R version 3.3.2 (2016-10-31) -- "Sincere Pumpkin Patch"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(103.75,103.89,104.01,104.28,104.34,104.48,104.56,104.71,104.79,104.87,104.95,105,105.05,105.57,105.98,106.45,107.13,107.87,108.56,109.04,109.98,110.4,110.99,111.23,111.76,112.18,112.88,113.54,114.11,114.8,115.56,116.03,116.98,117.65,118.12,118.6,119.03,119.82,120.76,121.4,122.12,123.08,123.86,124.46,125.14,125.89,126.32,126.93,127.48,128.28,129.11,130.23,131.04,132.2,133.12,134.48,135.74,136.88,138.12,139.99)
> par1 = '12'
> par1 <- '12'
> #'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] 5
> 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] 5 5 5 5 5 5 5 5 5 5 5 5
> arr
        [,1]   [,2]   [,3]   [,4]   [,5] [,6]
 [1,] 103.75 105.05 111.76 119.03 127.48   NA
 [2,] 103.89 105.57 112.18 119.82 128.28   NA
 [3,] 104.01 105.98 112.88 120.76 129.11   NA
 [4,] 104.28 106.45 113.54 121.40 130.23   NA
 [5,] 104.34 107.13 114.11 122.12 131.04   NA
 [6,] 104.48 107.87 114.80 123.08 132.20   NA
 [7,] 104.56 108.56 115.56 123.86 133.12   NA
 [8,] 104.71 109.04 116.03 124.46 134.48   NA
 [9,] 104.79 109.98 116.98 125.14 135.74   NA
[10,] 104.87 110.40 117.65 125.89 136.88   NA
[11,] 104.95 110.99 118.12 126.32 138.12   NA
[12,] 105.00 111.23 118.60 126.93 139.99   NA
> darr
      [,1] [,2] [,3] [,4] [,5] [,6]
 [1,] 0.14 0.52 0.42 0.79 0.80   NA
 [2,] 0.12 0.41 0.70 0.94 0.83   NA
 [3,] 0.27 0.47 0.66 0.64 1.12   NA
 [4,] 0.06 0.68 0.57 0.72 0.81   NA
 [5,] 0.14 0.74 0.69 0.96 1.16   NA
 [6,] 0.08 0.69 0.76 0.78 0.92   NA
 [7,] 0.15 0.48 0.47 0.60 1.36   NA
 [8,] 0.08 0.94 0.95 0.68 1.26   NA
 [9,] 0.08 0.42 0.67 0.75 1.14   NA
[10,] 0.08 0.59 0.47 0.43 1.24   NA
[11,] 0.05 0.24 0.48 0.61 1.87   NA
[12,] 0.05 0.53 0.43 0.55   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/1lagx1483464104.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/2m55b1483464104.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/3br251483464104.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/4wkxi1483464104.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,] 103.75 103.89 104.01 104.28 104.34 104.48 104.56 104.71 104.79 104.87
[2,] 105.05 105.57 105.98 106.45 107.13 107.87 108.56 109.04 109.98 110.40
[3,] 111.76 112.18 112.88 113.54 114.11 114.80 115.56 116.03 116.98 117.65
[4,] 119.03 119.82 120.76 121.40 122.12 123.08 123.86 124.46 125.14 125.89
[5,] 127.48 128.28 129.11 130.23 131.04 132.20 133.12 134.48 135.74 136.88
      [,11]  [,12]
[1,] 104.95 105.00
[2,] 110.99 111.23
[3,] 118.12 118.60
[4,] 126.32 126.93
[5,] 138.12 139.99

$n
 [1] 5 5 5 5 5 5 5 5 5 5 5 5

$conf
         [,1]    [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 101.8818 102.111 102.4365 102.9764 103.5181 104.0527 104.7491 105.1343
[2,] 121.6382 122.249 123.3235 124.1036 124.7019 125.5473 126.3709 126.9257
        [,9]    [,10]    [,11]    [,12]
[1,] 106.268 106.7048 107.2879 107.5064
[2,] 127.692 128.5952 128.9521 129.6936

$out
numeric(0)

$group
numeric(0)

