R version 3.2.3 (2015-12-10) -- "Wooden Christmas-Tree" Copyright (C) 2015 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-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(110.27,110.91,110.27,109.41,111.47,110.77,110.83,110.52,110.44,109.99,110.55,109.99,111.2,111.81,110.36,111.24,112.6,111.75,112.49,111.94,113.22,112.85,114.37,113.68,118,118.27,119.2,117.98,117.59,117.41,118.31,118.4,117.92,118.94,118.81,117.44,120.21,119.74,118.79,118.19,119.16,118.88,119.59,119.44,119.84,119.31,118.15,118.23,119.89,118.83,118.95,119.86,119.07,119.52,119.92,119.68,119.81,120.09,119.98,118.96) > par1 = '60' > par1 <- '60' > #'GNU S' R Code compiled by R2WASP v. 1.2.327 (Mon, 30 Nov 2015 07:01:18 +0000) > #Author: root > #To cite this work: Wessa P., (2015), Mean Plot (v1.0.5) 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) > x <- na.omit(x) > (n <- length(x)) [1] 60 > (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 > arr [,1] [,2] [1,] 110.27 NA [2,] 110.91 NA [3,] 110.27 NA [4,] 109.41 NA [5,] 111.47 NA [6,] 110.77 NA [7,] 110.83 NA [8,] 110.52 NA [9,] 110.44 NA [10,] 109.99 NA [11,] 110.55 NA [12,] 109.99 NA [13,] 111.20 NA [14,] 111.81 NA [15,] 110.36 NA [16,] 111.24 NA [17,] 112.60 NA [18,] 111.75 NA [19,] 112.49 NA [20,] 111.94 NA [21,] 113.22 NA [22,] 112.85 NA [23,] 114.37 NA [24,] 113.68 NA [25,] 118.00 NA [26,] 118.27 NA [27,] 119.20 NA [28,] 117.98 NA [29,] 117.59 NA [30,] 117.41 NA [31,] 118.31 NA [32,] 118.40 NA [33,] 117.92 NA [34,] 118.94 NA [35,] 118.81 NA [36,] 117.44 NA [37,] 120.21 NA [38,] 119.74 NA [39,] 118.79 NA [40,] 118.19 NA [41,] 119.16 NA [42,] 118.88 NA [43,] 119.59 NA [44,] 119.44 NA [45,] 119.84 NA [46,] 119.31 NA [47,] 118.15 NA [48,] 118.23 NA [49,] 119.89 NA [50,] 118.83 NA [51,] 118.95 NA [52,] 119.86 NA [53,] 119.07 NA [54,] 119.52 NA [55,] 119.92 NA [56,] 119.68 NA [57,] 119.81 NA [58,] 120.09 NA [59,] 119.98 NA [60,] 118.96 NA > darr [,1] [,2] [1,] 0.64 NA [2,] -0.64 NA [3,] -0.86 NA [4,] 2.06 NA [5,] -0.70 NA [6,] 0.06 NA [7,] -0.31 NA [8,] -0.08 NA [9,] -0.45 NA [10,] 0.56 NA [11,] -0.56 NA [12,] 1.21 NA [13,] 0.61 NA [14,] -1.45 NA [15,] 0.88 NA [16,] 1.36 NA [17,] -0.85 NA [18,] 0.74 NA [19,] -0.55 NA [20,] 1.28 NA [21,] -0.37 NA [22,] 1.52 NA [23,] -0.69 NA [24,] 4.32 NA [25,] 0.27 NA [26,] 0.93 NA [27,] -1.22 NA [28,] -0.39 NA [29,] -0.18 NA [30,] 0.90 NA [31,] 0.09 NA [32,] -0.48 NA [33,] 1.02 NA [34,] -0.13 NA [35,] -1.37 NA [36,] 2.77 NA [37,] -0.47 NA [38,] -0.95 NA [39,] -0.60 NA [40,] 0.97 NA [41,] -0.28 NA [42,] 0.71 NA [43,] -0.15 NA [44,] 0.40 NA [45,] -0.53 NA [46,] -1.16 NA [47,] 0.08 NA [48,] 1.66 NA [49,] -1.06 NA [50,] 0.12 NA [51,] 0.91 NA [52,] -0.79 NA [53,] 0.45 NA [54,] 0.40 NA [55,] -0.24 NA [56,] 0.13 NA [57,] 0.28 NA [58,] -0.11 NA [59,] -1.02 NA [60,] 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/wessaorg/rcomp/tmp/1hngd1457217444.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/wessaorg/rcomp/tmp/250yy1457217444.