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(96.4,96.9,98.1,99.2,100,100.3,100.3,100.8,101.3,101.4,101.9,103.4,105.6,107.5,109,110.5,109.8,109.6,109.6,108.8,109.4,109.1,109,109.2,110.5,112.2,113.2,113.6,113.2,112.2,112.2,113.2,113.8,113.8,113.7,113.9,114,114.3,114.3,112.8,112.3,112.2,112.6,111.9,111.7,111,110.8,111.1,110.5,110.5,109.8,109,109,109.4,108.8,108.4,108.3,108.2,106.8,103.6)
> 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,]  96.4 105.6 110.5 114.0 110.5   NA
 [2,]  96.9 107.5 112.2 114.3 110.5   NA
 [3,]  98.1 109.0 113.2 114.3 109.8   NA
 [4,]  99.2 110.5 113.6 112.8 109.0   NA
 [5,] 100.0 109.8 113.2 112.3 109.0   NA
 [6,] 100.3 109.6 112.2 112.2 109.4   NA
 [7,] 100.3 109.6 112.2 112.6 108.8   NA
 [8,] 100.8 108.8 113.2 111.9 108.4   NA
 [9,] 101.3 109.4 113.8 111.7 108.3   NA
[10,] 101.4 109.1 113.8 111.0 108.2   NA
[11,] 101.9 109.0 113.7 110.8 106.8   NA
[12,] 103.4 109.2 113.9 111.1 103.6   NA
> darr
      [,1] [,2] [,3] [,4] [,5] [,6]
 [1,]  0.5  1.9  1.7  0.3  0.0   NA
 [2,]  1.2  1.5  1.0  0.0 -0.7   NA
 [3,]  1.1  1.5  0.4 -1.5 -0.8   NA
 [4,]  0.8 -0.7 -0.4 -0.5  0.0   NA
 [5,]  0.3 -0.2 -1.0 -0.1  0.4   NA
 [6,]  0.0  0.0  0.0  0.4 -0.6   NA
 [7,]  0.5 -0.8  1.0 -0.7 -0.4   NA
 [8,]  0.5  0.6  0.6 -0.2 -0.1   NA
 [9,]  0.1 -0.3  0.0 -0.7 -0.1   NA
[10,]  0.5 -0.1 -0.1 -0.2 -1.4   NA
[11,]  1.5  0.2  0.2  0.3 -3.2   NA
[12,]  2.2  1.3  0.1 -0.6   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/1cdr01457983996.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/2idhf1457983996.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/3e3xq1457983996.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/477ct1457983996.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,] 105.6 107.5 109.0 109.0 109.0 109.4 108.8 108.4 108.3 108.2 101.9 103.4
[2,] 105.6 107.5 109.0 109.0 109.0 109.4 108.8 108.4 108.3 108.2 106.8 103.6
[3,] 110.5 110.5 109.8 110.5 109.8 109.6 109.6 108.8 109.4 109.1 109.0 109.2
[4,] 110.5 112.2 113.2 112.8 112.3 112.2 112.2 111.9 111.7 111.0 110.8 111.1
[5,] 114.0 114.3 114.3 113.6 113.2 112.2 112.6 113.2 113.8 113.8 113.7 113.9

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

$conf
         [,1]    [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 107.0377 107.179 106.8323 107.8149 107.4682 107.6215 107.1976 106.3269
[2,] 113.9623 113.821 112.7677 113.1851 112.1318 111.5785 112.0024 111.2731
         [,9]    [,10]    [,11]    [,12]
[1,] 106.9976 107.1215 106.1736 103.9005
[2,] 111.8024 111.0785 111.8264 114.4995

