R version 2.15.3 (2013-03-01) -- "Security Blanket"
Copyright (C) 2013 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(106.1,106.17,105.75,106.49,106.61,106.61,106.61,106.61,106.92,106.94,107.28,107.36,107.36,107.39,107.46,107.51,108.21,108.33,108.33,108.36,108.89,109.3,109.55,109.45,109.45,109.4,109.45,109.5,109.91,109.9,109.9,109.92,109.74,110.28,110.97,111.02,111.02,111,111.43,111.52,112.29,112.27,112.27,112.39,112.31,112.91,112.9,113.08,113.08,113.54,114,115.28,116.4,116.56,116.56,116.59,116.96,117.17,117.83,117.84,117.84,117.84,117.69,117.9,118.05,118.08,118.08,118.08,118.16,118.53,118.5,118.62)
> 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] 72
> (np <- floor(n / par1))
[1] 6
> 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 6 6 6 6
> arr
        [,1]   [,2]   [,3]   [,4]   [,5]   [,6] [,7]
 [1,] 106.10 107.36 109.45 111.02 113.08 117.84   NA
 [2,] 106.17 107.39 109.40 111.00 113.54 117.84   NA
 [3,] 105.75 107.46 109.45 111.43 114.00 117.69   NA
 [4,] 106.49 107.51 109.50 111.52 115.28 117.90   NA
 [5,] 106.61 108.21 109.91 112.29 116.40 118.05   NA
 [6,] 106.61 108.33 109.90 112.27 116.56 118.08   NA
 [7,] 106.61 108.33 109.90 112.27 116.56 118.08   NA
 [8,] 106.61 108.36 109.92 112.39 116.59 118.08   NA
 [9,] 106.92 108.89 109.74 112.31 116.96 118.16   NA
[10,] 106.94 109.30 110.28 112.91 117.17 118.53   NA
[11,] 107.28 109.55 110.97 112.90 117.83 118.50   NA
[12,] 107.36 109.45 111.02 113.08 117.84 118.62   NA
> darr
       [,1]  [,2]  [,3]  [,4] [,5]  [,6] [,7]
 [1,]  0.07  0.03 -0.05 -0.02 0.46  0.00   NA
 [2,] -0.42  0.07  0.05  0.43 0.46 -0.15   NA
 [3,]  0.74  0.05  0.05  0.09 1.28  0.21   NA
 [4,]  0.12  0.70  0.41  0.77 1.12  0.15   NA
 [5,]  0.00  0.12 -0.01 -0.02 0.16  0.03   NA
 [6,]  0.00  0.00  0.00  0.00 0.00  0.00   NA
 [7,]  0.00  0.03  0.02  0.12 0.03  0.00   NA
 [8,]  0.31  0.53 -0.18 -0.08 0.37  0.08   NA
 [9,]  0.02  0.41  0.54  0.60 0.21  0.37   NA
[10,]  0.34  0.25  0.69 -0.01 0.66 -0.03   NA
[11,]  0.08 -0.10  0.05  0.18 0.01  0.12   NA
[12,]  0.00  0.00  0.00  0.00 0.00    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/fisher/rcomp/tmp/1d0mr1363127824.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/fisher/rcomp/tmp/2tgk31363127824.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/fisher/rcomp/tmp/3p22p1363127824.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/fisher/rcomp/tmp/4fgtx1363127824.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]
[1,] 106.100 106.17 105.75 106.49 106.61 106.610 106.610 106.610 106.920
[2,] 107.360 107.39 107.46 107.51 108.21 108.330 108.330 108.360 108.890
[3,] 110.235 110.20 110.44 110.51 111.10 111.085 111.085 111.155 111.025
[4,] 113.080 113.54 114.00 115.28 116.40 116.560 116.560 116.590 116.960
[5,] 117.840 117.84 117.69 117.90 118.05 118.080 118.080 118.080 118.160
       [,10]   [,11]  [,12]
[1,] 106.940 107.280 107.36
[2,] 109.300 109.550 109.45
[3,] 111.595 111.935 112.05
[4,] 117.170 117.830 117.84
[5,] 118.530 118.500 118.62

