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(102.42,102.46,102.76,102.4,102.47,102.27,102.17,101.84,102.13,103.34,103.43,103.59,104.21,105.42,105.95,106.28,106.49,106.49,106.49,107.38,108.69,108.76,108.84,108.67,108.79,109.96,110.86,111,111.84,112.21,112.4,113.76,114.85,115.23,115.39,115.29,115.53,116.26,116.85,117.37,118.03,118.49,119.32,119.4,122.26,122.91,123.78,123.99,124.7,125.89,127.57,128.97,130.65,130.73,130.95,131.36,132.85,133.08,133.13,133.27,133.9,134.85,135.49,136.21,136.31,136.22,136.22,135.51,137.3,138.42,138.92,138.67)
> 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,] 102.42 104.21 108.79 115.53 124.70 133.90   NA
 [2,] 102.46 105.42 109.96 116.26 125.89 134.85   NA
 [3,] 102.76 105.95 110.86 116.85 127.57 135.49   NA
 [4,] 102.40 106.28 111.00 117.37 128.97 136.21   NA
 [5,] 102.47 106.49 111.84 118.03 130.65 136.31   NA
 [6,] 102.27 106.49 112.21 118.49 130.73 136.22   NA
 [7,] 102.17 106.49 112.40 119.32 130.95 136.22   NA
 [8,] 101.84 107.38 113.76 119.40 131.36 135.51   NA
 [9,] 102.13 108.69 114.85 122.26 132.85 137.30   NA
[10,] 103.34 108.76 115.23 122.91 133.08 138.42   NA
[11,] 103.43 108.84 115.39 123.78 133.13 138.92   NA
[12,] 103.59 108.67 115.29 123.99 133.27 138.67   NA
> darr
       [,1]  [,2]  [,3] [,4] [,5]  [,6] [,7]
 [1,]  0.04  1.21  1.17 0.73 1.19  0.95   NA
 [2,]  0.30  0.53  0.90 0.59 1.68  0.64   NA
 [3,] -0.36  0.33  0.14 0.52 1.40  0.72   NA
 [4,]  0.07  0.21  0.84 0.66 1.68  0.10   NA
 [5,] -0.20  0.00  0.37 0.46 0.08 -0.09   NA
 [6,] -0.10  0.00  0.19 0.83 0.22  0.00   NA
 [7,] -0.33  0.89  1.36 0.08 0.41 -0.71   NA
 [8,]  0.29  1.31  1.09 2.86 1.49  1.79   NA
 [9,]  1.21  0.07  0.38 0.65 0.23  1.12   NA
[10,]  0.09  0.08  0.16 0.87 0.05  0.50   NA
[11,]  0.16 -0.17 -0.10 0.21 0.14 -0.25   NA
[12,]  0.62  0.12  0.24 0.71 0.63    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/12qby1362653745.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/2hrfx1362653745.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/3x9k81362653745.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/4vvx51362653745.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,] 102.42 102.46 102.760 102.400 102.470 102.27 102.17 101.84 102.130 103.34
[2,] 104.21 105.42 105.950 106.280 106.490 106.49 106.49 107.38 108.690 108.76
[3,] 112.16 113.11 113.855 114.185 114.935 115.35 115.86 116.58 118.555 119.07
[4,] 124.70 125.89 127.570 128.970 130.650 130.73 130.95 131.36 132.850 133.08
[5,] 133.90 134.85 135.490 136.210 136.310 136.22 136.22 135.51 137.300 138.42
       [,11]  [,12]
[1,] 103.430 103.59
[2,] 108.840 108.67
[3,] 119.585 119.64
[4,] 133.130 133.27
[5,] 138.920 138.67

