R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(2.08,2.09,2.36,2.99,2.75,1.58,1.69,1.3,1.97,1.84,1.96,1.86,2.75,2.62,2.41,3.61,2.03,1.45,1.4,1.3,1.58,2.1,2.27,2.54,2.55,2.05,2.32,2.6,2.1,1.61,1.55,1.12,1.39,2.18,1.94,2.27,2.41,2.2,2.58,2.9,2.12,1.34,1.07,0.86,1,1.54,1.29,1.44,2.6,2.77,3.31,3.2,2.07,1.42,1.43,1.28,1.59,1.68,2.01,2.52,2.74,3.06,2.69,2.32,1.67,1.04,0.98,0.86,0.97,1.3,1.82,1.99,2.7,2.86,2.91,2.56,2.05,1.62,1.26,1.44,1.27,1.64,1.84,2.1,2.79,2.84,2.76,2.67,2.1,1.55,1.42,1.12,1.12,1.41,1.56,1.8)
> 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] 96
> (np <- floor(n / par1))
[1] 8
> 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] 8 8 8 8 8 8 8 8 8 8 8 8
> arr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
 [1,] 2.08 2.75 2.55 2.41 2.60 2.74 2.70 2.79   NA
 [2,] 2.09 2.62 2.05 2.20 2.77 3.06 2.86 2.84   NA
 [3,] 2.36 2.41 2.32 2.58 3.31 2.69 2.91 2.76   NA
 [4,] 2.99 3.61 2.60 2.90 3.20 2.32 2.56 2.67   NA
 [5,] 2.75 2.03 2.10 2.12 2.07 1.67 2.05 2.10   NA
 [6,] 1.58 1.45 1.61 1.34 1.42 1.04 1.62 1.55   NA
 [7,] 1.69 1.40 1.55 1.07 1.43 0.98 1.26 1.42   NA
 [8,] 1.30 1.30 1.12 0.86 1.28 0.86 1.44 1.12   NA
 [9,] 1.97 1.58 1.39 1.00 1.59 0.97 1.27 1.12   NA
[10,] 1.84 2.10 2.18 1.54 1.68 1.30 1.64 1.41   NA
[11,] 1.96 2.27 1.94 1.29 2.01 1.82 1.84 1.56   NA
[12,] 1.86 2.54 2.27 1.44 2.52 1.99 2.10 1.80   NA
> darr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]  [,7]  [,8] [,9]
 [1,]  0.01 -0.13 -0.50 -0.21  0.17  0.32  0.16  0.05   NA
 [2,]  0.27 -0.21  0.27  0.38  0.54 -0.37  0.05 -0.08   NA
 [3,]  0.63  1.20  0.28  0.32 -0.11 -0.37 -0.35 -0.09   NA
 [4,] -0.24 -1.58 -0.50 -0.78 -1.13 -0.65 -0.51 -0.57   NA
 [5,] -1.17 -0.58 -0.49 -0.78 -0.65 -0.63 -0.43 -0.55   NA
 [6,]  0.11 -0.05 -0.06 -0.27  0.01 -0.06 -0.36 -0.13   NA
 [7,] -0.39 -0.10 -0.43 -0.21 -0.15 -0.12  0.18 -0.30   NA
 [8,]  0.67  0.28  0.27  0.14  0.31  0.11 -0.17  0.00   NA
 [9,] -0.13  0.52  0.79  0.54  0.09  0.33  0.37  0.29   NA
[10,]  0.12  0.17 -0.24 -0.25  0.33  0.52  0.20  0.15   NA
[11,] -0.10  0.27  0.33  0.15  0.51  0.17  0.26  0.24   NA
[12,]  0.89  0.01  0.14  1.16  0.22  0.71  0.69    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/1vp6z1424967564.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/2xy4e1424967564.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/34taj1424967564.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/456mq1424967564.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,] 2.410 2.050 2.320 2.320 2.030 1.340 0.980 0.86 0.970 1.300 1.290 1.440
[2,] 2.480 2.145 2.385 2.580 2.040 1.380 1.165 0.99 1.060 1.475 1.690 1.830
[3,] 2.650 2.695 2.635 2.785 2.085 1.500 1.410 1.20 1.330 1.660 1.890 2.045
[4,] 2.745 2.850 2.835 3.095 2.110 1.595 1.490 1.30 1.585 1.970 1.985 2.395
[5,] 2.790 3.060 3.310 3.610 2.120 1.620 1.690 1.44 1.970 2.180 2.270 2.540

