R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(92.1,93.91,95.46,94.54,95.63,96.32,96.42,96.95,96.52,96.82,96.4,96.69,96.72,98.57,98.6,96.44,97.09,97.36,97.74,96.78,96.45,97.66,98.69,98.21,97.33,99.05,100.09,98.1,97.68,97.44,99.19,98.32,97.83,97.71,97.51,97.62,96.49,98.92,99.69,97.06,97.63,97.97,99.01,97.89,97.23,96.93,96.97,97.68,97.73,99.03,100.35,99.38,99.3,99.77,101.11,101.15,101.59,100.95,99.23,100.41)
> 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,]  92.10   NA
 [2,]  93.91   NA
 [3,]  95.46   NA
 [4,]  94.54   NA
 [5,]  95.63   NA
 [6,]  96.32   NA
 [7,]  96.42   NA
 [8,]  96.95   NA
 [9,]  96.52   NA
[10,]  96.82   NA
[11,]  96.40   NA
[12,]  96.69   NA
[13,]  96.72   NA
[14,]  98.57   NA
[15,]  98.60   NA
[16,]  96.44   NA
[17,]  97.09   NA
[18,]  97.36   NA
[19,]  97.74   NA
[20,]  96.78   NA
[21,]  96.45   NA
[22,]  97.66   NA
[23,]  98.69   NA
[24,]  98.21   NA
[25,]  97.33   NA
[26,]  99.05   NA
[27,] 100.09   NA
[28,]  98.10   NA
[29,]  97.68   NA
[30,]  97.44   NA
[31,]  99.19   NA
[32,]  98.32   NA
[33,]  97.83   NA
[34,]  97.71   NA
[35,]  97.51   NA
[36,]  97.62   NA
[37,]  96.49   NA
[38,]  98.92   NA
[39,]  99.69   NA
[40,]  97.06   NA
[41,]  97.63   NA
[42,]  97.97   NA
[43,]  99.01   NA
[44,]  97.89   NA
[45,]  97.23   NA
[46,]  96.93   NA
[47,]  96.97   NA
[48,]  97.68   NA
[49,]  97.73   NA
[50,]  99.03   NA
[51,] 100.35   NA
[52,]  99.38   NA
[53,]  99.30   NA
[54,]  99.77   NA
[55,] 101.11   NA
[56,] 101.15   NA
[57,] 101.59   NA
[58,] 100.95   NA
[59,]  99.23   NA
[60,] 100.41   NA
> darr
       [,1] [,2]
 [1,]  1.81   NA
 [2,]  1.55   NA
 [3,] -0.92   NA
 [4,]  1.09   NA
 [5,]  0.69   NA
 [6,]  0.10   NA
 [7,]  0.53   NA
 [8,] -0.43   NA
 [9,]  0.30   NA
[10,] -0.42   NA
[11,]  0.29   NA
[12,]  0.03   NA
[13,]  1.85   NA
[14,]  0.03   NA
[15,] -2.16   NA
[16,]  0.65   NA
[17,]  0.27   NA
[18,]  0.38   NA
[19,] -0.96   NA
[20,] -0.33   NA
[21,]  1.21   NA
[22,]  1.03   NA
[23,] -0.48   NA
[24,] -0.88   NA
[25,]  1.72   NA
[26,]  1.04   NA
[27,] -1.99   NA
[28,] -0.42   NA
[29,] -0.24   NA
[30,]  1.75   NA
[31,] -0.87   NA
[32,] -0.49   NA
[33,] -0.12   NA
[34,] -0.20   NA
[35,]  0.11   NA
[36,] -1.13   NA
[37,]  2.43   NA
[38,]  0.77   NA
[39,] -2.63   NA
[40,]  0.57   NA
[41,]  0.34   NA
[42,]  1.04   NA
[43,] -1.12   NA
[44,] -0.66   NA
[45,] -0.30   NA
[46,]  0.04   NA
[47,]  0.71   NA
[48,]  0.05   NA
[49,]  1.30   NA
[50,]  1.32   NA
[51,] -0.97   NA
[52,] -0.08   NA
[53,]  0.47   NA
[54,]  1.34   NA
[55,]  0.04   NA
[56,]  0.44   NA
[57,] -0.64   NA
[58,] -1.72   NA
[59,]  1.18   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/1t0hj1476360516.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/29wq51476360516.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/349x21476360516.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/4a6431476360516.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]
[1,] 92.1 93.91 95.46 94.54 95.63 96.32 96.42 96.95 96.52 96.82  96.4 96.69
[2,] 92.1 93.91 95.46 94.54 95.63 96.32 96.42 96.95 96.52 96.82  96.4 96.69
[3,] 92.1 93.91 95.46 94.54 95.63 96.32 96.42 96.95 96.52 96.82  96.4 96.69
[4,] 92.1 93.91 95.46 94.54 95.63 96.32 96.42 96.95 96.52 96.82  96.4 96.69
[5,] 92.1 93.91 95.46 94.54 95.63 96.32 96.42 96.95 96.52 96.82  96.4 96.69
     [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24]
[1,] 96.72 98.57  98.6 96.44 97.09 97.36 97.74 96.78 96.45 97.66 98.69 98.21
[2,] 96.72 98.57  98.6 96.44 97.09 97.36 97.74 96.78 96.45 97.66 98.69 98.21
[3,] 96.72 98.57  98.6 96.44 97.09 97.36 97.74 96.78 96.45 97.66 98.69 98.21
[4,] 96.72 98.57  98.6 96.44 97.09 97.36 97.74 96.78 96.45 97.66 98.69 98.21
[5,] 96.72 98.57  98.6 96.44 97.09 97.36 97.74 96.78 96.45 97.66 98.69 98.21
     [,25] [,26]  [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36]
[1,] 97.33 99.05 100.09  98.1 97.68 97.44 99.19 98.32 97.83 97.71 97.51 97.62
[2,] 97.33 99.05 100.09  98.1 97.68 97.44 99.19 98.32 97.83 97.71 97.51 97.62
[3,] 97.33 99.05 100.09  98.1 97.68 97.44 99.19 98.32 97.83 97.71 97.51 97.62
[4,] 97.33 99.05 100.09  98.1 97.68 97.44 99.19 98.32 97.83 97.71 97.51 97.62
[5,] 97.33 99.05 100.09  98.1 97.68 97.44 99.19 98.32 97.83 97.71 97.51 97.62
     [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48]
[1,] 96.49 98.92 99.69 97.06 97.63 97.97 99.01 97.89 97.23 96.93 96.97 97.68
[2,] 96.49 98.92 99.69 97.06 97.63 97.97 99.01 97.89 97.23 96.93 96.97 97.68
[3,] 96.49 98.92 99.69 97.06 97.63 97.97 99.01 97.89 97.23 96.93 96.97 97.68
[4,] 96.49 98.92 99.69 97.06 97.63 97.97 99.01 97.89 97.23 96.93 96.97 97.68
[5,] 96.49 98.92 99.69 97.06 97.63 97.97 99.01 97.89 97.23 96.93 96.97 97.68
     [,49] [,50]  [,51] [,52] [,53] [,54]  [,55]  [,56]  [,57]  [,58] [,59]
[1,] 97.73 99.03 100.35 99.38  99.3 99.77 101.11 101.15 101.59 100.95 99.23
[2,] 97.73 99.03 100.35 99.38  99.3 99.77 101.11 101.15 101.59 100.95 99.23
[3,] 97.73 99.03 100.35 99.38  99.3 99.77 101.11 101.15 101.59 100.95 99.23
[4,] 97.73 99.03 100.35 99.38  99.3 99.77 101.11 101.15 101.59 100.95 99.23
[5,] 97.73 99.03 100.35 99.38  99.3 99.77 101.11 101.15 101.59 100.95 99.23
      [,60]
[1,] 100.41
[2,] 100.41
[3,] 100.41
[4,] 100.41
[5,] 100.41

