R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(103.51,104.35,104.51,105.25,105.2,105.87,107.63,107.77,106.58,106.32,106.3,106.38,106.42,107.35,107.58,108.2,108.29,108.76,110.69,110.56,108.81,108.81,108.81,109.74,109.57,110.44,111.2,111.44,111.83,112.87,115.07,115.35,113.81,114.66,114.51,115.11,114.54,115.39,115.65,116.46,116.18,116.63,118.84,118.77,117.83,117.66,117.36,118,117.34,118.04,118.17,118.82,119,118.89,121.4,121.01,120.21,120.39,120.09,120.76,120.33,120.84,121.49,122.29,121.91,122.46,124.94,124.6,123.09,123.25,123.01,123.82)
> 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,] 103.51 106.42 109.57 114.54 117.34 120.33   NA
 [2,] 104.35 107.35 110.44 115.39 118.04 120.84   NA
 [3,] 104.51 107.58 111.20 115.65 118.17 121.49   NA
 [4,] 105.25 108.20 111.44 116.46 118.82 122.29   NA
 [5,] 105.20 108.29 111.83 116.18 119.00 121.91   NA
 [6,] 105.87 108.76 112.87 116.63 118.89 122.46   NA
 [7,] 107.63 110.69 115.07 118.84 121.40 124.94   NA
 [8,] 107.77 110.56 115.35 118.77 121.01 124.60   NA
 [9,] 106.58 108.81 113.81 117.83 120.21 123.09   NA
[10,] 106.32 108.81 114.66 117.66 120.39 123.25   NA
[11,] 106.30 108.81 114.51 117.36 120.09 123.01   NA
[12,] 106.38 109.74 115.11 118.00 120.76 123.82   NA
> darr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6] [,7]
 [1,]  0.84  0.93  0.87  0.85  0.70  0.51   NA
 [2,]  0.16  0.23  0.76  0.26  0.13  0.65   NA
 [3,]  0.74  0.62  0.24  0.81  0.65  0.80   NA
 [4,] -0.05  0.09  0.39 -0.28  0.18 -0.38   NA
 [5,]  0.67  0.47  1.04  0.45 -0.11  0.55   NA
 [6,]  1.76  1.93  2.20  2.21  2.51  2.48   NA
 [7,]  0.14 -0.13  0.28 -0.07 -0.39 -0.34   NA
 [8,] -1.19 -1.75 -1.54 -0.94 -0.80 -1.51   NA
 [9,] -0.26  0.00  0.85 -0.17  0.18  0.16   NA
[10,] -0.02  0.00 -0.15 -0.30 -0.30 -0.24   NA
[11,]  0.08  0.93  0.60  0.64  0.67  0.81   NA
[12,]  0.04 -0.17 -0.57 -0.66 -0.43    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/1sgxw1358027805.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/2ze0l1358027805.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/3b0961358027805.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/455j91358027805.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,] 103.510 104.350 104.510 105.25 105.200 105.87 107.630 107.77 106.58 106.32
[2,] 106.420 107.350 107.580 108.20 108.290 108.76 110.690 110.56 108.81 108.81
[3,] 112.055 112.915 113.425 113.95 114.005 114.75 116.955 117.06 115.82 116.16
[4,] 117.340 118.040 118.170 118.82 119.000 118.89 121.400 121.01 120.21 120.39
[5,] 120.330 120.840 121.490 122.29 121.910 122.46 124.940 124.60 123.09 123.25
       [,11]   [,12]
[1,] 106.300 106.380
[2,] 108.810 109.740
[3,] 115.935 116.555
[4,] 120.090 120.760
[5,] 123.010 123.820

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 105.0112 106.0196 106.5941 107.0998 107.0967 108.2158 110.0467 110.3194
[2,] 119.0988 119.8104 120.2559 120.8002 120.9133 121.2842 123.8633 123.8006
         [,9]    [,10]   [,11]    [,12]
[1,] 108.4666 108.6905 108.659 109.4467
[2,] 123.1734 123.6295 123.211 123.6633

$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(103.51, 106.42, 112.055, 117.34, 120.33, 104.35,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/52kj21358027805.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,] 0.510 0.130 0.620 -0.38 0.45 1.760 -0.39 -1.75 -0.26 -0.300 0.600 -0.66
[2,] 0.700 0.160 0.620 -0.28 0.45 1.930 -0.34 -1.54 -0.17 -0.300 0.600 -0.57
[3,] 0.845 0.245 0.695  0.02 0.51 2.205 -0.10 -1.35  0.08 -0.195 0.655 -0.43
[4,] 0.870 0.650 0.800  0.18 0.67 2.480  0.14 -0.94  0.18 -0.020 0.810 -0.17
[5,] 0.930 0.760 0.810  0.39 0.67 2.510  0.28 -0.80  0.18  0.000 0.930  0.04

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

$conf
          [,1]        [,2]      [,3]       [,4]      [,5]     [,6]       [,7]
[1,] 0.7353445 -0.07106583 0.5788942 -0.2767149 0.3680929 1.850232 -0.4096155
[2,] 0.9546555  0.56106583 0.8111058  0.3167149 0.6519071 2.559768  0.2096155
           [,8]       [,9]       [,10]     [,11]     [,12]
[1,] -1.7370194 -0.1457613 -0.37560904 0.5195432 -0.712639
[2,] -0.9629806  0.3057613 -0.01439096 0.7904568 -0.147361

$out
[1]  0.24  1.04 -0.11  0.85  0.08

$group
[1]  3  5  5  9 11

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

Warning message:
In bxp(list(stats = c(0.510000000000005, 0.700000000000003, 0.844999999999992,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/66bm81358027805.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,] 103.510 106.420 109.570 114.540 117.340 120.330   NA
[2,] 104.855 107.890 111.320 115.915 118.495 121.700   NA
[3,] 106.085 108.785 113.340 116.995 119.545 122.735   NA
[4,] 106.480 109.275 114.865 117.915 120.575 123.535   NA
[5,] 107.770 110.690 115.350 118.840 121.400 124.940   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]    [,6] [,7]
[1,] 105.3438 108.1533 111.7231 116.0828 118.5963 121.898   NA
[2,] 106.8262 109.4167 114.9569 117.9072 120.4937 123.572   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(103.51, 104.855, 106.085, 106.48, 107.77,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7yyul1358027805.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,] 111.9517 112.0550 111.9237
[2,] 113.4175 113.6875 113.3162
[3,] 114.6300 115.2850 114.4387
[4,] 115.4083 116.3575 115.2831
[5,] 116.4283 117.0600 116.2725

$n
[1] 12 12 12

$conf
        [,1]     [,2]     [,3]
[1,] 113.722 114.0672 113.5416
[2,] 115.538 116.5028 115.3359

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(111.951666666667, 113.4175, 114.63, 115.408333333333,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1sgxw1358027805.ps tmp/1sgxw1358027805.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ze0l1358027805.ps tmp/2ze0l1358027805.png",intern=TRUE))
character(0)
> try(system("convert tmp/3b0961358027805.ps tmp/3b0961358027805.png",intern=TRUE))
character(0)
> try(system("convert tmp/455j91358027805.ps tmp/455j91358027805.png",intern=TRUE))
character(0)
> try(system("convert tmp/52kj21358027805.ps tmp/52kj21358027805.png",intern=TRUE))
character(0)
> try(system("convert tmp/66bm81358027805.ps tmp/66bm81358027805.png",intern=TRUE))
character(0)
> try(system("convert tmp/7yyul1358027805.ps tmp/7yyul1358027805.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.281   0.552   3.836