R version 3.2.2 (2015-08-14) -- "Fire Safety"
Copyright (C) 2015 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(87.16,87.16,87.16,87.16,87.16,87.16,87.16,87.16,87.16,89.24,89.24,89.24,89.24,89.24,89.24,89.24,89.24,89.24,89.24,89.24,89.24,91,91,91,91,91,91,91,91,91,91,91,91,92.51,92.51,92.51,92.51,92.51,92.51,92.51,92.51,92.51,92.51,92.51,92.51,96.67,96.67,96.67,96.67,96.67,96.67,96.67,96.67,96.67,96.67,96.67,96.67,96.19,96.19,96.19,96.19,96.19,96.19,96.19,96.19,96.19,96.19,96.19,96.19,99.13,99.13,99.13,99.13,99.13,99.13,99.13,99.13,99.13,99.13,99.13,99.13,99.58,99.58,99.58,99.58,99.58,99.58,99.58,99.58,99.58,99.58,99.58,99.58,101.27,101.27,101.27,101.25,101.25,101.25,101.25,101.25,101.25,101.25,101.25,101.25,102.55,102.55,102.55)
> par1 = '12'
> par1 <- '12'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Mean Plot (v1.0.4) 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)
> (n <- length(x))
[1] 108
> (np <- floor(n / par1))
[1] 9
> 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] 9 9 9 9 9 9 9 9 9 9 9 9
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]  [,7]   [,8]   [,9] [,10]
 [1,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13  99.58 101.25    NA
 [2,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13  99.58 101.25    NA
 [3,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13  99.58 101.25    NA
 [4,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13  99.58 101.25    NA
 [5,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13  99.58 101.25    NA
 [6,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13  99.58 101.25    NA
 [7,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13  99.58 101.25    NA
 [8,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13  99.58 101.25    NA
 [9,] 87.16 89.24 91.00 92.51 96.67 96.19 99.13  99.58 101.25    NA
[10,] 89.24 91.00 92.51 96.67 96.19 99.13 99.58 101.27 102.55    NA
[11,] 89.24 91.00 92.51 96.67 96.19 99.13 99.58 101.27 102.55    NA
[12,] 89.24 91.00 92.51 96.67 96.19 99.13 99.58 101.27 102.55    NA
> darr
      [,1] [,2] [,3] [,4]  [,5] [,6] [,7]  [,8] [,9] [,10]
 [1,] 0.00 0.00 0.00 0.00  0.00 0.00 0.00  0.00  0.0    NA
 [2,] 0.00 0.00 0.00 0.00  0.00 0.00 0.00  0.00  0.0    NA
 [3,] 0.00 0.00 0.00 0.00  0.00 0.00 0.00  0.00  0.0    NA
 [4,] 0.00 0.00 0.00 0.00  0.00 0.00 0.00  0.00  0.0    NA
 [5,] 0.00 0.00 0.00 0.00  0.00 0.00 0.00  0.00  0.0    NA
 [6,] 0.00 0.00 0.00 0.00  0.00 0.00 0.00  0.00  0.0    NA
 [7,] 0.00 0.00 0.00 0.00  0.00 0.00 0.00  0.00  0.0    NA
 [8,] 0.00 0.00 0.00 0.00  0.00 0.00 0.00  0.00  0.0    NA
 [9,] 2.08 1.76 1.51 4.16 -0.48 2.94 0.45  1.69  1.3    NA
[10,] 0.00 0.00 0.00 0.00  0.00 0.00 0.00  0.00  0.0    NA
[11,] 0.00 0.00 0.00 0.00  0.00 0.00 0.00  0.00  0.0    NA
[12,] 0.00 0.00 0.00 0.00  0.00 0.00 0.00 -0.02   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/1k1971445010957.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/2182m1445010957.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/3vu4l1445010957.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/4vf291445010957.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,]  87.16  87.16  87.16  87.16  87.16  87.16  87.16  87.16  87.16  89.24
[2,]  91.00  91.00  91.00  91.00  91.00  91.00  91.00  91.00  91.00  92.51
[3,]  96.19  96.19  96.19  96.19  96.19  96.19  96.19  96.19  96.19  96.67
[4,]  99.13  99.13  99.13  99.13  99.13  99.13  99.13  99.13  99.13  99.58
[5,] 101.25 101.25 101.25 101.25 101.25 101.25 101.25 101.25 101.25 102.55
      [,11]  [,12]
[1,]  89.24  89.24
[2,]  92.51  92.51
[3,]  96.67  96.67
[4,]  99.58  99.58
[5,] 102.55 102.55