$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] [,11] [,12]
[1,] 92.1 93.91 95.46 94.54 95.63 96.32 96.42 96.95 96.52 96.82  96.4 96.69
[2,] 92.1 93.91 95.46 94.54 95.63 96.32 96.42 96.95 96.52 96.82  96.4 96.69
     [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24]
[1,] 96.72 98.57  98.6 96.44 97.09 97.36 97.74 96.78 96.45 97.66 98.69 98.21
[2,] 96.72 98.57  98.6 96.44 97.09 97.36 97.74 96.78 96.45 97.66 98.69 98.21
     [,25] [,26]  [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36]
[1,] 97.33 99.05 100.09  98.1 97.68 97.44 99.19 98.32 97.83 97.71 97.51 97.62
[2,] 97.33 99.05 100.09  98.1 97.68 97.44 99.19 98.32 97.83 97.71 97.51 97.62
     [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48]
[1,] 96.49 98.92 99.69 97.06 97.63 97.97 99.01 97.89 97.23 96.93 96.97 97.68
[2,] 96.49 98.92 99.69 97.06 97.63 97.97 99.01 97.89 97.23 96.93 96.97 97.68
     [,49] [,50]  [,51] [,52] [,53] [,54]  [,55]  [,56]  [,57]  [,58] [,59]
[1,] 97.73 99.03 100.35 99.38  99.3 99.77 101.11 101.15 101.59 100.95 99.23
[2,] 97.73 99.03 100.35 99.38  99.3 99.77 101.11 101.15 101.59 100.95 99.23
      [,60]
[1,] 100.41
[2,] 100.41

