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(90.75,92.82,97.78,99.32,98.33,98.66,98.13,97.8,99.36,100.37,103.22,101.68,104.39,103.99,106.71,106.06,103.5,100.17,101.1,105.93,108.09,107.27,104.9,102.7,102.06,103.05,102.08,100.13,97.56,97.38,99.66,99.58,102.7,98.92,97.85,99.01,97.71,97.95,97.24,96.69,96.41,96.99,98.36,97.8,96.79,94.73,92.67,87.15,79.54,82.35,86.38,84.75,87.54,86.73,84.74,80.75,79.28,78.52,78.54,77.33)
> 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,]  90.75   NA
 [2,]  92.82   NA
 [3,]  97.78   NA
 [4,]  99.32   NA
 [5,]  98.33   NA
 [6,]  98.66   NA
 [7,]  98.13   NA
 [8,]  97.80   NA
 [9,]  99.36   NA
[10,] 100.37   NA
[11,] 103.22   NA
[12,] 101.68   NA
[13,] 104.39   NA
[14,] 103.99   NA
[15,] 106.71   NA
[16,] 106.06   NA
[17,] 103.50   NA
[18,] 100.17   NA
[19,] 101.10   NA
[20,] 105.93   NA
[21,] 108.09   NA
[22,] 107.27   NA
[23,] 104.90   NA
[24,] 102.70   NA
[25,] 102.06   NA
[26,] 103.05   NA
[27,] 102.08   NA
[28,] 100.13   NA
[29,]  97.56   NA
[30,]  97.38   NA
[31,]  99.66   NA
[32,]  99.58   NA
[33,] 102.70   NA
[34,]  98.92   NA
[35,]  97.85   NA
[36,]  99.01   NA
[37,]  97.71   NA
[38,]  97.95   NA
[39,]  97.24   NA
[40,]  96.69   NA
[41,]  96.41   NA
[42,]  96.99   NA
[43,]  98.36   NA
[44,]  97.80   NA
[45,]  96.79   NA
[46,]  94.73   NA
[47,]  92.67   NA
[48,]  87.15   NA
[49,]  79.54   NA
[50,]  82.35   NA
[51,]  86.38   NA
[52,]  84.75   NA
[53,]  87.54   NA
[54,]  86.73   NA
[55,]  84.74   NA
[56,]  80.75   NA
[57,]  79.28   NA
[58,]  78.52   NA
[59,]  78.54   NA
[60,]  77.33   NA
> darr
       [,1] [,2]
 [1,]  2.07   NA
 [2,]  4.96   NA
 [3,]  1.54   NA
 [4,] -0.99   NA
 [5,]  0.33   NA
 [6,] -0.53   NA
 [7,] -0.33   NA
 [8,]  1.56   NA
 [9,]  1.01   NA
[10,]  2.85   NA
[11,] -1.54   NA
[12,]  2.71   NA
[13,] -0.40   NA
[14,]  2.72   NA
[15,] -0.65   NA
[16,] -2.56   NA
[17,] -3.33   NA
[18,]  0.93   NA
[19,]  4.83   NA
[20,]  2.16   NA
[21,] -0.82   NA
[22,] -2.37   NA
[23,] -2.20   NA
[24,] -0.64   NA
[25,]  0.99   NA
[26,] -0.97   NA
[27,] -1.95   NA
[28,] -2.57   NA
[29,] -0.18   NA
[30,]  2.28   NA
[31,] -0.08   NA
[32,]  3.12   NA
[33,] -3.78   NA
[34,] -1.07   NA
[35,]  1.16   NA
[36,] -1.30   NA
[37,]  0.24   NA
[38,] -0.71   NA
[39,] -0.55   NA
[40,] -0.28   NA
[41,]  0.58   NA
[42,]  1.37   NA
[43,] -0.56   NA
[44,] -1.01   NA
[45,] -2.06   NA
[46,] -2.06   NA
[47,] -5.52   NA
[48,] -7.61   NA
[49,]  2.81   NA
[50,]  4.03   NA
[51,] -1.63   NA
[52,]  2.79   NA
[53,] -0.81   NA
[54,] -1.99   NA
[55,] -3.99   NA
[56,] -1.47   NA
[57,] -0.76   NA
[58,]  0.02   NA
[59,] -1.21   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/1t1xo1457194140.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/2bi2u1457194140.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/3rdc41457194140.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/427lu1457194140.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,] 90.75 92.82 97.78 99.32 98.33 98.66 98.13 97.8 99.36 100.37 103.22 101.68
[2,] 90.75 92.82 97.78 99.32 98.33 98.66 98.13 97.8 99.36 100.37 103.22 101.68
[3,] 90.75 92.82 97.78 99.32 98.33 98.66 98.13 97.8 99.36 100.37 103.22 101.68
[4,] 90.75 92.82 97.78 99.32 98.33 98.66 98.13 97.8 99.36 100.37 103.22 101.68
[5,] 90.75 92.82 97.78 99.32 98.33 98.66 98.13 97.8 99.36 100.37 103.22 101.68
      [,13]  [,14]  [,15]  [,16] [,17]  [,18] [,19]  [,20]  [,21]  [,22] [,23]
[1,] 104.39 103.99 106.71 106.06 103.5 100.17 101.1 105.93 108.09 107.27 104.9
[2,] 104.39 103.99 106.71 106.06 103.5 100.17 101.1 105.93 108.09 107.27 104.9
[3,] 104.39 103.99 106.71 106.06 103.5 100.17 101.1 105.93 108.09 107.27 104.9
[4,] 104.39 103.99 106.71 106.06 103.5 100.17 101.1 105.93 108.09 107.27 104.9
[5,] 104.39 103.99 106.71 106.06 103.5 100.17 101.1 105.93 108.09 107.27 104.9
     [,24]  [,25]  [,26]  [,27]  [,28] [,29] [,30] [,31] [,32] [,33] [,34]
[1,] 102.7 102.06 103.05 102.08 100.13 97.56 97.38 99.66 99.58 102.7 98.92
[2,] 102.7 102.06 103.05 102.08 100.13 97.56 97.38 99.66 99.58 102.7 98.92
[3,] 102.7 102.06 103.05 102.08 100.13 97.56 97.38 99.66 99.58 102.7 98.92
[4,] 102.7 102.06 103.05 102.08 100.13 97.56 97.38 99.66 99.58 102.7 98.92
[5,] 102.7 102.06 103.05 102.08 100.13 97.56 97.38 99.66 99.58 102.7 98.92
     [,35] [,36] [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46]
[1,] 97.85 99.01 97.71 97.95 97.24 96.69 96.41 96.99 98.36  97.8 96.79 94.73
[2,] 97.85 99.01 97.71 97.95 97.24 96.69 96.41 96.99 98.36  97.8 96.79 94.73
[3,] 97.85 99.01 97.71 97.95 97.24 96.69 96.41 96.99 98.36  97.8 96.79 94.73
[4,] 97.85 99.01 97.71 97.95 97.24 96.69 96.41 96.99 98.36  97.8 96.79 94.73
[5,] 97.85 99.01 97.71 97.95 97.24 96.69 96.41 96.99 98.36  97.8 96.79 94.73
     [,47] [,48] [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58]
[1,] 92.67 87.15 79.54 82.35 86.38 84.75 87.54 86.73 84.74 80.75 79.28 78.52
[2,] 92.67 87.15 79.54 82.35 86.38 84.75 87.54 86.73 84.74 80.75 79.28 78.52
[3,] 92.67 87.15 79.54 82.35 86.38 84.75 87.54 86.73 84.74 80.75 79.28 78.52
[4,] 92.67 87.15 79.54 82.35 86.38 84.75 87.54 86.73 84.74 80.75 79.28 78.52
[5,] 92.67 87.15 79.54 82.35 86.38 84.75 87.54 86.73 84.74 80.75 79.28 78.52
     [,59] [,60]
[1,] 78.54 77.33
[2,] 78.54 77.33
[3,] 78.54 77.33
[4,] 78.54 77.33
[5,] 78.54 77.33