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]    [,7]    [,8]
[1,] 2.501967 2.301177 2.383624 2.497314 2.045897 1.379898 1.22845 1.02683
[2,] 2.798033 3.088823 2.886376 3.072686 2.124103 1.620102 1.59155 1.37317
         [,9]    [,10]    [,11]    [,12]
[1,] 1.036727 1.383486 1.725209 1.729383
[2,] 1.623273 1.936514 2.054791 2.360617

$out
[1] 2.08 2.75 1.67 1.04

$group
[1] 1 5 5 6

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

Warning message:
In bxp(list(stats = c(2.41, 2.48, 2.65, 2.745, 2.79, 2.05, 2.145,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/59pdf1424967564.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]
[1,] -0.500 -0.370 -0.370 -1.580 -0.780 -0.36 -0.430 -0.170 -0.13 -0.250  0.15
[2,] -0.170 -0.145 -0.230 -0.955 -0.715 -0.20 -0.345  0.055  0.19 -0.060  0.16
[3,]  0.030  0.160  0.095 -0.610 -0.605 -0.06 -0.180  0.205  0.35  0.160  0.25
[4,]  0.165  0.325  0.475 -0.505 -0.520 -0.02 -0.110  0.295  0.53  0.265  0.30
[5,]  0.320  0.540  1.200 -0.240 -0.430  0.11  0.180  0.310  0.79  0.520  0.51
     [,12]
[1,]  0.01
[2,]  0.18
[3,]  0.69
[4,]  0.80
[5,]  1.16

$n
 [1] 8 8 8 8 8 8 8 8 8 8 8 7

$conf
           [,1]       [,2]       [,3]       [,4]       [,5]        [,6]
[1,] -0.1571358 -0.1025487 -0.2988231 -0.8613765 -0.7139298 -0.16055058
[2,]  0.2171358  0.4225487  0.4888231 -0.3586235 -0.4960702  0.04055058
            [,7]       [,8]      [,9]       [,10]    [,11]    [,12]
[1,] -0.31127437 0.07093255 0.1600711 -0.02154967 0.171794 0.319746
[2,] -0.04872563 0.33906745 0.5399289  0.34154967 0.328206 1.060254

$out
[1] -1.17  0.67 -0.10

$group
[1]  5  8 11

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

Warning message:
In bxp(list(stats = c(-0.5, -0.17, 0.0299999999999998, 0.165, 0.32,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6gpdr1424967564.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]
[1,] 1.300 1.300 1.120 0.860 1.280 0.860 1.260 1.120   NA
[2,] 1.765 1.515 1.580 1.180 1.510 1.010 1.530 1.415   NA
[3,] 1.965 2.185 2.075 1.490 2.040 1.745 1.945 1.680   NA
[4,] 2.225 2.580 2.295 2.305 2.685 2.505 2.630 2.715   NA
[5,] 2.750 3.610 2.600 2.900 3.310 3.060 2.910 2.840   NA

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

$conf
         [,1]     [,2]     [,3]      [,4]     [,5]    [,6]     [,7]     [,8]
[1,] 1.755191 1.699246 1.748884 0.9768799 1.504075 1.06312 1.443283 1.087061
[2,] 2.174809 2.670754 2.401116 2.0031201 2.575925 2.42688 2.446717 2.272939
     [,9]
[1,]   NA
[2,]   NA

$out
[1] 2.99

$group
[1] 1

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

Warning message:
In bxp(list(stats = c(1.3, 1.765, 1.965, 2.225, 2.75, 1.3, 1.515,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7ou9u1424967564.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,] 1.160000 1.2000 1.177500
[2,] 1.406250 1.4550 1.415000
[3,] 1.950625 1.9675 1.969375
[4,] 2.569375 2.6425 2.553125
[5,] 2.856250 2.7850 2.816250

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 1.420116 1.425873 1.450269
[2,] 2.481134 2.509127 2.488481

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(1.16, 1.40625, 1.950625, 2.569375, 2.85625,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1vp6z1424967564.ps tmp/1vp6z1424967564.png",intern=TRUE))
character(0)
> try(system("convert tmp/2xy4e1424967564.ps tmp/2xy4e1424967564.png",intern=TRUE))
character(0)
> try(system("convert tmp/34taj1424967564.ps tmp/34taj1424967564.png",intern=TRUE))
character(0)
> try(system("convert tmp/456mq1424967564.ps tmp/456mq1424967564.png",intern=TRUE))
character(0)
> try(system("convert tmp/59pdf1424967564.ps tmp/59pdf1424967564.png",intern=TRUE))
character(0)
> try(system("convert tmp/6gpdr1424967564.ps tmp/6gpdr1424967564.png",intern=TRUE))
character(0)
> try(system("convert tmp/7ou9u1424967564.ps tmp/7ou9u1424967564.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.455   0.485   2.968