R version 2.7.2 (2008-08-25) Copyright (C) 2008 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(11178.4,9516.4,12102.8,12989.0,11610.2,10205.5,11356.2,11307.1,12648.6,11947.2,11714.1,12192.5,11268.8,9097.4,12639.8,13040.1,11687.3,11191.7,11391.9,11793.1,13933.2,12778.1,11810.3,13698.4,11956.6,10723.8,13938.9,13979.8,13807.4,12973.9,12509.8,12934.1,14908.3,13772.1,13012.6,14049.9,11816.5,11593.2,14466.2,13615.9,14733.9,13880.7,13527.5,13584.0,16170.2,13260.6,14741.9,15486.5,13154.5,12621.2,15031.6,15452.4,15428,13105.9,14716.8,14180.0,16202.2,14392.4,15140.6,15960.1,14351.3,13230.2,15202.1,17157.3,16159.1,13405.7,17224.7,17338.4,17370.6,18817.8,16593.2,17979.5,17015.2) > par1 = '73' > #'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] 73 > (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 > arr [,1] [,2] [1,] 11178.4 NA [2,] 9516.4 NA [3,] 12102.8 NA [4,] 12989.0 NA [5,] 11610.2 NA [6,] 10205.5 NA [7,] 11356.2 NA [8,] 11307.1 NA [9,] 12648.6 NA [10,] 11947.2 NA [11,] 11714.1 NA [12,] 12192.5 NA [13,] 11268.8 NA [14,] 9097.4 NA [15,] 12639.8 NA [16,] 13040.1 NA [17,] 11687.3 NA [18,] 11191.7 NA [19,] 11391.9 NA [20,] 11793.1 NA [21,] 13933.2 NA [22,] 12778.1 NA [23,] 11810.3 NA [24,] 13698.4 NA [25,] 11956.6 NA [26,] 10723.8 NA [27,] 13938.9 NA [28,] 13979.8 NA [29,] 13807.4 NA [30,] 12973.9 NA [31,] 12509.8 NA [32,] 12934.1 NA [33,] 14908.3 NA [34,] 13772.1 NA [35,] 13012.6 NA [36,] 14049.9 NA [37,] 11816.5 NA [38,] 11593.2 NA [39,] 14466.2 NA [40,] 13615.9 NA [41,] 14733.9 NA [42,] 13880.7 NA [43,] 13527.5 NA [44,] 13584.0 NA [45,] 16170.2 NA [46,] 13260.6 NA [47,] 14741.9 NA [48,] 15486.5 NA [49,] 13154.5 NA [50,] 12621.2 NA [51,] 15031.6 NA [52,] 15452.4 NA [53,] 15428.0 NA [54,] 13105.9 NA [55,] 14716.8 NA [56,] 14180.0 NA [57,] 16202.2 NA [58,] 14392.4 NA [59,] 15140.6 NA [60,] 15960.1 NA [61,] 14351.3 NA [62,] 13230.2 NA [63,] 15202.1 NA [64,] 17157.3 NA [65,] 16159.1 NA [66,] 13405.7 NA [67,] 17224.7 NA [68,] 17338.4 NA [69,] 17370.6 NA [70,] 18817.8 NA [71,] 16593.2 NA [72,] 17979.5 NA [73,] 17015.2 NA > darr [,1] [,2] [1,] -1662.0 NA [2,] 2586.4 NA [3,] 886.2 NA [4,] -1378.8 NA [5,] -1404.7 NA [6,] 1150.7 NA [7,] -49.1 NA [8,] 1341.5 NA [9,] -701.4 NA [10,] -233.1 NA [11,] 478.4 NA [12,] -923.7 NA [13,] -2171.4 NA [14,] 3542.4 NA [15,] 400.3 NA [16,] -1352.8 NA [17,] -495.6 NA [18,] 200.2 NA [19,] 401.2 NA [20,] 2140.1 NA [21,] -1155.1 NA [22,] -967.8 NA [23,] 1888.1 NA [24,] -1741.8 NA [25,] -1232.8 NA [26,] 3215.1 NA [27,] 40.9 NA [28,] -172.4 NA [29,] -833.5 NA [30,] -464.1 NA [31,] 424.3 NA [32,] 1974.2 NA [33,] -1136.2 NA [34,] -759.5 NA [35,] 1037.3 NA [36,] -2233.4 NA [37,] -223.3 NA [38,] 2873.0 NA [39,] -850.3 NA [40,] 1118.0 NA [41,] -853.2 NA [42,] -353.2 NA [43,] 56.5 NA [44,] 2586.2 NA [45,] -2909.6 NA [46,] 1481.3 NA [47,] 744.6 NA [48,] -2332.0 NA [49,] -533.3 NA [50,] 2410.4 NA [51,] 420.8 NA [52,] -24.4 NA [53,] -2322.1 NA [54,] 1610.9 NA [55,] -536.8 NA [56,] 2022.2 NA [57,] -1809.8 NA [58,] 748.2 NA [59,] 819.5 NA [60,] -1608.8 NA [61,] -1121.1 NA [62,] 1971.9 NA [63,] 1955.2 NA [64,] -998.2 NA [65,] -2753.4 NA [66,] 3819.0 NA [67,] 113.7 NA [68,] 32.2 NA [69,] 1447.2 NA [70,] -2224.6 NA [71,] 1386.3 NA [72,] -964.3 NA [73,] 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/1hbex1225736971.