$names
 [1] "1"  "2"  "3"  "4"  "5"  "6"  "7"  "8"  "9"  "10" "11" "12"

Warning message:
In bxp(list(stats = c(103.75, 105.05, 111.76, 119.03, 127.48, 103.89,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5zrie1483464104.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]
[1,] 0.14 0.12 0.27 0.57 0.69 0.69 0.47 0.68 0.08  0.43  0.05  0.05
[2,] 0.42 0.41 0.47 0.57 0.69 0.69 0.47 0.68 0.42  0.43  0.24  0.24
[3,] 0.52 0.70 0.64 0.68 0.74 0.76 0.48 0.94 0.67  0.47  0.48  0.48
[4,] 0.79 0.83 0.66 0.72 0.96 0.78 0.60 0.95 0.75  0.59  0.61  0.54
[5,] 0.80 0.94 0.66 0.81 1.16 0.78 0.60 1.26 1.14  0.59  0.61  0.55

$n
 [1] 5 5 5 5 5 5 5 5 5 5 5 4

$conf
          [,1]      [,2]      [,3]      [,4]      [,5]      [,6]      [,7]
[1,] 0.2585589 0.4032291 0.5057465 0.5740104 0.5492187 0.6964062 0.3881423
[2,] 0.7814411 0.9967709 0.7742535 0.7859896 0.9307813 0.8235938 0.5718577
          [,8]      [,9]     [,10]     [,11] [,12]
[1,] 0.7492187 0.4368228 0.3569444 0.2185589 0.243
[2,] 1.1307813 0.9031772 0.5830556 0.7414411 0.717

$out
 [1] 1.12 0.06 0.14 0.08 0.92 0.15 1.36 0.08 0.08 1.24 1.87

$group
 [1]  3  4  5  6  6  7  7  8 10 10 11

$names
 [1] "1"  "2"  "3"  "4"  "5"  "6"  "7"  "8"  "9"  "10" "11" "12"

Warning message:
In bxp(list(stats = c(0.140000000000001, 0.420000000000002, 0.519999999999996,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/65scz1483464104.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]    [,3]    [,4]   [,5] [,6]
[1,] 103.750 105.050 111.760 119.030 127.48   NA
[2,] 104.145 106.215 113.210 121.080 129.67   NA
[3,] 104.520 108.215 115.180 123.470 132.66   NA
[4,] 104.830 110.190 117.315 125.515 136.31   NA
[5,] 105.000 111.230 118.600 126.930 139.99   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]    [,2]     [,3]     [,4]     [,5] [,6]
[1,] 104.2076 106.402 113.3077 121.4472 129.6315   NA
[2,] 104.8324 110.028 117.0523 125.4928 135.6885   NA

$out
numeric(0)

$group
numeric(0)

$names
[1] "1" "2" "3" "4" "5" NA 

Warning message:
In bxp(list(stats = c(103.75, 104.145, 104.52, 104.83, 105, 105.05,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/708yf1483464104.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,] 113.414 111.760 112.0400
[2,] 114.864 113.210 113.6475
[3,] 116.809 115.180 115.8425
[4,] 118.832 117.315 117.8525
[5,] 120.350 118.600 119.0800

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 114.9992 113.3077 113.9246
[2,] 118.6188 117.0523 117.7604

$out
numeric(0)

$group
numeric(0)

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

> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1lagx1483464104.ps tmp/1lagx1483464104.png",intern=TRUE))
character(0)
> try(system("convert tmp/2m55b1483464104.ps tmp/2m55b1483464104.png",intern=TRUE))
character(0)
> try(system("convert tmp/3br251483464104.ps tmp/3br251483464104.png",intern=TRUE))
character(0)
> try(system("convert tmp/4wkxi1483464104.ps tmp/4wkxi1483464104.png",intern=TRUE))
character(0)
> try(system("convert tmp/5zrie1483464104.ps tmp/5zrie1483464104.png",intern=TRUE))
character(0)
> try(system("convert tmp/65scz1483464104.ps tmp/65scz1483464104.png",intern=TRUE))
character(0)
> try(system("convert tmp/708yf1483464104.ps tmp/708yf1483464104.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.865   0.272   3.226