$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,] 90.75 92.82 97.78 99.32 98.33 98.66 98.13 97.8 99.36 100.37 103.22 101.68
[2,] 90.75 92.82 97.78 99.32 98.33 98.66 98.13 97.8 99.36 100.37 103.22 101.68
      [,13]  [,14]  [,15]  [,16] [,17]  [,18] [,19]  [,20]  [,21]  [,22] [,23]
[1,] 104.39 103.99 106.71 106.06 103.5 100.17 101.1 105.93 108.09 107.27 104.9
[2,] 104.39 103.99 106.71 106.06 103.5 100.17 101.1 105.93 108.09 107.27 104.9
     [,24]  [,25]  [,26]  [,27]  [,28] [,29] [,30] [,31] [,32] [,33] [,34]
[1,] 102.7 102.06 103.05 102.08 100.13 97.56 97.38 99.66 99.58 102.7 98.92
[2,] 102.7 102.06 103.05 102.08 100.13 97.56 97.38 99.66 99.58 102.7 98.92
     [,35] [,36] [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46]
[1,] 97.85 99.01 97.71 97.95 97.24 96.69 96.41 96.99 98.36  97.8 96.79 94.73
[2,] 97.85 99.01 97.71 97.95 97.24 96.69 96.41 96.99 98.36  97.8 96.79 94.73
     [,47] [,48] [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58]
[1,] 92.67 87.15 79.54 82.35 86.38 84.75 87.54 86.73 84.74 80.75 79.28 78.52
[2,] 92.67 87.15 79.54 82.35 86.38 84.75 87.54 86.73 84.74 80.75 79.28 78.52
     [,59] [,60]
[1,] 78.54 77.33
[2,] 78.54 77.33

