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(89.8,89.2,89.9,88.9,84,86.3,89.3,90.6,88.3,91.6,95.4,96.8,92.5,93.6,93.8,92.7,88.3,90.4,91.2,91.5,88.9,88.6,89.1,89.4,86.7,89.8,90.9,91.4,90.2,92.2,94,95.8,95.1,96.2,96.8,97.1,96.5,97.2,97.8,99.9,101.2,103.3,104.5,100.8,95,93.4,93.1,94.9,96.9,100.9,100.2,101.8,105.4,106.4,105.6,107.5,109.5,108.6,109.2,110.3,110.3,107.9,107.7,108.1,108,105.9,105.9,104.7)
> 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] 68
> (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] 6 6 6 6 6 6 6 6 5 5 5 5
> arr
      [,1] [,2] [,3]  [,4]  [,5]  [,6]
 [1,] 89.8 92.5 86.7  96.5  96.9 110.3
 [2,] 89.2 93.6 89.8  97.2 100.9 107.9
 [3,] 89.9 93.8 90.9  97.8 100.2 107.7
 [4,] 88.9 92.7 91.4  99.9 101.8 108.1
 [5,] 84.0 88.3 90.2 101.2 105.4 108.0
 [6,] 86.3 90.4 92.2 103.3 106.4 105.9
 [7,] 89.3 91.2 94.0 104.5 105.6 105.9
 [8,] 90.6 91.5 95.8 100.8 107.5 104.7
 [9,] 88.3 88.9 95.1  95.0 109.5    NA
[10,] 91.6 88.6 96.2  93.4 108.6    NA
[11,] 95.4 89.1 96.8  93.1 109.2    NA
[12,] 96.8 89.4 97.1  94.9 110.3    NA
> darr
      [,1] [,2] [,3] [,4] [,5] [,6]
 [1,] -0.6  1.1  3.1  0.7  4.0 -2.4
 [2,]  0.7  0.2  1.1  0.6 -0.7 -0.2
 [3,] -1.0 -1.1  0.5  2.1  1.6  0.4
 [4,] -4.9 -4.4 -1.2  1.3  3.6 -0.1
 [5,]  2.3  2.1  2.0  2.1  1.0 -2.1
 [6,]  3.0  0.8  1.8  1.2 -0.8  0.0
 [7,]  1.3  0.3  1.8 -3.7  1.9 -1.2
 [8,] -2.3 -2.6 -0.7 -5.8  2.0   NA
 [9,]  3.3 -0.3  1.1 -1.6 -0.9   NA
[10,]  3.8  0.5  0.6 -0.3  0.6   NA
[11,]  1.4  0.3  0.3  1.8  1.1   NA
[12,] -4.3 -2.7 -0.6  2.0  0.0   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/1o1fz1457473846.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/2ovs11457473846.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/34k711457473846.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/485tv1457473846.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,] 86.7  89.2  89.9  88.9  84.0  86.30  89.30  90.6 88.3  88.6  89.1  94.9
[2,] 89.8  89.8  90.9  91.4  88.3  90.40  91.20  91.5 88.9  91.6  93.1  94.9
[3,] 94.5  95.4  95.8  96.3  95.7  97.75  99.25  98.3 95.0  93.4  95.4  96.8
[4,] 96.9 100.9 100.2 101.8 105.4 105.90 105.60 104.7 95.1  96.2  96.8  97.1
[5,] 96.9 107.9 107.7 108.1 108.0 106.40 105.90 107.5 95.1  96.2  96.8  97.1

$n
 [1] 6 6 6 6 6 6 6 6 5 5 5 5

$conf
         [,1]      [,2]     [,3]      [,4]      [,5]    [,6]      [,7]
[1,] 89.92027  88.24014  89.8012  89.59166  84.66995  87.752  89.96153
[2,] 99.07973 102.55986 101.7988 103.00834 106.73005 107.748 108.53847
          [,8]    [,9]    [,10]    [,11]    [,12]
[1,]  89.78557 90.6191 90.14965 92.78559 95.24549
[2,] 106.81443 99.3809 96.65035 98.01441 98.35451