$n
 [1] 9 9 9 9 9 9 9 9 9 9 9 9

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,]  91.9082  91.9082  91.9082  91.9082  91.9082  91.9082  91.9082  91.9082
[2,] 100.4718 100.4718 100.4718 100.4718 100.4718 100.4718 100.4718 100.4718
         [,9]     [,10]     [,11]     [,12]
[1,]  91.9082  92.94647  92.94647  92.94647
[2,] 100.4718 100.39353 100.39353 100.39353

$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(87.16, 91, 96.19, 99.13, 101.25, 87.16, 91,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5jv0v1445010957.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    0    0    0    0    0 0.45     0     0     0
[2,]    0    0    0    0    0    0    0    0 1.30     0     0     0
[3,]    0    0    0    0    0    0    0    0 1.69     0     0     0
[4,]    0    0    0    0    0    0    0    0 2.08     0     0     0
[5,]    0    0    0    0    0    0    0    0 2.94     0     0     0

$n
 [1] 9 9 9 9 9 9 9 9 9 9 9 8

$conf
     [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]   [,9] [,10] [,11] [,12]
[1,]    0    0    0    0    0    0    0    0 1.2792     0     0     0
[2,]    0    0    0    0    0    0    0    0 2.1008     0     0     0

$out
[1]  4.16 -0.48 -0.02

$group
[1]  9  9 12

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

Warning message:
In bxp(list(stats = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6h62h1445010957.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]   [,7]    [,8]   [,9] [,10]
[1,] 87.16 89.24 91.000 92.51 96.19 96.19 99.130  99.580 101.25    NA
[2,] 87.16 89.24 91.000 92.51 96.43 96.19 99.130  99.580 101.25    NA
[3,] 87.16 89.24 91.000 92.51 96.67 96.19 99.130  99.580 101.25    NA
[4,] 88.20 90.12 91.755 94.59 96.67 97.66 99.355 100.425 101.90    NA
[5,] 89.24 91.00 92.510 96.67 96.67 99.13 99.580 101.270 102.55    NA

$n
 [1] 12 12 12 12 12 12 12 12 12  0

$conf
         [,1]     [,2]     [,3]    [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 86.68565 88.83863 90.65564 91.5613 96.56053 95.51952 99.02738 99.19459
[2,] 87.63435 89.64137 91.34436 93.4587 96.77947 96.86048 99.23262 99.96541
         [,9] [,10]
[1,] 100.9535    NA
[2,] 101.5465    NA

$out
numeric(0)

$group
numeric(0)

$names
 [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" NA 

Warning message:
In bxp(list(stats = c(87.16, 87.16, 87.16, 88.2, 89.24, 89.24, 89.24,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7le351445010957.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,] 94.74778 96.19 95.065
[2,] 94.74778 96.19 95.065
[3,] 94.74778 96.19 95.065
[4,] 95.60389 96.43 95.555
[5,] 96.46000 96.67 96.045

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 94.35730 96.08053 94.84151
[2,] 95.13826 96.29947 95.28849

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(94.7477777777778, 94.7477777777778, 94.7477777777778,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1k1971445010957.ps tmp/1k1971445010957.png",intern=TRUE))
character(0)
> try(system("convert tmp/2182m1445010957.ps tmp/2182m1445010957.png",intern=TRUE))
character(0)
> try(system("convert tmp/3vu4l1445010957.ps tmp/3vu4l1445010957.png",intern=TRUE))
character(0)
> try(system("convert tmp/4vf291445010957.ps tmp/4vf291445010957.png",intern=TRUE))
character(0)
> try(system("convert tmp/5jv0v1445010957.ps tmp/5jv0v1445010957.png",intern=TRUE))
character(0)
> try(system("convert tmp/6h62h1445010957.ps tmp/6h62h1445010957.png",intern=TRUE))
character(0)
> try(system("convert tmp/7le351445010957.ps tmp/7le351445010957.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.476   0.505   3.004