$out
 [1]  96.4  96.9  98.1  99.2 100.0 100.3 100.3 100.8 101.3 101.4

$group
 [1]  1  2  3  4  5  6  7  8  9 10

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

Warning message:
In bxp(list(stats = c(105.6, 105.6, 110.5, 110.5, 114, 107.5, 107.5,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5hx2d1457983996.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,]  0.0 -0.7 -1.5 -0.7 -0.2    0 -0.8 -0.2 -0.7  -0.2   0.2 -0.60
[2,]  0.3  0.0 -0.8 -0.5 -0.2    0 -0.7 -0.1 -0.3  -0.2   0.2 -0.25
[3,]  0.5  1.0  0.4 -0.4 -0.1    0 -0.4  0.5 -0.1  -0.1   0.2  0.70
[4,]  1.7  1.2  1.1  0.0  0.3    0  0.5  0.6  0.0  -0.1   0.3  1.75
[5,]  1.9  1.5  1.5  0.0  0.4    0  1.0  0.6  0.1  -0.1   0.3  2.20

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

$conf
           [,1]     [,2]       [,3]        [,4]       [,5] [,6]      [,7]
[1,] -0.4892365 0.152083 -0.9425352 -0.75329874 -0.4532987    0 -1.247917
[2,]  1.4892365 1.847917  1.7425352 -0.04670126  0.2532987    0  0.447917
            [,8]       [,9]       [,10]     [,11] [,12]
[1,] 0.005381763 -0.3119792 -0.17065975 0.1293403 -0.88
[2,] 0.994618237  0.1119792 -0.02934025 0.2706597  2.28

$out
[1]  0.8 -1.0  0.4 -0.6  0.5 -1.4  1.5 -3.2

$group
[1]  4  5  6  6 10 10 11 11

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

Warning message:
In bxp(list(stats = c(0, 0.299999999999997, 0.5, 1.7, 1.90000000000001,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6pali1457983996.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,]  96.40 108.80 110.50 110.80 106.80   NA
[2,]  98.65 108.90 112.20 111.40 108.25   NA
[3,] 100.30 109.15 113.20 112.25 108.90   NA
[4,] 101.35 109.60 113.75 113.40 109.60   NA
[5,] 103.40 110.50 113.90 114.30 110.50   NA

$n
[1] 12 12 12 12 12  0

$conf
          [,1]     [,2]    [,3]     [,4]     [,5] [,6]
[1,]  99.06851 108.8307 112.493 111.3378 108.2843   NA
[2,] 101.53149 109.4693 113.907 113.1622 109.5157   NA

$out
[1] 105.6 107.5 103.6

$group
[1] 2 2 5

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

Warning message:
In bxp(list(stats = c(96.4, 98.65, 100.3, 101.35, 103.4, 108.8,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7dcyj1457983996.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,] 108.24 108.80 107.350
[2,] 108.36 109.15 109.200
[3,] 108.70 109.60 110.075
[4,] 108.87 110.15 110.725
[5,] 109.02 110.50 111.100

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 108.4674 109.1439 109.3794
[2,] 108.9326 110.0561 110.7706

$out
[1] 107.4

$group
[1] 1

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

Warning message:
In bxp(list(stats = c(108.24, 108.36, 108.7, 108.87, 109.02, 108.8,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1cdr01457983996.ps tmp/1cdr01457983996.png",intern=TRUE))
character(0)
> try(system("convert tmp/2idhf1457983996.ps tmp/2idhf1457983996.png",intern=TRUE))
character(0)
> try(system("convert tmp/3e3xq1457983996.ps tmp/3e3xq1457983996.png",intern=TRUE))
character(0)
> try(system("convert tmp/477ct1457983996.ps tmp/477ct1457983996.png",intern=TRUE))
character(0)
> try(system("convert tmp/5hx2d1457983996.ps tmp/5hx2d1457983996.png",intern=TRUE))
character(0)
> try(system("convert tmp/6pali1457983996.ps tmp/6pali1457983996.png",intern=TRUE))
character(0)
> try(system("convert tmp/7dcyj1457983996.ps tmp/7dcyj1457983996.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.338   0.422   2.789