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(27.00,26.88,27.38,26.82,27.00,26.15,25.85,26.17,25.66,25.72,25.42,25.10,26.20,26.39,26.27,26.63,21.10,20.30,20.61,21.05,20.45,20.91,21.22,20.85,21.90,22.71,22.40,22.81,23.96,23.37,23.55,23.01,22.63,22.63,22.00,22.15,22.00,22.00,21.84,22.10,22.37,21.83,21.77,21.89,20.76,20.21,20.19,20.01,19.16,18.50,17.41,18.14,18.60,18.32,18.40,18.16,17.29,16.65,16.36,16.32,17.37,17.30,18.10,19.00,18.38,18.41,18.10,17.87,18.70,18.81,18.88,19.44,18.60,18.80,18.62,18.24,17.84,17.85,17.67,17.99,18.15,18.39,18.07,18.39) > par1 = '84' > #'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] 84 > (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 > arr [,1] [,2] [1,] 27.00 NA [2,] 26.88 NA [3,] 27.38 NA [4,] 26.82 NA [5,] 27.00 NA [6,] 26.15 NA [7,] 25.85 NA [8,] 26.17 NA [9,] 25.66 NA [10,] 25.72 NA [11,] 25.42 NA [12,] 25.10 NA [13,] 26.20 NA [14,] 26.39 NA [15,] 26.27 NA [16,] 26.63 NA [17,] 21.10 NA [18,] 20.30 NA [19,] 20.61 NA [20,] 21.05 NA [21,] 20.45 NA [22,] 20.91 NA [23,] 21.22 NA [24,] 20.85 NA [25,] 21.90 NA [26,] 22.71 NA [27,] 22.40 NA [28,] 22.81 NA [29,] 23.96 NA [30,] 23.37 NA [31,] 23.55 NA [32,] 23.01 NA [33,] 22.63 NA [34,] 22.63 NA [35,] 22.00 NA [36,] 22.15 NA [37,] 22.00 NA [38,] 22.00 NA [39,] 21.84 NA [40,] 22.10 NA [41,] 22.37 NA [42,] 21.83 NA [43,] 21.77 NA [44,] 21.89 NA [45,] 20.76 NA [46,] 20.21 NA [47,] 20.19 NA [48,] 20.01 NA [49,] 19.16 NA [50,] 18.50 NA [51,] 17.41 NA [52,] 18.14 NA [53,] 18.60 NA [54,] 18.32 NA [55,] 18.40 NA [56,] 18.16 NA [57,] 17.29 NA [58,] 16.65 NA [59,] 16.36 NA [60,] 16.32 NA [61,] 17.37 NA [62,] 17.30 NA [63,] 18.10 NA [64,] 19.00 NA [65,] 18.38 NA [66,] 18.41 NA [67,] 18.10 NA [68,] 17.87 NA [69,] 18.70 NA [70,] 18.81 NA [71,] 18.88 NA [72,] 19.44 NA [73,] 18.60 NA [74,] 18.80 NA [75,] 18.62 NA [76,] 18.24 NA [77,] 17.84 NA [78,] 17.85 NA [79,] 17.67 NA [80,] 17.99 NA [81,] 18.15 NA [82,] 18.39 NA [83,] 18.07 NA [84,] 18.39 NA > darr [,1] [,2] [1,] -0.12 NA [2,] 0.50 NA [3,] -0.56 NA [4,] 0.18 NA [5,] -0.85 NA [6,] -0.30 NA [7,] 0.32 NA [8,] -0.51 NA [9,] 0.06 NA [10,] -0.30 NA [11,] -0.32 NA [12,] 1.10 NA [13,] 0.19 NA [14,] -0.12 NA [15,] 0.36 NA [16,] -5.53 NA [17,] -0.80 NA [18,] 0.31 NA [19,] 0.44 NA [20,] -0.60 NA [21,] 0.46 NA [22,] 0.31 NA [23,] -0.37 NA [24,] 1.05 NA [25,] 0.81 NA [26,] -0.31 NA [27,] 0.41 NA [28,] 1.15 NA [29,] -0.59 NA [30,] 0.18 NA [31,] -0.54 NA [32,] -0.38 NA [33,] 0.00 NA [34,] -0.63 NA [35,] 0.15 NA [36,] -0.15 NA [37,] 0.00 NA [38,] -0.16 NA [39,] 0.26 NA [40,] 0.27 NA [41,] -0.54 NA [42,] -0.06 NA [43,] 0.12 NA [44,] -1.13 NA [45,] -0.55 NA [46,] -0.02 NA [47,] -0.18 NA [48,] -0.85 NA [49,] -0.66 NA [50,] -1.09 NA [51,] 0.73 NA [52,] 0.46 NA [53,] -0.28 NA [54,] 0.08 NA [55,] -0.24 NA [56,] -0.87 NA [57,] -0.64 NA [58,] -0.29 NA [59,] -0.04 NA [60,] 1.05 NA [61,] -0.07 NA [62,] 0.80 NA [63,] 0.90 NA [64,] -0.62 NA [65,] 0.03 NA [66,] -0.31 NA [67,] -0.23 NA [68,] 0.83 NA [69,] 0.11 NA [70,] 0.07 NA [71,] 0.56 NA [72,] -0.84 NA [73,] 0.20 NA [74,] -0.18 NA [75,] -0.38 NA [76,] -0.40 NA [77,] 0.01 NA [78,] -0.18 NA [79,] 0.32 NA [80,] 0.16 NA [81,] 0.24 NA [82,] -0.32 NA [83,] 0.32 NA [84,] 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/1agzk1243855800.ps",horizontal=F,pagecentre=F,paper="special",width=13.888888888889,height=8.3333333333333) > 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/2y5fi1243855801.ps",horizontal=F,pagecentre=F,paper="special",width=13.888888888889,height=8.3333333333333) > 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/39s2y1243855801.ps",horizontal=F,pagecentre=F,paper="special",width=13.888888888889,height=8.3333333333333) > 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/4pc9n1243855801.ps",horizontal=F,pagecentre=F,paper="special",width=13.888888888889,height=8.3333333333333) > 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] [1,] 27 26.88 27.38 26.82 27 26.15 25.85 26.17 25.66 25.72 25.42 25.1 [2,] 27 26.88 27.38 26.82 27 26.15 25.85 26.17 25.66 25.72 25.42 25.1 [3,] 27 26.88 27.38 26.82 27 26.15 25.85 26.17 25.66 25.72 25.42 25.1 [4,] 27 26.88 27.38 26.82 27 26.15 25.85 26.17 25.66 25.72 25.42 25.1 [5,] 27 26.88 27.38 26.82 27 26.15 25.85 26.17 25.66 25.72 25.42 25.1 [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 26.2 26.39 26.27 26.63 21.1 20.3 20.61 21.05 20.45 20.91 21.22 20.85 [2,] 26.2 26.39 26.27 26.63 21.1 20.3 20.61 21.05 20.45 20.91 21.22 20.85 [3,] 26.2 26.39 26.27 26.63 21.1 20.3 20.61 21.05 20.45 20.91 21.22 20.85 [4,] 26.2 26.39 26.27 26.63 21.1 20.3 20.61 21.05 20.45 20.91 21.22 20.85 [5,] 26.2 26.39 26.27 26.63 21.1 20.3 20.61 21.05 20.45 20.91 21.22 20.85 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [1,] 21.9 22.71 22.4 22.81 23.96 23.37 23.55 23.01 22.63 22.63 22 22.15 [2,] 21.9 22.71 22.4 22.81 23.96 23.37 23.55 23.01 22.63 22.63 22 22.15 [3,] 21.9 22.71 22.4 22.81 23.96 23.37 23.55 23.01 22.63 22.63 22 22.15 [4,] 21.9 22.71 22.4 22.81 23.96 23.37 23.55 23.01 22.63 22.63 22 22.15 [5,] 21.9 22.71 22.4 22.81 23.96 23.37 23.55 23.01 22.63 22.63 22 22.15 [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [1,] 22 22 21.84 22.1 22.37 21.83 21.77 21.89 20.76 20.21 20.19 20.01 [2,] 22 22 21.84 22.1 22.37 21.83 21.77 21.89 20.76 20.21 20.19 20.01 [3,] 22 22 21.84 22.1 22.37 21.83 21.77 21.89 20.76 20.21 20.19 20.01 [4,] 22 22 21.84 22.1 22.37 21.83 21.77 21.89 20.76 20.21 20.19 20.01 [5,] 22 22 21.84 22.1 22.37 21.83 21.77 21.89 20.76 20.21 20.19 20.01 [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [1,] 19.16 18.5 17.41 18.14 18.6 18.32 18.4 18.16 17.29 16.65 16.36 16.32 [2,] 19.16 18.5 17.41 18.14 18.6 18.32 18.4 18.16 17.29 