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/22fbk1225736971.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/3psld1225736971.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/4i4n31225736971.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] [1,] 11178.4 9516.4 12102.8 12989 11610.2 10205.5 11356.2 11307.1 12648.6 [2,] 11178.4 9516.4 12102.8 12989 11610.2 10205.5 11356.2 11307.1 12648.6 [3,] 11178.4 9516.4 12102.8 12989 11610.2 10205.5 11356.2 11307.1 12648.6 [4,] 11178.4 9516.4 12102.8 12989 11610.2 10205.5 11356.2 11307.1 12648.6 [5,] 11178.4 9516.4 12102.8 12989 11610.2 10205.5 11356.2 11307.1 12648.6 [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [1,] 11947.2 11714.1 12192.5 11268.8 9097.4 12639.8 13040.1 11687.3 11191.7 [2,] 11947.2 11714.1 12192.5 11268.8 9097.4 12639.8 13040.1 11687.3 11191.7 [3,] 11947.2 11714.1 12192.5 11268.8 9097.4 12639.8 13040.1 11687.3 11191.7 [4,] 11947.2 11714.1 12192.5 11268.8 9097.4 12639.8 13040.1 11687.3 11191.7 [5,] 11947.2 11714.1 12192.5 11268.8 9097.4 12639.8 13040.1 11687.3 11191.7 [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [,27] [1,] 11391.9 11793.1 13933.2 12778.1 11810.3 13698.4 11956.6 10723.8 13938.9 [2,] 11391.9 11793.1 13933.2 12778.1 11810.3 13698.4 11956.6 10723.8 13938.9 [3,] 11391.9 11793.1 13933.2 12778.1 11810.3 13698.4 11956.6 10723.8 13938.9 [4,] 11391.9 11793.1 13933.2 12778.1 11810.3 13698.4 11956.6 10723.8 13938.9 [5,] 11391.9 11793.1 13933.2 12778.1 11810.3 13698.4 11956.6 10723.8 13938.9 [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [1,] 13979.8 13807.4 12973.9 12509.8 12934.1 14908.3 13772.1 13012.6 14049.9 [2,] 13979.8 13807.4 12973.9 12509.8 12934.1 14908.3 13772.1 13012.6 14049.9 [3,] 13979.8 13807.4 12973.9 12509.8 12934.1 14908.3 13772.1 13012.6 14049.9 [4,] 13979.8 13807.4 12973.9 12509.8 12934.1 14908.3 13772.1 13012.6 14049.9 [5,] 13979.8 13807.4 12973.9 12509.8 12934.1 14908.3 13772.1 13012.6 14049.9 [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [1,] 11816.5 11593.2 14466.2 13615.9 14733.9 13880.7 13527.5 13584 16170.2 [2,] 11816.5 11593.2 14466.2 13615.9 14733.9 13880.7 13527.5 13584 16170.2 [3,] 11816.5 11593.2 14466.2 13615.9 14733.9 13880.7 13527.5 13584 16170.2 [4,] 11816.5 11593.2 14466.2 13615.9 14733.9 13880.7 13527.5 13584 16170.2 [5,] 11816.5 11593.2 14466.2 13615.9 14733.9 13880.7 13527.5 13584 16170.2 [,46] [,47] [,48] [,49] [,50] [,51] [,52] [,53] [,54] [1,] 13260.6 14741.9 15486.5 13154.5 12621.2 15031.6 15452.4 15428 13105.9 [2,] 13260.6 14741.9 15486.5 13154.5 12621.2 15031.6 15452.4 15428 13105.9 [3,] 13260.6 14741.9 15486.5 13154.5 12621.2 15031.6 