R version 3.0.2 (2013-09-25) -- "Frisbee Sailing" Copyright (C) 2013 The R Foundation for Statistical Computing 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(1.26,1.26,1.28,1.34,1.39,1.47,1.57,1.63,1.72,1.43,1.35,1.41,1.44,1.43,1.43,1.42,1.45,1.51,1.48,1.48,1.45,1.38,1.46,1.45,1.41,1.45,1.47,1.47,1.53,1.56,1.66,1.79,1.78,1.46,1.41,1.43,1.43,1.45,1.35,1.35,1.29,1.29,1.26,1.3,1.3,1.16,1.24,1.15,1.21,1.22,1.17,1.13,1.15,1.2,1.23,1.25,1.38,1.28,1.26,1.25,1.26,1.28,1.31,1.22,1.23,1.36,1.54,1.58,1.44,1.29,1.28,1.23,1.2,1.22,1.19,1.17,1.22,1.29,1.39,1.53,1.82,1.77,1.63,1.57) > 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] 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] 2 2 2 2 2 2 2 2 2 2 2 2 1 1 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,] 1.26 1.20 [2,] 1.26 1.22 [3,] 1.28 1.19 [4,] 1.34 1.17 [5,] 1.39 1.22 [6,] 1.47 1.29 [7,] 1.57 1.39 [8,] 1.63 1.53 [9,] 1.72 1.82 [10,] 1.43 1.77 [11,] 1.35 1.63 [12,] 1.41 1.57 [13,] 1.44 NA [14,] 1.43 NA [15,] 1.43 NA [16,] 1.42 NA [17,] 1.45 NA [18,] 1.51 NA [19,] 1.48 NA [20,] 1.48 NA [21,] 1.45 NA [22,] 1.38 NA [23,] 1.46 NA [24,] 1.45 NA [25,] 1.41 NA [26,] 1.45 NA [27,] 1.47 NA [28,] 1.47 NA [29,] 1.53 NA [30,] 1.56 NA [31,] 1.66 NA [32,] 1.79 NA [33,] 1.78 NA [34,] 1.46 NA [35,] 1.41 NA [36,] 1.43 NA [37,] 1.43 NA [38,] 1.45 NA [39,] 1.35 NA [40,] 1.35 NA [41,] 1.29 NA [42,] 1.29 NA [43,] 1.26 NA [44,] 1.30 NA [45,] 1.30 NA [46,] 1.16 NA [47,] 1.24 NA [48,] 1.15 NA [49,] 1.21 NA [50,] 1.22 NA [51,] 1.17 NA [52,] 1.13 NA [53,] 1.15 NA [54,] 1.20 NA [55,] 1.23 NA [56,] 1.25 NA [57,] 1.38 NA [58,] 1.28 NA [59,] 1.26 NA [60,] 1.25 NA [61,] 1.26 NA [62,] 1.28 NA [63,] 1.31 NA [64,] 1.22 NA [65,] 1.23 NA [66,] 1.36 NA [67,] 1.54 NA [68,] 1.58 NA [69,] 1.44 NA [70,] 1.29 NA [71,] 1.28 NA [72,] 1.23 NA > darr [,1] [,2] [1,] 0.00 0.02 [2,] 0.02 -0.03 [3,] 0.06 -0.02 [4,] 0.05 0.05 [5,] 0.08 0.07 [6,] 0.10 0.10 [7,] 0.06 0.14 [8,] 0.09 0.29 [9,] -0.29 -0.05 [10,] -0.08 -0.14 [11,] 0.06 -0.06 [12,] 0.03 NA [13,] -0.01 NA [14,] 0.00 NA [15,] -0.01 NA [16,] 0.03 NA [17,] 0.06 NA [18,] -0.03 NA [19,] 0.00 NA [20,] -0.03 NA [21,] -0.07 NA [22,] 0.08 NA [23,] -0.01 NA [24,] -0.04 NA [25,] 0.04 NA [26,] 0.02 NA [27,] 0.00 NA [28,] 0.06 NA [29,] 0.03 NA [30,] 0.10 NA [31,] 0.13 NA [32,] -0.01 NA [33,] -0.32 NA [34,] -0.05 NA [35,] 0.02 NA [36,] 0.00 NA [37,] 0.02 NA [38,] -0.10 NA [39,] 0.00 NA [40,] -0.06 NA [41,] 0.00 NA [42,] -0.03 NA [43,] 0.04 NA [44,] 0.00 NA [45,] -0.14 NA [46,] 0.08 NA [47,] -0.09 NA [48,] 0.06 NA [49,] 0.01 NA [50,] -0.05 NA [51,] -0.04 NA [52,] 0.02 NA [53,] 0.05 NA [54,] 0.03 NA [55,] 0.02 NA [56,] 0.13 NA [57,] -0.10 NA [58,] -0.02 NA [59,] -0.01 NA [60,] 0.01 NA [61,] 0.02 NA [62,] 0.03 NA [63,] -0.09 NA [64,] 0.01 NA [65,] 0.13 NA [66,] 0.18 NA [67,] 0.04 NA [68,] -0.14 NA [69,] -0.15 NA [70,] -0.01 NA [71,] -0.05 NA [72,] -0.03 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/1gzyn1381937764.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/2jhma1381937764.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/35jpe1381937764.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/4ae9o1381937764.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] [1,] 1.20 1.22 1.190 1.170 1.220 1.29 1.39 1.53 1.72 1.43 1.35 1.41 1.44 [2,] 1.20 1.22 1.190 1.170 1.220 1.29 1.39 1.53 1.72 1.43 1.35 1.41 1.44 [3,] 1.23 1.24 1.235 1.255 1.305 1.38 1.48 1.58 1.77 1.60 1.49 1.49 1.44 [4,] 1.26 1.26 1.280 1.340 1.390 1.47 1.57 1.63 1.82 1.77 1.63 1.57 1.44 [5,] 1.26 1.26 1.280 1.340 1.390 1.47 1.57 1.63 1.82 1.77 1.63 1.57 1.44 [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [1,] 1.43 1.43 1.42 1.45 1.51 1.48 1.48 1.45 1.38 1.46 1.45 1.41 [2,] 1.43 1.43 1.42 1.45 1.51 1.48 1.48 1.45 1.38 1.46 1.45 1.41 [3,] 1.43 1.43 1.42 1.45 1.51 1.48 1.48 1.45 1.38 1.46 1.45 1.41 [4,] 1.43 1.43 1.42 1.45 1.51 1.48 1.48 1.45 1.38 1.46 1.45 1.41 [5,] 1.43 1.43 1.42 1.45 1.51 1.48 1.48 1.45 1.38 1.46 1.45 1.41 [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [1,] 1.45 1.47 1.47 1.53 1.56 1.66 1.79 1.78 1.46 1.41 1.43 1.43 [2,] 1.45 1.47 1.47 1.53 1.56 1.66 1.79 1.78 1.46 1.41 1.43 1.43 [3,] 1.45 1.47 1.47 1.53 1.56 1.66 1.79 1.78 1.46 1.41 1.43 1.43 [4,] 1.45 1.47 1.47 1.53 1.56 1.66 1.79 1.78 1.46 1.41 1.43 1.43 [5,] 1.45 1.47 1.47 1.53 1.56 1.66 1.79 1.78 1.46 1.41 1.43 1.43 [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [1,] 1.45 1.35 1.35 1.29 1.29 1.26 1.3 1.3 1.16 1.24 1.15 1.21 [2,] 1.45 1.35 1.35 1.29 1.29 1.26 1.3 1.3 1.16 1.24 1.15 1.21 [3,] 1.45 1.35 1.35 1.29 1.29 1.26 1.3 1.3 1.16 1.24 1.15 1.21 [4,] 1.45 1.35 1.35 1.29 1.29 1.26 1.3 1.3 1.16 1.24 1.15 1.21 [5,] 1.45 1.35 1.35 1.29 1.29 1.26 1.3 1.3 1.16 1.24 1.15 1.21 [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [1,] 1.22 1.17 1.13 1.15 1.2 1.23 1.25 1.38 1.28 1.26 1.25 1.26 [2,] 1.22 1.17 1.13 1.15 1.2 1.23 1.25 1.38 1.28 1.26 1.25 1.26 [3,] 1.22 1.17 1.13 1.15 1.2 1.23 1.25 1.38 1.28 1.26 1.25 1.26 [4,] 1.22 1.17 1.13 1.15 1.2 1.23 1.25 1.38 1.28 1.26 1.25 1.26 [5,] 1.22 1.17 1.13 1.15 1.2 1.23 1.25 1.38 1.28 1.26 1.25 1.26 [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 1.28 1.31 1.22 1.23 1.36 1.54 1.58 1.44 1.29 1.28 1.23 [2,] 1.28 1.31 1.22 1.23 1.36 1.54 1.58 1.44 1.29 1.28 1.23 [3,] 1.28 1.31 1.22 1.23 1.36 1.54 1.58 1.44 1.29 1.28 1.23 [4,] 1.28 1.31 1.22 1.23 1.36 1.54 1.58 1.44 1.29 1.28 1.23 [5,] 1.28 1.31 1.22 1.23 1.36 1.54 1.58 1.44 1.29 1.28 1.23 $n [1] 2 2 2 2 2 2 2 2 2 2 2 2 1 1 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] [1,] 1.162966 1.195311 1.134449 1.065071 1.115071 1.178899 1.278899 1.468277 [2,] 1.297034 1.284689 1.335551 1.444929 1.494929 1.581101 1.681101 1.691723 [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [1,] 1.658277 1.220142 1.177176 1.311243 1.44 1.43 1.43 1.42 1.45 1.51 [2,] 1.881723 1.979858 1.802824 1.668757 1.44 1.43 1.43 1.42 1.45 1.51 [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [1,] 1.48 1.48 1.45 1.38 1.46 1.45 1.41 1.45 1.47 1.47 1.53 1.56 [2,] 1.48 1.48 1.45 1.38 1.46 1.45 1.41 1.45 1.47 1.47 1.53 1.56 [,31] [,32] [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [,41] [,42] [1,] 1.66 1.79 1.78 1.46 1.41 1.43 1.43 1.45 1.35 1.35 1.29 1.29 [2,] 1.66 1.79 1.78 1.46 1.41 1.43 1.43 1.45 1.35 1.35 1.29 1.29 [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50] [,51] [,52] [,53] [,54] [1,] 1.26 1.3 1.3 1.16 1.24 1.15 1.21 1.22 1.17 1.13 1.15 1.2 [2,] 1.26 1.3 1.3 1.16 1.24 1.15 1.21 1.22 1.17 1.13 1.15 1.2 [,55] [,56] [,57] [,58] [,59] [,60] [,61] [,62] [,63] [,64] [,65] [,66] [1,] 1.23 1.25 1.38 1.28 1.26 1.25 1.26 1.28 1.31 1.22 1.23 1.36 [2,] 1.23 1.25 1.38 1.28 1.26 1.25 1.26 1.28 1.31 1.22 1.23 1.36 [,67] [,68] [,69] [,70] [,71] [,72] [1,] 1.54 1.58 1.44 1.29 1.28 1.23 [2,] 1.54 1.58 1.44 1.29 1.28 1.23 $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" Warning message: In bxp(list(stats = c(1.2, 1.2, 1.23, 1.26, 1.26, 1.22, 1.22, 1.24, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/5l1k41381937764.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] [1,] 0.00 -0.030 -0.02 0.05 0.070 0.1 0.06 0.09 -0.29 -0.14 -0.06 0.03 -0.01 [2,] 0.00 -0.030 -0.02 0.05 0.070 0.1 0.06 0.09 -0.29 -0.14 -0.06 0.03 -0.01 [3,] 0.01 -0.005 0.02 0.05 0.075 0.1 0.10 0.19 -0.17 -0.11 0.00 0.03 -0.01 [4,] 0.02 0.020 0.06 0.05 0.080 0.1 0.14 0.29 -0.05 -0.08 0.06 0.03 -0.01 [5,] 0.02 0.020 0.06 0.05 0.080 0.1 0.14 0.29 -0.05 -0.08 0.06 0.03 -0.01 [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [1,] 0 -0.01 0.03 0.06 -0.03 0 -0.03 -0.07 0.08 -0.01 -0.04 0.04 [2,] 0 -0.01 0.03 0.06 -0.03 0 -0.03 -0.07 0.08 -0.01 -0.04 0.04 [3,] 0 -0.01 0.03 0.06 -0.03 0 -0.03 -0.07 0.08 -0.01 -0.04 0.04 [4,] 0 -0.01 0.03 0.06 -0.03 0 -0.03 -0.07 0.08 -0.01 -0.04 0.04 [5,] 0 -0.01 0.03 0.06 -0.03 0 -0.03 -0.07 0.08 -0.01 -0.04 0.04 [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [1,] 0.02 0 0.06 0.03 0.1 0.13 -0.01 -0.32 -0.05 0.02 0 0.02 [2,] 0.02 0 0.06 0.03 0.1 0.13 -0.01 -0.32 -0.05 0.02 0 0.02 [3,] 0.02 0 0.06 0.03 0.1 0.13 -0.01 -0.32 -0.05 0.02 0 0.02 [4,] 0.02 0 0.06 0.03 0.1 0.13 -0.01 -0.32 -0.05 0.02 0 0.02 [5,] 0.02 0 0.06 0.03 0.1 0.13 -0.01 -0.32 -0.05 0.02 0 0.02 [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [1,] -0.1 0 -0.06 0 -0.03 0.04 0 -0.14 0.08 -0.09 0.06 0.01 [2,] -0.1 0 -0.06 0 -0.03 0.04 0 -0.14 0.08 -0.09 0.06 0.01 [3,] -0.1 0 -0.06 0 -0.03 0.04 0 -0.14 0.08 -0.09 0.06 0.01 [4,] -0.1 0 -0.06 0 -0.03 0.04 0 -0.14 0.08 -0.09 0.06 0.01 [5,] -0.1 0 -0.06 0 -0.03 0.04 0 -0.14 0.08 -0.09 0.06 0.01 [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [1,] -0.05 -0.04 0.02 0.05 0.03 0.02 0.13 -0.1 -0.02 -0.01 0.01 0.02 [2,] -0.05 -0.04 0.02 0.05 0.03 0.02 0.13 -0.1 -0.02 -0.01 0.01 0.02 [3,] -0.05 -0.04 0.02 0.05 0.03 0.02 0.13 -0.1 -0.02 -0.01 0.01 0.02 [4,] -0.05 -0.04 0.02 0.05 0.03 0.02 0.13 -0.1 -0.02 -0.01 0.01 0.02 [5,] -0.05 -0.04 0.02 0.05 0.03 0.02 0.13 -0.1 -0.02 -0.01 0.01 0.02 [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 0.03 -0.09 0.01 0.13 0.18 0.04 -0.14 -0.15 -0.01 -0.05 -0.03 [2,] 0.03 -0.09 0.01 0.13 0.18 0.04 -0.14 -0.15 -0.01 -0.05 -0.03 [3,] 0.03 -0.09 0.01 0.13 0.18 0.04 -0.14 -0.15 -0.01 -0.05 -0.03 [4,] 0.03 -0.09 0.01 0.13 0.18 0.04 -0.14 -0.15 -0.01 -0.05 -0.03 [5,] 0.03 -0.09 0.01 0.13 0.18 0.04 -0.14 -0.15 -0.01 -0.05 -0.03 $n [1] 2 2 2 2 2 2 2 2 2 2 2 1 1 1 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] [1,] -0.01234457 -0.06086144 -0.0693783 0.05 0.06382771 0.1 0.0106217 [2,] 0.03234457 0.05086144 0.1093783 0.05 0.08617229 0.1 0.1893783 [,8] [,9] [,10] [,11] [,12] [,13] [,14] [,15] [1,] -0.03344574 -0.43813489 -0.17703372 -0.1340674 0.03 -0.01 0 -0.01 [2,] 0.41344574 0.09813489 -0.04296628 0.1340674 0.03 -0.01 0 -0.01 [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [,27] [1,] 0.03 0.06 -0.03 0 -0.03 -0.07 0.08 -0.01 -0.04 0.04 0.02 0 [2,] 0.03 0.06 -0.03 0 -0.03 -0.07 0.08 -0.01 -0.04 0.04 0.02 0 [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [,38] [,39] [1,] 0.06 0.03 0.1 0.13 -0.01 -0.32 -0.05 0.02 0 0.02 -0.1 0 [2,] 0.06 0.03 0.1 0.13 -0.01 -0.32 -0.05 0.02 0 0.02 -0.1 0 [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50] [,51] [1,] -0.06 0 -0.03 0.04 0 -0.14 0.08 -0.09 0.06 0.01 -0.05 -0.04 [2,] -0.06 0 -0.03 0.04 0 -0.14 0.08 -0.09 0.06 0.01 -0.05 -0.04 [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61] [,62] [,63] [1,] 0.02 0.05 0.03 0.02 0.13 -0.1 -0.02 -0.01 0.01 0.02 0.03 -0.09 [2,] 0.02 0.05 0.03 0.02 0.13 -0.1 -0.02 -0.01 0.01 0.02 0.03 -0.09 [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 0.01 0.13 0.18 0.04 -0.14 -0.15 -0.01 -0.05 -0.03 [2,] 0.01 0.13 0.18 0.04 -0.14 -0.15 -0.01 -0.05 -0.03 $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" Warning message: In bxp(list(stats = c(0, 0, 0.01, 0.02, 0.02, -0.03, -0.03, -0.005, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/60hnu1381937764.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,] 1.130 1.17 [2,] 1.260 1.21 [3,] 1.380 1.34 [4,] 1.455 1.60 [5,] 1.720 1.82 $n [1] 72 12 $conf [,1] [,2] [1,] 1.34369 1.162118 [2,] 1.41631 1.517882 $out [1] 1.79 1.78 $group [1] 1 1 $names [1] "1" NA Warning message: In bxp(list(stats = c(1.13, 1.26, 1.38, 1.455, 1.72, 1.17, 1.21, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/71rz11381937764.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,] 1.1300 1.1300 1.1300 [2,] 1.2525 1.2525 1.2525 [3,] 1.3800 1.3800 1.3800 [4,] 1.4650 1.4650 1.4650 [5,] 1.7800 1.7800 1.7800 $n [1] 72 72 72 $conf [,1] [,2] [,3] [1,] 1.340431 1.340431 1.340431 [2,] 1.419569 1.419569 1.419569 $out [1] 1.79 1.79 1.79 $group [1] 1 2 3 $names [1] "mean" "median" "midrange" > dev.off() null device 1 > > try(system("convert tmp/1gzyn1381937764.ps tmp/1gzyn1381937764.png",intern=TRUE)) character(0) > try(system("convert tmp/2jhma1381937764.ps tmp/2jhma1381937764.png",intern=TRUE)) character(0) > try(system("convert tmp/35jpe1381937764.ps tmp/35jpe1381937764.png",intern=TRUE)) character(0) > try(system("convert tmp/4ae9o1381937764.ps tmp/4ae9o1381937764.png",intern=TRUE)) character(0) > try(system("convert tmp/5l1k41381937764.ps tmp/5l1k41381937764.png",intern=TRUE)) character(0) > try(system("convert tmp/60hnu1381937764.ps tmp/60hnu1381937764.png",intern=TRUE)) character(0) > try(system("convert tmp/71rz11381937764.ps tmp/71rz11381937764.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.398 0.668 4.054