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)

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> x <- c(99.1,98.9,98.8,98.8,99.2,99.6,100.5,100.6,100.7,101,101.3,101.5,102.3,103,102.9,103.5,103.8,103.6,103.4,103.4,103.3,103.2,103.2,103.5,104.5,105.7,106.5,107,106.7,107.1,106.1,106.2,106.5,106.8,107,107.2,107.8,107.9,107.9,108.2,108.9,109.1,109.3,109.8,109.8,109.9,109.9,109.9,108.8,108.5,108.8,108.8,108.8,108.9,108.8,108.4,107.7,107.3,107,107.7)
> 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,]  99.1 102.3 104.5 107.8 108.8   NA
 [2,]  98.9 103.0 105.7 107.9 108.5   NA
 [3,]  98.8 102.9 106.5 107.9 108.8   NA
 [4,]  98.8 103.5 107.0 108.2 108.8   NA
 [5,]  99.2 103.8 106.7 108.9 108.8   NA
 [6,]  99.6 103.6 107.1 109.1 108.9   NA
 [7,] 100.5 103.4 106.1 109.3 108.8   NA
 [8,] 100.6 103.4 106.2 109.8 108.4   NA
 [9,] 100.7 103.3 106.5 109.8 107.7   NA
[10,] 101.0 103.2 106.8 109.9 107.3   NA
[11,] 101.3 103.2 107.0 109.9 107.0   NA
[12,] 101.5 103.5 107.2 109.9 107.7   NA
> darr
      [,1] [,2] [,3] [,4] [,5] [,6]
 [1,] -0.2  0.7  1.2  0.1 -0.3   NA
 [2,] -0.1 -0.1  0.8  0.0  0.3   NA
 [3,]  0.0  0.6  0.5  0.3  0.0   NA
 [4,]  0.4  0.3 -0.3  0.7  0.0   NA
 [5,]  0.4 -0.2  0.4  0.2  0.1   NA
 [6,]  0.9 -0.2 -1.0  0.2 -0.1   NA
 [7,]  0.1  0.0  0.1  0.5 -0.4   NA
 [8,]  0.1 -0.1  0.3  0.0 -0.7   NA
 [9,]  0.3 -0.1  0.3  0.1 -0.4   NA
[10,]  0.3  0.0  0.2  0.0 -0.3   NA
[11,]  0.2  0.3  0.2  0.0  0.7   NA
[12,]  0.8  1.0  0.6 -1.1   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/1ueuz1452198033.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/2hab51452198033.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/3ytxw1452198033.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/4gjmw1452198033.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,]  99.1  98.9  98.8  98.8  99.2  99.6 100.5 100.6 100.7 101.0 101.3 101.5
[2,] 102.3 103.0 102.9 103.5 103.8 103.6 103.4 103.4 103.3 103.2 103.2 103.5
[3,] 104.5 105.7 106.5 107.0 106.7 107.1 106.1 106.2 106.5 106.8 107.0 107.2
[4,] 107.8 107.9 107.9 108.2 108.8 108.9 108.8 108.4 107.7 107.3 107.0 107.7
[5,] 108.8 108.5 108.8 108.8 108.9 109.1 109.3 109.8 109.8 109.9 109.9 109.9

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

$conf
         [,1]     [,2]    [,3]    [,4]    [,5]    [,6]     [,7]    [,8]    [,9]
[1,] 100.6137 102.2377 102.967 103.679 103.167 103.355 102.2844 102.667 103.391
[2,] 108.3863 109.1623 110.033 110.321 110.233 110.845 109.9156 109.733 109.609
       [,10]    [,11]    [,12]
[1,] 103.903 104.3149 104.2323
[2,] 109.697 109.6851 110.1677

$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(99.1, 102.3, 104.5, 107.8, 108.8, 98.9, 103,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5hmtw1452198033.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,] -0.3 -0.1  0.0 -0.3 -0.2 -0.2  0.0 -0.1 -0.4  -0.3   0.2 -1.10
[2,] -0.2 -0.1  0.0  0.0  0.1 -0.2  0.0 -0.1 -0.1   0.0   0.2 -0.25
[3,]  0.1  0.0  0.3  0.3  0.2 -0.1  0.1  0.0  0.1   0.0   0.2  0.70
[4,]  0.7  0.3  0.5  0.4  0.4  0.2  0.1  0.1  0.3   0.2   0.3  0.90
[5,]  1.2  0.8  0.6  0.7  0.4  0.2  0.1  0.3  0.3   0.3   0.3  1.00

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

$conf
           [,1]      [,2]        [,3]       [,4]        [,5]      [,6]
[1,] -0.5359377 -0.282639 -0.05329874 0.01736101 -0.01197924 -0.382639
[2,]  0.7359377  0.282639  0.65329874 0.58263899  0.41197924  0.182639
           [,7]       [,8]      [,9]      [,10]     [,11]   [,12]
[1,] 0.02934025 -0.1413195 -0.182639 -0.1413195 0.1293403 -0.2085
[2,] 0.17065975  0.1413195  0.382639  0.1413195 0.2706597  1.6085

$out
[1]  0.9 -1.0  0.5 -0.4 -0.7  0.0  0.7

$group
[1]  6  6  7  7  8 11 11

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

Warning message:
In bxp(list(stats = c(-0.299999999999997, -0.199999999999989, 0.100000000000009,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6252l1452198034.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,]  98.80 102.90 105.70 107.80 107.00   NA
[2,]  99.00 103.10 106.15 108.05 107.70   NA
[3,] 100.05 103.35 106.60 109.20 108.65   NA
[4,] 100.85 103.50 107.00 109.85 108.80   NA
[5,] 101.50 103.80 107.20 109.90 108.90   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]     [,2]     [,3]    [,4]     [,5] [,6]
[1,]  99.2062 103.1676 106.2123 108.379 108.1483   NA
[2,] 100.8938 103.5324 106.9877 110.021 109.1517   NA

$out
[1] 102.3 104.5

$group
[1] 2 3

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

Warning message:
In bxp(list(stats = c(98.8, 99, 100.05, 100.85, 101.5, 102.9, 103.1,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7gjld1452198034.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,] 104.50 105.70 105.050
[2,] 105.12 106.15 105.325
[3,] 105.61 106.60 105.550
[4,] 105.67 107.00 106.000
[5,] 105.96 107.20 106.300

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 105.3591 106.2123 105.2421
[2,] 105.8609 106.9877 105.8579

$out
[1] 104.5

$group
[1] 2

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

Warning message:
In bxp(list(stats = c(104.5, 105.12, 105.61, 105.67, 105.96, 105.7,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1ueuz1452198033.ps tmp/1ueuz1452198033.png",intern=TRUE))
character(0)
> try(system("convert tmp/2hab51452198033.ps tmp/2hab51452198033.png",intern=TRUE))
character(0)
> try(system("convert tmp/3ytxw1452198033.ps tmp/3ytxw1452198033.png",intern=TRUE))
character(0)
> try(system("convert tmp/4gjmw1452198033.ps tmp/4gjmw1452198033.png",intern=TRUE))
character(0)
> try(system("convert tmp/5hmtw1452198033.ps tmp/5hmtw1452198033.png",intern=TRUE))
character(0)
> try(system("convert tmp/6252l1452198034.ps tmp/6252l1452198034.png",intern=TRUE))
character(0)
> try(system("convert tmp/7gjld1452198034.ps tmp/7gjld1452198034.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.655   0.502   3.182