15452.4 15428 13105.9 [4,] 13260.6 14741.9 15486.5 13154.5 12621.2 15031.6 15452.4 15428 13105.9 [5,] 13260.6 14741.9 15486.5 13154.5 12621.2 15031.6 15452.4 15428 13105.9 [,55] [,56] [,57] [,58] [,59] [,60] [,61] [,62] [,63] [1,] 14716.8 14180 16202.2 14392.4 15140.6 15960.1 14351.3 13230.2 15202.1 [2,] 14716.8 14180 16202.2 14392.4 15140.6 15960.1 14351.3 13230.2 15202.1 [3,] 14716.8 14180 16202.2 14392.4 15140.6 15960.1 14351.3 13230.2 15202.1 [4,] 14716.8 14180 16202.2 14392.4 15140.6 15960.1 14351.3 13230.2 15202.1 [5,] 14716.8 14180 16202.2 14392.4 15140.6 15960.1 14351.3 13230.2 15202.1 [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 17157.3 16159.1 13405.7 17224.7 17338.4 17370.6 18817.8 16593.2 17979.5 [2,] 17157.3 16159.1 13405.7 17224.7 17338.4 17370.6 18817.8 16593.2 17979.5 [3,] 17157.3 16159.1 13405.7 17224.7 17338.4 17370.6 18817.8 16593.2 17979.5 [4,] 17157.3 16159.1 13405.7 17224.7 17338.4 17370.6 18817.8 16593.2 17979.5 [5,] 17157.3 16159.1 13405.7 17224.7 17338.4 17370.6 18817.8 16593.2 17979.5 [,73] [1,] 17015.2 [2,] 17015.2 [3,] 17015.2 [4,] 17015.2 [5,] 17015.2 $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 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [1,] 11178.4 9516.4 12102.8 12989 11610.2 10205.5 11356.2 11307.1 12648.6 [2,] 11178.4 9516.4 12102.8 12989 11610.2 10205.5 11356.2 11307.1 12648.6 [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [1,] 11947.2 11714.1 12192.5 11268.8 9097.4 12639.8 13040.1 11687.3 11191.7 [2,] 11947.2 11714.1 12192.5 11268.8 9097.4 12639.8 13040.1 11687.3 11191.7 [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [,27] [1,] 11391.9 11793.1 13933.2 12778.1 11810.3 13698.4 11956.6 10723.8 13938.9 [2,] 11391.9 11793.1 13933.2 12778.1 11810.3 13698.4 11956.6 10723.8 13938.9 [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [1,] 13979.8 13807.4 12973.9 12509.8 12934.1 14908.3 13772.1 13012.6 14049.9 [2,] 13979.8 13807.4 12973.9 12509.8 12934.1 14908.3 13772.1 13012.6 14049.9 [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [1,] 11816.5 11593.2 14466.2 13615.9 14733.9 13880.7 13527.5 13584 16170.2 [2,] 11816.5 11593.2 14466.2 13615.9 14733.9 13880.7 13527.5 13584 16170.2 [,46] [,47] [,48] [,49] [,50] [,51] [,52] [,53] [,54] [1,] 13260.6 14741.9 15486.5 13154.5 12621.2 15031.6 15452.4 15428 13105.9 [2,] 13260.6 14741.9 15486.5 13154.5 12621.2 15031.6 15452.4 15428 13105.9 [,55] [,56] [,57] [,58] [,59] [,60] [,61] [,62] [,63] [1,] 14716.8 14180 16202.2 14392.4 15140.6 15960.1 14351.3 13230.2 15202.1 [2,] 14716.8 14180 16202.2 14392.4 15140.6 15960.1 14351.3 13230.2 15202.1 [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 17157.3 16159.1 13405.7 17224.7 17338.4 17370.6 18817.8 16593.2 17979.5 [2,] 17157.3 16159.1 13405.7 17224.7 17338.4 17370.6 18817.8 16593.2 17979.5 [,73] [1,] 17015.2 [2,] 17015.2 $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" > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/5211a1225736971.