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)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(96.16,96.4,96.87,97,97.26,97.42,97.64,97.93,98.1,98.29,98.42,98.49,98.67,99.1,99.37,99.54,99.58,99.77,100.06,100.26,100.57,100.94,101.03,101.12,101.26,101.94,102.26,102.51,102.61,102.76,103.04,103.22,103.47,103.64,103.76,103.85,103.98,104.68,105.07,105.19,105.39,105.66,105.76,105.89,106.04,106.37,106.57,106.67,107.08,107.64,108.47,108.7,108.82,108.99,109.18,109.31,109.5,109.7,109.9,110.09)
> 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,] 96.16  98.67 101.26 103.98 107.08   NA
 [2,] 96.40  99.10 101.94 104.68 107.64   NA
 [3,] 96.87  99.37 102.26 105.07 108.47   NA
 [4,] 97.00  99.54 102.51 105.19 108.70   NA
 [5,] 97.26  99.58 102.61 105.39 108.82   NA
 [6,] 97.42  99.77 102.76 105.66 108.99   NA
 [7,] 97.64 100.06 103.04 105.76 109.18   NA
 [8,] 97.93 100.26 103.22 105.89 109.31   NA
 [9,] 98.10 100.57 103.47 106.04 109.50   NA
[10,] 98.29 100.94 103.64 106.37 109.70   NA
[11,] 98.42 101.03 103.76 106.57 109.90   NA
[12,] 98.49 101.12 103.85 106.67 110.09   NA
> darr
      [,1] [,2] [,3] [,4] [,5] [,6]
 [1,] 0.24 0.43 0.68 0.70 0.56   NA
 [2,] 0.47 0.27 0.32 0.39 0.83   NA
 [3,] 0.13 0.17 0.25 0.12 0.23   NA
 [4,] 0.26 0.04 0.10 0.20 0.12   NA
 [5,] 0.16 0.19 0.15 0.27 0.17   NA
 [6,] 0.22 0.29 0.28 0.10 0.19   NA
 [7,] 0.29 0.20 0.18 0.13 0.13   NA
 [8,] 0.17 0.31 0.25 0.15 0.19   NA
 [9,] 0.19 0.37 0.17 0.33 0.20   NA
[10,] 0.13 0.09 0.12 0.20 0.20   NA
[11,] 0.07 0.09 0.09 0.10 0.19   NA
[12,] 0.18 0.14 0.13 0.41   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/1d6n11489495168.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/2r9gr1489495168.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/32tne1489495168.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/45ryk1489495168.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,]  96.16  96.40  96.87  97.00  97.26  97.42  97.64  97.93  98.10  98.29
[2,]  98.67  99.10  99.37  99.54  99.58  99.77 100.06 100.26 100.57 100.94
[3,] 101.26 101.94 102.26 102.51 102.61 102.76 103.04 103.22 103.47 103.64
[4,] 103.98 104.68 105.07 105.19 105.39 105.66 105.76 105.89 106.04 106.37
[5,] 107.08 107.64 108.47 108.70 108.82 108.99 109.18 109.31 109.50 109.70
      [,11]  [,12]
[1,]  98.42  98.49
[2,] 101.03 101.12
[3,] 103.76 103.85
[4,] 106.57 106.67
[5,] 109.90 110.09

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

$conf
          [,1]      [,2]      [,3]      [,4]      [,5]      [,6]      [,7]
[1,]  97.50797  97.99719  98.23239  98.51772  98.50467  98.59814  99.01239
[2,] 105.01203 105.88281 106.28761 106.50228 106.71533 106.92186 107.06761
          [,8]      [,9]     [,10]     [,11]     [,12]
[1,]  99.24186  99.60491  99.80318  99.84545  99.92838
[2,] 107.19814 107.33509 107.47682 107.67455 107.77162

$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(96.16, 98.67, 101.26, 103.98, 107.08, 96.4,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5xtjt1489495168.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,] 0.24 0.27 0.12 0.04 0.15 0.10 0.13 0.15 0.17  0.09  0.09 0.130
[2,] 0.43 0.32 0.13 0.10 0.16 0.19 0.13 0.17 0.19  0.12  0.09 0.135
[3,] 0.56 0.39 0.17 0.12 0.17 0.22 0.18 0.19 0.20  0.13  0.09 0.160
[4,] 0.68 0.47 0.23 0.20 0.19 0.28 0.20 0.25 0.33  0.20  0.10 0.295
[5,] 0.70 0.47 0.25 0.26 0.19 0.29 0.29 0.31 0.37  0.20  0.10 0.410

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

$conf
          [,1]      [,2]       [,3]       [,4]      [,5]      [,6]      [,7]
[1,] 0.3833506 0.2840104 0.09934025 0.04934025 0.1488021 0.1564062 0.1305382
[2,] 0.7366494 0.4959896 0.24065975 0.19065975 0.1911979 0.2835938 0.2294618
          [,8]      [,9]     [,10]      [,11]  [,12]
[1,] 0.1334722 0.1010764 0.0734722 0.08293403 0.0336
[2,] 0.2465278 0.2989236 0.1865278 0.09706597 0.2864

$out
[1] 0.83 0.27 0.07 0.19

$group
[1]  2  5 11 11

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

Warning message:
In bxp(list(stats = c(0.240000000000009, 0.429999999999993, 0.560000000000002,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/61axx1489495168.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,] 96.160  98.670 101.260 103.980 107.080   NA
[2,] 96.935  99.455 102.385 105.130 108.585   NA
[3,] 97.530  99.915 102.900 105.710 109.085   NA
[4,] 98.195 100.755 103.555 106.205 109.600   NA
[5,] 98.490 101.120 103.850 106.670 110.090   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]      [,2]     [,3]     [,4]     [,5] [,6]
[1,] 96.95531  99.32206 102.3664 105.2197 108.6221   NA
[2,] 98.10469 100.50794 103.4336 106.2003 109.5479   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(96.16, 96.935, 97.53, 98.195, 98.49, 98.67,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7lbhk1489495168.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,] 101.430 101.260 101.3250
[2,] 102.498 102.385 102.2925
[3,] 103.028 102.900 102.8125
[4,] 103.662 103.555 103.4800
[5,] 104.044 103.850 103.8950

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 102.4971 102.3664 102.2709
[2,] 103.5589 103.4336 103.3541

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(101.43, 102.498, 103.028, 103.662, 104.044,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1d6n11489495168.ps tmp/1d6n11489495168.png",intern=TRUE))
character(0)
> try(system("convert tmp/2r9gr1489495168.ps tmp/2r9gr1489495168.png",intern=TRUE))
character(0)
> try(system("convert tmp/32tne1489495168.ps tmp/32tne1489495168.png",intern=TRUE))
character(0)
> try(system("convert tmp/45ryk1489495168.ps tmp/45ryk1489495168.png",intern=TRUE))
character(0)
> try(system("convert tmp/5xtjt1489495168.ps tmp/5xtjt1489495168.png",intern=TRUE))
character(0)
> try(system("convert tmp/61axx1489495168.ps tmp/61axx1489495168.png",intern=TRUE))
character(0)
> try(system("convert tmp/7lbhk1489495168.ps tmp/7lbhk1489495168.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.739   0.226   3.017