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/wessaorg/rcomp/tmp/3to9c1457217444.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/wessaorg/rcomp/tmp/4yk571457217444.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] [1,] 110.27 110.91 110.27 109.41 111.47 110.77 110.83 110.52 110.44 109.99 [2,] 110.27 110.91 110.27 109.41 111.47 110.77 110.83 110.52 110.44 109.99 [3,] 110.27 110.91 110.27 109.41 111.47 110.77 110.83 110.52 110.44 109.99 [4,] 110.27 110.91 110.27 109.41 111.47 110.77 110.83 110.52 110.44 109.99 [5,] 110.27 110.91 110.27 109.41 111.47 110.77 110.83 110.52 110.44 109.99 [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [1,] 110.55 109.99 111.2 111.81 110.36 111.24 112.6 111.75 112.49 111.94 113.22 [2,] 110.55 109.99 111.2 111.81 110.36 111.24 112.6 111.75 112.49 111.94 113.22 [3,] 110.55 109.99 111.2 111.81 110.36 111.24 112.6 111.75 112.49 111.94 113.22 [4,] 110.55 109.99 111.2 111.81 110.36 111.24 112.6 111.75 112.49 111.94 113.22 [5,] 110.55 109.99 111.2 111.81 110.36 111.24 112.6 111.75 112.49 111.94 113.22 [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [1,] 112.85 114.37 113.68 118 118.27 119.2 117.98 117.59 117.41 118.31 118.4 [2,] 112.85 114.37 113.68 118 118.27 119.2 117.98 117.59 117.41 118.31 118.4 [3,] 112.85 114.37 113.68 118 118.27 119.2 117.98 117.59 117.41 118.31 118.4 [4,] 112.85 114.37 113.68 118 118.27 119.2 117.98 117.59 117.41 118.31 118.4 [5,] 112.85 114.37 113.68 118 118.27 119.2 117.98 117.59 117.41 118.31 118.4 [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [,41] [,42] [1,] 117.92 118.94 118.81 117.44 120.21 119.74 118.79 118.19 119.16 118.88 [2,] 117.92 118.94 118.81 117.44 120.21 119.74 118.79 118.19 119.16 118.88 [3,] 117.92 118.94 118.81 117.44 120.21 119.74 118.79 118.19 119.16 118.88 [4,] 117.92 118.94 118.81 117.44 120.21 119.74 118.79 118.19 119.16 118.88 [5,] 117.92 118.94 118.81 117.44 120.21 119.74 118.79 118.19 119.16 118.88 [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50] [,51] [,52] [1,] 119.59 119.44 119.84 119.31 118.15 118.23 119.89 118.83 118.95 119.86 [2,] 119.59 119.44 119.84 119.31 118.15 118.23 119.89 118.83 118.95 119.86 [3,] 119.59 119.44 119.84 119.31 118.15 118.23 119.89 118.83 118.95 119.86 [4,] 119.59 119.44 119.84 119.31 118.15 118.23 119.89 118.83 118.95 119.86 [5,] 119.59 119.44 119.84 119.31 118.15 118.23 119.89 118.83 118.95 119.86 [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [1,] 119.07 119.52 119.92 119.68 119.81 120.09 119.98 118.96 [2,] 119.07 119.52 119.92 119.68 119.81 120.09 119.98 118.96 [3,] 119.07 119.52 119.92 119.68 119.81 120.09 119.98 118.96 [4,] 119.07 119.52 119.92 119.68 119.81 120.09 119.98 118.96 [5,] 119.07 119.52 119.92 119.68 119.81 120.09 119.98 118.96 $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 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] 110.27 110.91 110.27 109.41 111.47 110.77 110.83 110.52 110.44 109.99 [2,] 110.27 110.91 110.27 109.41 111.47 110.77 110.83 