$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/5krdd1457194140.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,] 2.07 4.96 1.54 -0.99 0.33 -0.53 -0.33 1.56 1.01  2.85 -1.54  2.71  -0.4
[2,] 2.07 4.96 1.54 -0.99 0.33 -0.53 -0.33 1.56 1.01  2.85 -1.54  2.71  -0.4
[3,] 2.07 4.96 1.54 -0.99 0.33 -0.53 -0.33 1.56 1.01  2.85 -1.54  2.71  -0.4
[4,] 2.07 4.96 1.54 -0.99 0.33 -0.53 -0.33 1.56 1.01  2.85 -1.54  2.71  -0.4
[5,] 2.07 4.96 1.54 -0.99 0.33 -0.53 -0.33 1.56 1.01  2.85 -1.54  2.71  -0.4
     [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
[1,]  2.72 -0.65 -2.56 -3.33  0.93  4.83  2.16 -0.82 -2.37  -2.2 -0.64  0.99
[2,]  2.72 -0.65 -2.56 -3.33  0.93  4.83  2.16 -0.82 -2.37  -2.2 -0.64  0.99
[3,]  2.72 -0.65 -2.56 -3.33  0.93  4.83  2.16 -0.82 -2.37  -2.2 -0.64  0.99
[4,]  2.72 -0.65 -2.56 -3.33  0.93  4.83  2.16 -0.82 -2.37  -2.2 -0.64  0.99
[5,]  2.72 -0.65 -2.56 -3.33  0.93  4.83  2.16 -0.82 -2.37  -2.2 -0.64  0.99
     [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37]
[1,] -0.97 -1.95 -2.57 -0.18  2.28 -0.08  3.12 -3.78 -1.07  1.16  -1.3  0.24
[2,] -0.97 -1.95 -2.57 -0.18  2.28 -0.08  3.12 -3.78 -1.07  1.16  -1.3  0.24
[3,] -0.97 -1.95 -2.57 -0.18  2.28 -0.08  3.12 -3.78 -1.07  1.16  -1.3  0.24
[4,] -0.97 -1.95 -2.57 -0.18  2.28 -0.08  3.12 -3.78 -1.07  1.16  -1.3  0.24
[5,] -0.97 -1.95 -2.57 -0.18  2.28 -0.08  3.12 -3.78 -1.07  1.16  -1.3  0.24
     [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49]
[1,] -0.71 -0.55 -0.28  0.58  1.37 -0.56 -1.01 -2.06 -2.06 -5.52 -7.61  2.81
[2,] -0.71 -0.55 -0.28  0.58  1.37 -0.56 -1.01 -2.06 -2.06 -5.52 -7.61  2.81
[3,] -0.71 -0.55 -0.28  0.58  1.37 -0.56 -1.01 -2.06 -2.06 -5.52 -7.61  2.81
[4,] -0.71 -0.55 -0.28  0.58  1.37 -0.56 -1.01 -2.06 -2.06 -5.52 -7.61  2.81
[5,] -0.71 -0.55 -0.28  0.58  1.37 -0.56 -1.01 -2.06 -2.06 -5.52 -7.61  2.81
     [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60]
[1,]  4.03 -1.63  2.79 -0.81 -1.99 -3.99 -1.47 -0.76  0.02 -1.21    NA
[2,]  4.03 -1.63  2.79 -0.81 -1.99 -3.99 -1.47 -0.76  0.02 -1.21    NA
[3,]  4.03 -1.63  2.79 -0.81 -1.99 -3.99 -1.47 -0.76  0.02 -1.21    NA
[4,]  4.03 -1.63  2.79 -0.81 -1.99 -3.99 -1.47 -0.76  0.02 -1.21    NA
[5,]  4.03 -1.63  2.79 -0.81 -1.99 -3.99 -1.47 -0.76  0.02 -1.21    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,] 2.07 4.96 1.54 -0.99 0.33 -0.53 -0.33 1.56 1.01  2.85 -1.54  2.71  -0.4
[2,] 2.07 4.96 1.54 -0.99 0.33 -0.53 -0.33 1.56 1.01  2.85 -1.54  2.71  -0.4
     [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
[1,]  2.72 -0.65 -2.56 -3.33  0.93  4.83  2.16 -0.82 -2.37  -2.2 -0.64  0.99
[2,]  2.72 -0.65 -2.56 -3.33  0.93  4.83  2.16 -0.82 -2.37  -2.2 -0.64  0.99
     [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37]
[1,] -0.97 -1.95 -2.57 -0.18  2.28 -0.08  3.12 -3.78 -1.07  1.16  -1.3  0.24
[2,] -0.97 -1.95 -2.57 -0.18  2.28 -0.08  3.12 -3.78 -1.07  1.16  -1.3  0.24
     [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49]
[1,] -0.71 -0.55 -0.28  0.58  1.37 -0.56 -1.01 -2.06 -2.06 -5.52 -7.61  2.81
[2,] -0.71 -0.55 -0.28  0.58  1.37 -0.56 -1.01 -2.06 -2.06 -5.52 -7.61  2.81
     [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60]
[1,]  4.03 -1.63  2.79 -0.81 -1.99 -3.99 -1.47 -0.76  0.02 -1.21    NA
[2,]  4.03 -1.63  2.79 -0.81 -1.99 -3.99 -1.47 -0.76  0.02 -1.21    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/6hlx31457194140.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,]  79.280   NA
[2,]  92.745   NA
[3,]  98.040   NA
[4,] 101.870   NA
[5,] 108.090   NA