$out
[1] 110.3 109.5 108.6 109.2  89.4 110.3

$group
[1]  1  9 10 11 12 12

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

Warning message:
In bxp(list(stats = c(86.7, 89.8, 94.5, 96.9, 96.9, 89.2, 89.8,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5s2kz1457473846.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,] -2.4 -0.7 -1.10 -4.90 1.00 -0.8 -3.7 -2.6 -1.6   0.5   0.3  -4.3
[2,] -0.6 -0.2 -1.00 -4.40 1.00  0.0 -1.2 -2.6 -0.9   0.5   0.3  -2.7
[3,]  0.9  0.4  0.45 -0.65 2.05  1.0  0.8 -2.3 -0.3   0.6   1.1  -0.6
[4,]  3.1  0.7  1.60  1.30 2.10  1.8  1.8 -0.7  1.1   0.6   1.4   0.0
[5,]  4.0  1.1  2.10  3.60 2.30  3.0  1.9  2.0  3.3   0.6   1.8   2.0

$n
 [1] 6 6 6 6 6 6 6 5 5 5 5 5

$conf
         [,1]       [,2]      [,3]      [,4]     [,5]       [,6]      [,7]
[1,] -1.48662 -0.1805291 -1.227084 -4.326684 1.340464 -0.1610581 -1.135097
[2,]  3.28662  0.9805291  2.127084  3.026684 2.759536  2.1610581  2.735097
           [,8]      [,9]     [,10]     [,11]     [,12]
[1,] -3.6425352 -1.713195 0.5293403 0.3227428 -2.507813
[2,] -0.9574648  1.113195 0.6706597 1.8772572  1.307813

$out
[1] -2.1 -5.8  3.8 -0.3

$group
[1]  5  8 10 10

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

Warning message:
In bxp(list(stats = c(-2.39999999999999, -0.599999999999994, 0.899999999999999,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/643ek1457473846.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,] 86.30 88.3 86.70  93.10  96.90 104.70
[2,] 88.60 89.0 90.55  94.95 101.35 105.90
[3,] 89.55 90.8 93.10  97.50 106.00 107.80
[4,] 91.10 92.6 96.00 101.00 108.90 108.05
[5,] 91.60 93.8 97.10 104.50 110.30 110.30

$n
[1] 12 12 12 12 12  8

$conf
         [,1]     [,2]     [,3]      [,4]     [,5]    [,6]
[1,] 88.40973 89.15802 90.61422  94.74055 102.5564 106.599
[2,] 90.69027 92.44198 95.58578 100.25945 109.4436 109.001

$out
[1] 84.0 95.4 96.8

$group
[1] 1 1 1

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

Warning message:
In bxp(list(stats = c(86.3, 88.6, 89.55, 91.1, 91.6, 88.3, 89, 90.8,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7osml1457473846.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,] 95.36000 93.400 92.00000
[2,] 95.93167 95.200 94.42500
[3,] 96.71833 95.750 95.80625
[4,] 97.55833 97.275 97.30625
[5,] 98.48333 99.250 98.61250

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 95.97640 94.80358 94.49209
[2,] 97.46027 96.69642 97.12041

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(95.36, 95.9316666666667, 96.7183333333333,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1o1fz1457473846.ps tmp/1o1fz1457473846.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ovs11457473846.ps tmp/2ovs11457473846.png",intern=TRUE))
character(0)
> try(system("convert tmp/34k711457473846.ps tmp/34k711457473846.png",intern=TRUE))
character(0)
> try(system("convert tmp/485tv1457473846.ps tmp/485tv1457473846.png",intern=TRUE))
character(0)
> try(system("convert tmp/5s2kz1457473846.ps tmp/5s2kz1457473846.png",intern=TRUE))
character(0)
> try(system("convert tmp/643ek1457473846.ps tmp/643ek1457473846.png",intern=TRUE))
character(0)
> try(system("convert tmp/7osml1457473846.ps tmp/7osml1457473846.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.519   0.422   2.962