$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/5smiq1476360516.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,] 1.81 1.55 -0.92 1.09 0.69  0.1 0.53 -0.43  0.3 -0.42  0.29  0.03  1.85
[2,] 1.81 1.55 -0.92 1.09 0.69  0.1 0.53 -0.43  0.3 -0.42  0.29  0.03  1.85
[3,] 1.81 1.55 -0.92 1.09 0.69  0.1 0.53 -0.43  0.3 -0.42  0.29  0.03  1.85
[4,] 1.81 1.55 -0.92 1.09 0.69  0.1 0.53 -0.43  0.3 -0.42  0.29  0.03  1.85
[5,] 1.81 1.55 -0.92 1.09 0.69  0.1 0.53 -0.43  0.3 -0.42  0.29  0.03  1.85
     [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
[1,]  0.03 -2.16  0.65  0.27  0.38 -0.96 -0.33  1.21  1.03 -0.48 -0.88  1.72
[2,]  0.03 -2.16  0.65  0.27  0.38 -0.96 -0.33  1.21  1.03 -0.48 -0.88  1.72
[3,]  0.03 -2.16  0.65  0.27  0.38 -0.96 -0.33  1.21  1.03 -0.48 -0.88  1.72
[4,]  0.03 -2.16  0.65  0.27  0.38 -0.96 -0.33  1.21  1.03 -0.48 -0.88  1.72
[5,]  0.03 -2.16  0.65  0.27  0.38 -0.96 -0.33  1.21  1.03 -0.48 -0.88  1.72
     [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37]
[1,]  1.04 -1.99 -0.42 -0.24  1.75 -0.87 -0.49 -0.12  -0.2  0.11 -1.13  2.43
[2,]  1.04 -1.99 -0.42 -0.24  1.75 -0.87 -0.49 -0.12  -0.2  0.11 -1.13  2.43
[3,]  1.04 -1.99 -0.42 -0.24  1.75 -0.87 -0.49 -0.12  -0.2  0.11 -1.13  2.43
[4,]  1.04 -1.99 -0.42 -0.24  1.75 -0.87 -0.49 -0.12  -0.2  0.11 -1.13  2.43
[5,]  1.04 -1.99 -0.42 -0.24  1.75 -0.87 -0.49 -0.12  -0.2  0.11 -1.13  2.43
     [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49]
[1,]  0.77 -2.63  0.57  0.34  1.04 -1.12 -0.66  -0.3  0.04  0.71  0.05   1.3
[2,]  0.77 -2.63  0.57  0.34  1.04 -1.12 -0.66  -0.3  0.04  0.71  0.05   1.3
[3,]  0.77 -2.63  0.57  0.34  1.04 -1.12 -0.66  -0.3  0.04  0.71  0.05   1.3
[4,]  0.77 -2.63  0.57  0.34  1.04 -1.12 -0.66  -0.3  0.04  0.71  0.05   1.3
[5,]  0.77 -2.63  0.57  0.34  1.04 -1.12 -0.66  -0.3  0.04  0.71  0.05   1.3
     [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60]
[1,]  1.32 -0.97 -0.08  0.47  1.34  0.04  0.44 -0.64 -1.72  1.18    NA
[2,]  1.32 -0.97 -0.08  0.47  1.34  0.04  0.44 -0.64 -1.72  1.18    NA
[3,]  1.32 -0.97 -0.08  0.47  1.34  0.04  0.44 -0.64 -1.72  1.18    NA
[4,]  1.32 -0.97 -0.08  0.47  1.34  0.04  0.44 -0.64 -1.72  1.18    NA
[5,]  1.32 -0.97 -0.08  0.47  1.34  0.04  0.44 -0.64 -1.72  1.18    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,] 1.81 1.55 -0.92 1.09 0.69  0.1 0.53 -0.43  0.3 -0.42  0.29  0.03  1.85
[2,] 1.81 1.55 -0.92 1.09 0.69  0.1 0.53 -0.43  0.3 -0.42  0.29  0.03  1.85
     [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
[1,]  0.03 -2.16  0.65  0.27  0.38 -0.96 -0.33  1.21  1.03 -0.48 -0.88  1.72
[2,]  0.03 -2.16  0.65  0.27  0.38 -0.96 -0.33  1.21  1.03 -0.48 -0.88  1.72
     [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37]
[1,]  1.04 -1.99 -0.42 -0.24  1.75 -0.87 -0.49 -0.12  -0.2  0.11 -1.13  2.43
[2,]  1.04 -1.99 -0.42 -0.24  1.75 -0.87 -0.49 -0.12  -0.2  0.11 -1.13  2.43
     [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49]
[1,]  0.77 -2.63  0.57  0.34  1.04 -1.12 -0.66  -0.3  0.04  0.71  0.05   1.3
[2,]  0.77 -2.63  0.57  0.34  1.04 -1.12 -0.66  -0.3  0.04  0.71  0.05   1.3
     [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60]
[1,]  1.32 -0.97 -0.08  0.47  1.34  0.04  0.44 -0.64 -1.72  1.18    NA
[2,]  1.32 -0.97 -0.08  0.47  1.34  0.04  0.44 -0.64 -1.72  1.18    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/64d8m1476360516.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,]  93.91   NA
[2,]  96.80   NA
[3,]  97.68   NA
[4,]  99.02   NA
[5,] 101.59   NA

