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(109.20,88.60,94.30,98.30,86.40,80.60,104.10,108.20,93.40,71.90,94.10,94.90,96.40,91.10,84.40,86.40,88.00,75.10,109.70,103.00,82.10,68.00,96.40,94.30,90.00,88.00,76.10,82.50,81.40,66.50,97.20,94.10,80.70,70.50,87.80,89.50,99.60,84.20,75.10,92.00,80.80,73.10,99.80,90.00,83.10,72.40,78.80,87.30,91.00,80.10,73.60,86.40,74.50,71.20,92.40,81.50,85.30,69.90,84.20,90.70,100.30)
> par1 = '12'
> x <- x[x>quantile(x,0.05) & x<quantile(x,0.95)]
> #'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] 53
> (np <- floor(n / par1))
[1] 4
> 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] 5 5 5 5 5 4 4 4 4 4 4 4
> arr
      [,1]  [,2] [,3] [,4]  [,5]
 [1,] 88.6  86.4 97.2 90.0  81.5
 [2,] 94.3  88.0 94.1 83.1  85.3
 [3,] 98.3  75.1 80.7 72.4  84.2
 [4,] 86.4 103.0 87.8 78.8  90.7
 [5,] 80.6  82.1 89.5 87.3 100.3
 [6,] 93.4  96.4 99.6 91.0    NA
 [7,] 71.9  94.3 84.2 80.1    NA
 [8,] 94.1  90.0 75.1 73.6    NA
 [9,] 94.9  88.0 92.0 86.4    NA
[10,] 96.4  76.1 80.8 74.5    NA
[11,] 91.1  82.5 73.1 71.2    NA
[12,] 84.4  81.4 99.8 92.4    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/rcomp/tmp/1smq11225288886.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/rcomp/tmp/2hiwy1225288886.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/rcomp/tmp/3mfee1225288886.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/rcomp/tmp/4dq0x1225288886.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,] 81.5 83.1 72.4 86.4  80.6 91.0 71.90 73.60 86.40 74.50 71.20  81.4
[2,] 86.4 85.3 75.1 86.4  82.1 92.2 76.00 74.35 87.20 75.30 72.15  82.9
[3,] 88.6 88.0 80.7 87.8  87.3 94.9 82.15 82.55 90.00 78.45 77.80  88.4
[4,] 90.0 94.1 84.2 90.7  89.5 98.0 89.25 92.05 93.45 88.60 86.80  96.1
[5,] 90.0 94.3 84.2 90.7 100.3 99.6 94.30 94.10 94.90 96.40 91.10  99.8

$n
 [1] 5 5 5 5 5 4 4 4 4 4 4 4

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]   [,6]    [,7]   [,8]    [,9]
[1,] 86.05625 81.78194 74.26996 84.76163 82.07118 90.318 71.6825 68.567 85.0625
[2,] 91.14375 94.21806 87.13004 90.83837 92.52882 99.482 92.6175 96.533 94.9375
      [,10]   [,11]  [,12]
[1,] 67.943 66.2265 77.972
[2,] 88.957 89.3735 98.828

$out
[1]  97.2  98.3 103.0  78.8

$group
[1] 1 3 4 4

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

Warning message:
In bxp(list(stats = c(81.5, 86.4, 88.6, 90, 90, 83.1, 85.3, 88,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5vyxx1225288886.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]
[1,] 71.90  75.10 73.10 71.20  81.5
[2,] 85.40  81.75 80.75 74.05  84.2
[3,] 92.25  87.20 88.65 81.60  85.3
[4,] 94.60  92.15 95.65 88.65  90.7
[5,] 98.30 103.00 99.80 92.40 100.3

$n
[1] 12 12 12 12  5

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]
[1,] 88.05382 82.45649 81.85401 74.94084 80.70712
[2,] 96.44618 91.94351 95.44599 88.25916 89.89288

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(71.9, 85.4, 92.25, 94.6, 98.3, 75.1, 81.75,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6jwo71225288886.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,] 79.4750 77.800 78.63750
[2,] 82.3825 81.425 81.29375
[3,] 88.3500 87.550 87.00000
[4,] 89.4200 88.500 89.32500
[5,] 95.1000 94.900 95.00000

$n
[1] 12 12 12

$conf
         [,1]     [,2]    [,3]
[1,] 85.14015 84.32305 83.3369
[2,] 91.55985 90.77695 90.6631

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(79.475, 82.3825, 88.35, 89.42, 95.1, 77.8,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1smq11225288886.ps tmp/1smq11225288886.png")
> system("convert tmp/2hiwy1225288886.ps tmp/2hiwy1225288886.png")
> system("convert tmp/3mfee1225288886.ps tmp/3mfee1225288886.png")
> system("convert tmp/4dq0x1225288886.ps tmp/4dq0x1225288886.png")
> system("convert tmp/5vyxx1225288886.ps tmp/5vyxx1225288886.png")
> system("convert tmp/6jwo71225288886.ps tmp/6jwo71225288886.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.288   0.825   1.642