.57 99.57 99.57 99.57 99.57 99.57 99.53 100.38 100.32 100.46 [2,] 99.57 99.57 99.57 99.57 99.57 99.57 99.57 99.57 99.53 100.38 100.32 100.46 [3,] 99.57 99.57 99.57 99.57 99.57 99.57 99.57 99.57 99.53 100.38 100.32 100.46 [4,] 99.57 99.57 99.57 99.57 99.57 99.57 99.57 99.57 99.53 100.38 100.32 100.46 [5,] 99.57 99.57 99.57 99.57 99.57 99.57 99.57 99.57 99.53 100.38 100.32 100.46 [,48] [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [1,] 100.47 100.47 100.47 100.51 100.5 100.51 100.51 100.51 100.51 101.65 [2,] 100.47 100.47 100.47 100.51 100.5 100.51 100.51 100.51 100.51 101.65 [3,] 100.47 100.47 100.47 100.51 100.5 100.51 100.51 100.51 100.51 101.65 [4,] 100.47 100.47 100.47 100.51 100.5 100.51 100.51 100.51 100.51 101.65 [5,] 100.47 100.47 100.47 100.51 100.5 100.51 100.51 100.51 100.51 101.65 [,58] [,59] [,60] [,61] [,62] [,63] [,64] [,65] [,66] [,67] [,68] [1,] 102.13 102.2 102.13 102.13 102.12 102.13 102.05 102 102.01 102.01 102.02 [2,] 102.13 102.2 102.13 102.13 102.12 102.13 102.05 102 102.01 102.01 102.02 [3,] 102.13 102.2 102.13 102.13 102.12 102.13 102.05 102 102.01 102.01 102.02 [4,] 102.13 102.2 102.13 102.13 102.12 102.13 102.05 102 102.01 102.01 102.02 [5,] 102.13 102.2 102.13 102.13 102.12 102.13 102.05 102 102.01 102.01 102.02 [,69] [,70] [,71] [,72] [,73] [,74] [,75] [,76] [,77] [,78] [,79] [1,] 102.78 103.39 103.41 103.5 103.5 103.49 103.38 103.24 103.25 103.25 103.25 [2,] 102.78 103.39 103.41 103.5 103.5 103.49 103.38 103.24 103.25 103.25 103.25 [3,] 102.78 103.39 103.41 103.5 103.5 103.49 103.38 103.24 103.25 103.25 103.25 [4,] 102.78 103.39 103.41 103.5 103.5 103.49 103.38 103.24 103.25 103.25 103.25 [5,] 102.78 103.39 103.41 103.5 103.5 103.49 103.38 103.24 103.25 103.25 103.25 [,80] [,81] [,82] [,83] [,84] [,85] [,86] [,87] [,88] [,89] [1,] 103.25 103.83 104.33 104.36 104.48 104.5 104.48 104.35 104.48 104.48 [2,] 103.25 103.83 104.33 104.36 104.48 104.5 104.48 104.35 104.48 104.48 [3,] 103.25 103.83 104.33 104.36 104.48 104.5 104.48 104.35 104.48 104.48 [4,] 103.25 103.83 104.33 104.36 104.48 104.5 104.48 104.35 104.48 104.48 [5,] 103.25 103.83 104.33 104.36 104.48 104.5 104.48 104.35 104.48 104.48 [,90] [,91] [,92] [,93] [,94] [,95] [,96] [1,] 104.47 104.47 104.86 105.22 105.96 106.03 106.03 [2,] 104.47 104.47 104.86 105.22 105.96 106.03 106.03 [3,] 104.47 104.47 104.86 105.22 105.96 106.03 106.03 [4,] 104.47 104.47 104.86 105.22 105.96 106.03 106.03 [5,] 104.47 104.47 104.86 105.22 105.96 106.03 106.03 $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 1 1 1 1 [77] 