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 106.5454 106.2331 106.2215 105.4981 105.8172 105.7764 105.7764 105.8464
[2,] 113.9246 114.1669 114.6585 115.5219 116.3828 116.3936 116.3936 116.4636
         [,9]    [,10]    [,11]    [,12]
[1,] 105.8196 106.5186 106.5941 106.6382
[2,] 116.2304 116.6714 117.2759 117.4618

$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(106.1, 107.36, 110.235, 113.08, 117.84, 106.17,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/51b9h1363127824.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,] -0.050 -0.42 0.05 0.120 -0.020    0 0.000 -0.180 0.02 -0.030 -0.100     0
[2,] -0.020 -0.15 0.05 0.150 -0.010    0 0.000 -0.080 0.21 -0.010  0.010     0
[3,]  0.015  0.06 0.15 0.555  0.015    0 0.025  0.195 0.39  0.295  0.065     0
[4,]  0.070  0.43 0.74 0.770  0.120    0 0.030  0.370 0.54  0.660  0.120     0
[5,]  0.070  0.46 1.28 1.120  0.160    0 0.030  0.530 0.60  0.690  0.180     0

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

$conf
            [,1]       [,2]       [,3]    [,4]       [,5] [,6]        [,7]
[1,] -0.04305291 -0.3141187 -0.2950723 0.15508 -0.0688542    0 0.005649031
[2,]  0.07305291  0.4341187  0.5950723 0.95492  0.0988542    0 0.044350969
            [,8]      [,9]      [,10]        [,11] [,12]
[1,] -0.09526453 0.1771393 -0.1371716 -0.005953553     0
[2,]  0.48526453 0.6028607  0.7271716  0.135953553     0

$out
[1] 0.46 0.12

$group
[1] 1 7

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

Warning message:
In bxp(list(stats = c(-0.0499999999999972, -0.019999999999996, 0.0150000000000006,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/60btp1363127824.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]
[1,] 105.75 107.360 109.400 111.000 113.080 117.69   NA
[2,] 106.33 107.485 109.475 111.475 114.640 117.87   NA
[3,] 106.61 108.330 109.900 112.280 116.560 118.08   NA
[4,] 106.93 109.095 110.100 112.645 117.065 118.33   NA
[5,] 107.36 109.550 111.020 113.080 117.840 118.62   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]
[1,] 106.3363 107.5957 109.6149 111.7464 115.4539 117.8702   NA
[2,] 106.8837 109.0643 110.1851 112.8136 117.6661 118.2898   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(105.75, 106.33, 106.61, 106.93, 107.36, 107.36,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/73kn91363127824.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,] 110.8083 110.200 110.2237
[2,] 111.1650 110.475 110.9156
[3,] 111.9583 111.085 112.1050
[4,] 112.3425 111.375 112.6375
[5,] 112.8950 112.050 113.2512

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 111.4213 110.6745 111.3196
[2,] 112.4954 111.4955 112.8904

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(110.808333333333, 111.165, 111.958333333333,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1d0mr1363127824.ps tmp/1d0mr1363127824.png",intern=TRUE))
character(0)
> try(system("convert tmp/2tgk31363127824.ps tmp/2tgk31363127824.png",intern=TRUE))
character(0)
> try(system("convert tmp/3p22p1363127824.ps tmp/3p22p1363127824.png",intern=TRUE))
character(0)
> try(system("convert tmp/4fgtx1363127824.ps tmp/4fgtx1363127824.png",intern=TRUE))
character(0)
> try(system("convert tmp/51b9h1363127824.ps tmp/51b9h1363127824.png",intern=TRUE))
character(0)
> try(system("convert tmp/60btp1363127824.ps tmp/60btp1363127824.png",intern=TRUE))
character(0)
> try(system("convert tmp/73kn91363127824.ps tmp/73kn91363127824.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.730   0.589   4.304