$n
[1] 60  0

$conf
         [,1] [,2]
[1,] 96.17871   NA
[2,] 99.90129   NA

$out
[1] 78.52 78.54 77.33

$group
[1] 1 1 1

$names
[1] "1" NA 

> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7mhy01457194140.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,]  79.280  79.280  79.280
[2,]  92.745  92.745  92.745
[3,]  98.040  98.040  98.040
[4,] 101.870 101.870 101.870
[5,] 108.090 108.090 108.090

$n
[1] 60 60 60

$conf
         [,1]     [,2]     [,3]
[1,] 96.17871 96.17871 96.17871
[2,] 99.90129 99.90129 99.90129

$out
[1] 78.52 78.54 77.33 78.52 78.54 77.33 78.52 78.54 77.33

$group
[1] 1 1 1 2 2 2 3 3 3

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

> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1t1xo1457194140.ps tmp/1t1xo1457194140.png",intern=TRUE))
character(0)
> try(system("convert tmp/2bi2u1457194140.ps tmp/2bi2u1457194140.png",intern=TRUE))
character(0)
> try(system("convert tmp/3rdc41457194140.ps tmp/3rdc41457194140.png",intern=TRUE))
character(0)
> try(system("convert tmp/427lu1457194140.ps tmp/427lu1457194140.png",intern=TRUE))
character(0)
> try(system("convert tmp/5krdd1457194140.ps tmp/5krdd1457194140.png",intern=TRUE))
character(0)
> try(system("convert tmp/6hlx31457194140.ps tmp/6hlx31457194140.png",intern=TRUE))
character(0)
> try(system("convert tmp/7mhy01457194140.ps tmp/7mhy01457194140.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.842   0.476   3.350