110.52 110.44 109.99 [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [1,] 110.55 109.99 111.2 111.81 110.36 111.24 112.6 111.75 112.49 111.94 113.22 [2,] 110.55 109.99 111.2 111.81 110.36 111.24 112.6 111.75 112.49 111.94 113.22 [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [1,] 112.85 114.37 113.68 118 118.27 119.2 117.98 117.59 117.41 118.31 118.4 [2,] 112.85 114.37 113.68 118 118.27 119.2 117.98 117.59 117.41 118.31 118.4 [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [,41] [,42] [1,] 117.92 118.94 118.81 117.44 120.21 119.74 118.79 118.19 119.16 118.88 [2,] 117.92 118.94 118.81 117.44 120.21 119.74 118.79 118.19 119.16 118.88 [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50] [,51] [,52] [1,] 119.59 119.44 119.84 119.31 118.15 118.23 119.89 118.83 118.95 119.86 [2,] 119.59 119.44 119.84 119.31 118.15 118.23 119.89 118.83 118.95 119.86 [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [1,] 119.07 119.52 119.92 119.68 119.81 120.09 119.98 118.96 [2,] 119.07 119.52 119.92 119.68 119.81 120.09 119.98 118.96 $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" > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/5eadx1457217444.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,] 0.64 -0.64 -0.86 2.06 -0.7 0.06 -0.31 -0.08 -0.45 0.56 -0.56 1.21 0.61 [2,] 0.64 -0.64 -0.86 2.06 -0.7 0.06 -0.31 -0.08 -0.45 0.56 -0.56 1.21 0.61 [3,] 0.64 -0.64 -0.86 2.06 -0.7 0.06 -0.31 -0.08 -0.45 0.56 -0.56 1.21 0.61 [4,] 0.64 -0.64 -0.86 2.06 -0.7 0.06 -0.31 -0.08 -0.45 0.56 -0.56 1.21 0.61 [5,] 0.64 -0.64 -0.86 2.06 -0.7 0.06 -0.31 -0.08 -0.45 0.56 -0.56 1.21 0.61 [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [1,] -1.45 0.88 1.36 -0.85 0.74 -0.55 1.28 -0.37 1.52 -0.69 4.32 0.27 [2,] -1.45 0.88 1.36 -0.85 0.74 -0.55 1.28 -0.37 1.52 -0.69 4.32 0.27 [3,] -1.45 0.88 1.36 -0.85 0.74 -0.55 1.28 -0.37 1.52 -0.69 4.32 0.27 [4,] -1.45 0.88 1.36 -0.85 0.74 -0.55 1.28 -0.37 1.52 -0.69 4.32 0.27 [5,] -1.45 0.88 1.36 -0.85 0.74 -0.55 1.28 -0.37 1.52 -0.69 4.32 0.27 [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [1,] 0.93 -1.22 -0.39 -0.18 0.9 0.09 -0.48 1.02 -0.13 -1.37 2.77 -0.47 [2,] 0.93 -1.22 -0.39 -0.18 0.9 0.09 -0.48 1.02 -0.13 -1.37 2.77 -0.47 [3,] 0.93 -1.22 -0.39 -0.18 0.9 0.09 -0.48 1.02 -0.13 -1.37 2.77 -0.47 [4,] 0.93 -1.22 -0.39 -0.18 0.9 0.09 -0.48 1.02 -0.13 -1.37 2.77 -0.47 [5,] 0.93 -1.22 -0.39 -0.18 0.9 0.09 -0.48 1.02 -0.13 -1.37 2.77 -0.47 [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [1,] -0.95 -0.6 0.97 -0.28 0.71 -0.15 0.4 -0.53 -1.16 0.08 1.66 -1.06 [2,] -0.95 -0.6 0.97 -0.28 0.71 -0.15 0.4 -0.53 -1.16 0.08 1.66 -1.06 [3,] -0.95 -0.6 0.97 -0.28 0.71 -0.15 0.4 -0.53 -1.16 0.08 1.66 -1.06 [4,] -0.95 -0.6 0.97 -0.28 0.71 -0.15 0.4 -0.53 -1.16 0.08 1.66 -1.06 [5,] -0.95 -0.6 0.97 -0.28 0.71 -0.15 0.4 -0.53 -1.16 0.08 1.66 -1.06 [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [1,] 0.12 0.91 -0.79 0.45 0.4 -0.24 0.13 0.28 -0.11 -1.02 NA [2,] 0.12 0.91 -0.79 