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] [1,] -1662 2586.4 886.2 -1378.8 -1404.7 1150.7 -49.1 1341.5 -701.4 -233.1 478.4 [2,] -1662 2586.4 886.2 -1378.8 -1404.7 1150.7 -49.1 1341.5 -701.4 -233.1 478.4 [3,] -1662 2586.4 886.2 -1378.8 -1404.7 1150.7 -49.1 1341.5 -701.4 -233.1 478.4 [4,] -1662 2586.4 886.2 -1378.8 -1404.7 1150.7 -49.1 1341.5 -701.4 -233.1 478.4 [5,] -1662 2586.4 886.2 -1378.8 -1404.7 1150.7 -49.1 1341.5 -701.4 -233.1 478.4 [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [1,] -923.7 -2171.4 3542.4 400.3 -1352.8 -495.6 200.2 401.2 2140.1 -1155.1 [2,] -923.7 -2171.4 3542.4 400.3 -1352.8 -495.6 200.2 401.2 2140.1 -1155.1 [3,] -923.7 -2171.4 3542.4 400.3 -1352.8 -495.6 200.2 401.2 2140.1 -1155.1 [4,] -923.7 -2171.4 3542.4 400.3 -1352.8 -495.6 200.2 401.2 2140.1 -1155.1 [5,] -923.7 -2171.4 3542.4 400.3 -1352.8 -495.6 200.2 401.2 2140.1 -1155.1 [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [1,] -967.8 1888.1 -1741.8 -1232.8 3215.1 40.9 -172.4 -833.5 -464.1 424.3 [2,] -967.8 1888.1 -1741.8 -1232.8 3215.1 40.9 -172.4 -833.5 -464.1 424.3 [3,] -967.8 1888.1 -1741.8 -1232.8 3215.1 40.9 -172.4 -833.5 -464.1 424.3 [4,] -967.8 1888.1 -1741.8 -1232.8 3215.1 40.9 -172.4 -833.5 -464.1 424.3 [5,] -967.8 1888.1 -1741.8 -1232.8 3215.1 40.9 -172.4 -833.5 -464.1 424.3 [,32] [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [,41] [1,] 1974.2 -1136.2 -759.5 1037.3 -2233.4 -223.3 2873 -850.3 1118 -853.2 [2,] 1974.2 -1136.2 -759.5 1037.3 -2233.4 -223.3 2873 -850.3 1118 -853.2 [3,] 1974.2 -1136.2 -759.5 1037.3 -2233.4 -223.3 2873 -850.3 1118 -853.2 [4,] 1974.2 -1136.2 -759.5 1037.3 -2233.4 -223.3 2873 -850.3 1118 -853.2 [5,] 1974.2 -1136.2 -759.5 1037.3 -2233.4 -223.3 2873 -850.3 1118 -853.2 [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50] [,51] [,52] [1,] -353.2 56.5 2586.2 -2909.6 1481.3 744.6 -2332 -533.3 2410.4 420.8 -24.4 [2,] -353.2 56.5 2586.2 -2909.6 1481.3 744.6 -2332 -533.3 2410.4 420.8 -24.4 [3,] -353.2 56.5 2586.2 -2909.6 1481.3 744.6 -2332 -533.3 2410.4 420.8 -24.4 [4,] -353.2 56.5 2586.2 -2909.6 1481.3 744.6 -2332 -533.3 2410.4 420.8 -24.4 [5,] -353.2 56.5 2586.2 -2909.6 1481.3 744.6 -2332 -533.3 2410.4 420.8 -24.4 [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [,62] [1,] -2322.1 1610.9 -536.8 2022.2 -1809.8 748.2 819.5 -1608.8 -1121.1 1971.9 [2,] -2322.1 1610.9 -536.8 2022.2 -1809.8 748.2 819.5 -1608.8 -1121.1 1971.9 [3,] -2322.1 1610.9 -536.8 2022.2 -1809.8 748.2 819.5 -1608.8 -1121.1 1971.9 [4,] -2322.1 1610.9 -536.8 2022.2 -1809.8 748.2 819.5 -1608.8 -1121.1 1971.9 [5,] -2322.1 1610.9 -536.8 2022.2 -1809.8 748.2 819.5 -1608.8 -1121.1 1971.9 [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [,73] [1,] 1955.2 -998.2 -2753.4 3819 113.7 32.2 1447.2 -2224.6 1386.3 -964.3 NA [2,] 1955.2 -998.2 -2753.4 3819 113.7 32.2 1447.2 -2224.6 1386.3 -964.3 NA [3,] 1955.2 -998.2 -2753.4 3819 113.7 32.2 1447.2 -2224.6 1386.3 -964.3 NA [4,] 1955.2 -998.2 -2753.4 3819 113.7 32.2 1447.2 -2224.6 1386.3 -964.3 NA [5,] 1955.2 -998.2 -2753.4 3819 113.7 32.2 1447.2 -2224.6 1386.3 -964.3 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 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [1,] -1662 2586.4 886.2 -1378.8 -1404.7 1150.7 -49.1 1341.5 -701.4 -233.1 478.4 [2,] -1662 2586.4 886.2 -1378.8 -1404.7 1150.7 -49.1 1341.5 -701.4 -233.1 478.4 [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [1,] -923.7 -2171.4 3542.4 400.3 -1352.8 -495.6 200.2 401.2 2140.1 -1155.1 [2,] -923.7 -2171.4 3542.4 400.3 -1352.8 -495.6 200.2 401.2 2140.1 -1155.1 [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [1,] -967.8 1888.1 -1741.8 -1232.8 3215.1 40.9 -172.4 -833.5 -464.1 424.3 [2,] -967.8 1888.1 -1741.8 -1232.8 3215.1 40.9 -172.4 -833.5 -464.1 424.3 [,32] [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [,41] [1,] 1974.2 -1136.2 -759.5 1037.3 -2233.4 -223.3 2873 -850.3 1118 -853.2 [2,] 1974.2 -1136.2 -759.5 1037.3 -2233.4 -223.3 2873 -850.3 1118 -853.2 [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50] [,51] [,52] [1,] -353.2 56.5 2586.2 -2909.6 1481.3 744.6 -2332 -533.3 2410.4 420.8 -24.4 [2,] -353.2 56.5 2586.2 -2909.6 1481.3 744.6 -2332 -533.3 2410.4 420.8 -24.4 [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [,62] [1,] -2322.1 1610.9 -536.8 2022.2 -1809.8 748.2 819.5 -1608.8 -1121.1 1971.9 [2,] -2322.1 1610.9 -536.8 2022.2 -1809.8 748.2 819.5 -1608.8 -1121.1 1971.9 [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [,73] [1,] 1955.2 -998.2 -2753.4 3819 113.7 32.2 1447.2 -2224.6 1386.3 -964.3 NA [2,] 1955.2 -998.2 -2753.4 3819 113.7 32.2 1447.2 -2224.6 1386.3 -964.3 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" > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/6o81d1225736971.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,] 9097.4 NA [2,] 11956.6 NA [3,] 13527.5 NA [4,] 14908.3 NA [5,] 18817.8 NA $n [1] 73 0 $conf [,1] [,2] [1,] 12981.66 NA [2,] 14073.34 NA $out numeric(0) $group numeric(0) $names [1] "1" NA > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/7nn951225736971.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,] 9097.4 9097.4 9097.4 [2,] 11956.6 11956.6 11956.6 [3,] 13527.5 13527.5 13527.5 [4,] 14908.3 14908.3 14908.3 [5,] 18817.8 18817.8 18817.8 $n [1] 73 73 73 $conf [,1] [,2] [,3] [1,] 12981.66 12981.66 12981.66 [2,] 14073.34 14073.34 14073.34 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" > dev.off() null device 1 > > system("convert tmp/1hbex1225736971.ps tmp/1hbex1225736971.png") > system("convert tmp/22fbk1225736971.ps tmp/22fbk1225736971.png") > system("convert tmp/3psld1225736971.ps tmp/3psld1225736971.png") > system("convert tmp/4i4n31225736971.ps tmp/4i4n31225736971.png") > system("convert tmp/5211a1225736971.ps tmp/5211a1225736971.png") > system("convert tmp/6o81d1225736971.ps tmp/6o81d1225736971.png") > system("convert tmp/7nn951225736971.ps tmp/7nn951225736971.png") > > > proc.time() user system elapsed 1.586 0.968 1.866