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,] 100.09 100.09 100.06 100.11 100.08 100.08 100.08 100.08 99.94 99.79 99.98 [2,] 100.09 100.09 100.06 100.11 100.08 100.08 100.08 100.08 99.94 99.79 99.98 [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [1,] 99.98 99.98 99.98 99.93 99.93 99.93 99.93 99.93 99.93 99.76 99.48 99.55 [2,] 99.98 99.98 99.98 99.93 99.93 99.93 99.93 99.93 99.93 99.76 99.48 99.55 [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [1,] 99.56 99.57 99.56 99.65 99.5 99.5 99.49 99.49 99.46 99.52 99.49 99.55 [2,] 99.56 99.57 99.56 99.65 99.5 99.5 99.49 99.49 99.46 99.52 99.49 99.55 [,36] [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [1,] 99.57 99.57 99.57 99.57 99.57 99.57 99.57 99.57 99.53 100.38 100.32 100.46 [2,] 99.57 99.57 99.57 99.57 99.57 99.57 99.57 99.57 99.53 100.38 100.32 100.46 [,48] [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [1,] 100.47 100.47 100.47 100.51 100.5 100.51 100.51 100.51 100.51 101.65 [2,] 100.47 100.47 100.47 100.51 100.5 100.51 100.51 100.51 100.51 101.65 [,58] [,59] [,60] [,61] [,62] [,63] [,64] [,65] [,66] [,67] [,68] [1,] 102.13 102.2 102.13 102.13 102.12 102.13 102.05 102 102.01 102.01 102.02 [2,] 102.13 102.2 102.13 102.13 102.12 102.13 102.05 102 102.01 102.01 102.02 [,69] [,70] [,71] [,72] [,73] [,74] [,75] [,76] [,77] [,78] [,79] [1,] 102.78 103.39 103.41 103.5 103.5 103.49 103.38 103.24 103.25 103.25 103.25 [2,] 102.78 103.39 103.41 103.5 103.5 103.49 103.38 103.24 103.25 103.25 103.25 [,80] [,81] [,82] [,83] [,84] [,85] [,86] [,87] [,88] [,89] [1,] 103.25 103.83 104.33 104.36 104.48 104.5 104.48 104.35 104.48 104.48 [2,] 103.25 103.83 104.33 104.36 104.48 104.5 104.48 104.35 104.48 104.48 [,90] [,91] [,92] [,93] [,94] [,95] [,96] [1,] 104.47 104.47 104.86 105.22 105.96 106.03 106.03 [2,] 104.47 104.47 104.86 105.22 105.96 106.03 106.03 $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" "73" "74" "75" [76] "76" "77" "78" "79" "80" "81" "82" "83" "84" "85" "86" "87" "88" "89" "90" [91] "91" "92" "93" "94" "95" "96" > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/5gpjb1259673506.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] [,12] [,13] [1,] 0 -0.03 0.05 -0.03 0 0 0 -0.14 -0.15 0.19 0 0 0 [2,] 0 -0.03 0.05 -0.03 0 0 0 -0.14 -0.15 0.19 0 0 0 [3,] 0 -0.03 0.05 -0.03 0 0 0 -0.14 -0.15 0.19 0 0 0 [4,] 0 -0.03 0.05 -0.03 0 0 0 -0.14 -0.15 0.19 0 0 0 [5,] 0 -0.03 0.05 -0.03 0 0 0 -0.14 -0.15 0.19 0 0 0 [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [1,] -0.05 0 0 0 0 0 -0.17 -0.28 0.07 0.01 0.01 -0.01 [2,] -0.05 0 0 0 0 0 -0.17 -0.28 0.07 0.01 0.01 -0.01 [3,] -0.05 0 0 0 0 0 -0.17 -0.28 0.07 0.01 0.01 -0.01 [4,] -0.05 0 0 0 0 0 -0.17 -0.28 0.07 0.01 0.01 -0.01 [5,] -0.05 0 0 0 0 0 -0.17 -0.28 0.07 0.01 0.01 -0.01 [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [1,] 0.09 -0.15 0 -0.01 0 -0.03 0.06 -0.03 0.06 0.02 0 0 [2,] 0.09 -0.15 0 -0.01 0 -0.03 0.06 -0.03 0.06 0.02 0 0 [3,] 0.09 -0.15 0 -0.01 0 -0.03 0.06 -0.03 0.06 0.02 0 0 [4,] 0.09 -0.15 0 -0.01 0 -0.03 0.06 -0.03 0.06 0.02 0 0 [5,] 0.09 -0.15 0 -0.01 0 -0.03 0.06 -0.03 0.06 0.02 0 0 [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [1,] 0 0 0 0 0 -0.04 0.85 -0.06 0.14 0.01 0 0 [2,] 0 0 0 0 0 -0.04 0.85 -0.06 0.14 0.01 0 0 [3,] 0 0 0 0 0 -0.04 0.85 -0.06 0.14 0.01 0 0 [4,] 0 0 0 0 0 -0.04 0.85 -0.06 0.14 0.01 0 0 [5,] 0 0 0 0 0 -0.04 0.85 -0.06 0.14 0.01 0 0 [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [1,] 0.04 -0.01 0.01 0 0 0 1.14 0.48 0.07 -0.07 0 -0.01 [2,] 0.04 -0.01 0.01 0 0 0 1.14 0.48 0.07 -0.07 0 -0.01 [3,] 0.04 -0.01 0.01 0 0 0 1.14 0.48 0.07 -0.07 0 -0.01 [4,] 0.04 -0.01 0.01 0 0 0 1.14 0.48 0.07 -0.07 0 -0.01 [5,] 0.04 -0.01 0.01 0 0 0 1.14 0.48 0.07 -0.07 0 -0.01 [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [,73] [1,] 0.01 -0.08 -0.05 0.01 0 0.01 0.76 0.61 0.02 0.09 0 -0.01 [2,] 0.01 -0.08 -0.05 0.01 0 0.01 0.76 0.61 0.02 0.09 0 -0.01 [3,] 0.01 -0.08 -0.05 0.01 0 0.01 0.76 0.61 0.02 0.09 0 -0.01 [4,] 0.01 -0.08 -0.05 0.01 0 0.01 0.76 0.61 0.02 0.09 0 -0.01 [5,] 0.01 -0.08 -0.05 0.01 0 0.01 0.76 0.61 0.02 0.09 0 -0.01 [,74] [,75] [,76] [,77] [,78] [,79] [,80] [,81] [,82] [,83] [,84] [,85] [1,] -0.11 -0.14 0.01 0 0 0 0.58 0.5 0.03 0.12 0.02 -0.02 [2,] -0.11 -0.14 0.01 0 0 0 0.58 0.5 0.03 0.12 0.02 -0.02 [3,] -0.11 -0.14 0.01 0 0 0 0.58 0.5 0.03 0.12 0.02 -0.02 [4,] -0.11 -0.14 0.01 0 0 0 0.58 0.5 0.03 0.12 0.02 -0.02 [5,] -0.11 -0.14 0.01 0 0 0 0.58 0.5 0.03 0.12 0.02 -0.02 [,86] [,87] [,88] [,89] [,90] [,91] [,92] [,93] [,94] [,95] [,96] [1,] -0.13 0.13 0 -0.01 0 0.39 0.36 0.74 0.07 0 NA [2,] -0.13 0.13 0 -0.01 0 0.39 0.36 0.74 0.07 0 NA [3,] -0.13 0.13 0 -0.01 0 0.39 0.36 0.74 0.07 0 NA [4,] -0.13 0.13 0 -0.01 0 0.39 0.36 0.74 0.07 0 NA [5,] -0.13 0.13 0 -0.01 0 0.39 0.36 0.74 0.07 0 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 1 1 1 1 1 [77] 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] [1,] 0 -0.03 0.05 -0.03 0 0 0 -0.14 -0.15 0.19 0 0 0 [2,] 0 -0.03 0.05 -0.03 0 0 0 -0.14 -0.15 0.19 0 0 0 [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [1,] -0.05 0 0 0 0 0 -0.17 -0.28 0.07 0.01 0.01 -0.01 [2,] -0.05 0 0 0 0 0 -0.17 -0.28 0.07 0.01 0.01 -0.01 [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [1,] 0.09 -0.15 0 -0.01 0 -0.03 0.06 -0.03 0.06 0.02 0 0 [2,] 0.09 -0.15 0 -0.01 0 -0.03 0.06 -0.03 0.06 0.02 0 0 [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [1,] 0 0 0 0 0 -0.04 0.85 -0.06 0.14 0.01 0 0 [2,] 0 0 0 0 0 -0.04 0.85 -0.06 0.14 0.01 0 0 [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [1,] 0.04 -0.01 0.01 0 0 0 1.14 0.48 0.07 -0.07 0 -0.01 [2,] 0.04 -0.01 0.01 0 0 0 1.14 0.48 0.07 -0.07 0 -0.01 [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [,73] [1,] 0.01 -0.08 -0.05 0.01 0 0.01 0.76 0.61 0.02 0.09 0 -0.01 [2,] 0.01 -0.08 -0.05 0.01 0 0.01 0.76 0.61 0.02 0.09 0 -0.01 [,74] [,75] [,76] [,77] [,78] [,79] [,80] [,81] [,82] [,83] [,84] [,85] [1,] -0.11 -0.14 0.01 0 0 0 0.58 0.5 0.03 0.12 0.02 -0.02 [2,] -0.11 -0.14 0.01 0 0 0 0.58 0.5 0.03 0.12 0.02 -0.02 [,86] [,87] [,88] [,89] [,90] [,91] [,92] [,93] [,94] [,95] [,96] [1,] -0.13 0.13 0 -0.01 0 0.39 0.36 0.74 0.07 0 NA [2,] -0.13 0.13 0 -0.01 0 0.39 0.36 0.74 0.07 0 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" "73" "74" "75" [76] "76" "77" "78" "79" "80" "81" "82" "83" "84" "85" "86" "87" "88" "89" "90" [91] "91" "92" "93" "94" "95" "96" > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/654931259673506.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,] 99.460 NA [2,] 99.775 NA [3,] 100.470 NA [4,] 103.250 NA [5,] 106.030 NA $n [1] 96 0 $conf [,1] [,2] [1,] 99.90963 NA [2,] 101.03037 NA $out numeric(0) $group numeric(0) $names [1] "1" NA > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/7ov2j1259673506.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,] 99.460 99.460 99.460 [2,] 99.775 99.775 99.775 [3,] 100.470 100.470 100.470 [4,] 103.250 103.250 103.250 [5,] 106.030 106.030 106.030 $n [1] 96 96 96 $conf [,1] [,2] [,3] [1,] 99.90963 99.90963 99.90963 [2,] 101.03037 101.03037 101.03037 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" > dev.off() null device 1 > > system("convert tmp/130ov1259673506.ps tmp/130ov1259673506.png") > system("convert tmp/2jiz21259673506.ps tmp/2jiz21259673506.png") > system("convert tmp/3ms0c1259673506.ps tmp/3ms0c1259673506.png") > system("convert tmp/44oil1259673506.ps tmp/44oil1259673506.png") > system("convert tmp/5gpjb1259673506.ps tmp/5gpjb1259673506.png") > system("convert tmp/654931259673506.ps tmp/654931259673506.png") > system("convert tmp/7ov2j1259673506.ps tmp/7ov2j1259673506.png") > > > proc.time() user system elapsed 1.464 0.984 2.114