16.65 16.36 16.32 [3,] 19.16 18.5 17.41 18.14 18.6 18.32 18.4 18.16 17.29 16.65 16.36 16.32 [4,] 19.16 18.5 17.41 18.14 18.6 18.32 18.4 18.16 17.29 16.65 16.36 16.32 [5,] 19.16 18.5 17.41 18.14 18.6 18.32 18.4 18.16 17.29 16.65 16.36 16.32 [,61] [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 17.37 17.3 18.1 19 18.38 18.41 18.1 17.87 18.7 18.81 18.88 19.44 [2,] 17.37 17.3 18.1 19 18.38 18.41 18.1 17.87 18.7 18.81 18.88 19.44 [3,] 17.37 17.3 18.1 19 18.38 18.41 18.1 17.87 18.7 18.81 18.88 19.44 [4,] 17.37 17.3 18.1 19 18.38 18.41 18.1 17.87 18.7 18.81 18.88 19.44 [5,] 17.37 17.3 18.1 19 18.38 18.41 18.1 17.87 18.7 18.81 18.88 19.44 [,73] [,74] [,75] [,76] [,77] [,78] [,79] [,80] [,81] [,82] [,83] [,84] [1,] 18.6 18.8 18.62 18.24 17.84 17.85 17.67 17.99 18.15 18.39 18.07 18.39 [2,] 18.6 18.8 18.62 18.24 17.84 17.85 17.67 17.99 18.15 18.39 18.07 18.39 [3,] 18.6 18.8 18.62 18.24 17.84 17.85 17.67 17.99 18.15 18.39 18.07 18.39 [4,] 18.6 18.8 18.62 18.24 17.84 17.85 17.67 17.99 18.15 18.39 18.07 18.39 [5,] 18.6 18.8 18.62 18.24 17.84 17.85 17.67 17.99 18.15 18.39 18.07 18.39 $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 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [1,] 27 26.88 27.38 26.82 27 26.15 25.85 26.17 25.66 25.72 25.42 25.1 [2,] 27 26.88 27.38 26.82 27 26.15 25.85 26.17 25.66 25.72 25.42 25.1 [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 26.2 26.39 26.27 26.63 21.1 20.3 20.61 21.05 20.45 20.91 21.22 20.85 [2,] 26.2 26.39 26.27 26.63 21.1 20.3 20.61 21.05 20.45 20.91 21.22 20.85 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [1,] 21.9 22.71 22.4 22.81 23.96 23.37 23.55 23.01 22.63 22.63 22 22.15 [2,] 21.9 22.71 22.4 22.81 23.96 23.37 23.55 23.01 22.63 22.63 22 22.15 [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [1,] 22 22 21.84 22.1 22.37 21.83 21.77 21.89 20.76 20.21 20.19 20.01 [2,] 22 22 21.84 22.1 22.37 21.83 21.77 21.89 20.76 20.21 20.19 20.01 [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [1,] 19.16 18.5 17.41 18.14 18.6 18.32 18.4 18.16 17.29 16.65 16.36 16.32 [2,] 19.16 18.5 17.41 18.14 18.6 18.32 18.4 18.16 17.29 16.65 16.36 16.32 [,61] [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 17.37 17.3 18.1 19 18.38 18.41 18.1 17.87 18.7 18.81 18.88 19.44 [2,] 17.37 17.3 18.1 19 18.38 18.41 18.1 17.87 18.7 18.81 18.88 19.44 [,73] [,74] [,75] [,76] [,77] [,78] [,79] [,80] [,81] [,82] [,83] [,84] [1,] 18.6 18.8 18.62 18.24 17.84 17.85 17.67 17.99 18.15 18.39 18.07 18.39 [2,] 18.6 18.8 18.62 18.24 17.84 17.85 17.67 17.99 18.15 18.39 18.07 18.39 $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" > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/5to2b1243855801.ps",horizontal=F,pagecentre=F,paper="special",width=13.888888888889,height=8.3333333333333) > 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,] -0.12 