0.45 0.4 -0.24 0.13 0.28 -0.11 -1.02 NA [3,] 0.12 0.91 -0.79 0.45 0.4 -0.24 0.13 0.28 -0.11 -1.02 NA [4,] 0.12 0.91 -0.79 0.45 0.4 -0.24 0.13 0.28 -0.11 -1.02 NA [5,] 0.12 0.91 -0.79 0.45 0.4 -0.24 0.13 0.28 -0.11 -1.02 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 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [1,] 0.64 -0.64 -0.86 2.06 -0.7 0.06 -0.31 -0.08 -0.45 0.56 -0.56 1.21 0.61 [2,] 0.64 -0.64 -0.86 2.06 -0.7 0.06 -0.31 -0.08 -0.45 0.56 -0.56 1.21 0.61 [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [1,] -1.45 0.88 1.36 -0.85 0.74 -0.55 1.28 -0.37 1.52 -0.69 4.32 0.27 [2,] -1.45 0.88 1.36 -0.85 0.74 -0.55 1.28 -0.37 1.52 -0.69 4.32 0.27 [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [1,] 0.93 -1.22 -0.39 -0.18 0.9 0.09 -0.48 1.02 -0.13 -1.37 2.77 -0.47 [2,] 0.93 -1.22 -0.39 -0.18 0.9 0.09 -0.48 1.02 -0.13 -1.37 2.77 -0.47 [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [1,] -0.95 -0.6 0.97 -0.28 0.71 -0.15 0.4 -0.53 -1.16 0.08 1.66 -1.06 [2,] -0.95 -0.6 0.97 -0.28 0.71 -0.15 0.4 -0.53 -1.16 0.08 1.66 -1.06 [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [1,] 0.12 0.91 -0.79 0.45 0.4 -0.24 0.13 0.28 -0.11 -1.02 NA [2,] 0.12 0.91 -0.79 0.45 0.4 -0.24 0.13 0.28 -0.11 -1.02 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" > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/68fk11457217444.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,] 109.410 NA [2,] 111.610 NA [3,] 118.075 NA [4,] 119.180 NA [5,] 120.210 NA $n [1] 60 0 $conf [,1] [,2] [1,] 116.5309 NA [2,] 119.6191 NA $out numeric(0) $group numeric(0) $names [1] "1" NA Warning message: In bxp(list(stats = c(109.41, 111.61, 118.075, 119.18, 120.21, NA, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/72vz31457217444.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,] 109.410 109.410 109.410 [2,] 111.610 111.610 111.610 [3,] 118.075 118.075 118.075 [4,] 119.180 119.180 119.180 [5,] 120.210 120.210 120.210 $n [1] 60 60 60 $conf [,1] [,2] [,3] [1,] 116.5309 116.5309 116.5309 [2,] 119.6191 119.6191 119.6191 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" Warning message: In bxp(list(stats = c(109.41, 111.61, 118.075, 119.18, 120.21, 109.41, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > try(system("convert tmp/1hngd1457217444.ps tmp/1hngd1457217444.png",intern=TRUE)) character(0) > try(system("convert tmp/250yy1457217444.ps tmp/250yy1457217444.png",intern=TRUE)) character(0) > try(system("convert tmp/3to9c1457217444.ps tmp/3to9c1457217444.png",intern=TRUE)) character(0) > try(system("convert tmp/4yk571457217444.ps tmp/4yk571457217444.png",intern=TRUE)) character(0) > try(system("convert tmp/5eadx1457217444.ps tmp/5eadx1457217444.png",intern=TRUE)) character(0) > try(system("convert tmp/68fk11457217444.ps tmp/68fk11457217444.png",intern=TRUE)) character(0) > try(system("convert tmp/72vz31457217444.ps tmp/72vz31457217444.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.455 0.372 2.861