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

$conf
          [,1]      [,2]     [,3]      [,4]      [,5]      [,6]     [,7]
[1,]  98.94329  99.90619  99.9094  99.54922  99.35102  99.71442 100.0825
[2,] 125.37671 126.31381 127.8006 128.82078 130.51898 130.98558 131.6375
         [,8]    [,9]    [,10]    [,11]    [,12]
[1,] 101.1121 102.971 103.3828 103.9172 103.7722
[2,] 132.0479 134.139 134.7572 135.2528 135.5078

$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(102.42, 104.21, 112.16, 124.7, 133.9, 102.46,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/50q671362653745.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,] 0.73 0.300 -0.360 0.070 -0.20 -0.100 -0.710 0.29 0.070 0.050 -0.25  0.12
[2,] 0.73 0.530  0.140 0.100 -0.09  0.000 -0.330 1.09 0.230 0.080 -0.17  0.24
[3,] 1.06 0.615  0.425 0.435  0.04  0.095  0.245 1.40 0.515 0.125  0.02  0.62
[4,] 1.19 0.900  0.720 0.840  0.37  0.220  0.890 1.79 1.120 0.500  0.16  0.63
[5,] 1.21 0.900  1.400 1.680  0.46  0.220  1.360 1.79 1.210 0.870  0.21  0.71

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

$conf
          [,1]     [,2]       [,3]       [,4]       [,5]        [,6]       [,7]
[1,] 0.7632851 0.376338 0.05088127 -0.0423239 -0.2567149 -0.04690711 -0.5419394
[2,] 1.3567149 0.853662 0.79911873  0.9123239  0.3367149  0.23690711  1.0319394
          [,8]        [,9]      [,10]      [,11]    [,12]
[1,] 0.9484774 -0.05907875 -0.1459136 -0.1928607 0.344427
[2,] 1.8515226  1.08907875  0.3959136  0.2328607 0.895573

$out
[1] 0.04 1.68 0.83 2.86

$group
[1] 1 2 6 8

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

Warning message:
In bxp(list(stats = c(0.730000000000004, 0.730000000000004, 1.05999999999999,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6lmgb1362653745.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,] 101.84 104.210 108.790 115.530 124.700 133.90   NA
[2,] 102.22 106.115 110.930 117.110 128.270 135.50   NA
[3,] 102.44 106.490 112.305 118.905 130.840 136.22   NA
[4,] 103.05 108.680 115.040 122.585 132.965 137.86   NA
[5,] 103.59 108.840 115.390 123.990 133.270 138.92   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]
[1,] 102.0614 105.3201 110.4304 116.4078 128.6986 135.1436   NA
[2,] 102.8186 107.6599 114.1796 121.4022 132.9814 137.2964   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(101.84, 102.22, 102.44, 103.05, 103.59, 104.21,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/75qfb1362653745.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,] 114.9250 112.1600 113.8812
[2,] 116.8092 114.0200 116.3994
[3,] 117.8300 115.6050 117.9000
[4,] 119.9850 118.8125 120.3369
[5,] 120.5817 119.6400 120.6375

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 116.3815 113.4191 116.1041
[2,] 119.2785 117.7909 119.6959

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(114.925, 116.809166666667, 117.83, 119.985,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/12qby1362653745.ps tmp/12qby1362653745.png",intern=TRUE))
character(0)
> try(system("convert tmp/2hrfx1362653745.ps tmp/2hrfx1362653745.png",intern=TRUE))
character(0)
> try(system("convert tmp/3x9k81362653745.ps tmp/3x9k81362653745.png",intern=TRUE))
character(0)
> try(system("convert tmp/4vvx51362653745.ps tmp/4vvx51362653745.png",intern=TRUE))
character(0)
> try(system("convert tmp/50q671362653745.ps tmp/50q671362653745.png",intern=TRUE))
character(0)
> try(system("convert tmp/6lmgb1362653745.ps tmp/6lmgb1362653745.png",intern=TRUE))
character(0)
> try(system("convert tmp/75qfb1362653745.ps tmp/75qfb1362653745.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.424   0.613   4.026