R version 2.7.2 (2008-08-25)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(134.4,145,151.1,136.3,133.2,128.8,136.3,131.3,128.6,139.3,120.8,126.7,128.6,137.5,140.8,132.3,130.5,117.1,131.4,129.4,119.2,133.6,113.2,122.1,130.9,131.7,126.7,132.3,124.8,111.1,131.3,118.6,119.4,124,108.7,115.9,130.5,125.4,126,130.4,119.3,117.4,127.9,112.5,115.1,124.3,107.6,110.7,117.9,115.2,130.4,121.2,113.5,117.8,117.6,106,112.5,110.1,107.4,110.1,113.3)
> par1 = '12'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: Wessa P., (2007), Mean Plot (v1.0.1) 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
> #Technical description: Write here your technical program description
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 61
> (np <- floor(n / par1))
[1] 5
> arr <- array(NA,dim=c(par1,np+1))
> ari <- array(0,dim=par1)
> j <- 0
> for (i in 1:n)
+ {
+ j = j + 1
+ ari[j] = ari[j] + 1
+ arr[j,ari[j]] <- x[i]
+ if (j == par1) j = 0
+ }
> ari
 [1] 6 5 5 5 5 5 5 5 5 5 5 5
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]
 [1,] 134.4 128.6 130.9 130.5 117.9 113.3
 [2,] 145.0 137.5 131.7 125.4 115.2    NA
 [3,] 151.1 140.8 126.7 126.0 130.4    NA
 [4,] 136.3 132.3 132.3 130.4 121.2    NA
 [5,] 133.2 130.5 124.8 119.3 113.5    NA
 [6,] 128.8 117.1 111.1 117.4 117.8    NA
 [7,] 136.3 131.4 131.3 127.9 117.6    NA
 [8,] 131.3 129.4 118.6 112.5 106.0    NA
 [9,] 128.6 119.2 119.4 115.1 112.5    NA
[10,] 139.3 133.6 124.0 124.3 110.1    NA
[11,] 120.8 113.2 108.7 107.6 107.4    NA
[12,] 126.7 122.1 115.9 110.7 110.1    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/www/html/freestat/rcomp/tmp/1lb001225980828.ps",horizontal=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/www/html/freestat/rcomp/tmp/2lbhk1225980828.ps",horizontal=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/www/html/freestat/rcomp/tmp/3ltxb1225980829.ps",horizontal=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/www/html/freestat/rcomp/tmp/4ebcb1225980829.ps",horizontal=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,] 113.30 115.2 126.0 130.4 113.5 117.1 127.9 106.0 112.5 110.1 107.4 110.1
[2,] 117.90 125.4 126.7 130.4 119.3 117.1 127.9 112.5 115.1 124.0 107.6 110.7
[3,] 129.55 131.7 130.4 132.3 124.8 117.4 131.3 118.6 119.2 124.3 108.7 115.9
[4,] 130.90 137.5 140.8 132.3 130.5 117.8 131.4 129.4 119.4 133.6 113.2 122.1
[5,] 134.40 145.0 151.1 132.3 133.2 117.8 136.3 131.3 119.4 139.3 120.8 126.7

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 121.1646 123.1502 120.4370 130.9575 116.8861 116.9054 128.8269 106.6585
[2,] 137.9354 140.2498 140.3630 133.6425 132.7139 117.8946 133.7731 130.5415
         [,9]    [,10]    [,11]    [,12]
[1,] 116.1616 117.5167 104.7431 107.8448
[2,] 122.2384 131.0833 112.6569 123.9552

$out
[1] 136.3 121.2 128.8 111.1 117.6 128.6

$group
[1] 4 4 6 6 7 9

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

Warning message:
In bxp(list(stats = c(113.3, 117.9, 129.55, 130.9, 134.4, 115.2,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/5p01j1225980829.ps",horizontal=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,] 120.8 113.20 108.70 107.60 106.00 113.3
[2,] 128.7 120.65 117.25 113.80 110.10 113.3
[3,] 133.8 129.95 124.40 121.80 114.35 113.3
[4,] 137.8 132.95 131.10 126.95 117.85 113.3
[5,] 151.1 140.80 132.30 130.50 121.20 113.3

$n
[1] 12 12 12 12 12  1

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]  [,6]
[1,] 129.6494 124.3399 118.0829 115.8022 110.8152 113.3
[2,] 137.9506 135.5601 130.7171 127.7978 117.8848 113.3

$out
[1] 130.4

$group
[1] 5

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

Warning message:
In bxp(list(stats = c(120.8, 128.7, 133.8, 137.8, 151.1, 113.2,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/62i6p1225980829.ps",horizontal=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,] 111.5400 108.70 110.4000
[2,] 118.7000 118.00 117.3500
[3,] 125.0967 124.55 125.2938
[4,] 129.7000 130.85 130.5000
[5,] 135.0000 132.30 133.7500

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 120.0795 118.6890 119.2959
[2,] 130.1138 130.4110 131.2916

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(111.54, 118.7, 125.096666666667, 129.7, 135,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> system("convert tmp/1lb001225980828.ps tmp/1lb001225980828.png")
> system("convert tmp/2lbhk1225980828.ps tmp/2lbhk1225980828.png")
> system("convert tmp/3ltxb1225980829.ps tmp/3ltxb1225980829.png")
> system("convert tmp/4ebcb1225980829.ps tmp/4ebcb1225980829.png")
> system("convert tmp/5p01j1225980829.ps tmp/5p01j1225980829.png")
> system("convert tmp/62i6p1225980829.ps tmp/62i6p1225980829.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.982   1.314   2.504