0.5 -0.56 0.18 -0.85 -0.3 0.32 -0.51 0.06 -0.3 -0.32 1.1 0.19 [2,] -0.12 0.5 -0.56 0.18 -0.85 -0.3 0.32 -0.51 0.06 -0.3 -0.32 1.1 0.19 [3,] -0.12 0.5 -0.56 0.18 -0.85 -0.3 0.32 -0.51 0.06 -0.3 -0.32 1.1 0.19 [4,] -0.12 0.5 -0.56 0.18 -0.85 -0.3 0.32 -0.51 0.06 -0.3 -0.32 1.1 0.19 [5,] -0.12 0.5 -0.56 0.18 -0.85 -0.3 0.32 -0.51 0.06 -0.3 -0.32 1.1 0.19 [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [1,] -0.12 0.36 -5.53 -0.8 0.31 0.44 -0.6 0.46 0.31 -0.37 1.05 0.81 [2,] -0.12 0.36 -5.53 -0.8 0.31 0.44 -0.6 0.46 0.31 -0.37 1.05 0.81 [3,] -0.12 0.36 -5.53 -0.8 0.31 0.44 -0.6 0.46 0.31 -0.37 1.05 0.81 [4,] -0.12 0.36 -5.53 -0.8 0.31 0.44 -0.6 0.46 0.31 -0.37 1.05 0.81 [5,] -0.12 0.36 -5.53 -0.8 0.31 0.44 -0.6 0.46 0.31 -0.37 1.05 0.81 [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [1,] -0.31 0.41 1.15 -0.59 0.18 -0.54 -0.38 0 -0.63 0.15 -0.15 0 [2,] -0.31 0.41 1.15 -0.59 0.18 -0.54 -0.38 0 -0.63 0.15 -0.15 0 [3,] -0.31 0.41 1.15 -0.59 0.18 -0.54 -0.38 0 -0.63 0.15 -0.15 0 [4,] -0.31 0.41 1.15 -0.59 0.18 -0.54 -0.38 0 -0.63 0.15 -0.15 0 [5,] -0.31 0.41 1.15 -0.59 0.18 -0.54 -0.38 0 -0.63 0.15 -0.15 0 [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [1,] -0.16 0.26 0.27 -0.54 -0.06 0.12 -1.13 -0.55 -0.02 -0.18 -0.85 -0.66 [2,] -0.16 0.26 0.27 -0.54 -0.06 0.12 -1.13 -0.55 -0.02 -0.18 -0.85 -0.66 [3,] -0.16 0.26 0.27 -0.54 -0.06 0.12 -1.13 -0.55 -0.02 -0.18 -0.85 -0.66 [4,] -0.16 0.26 0.27 -0.54 -0.06 0.12 -1.13 -0.55 -0.02 -0.18 -0.85 -0.66 [5,] -0.16 0.26 0.27 -0.54 -0.06 0.12 -1.13 -0.55 -0.02 -0.18 -0.85 -0.66 [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [1,] -1.09 0.73 0.46 -0.28 0.08 -0.24 -0.87 -0.64 -0.29 -0.04 1.05 -0.07 [2,] -1.09 0.73 0.46 -0.28 0.08 -0.24 -0.87 -0.64 -0.29 -0.04 1.05 -0.07 [3,] -1.09 0.73 0.46 -0.28 0.08 -0.24 -0.87 -0.64 -0.29 -0.04 1.05 -0.07 [4,] -1.09 0.73 0.46 -0.28 0.08 -0.24 -0.87 -0.64 -0.29 -0.04 1.05 -0.07 [5,] -1.09 0.73 0.46 -0.28 0.08 -0.24 -0.87 -0.64 -0.29 -0.04 1.05 -0.07 [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [,73] [1,] 0.8 0.9 -0.62 0.03 -0.31 -0.23 0.83 0.11 0.07 0.56 -0.84 0.2 [2,] 0.8 0.9 -0.62 0.03 -0.31 -0.23 0.83 0.11 0.07 0.56 -0.84 0.2 [3,] 0.8 0.9 -0.62 0.03 -0.31 -0.23 0.83 0.11 0.07 0.56 -0.84 0.2 [4,] 0.8 0.9 -0.62 0.03 -0.31 -0.23 0.83 0.11 0.07 0.56 -0.84 0.2 [5,] 0.8 0.9 -0.62 0.03 -0.31 -0.23 0.83 0.11 0.07 0.56 -0.84 0.2 [,74] [,75] [,76] [,77] [,78] [,79] [,80] [,81] [,82] [,83] [,84] [1,] -0.18 -0.38 -0.4 0.01 -0.18 0.32 0.16 0.24 -0.32 0.32 NA [2,] -0.18 -0.38 -0.4 0.01 -0.18 0.32 0.16 0.24 -0.32 0.32 NA [3,] -0.18 -0.38 -0.4 0.01 -0.18 0.32 0.16 0.24 -0.32 0.32 NA [4,] -0.18 -0.38 -0.4 0.01 -0.18 0.32 0.16 0.24 -0.32 0.32 NA [5,] -0.18 -0.38 -0.4 0.01 -0.18 0.32 0.16 0.24 -0.32 0.32 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 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [1,] -0.12 