$n
[1] 60  0

$conf
         [,1] [,2]
[1,] 97.22717   NA
[2,] 98.13283   NA

$out
[1] 92.1

$group
[1] 1

$names
[1] "1" NA 

> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7hcsb1476360516.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,]  93.91  93.91  93.91
[2,]  96.80  96.80  96.80
[3,]  97.68  97.68  97.68
[4,]  99.02  99.02  99.02
[5,] 101.59 101.59 101.59

$n
[1] 60 60 60

$conf
         [,1]     [,2]     [,3]
[1,] 97.22717 97.22717 97.22717
[2,] 98.13283 98.13283 98.13283

$out
[1] 92.1 92.1 92.1

$group
[1] 1 2 3

$names
[1] "mean"     "median"   "midrange"

> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1t0hj1476360516.ps tmp/1t0hj1476360516.png",intern=TRUE))
character(0)
> try(system("convert tmp/29wq51476360516.ps tmp/29wq51476360516.png",intern=TRUE))
character(0)
> try(system("convert tmp/349x21476360516.ps tmp/349x21476360516.png",intern=TRUE))
character(0)
> try(system("convert tmp/4a6431476360516.ps tmp/4a6431476360516.png",intern=TRUE))
character(0)
> try(system("convert tmp/5smiq1476360516.ps tmp/5smiq1476360516.png",intern=TRUE))
character(0)
> try(system("convert tmp/64d8m1476360516.ps tmp/64d8m1476360516.png",intern=TRUE))
character(0)
> try(system("convert tmp/7hcsb1476360516.ps tmp/7hcsb1476360516.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.399   0.169   2.598