0.5 -0.56 0.18 -0.85 -0.3 0.32 -0.51 0.06 -0.3 -0.32 1.1 0.19 [2,] -0.12 0.5 -0.56 0.18 -0.85 -0.3 0.32 -0.51 0.06 -0.3 -0.32 1.1 0.19 [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [1,] -0.12 0.36 -5.53 -0.8 0.31 0.44 -0.6 0.46 0.31 -0.37 1.05 0.81 [2,] -0.12 0.36 -5.53 -0.8 0.31 0.44 -0.6 0.46 0.31 -0.37 1.05 0.81 [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [1,] -0.31 0.41 1.15 -0.59 0.18 -0.54 -0.38 0 -0.63 0.15 -0.15 0 [2,] -0.31 0.41 1.15 -0.59 0.18 -0.54 -0.38 0 -0.63 0.15 -0.15 0 [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [1,] -0.16 0.26 0.27 -0.54 -0.06 0.12 -1.13 -0.55 -0.02 -0.18 -0.85 -0.66 [2,] -0.16 0.26 0.27 -0.54 -0.06 0.12 -1.13 -0.55 -0.02 -0.18 -0.85 -0.66 [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [1,] -1.09 0.73 0.46 -0.28 0.08 -0.24 -0.87 -0.64 -0.29 -0.04 1.05 -0.07 [2,] -1.09 0.73 0.46 -0.28 0.08 -0.24 -0.87 -0.64 -0.29 -0.04 1.05 -0.07 [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [,73] [1,] 0.8 0.9 -0.62 0.03 -0.31 -0.23 0.83 0.11 0.07 0.56 -0.84 0.2 [2,] 0.8 0.9 -0.62 0.03 -0.31 -0.23 0.83 0.11 0.07 0.56 -0.84 0.2 [,74] [,75] [,76] [,77] [,78] [,79] [,80] [,81] [,82] [,83] [,84] [1,] -0.18 -0.38 -0.4 0.01 -0.18 0.32 0.16 0.24 -0.32 0.32 NA [2,] -0.18 -0.38 -0.4 0.01 -0.18 0.32 0.16 0.24 -0.32 0.32 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" > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/6qjka1243855801.ps",horizontal=F,pagecentre=F,paper="special",width=13.888888888889,height=8.3333333333333) > 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,] 16.320 NA [2,] 18.385 NA [3,] 20.685 NA [4,] 22.760 NA [5,] 27.380 NA $n [1] 84 0 $conf [,1] [,2] [1,] 19.93078 NA [2,] 21.43922 NA $out numeric(0) $group numeric(0) $names [1] "1" NA > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/7ivkr1243855801.ps",horizontal=F,pagecentre=F,paper="special",width=13.888888888889,height=8.3333333333333) > 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,] 16.320 16.320 16.320 [2,] 18.385 18.385 18.385 [3,] 20.685 20.685 20.685 [4,] 22.760 22.760 22.760 [5,] 27.380 27.380 27.380 $n [1] 84 84 84 $conf [,1] [,2] [,3] [1,] 19.93078 19.93078 19.93078 [2,] 21.43922 21.43922 21.43922 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" > dev.off() null device 1 > > system("convert tmp/1agzk1243855800.ps tmp/1agzk1243855800.png") > system("convert tmp/2y5fi1243855801.ps tmp/2y5fi1243855801.png") > system("convert tmp/39s2y1243855801.ps tmp/39s2y1243855801.png") > system("convert tmp/4pc9n1243855801.ps tmp/4pc9n1243855801.png") > system("convert tmp/5to2b1243855801.ps tmp/5to2b1243855801.png") > system("convert tmp/6qjka1243855801.ps tmp/6qjka1243855801.png") > system("convert tmp/7ivkr1243855801.ps tmp/7ivkr1243855801.png") > > > proc.time() user system elapsed 1.621 1.181 2.497