R version 2.5.1 (2007-06-27)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(101.5,126.6,93.9,89.8,93.4,101.5,110.4,105.9,108.4,113.9,86.1,69.4,101.2,100.5,98,106.6,90.1,96.9,125.9,112,100,123.9,79.8,83.4,113.6,112.9,104,109.9,99,106.3,128.9,111.1,102.9,130,87,87.5,117.6,103.4,110.8,112.6,102.5,112.4,135.6,105.1,127.7,137,91,90.5,122.4,123.3,124.3,120,118.1,119,142.7,123.6,129.6,146.9,108.7,99.4)
> 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] 60
> (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] 5 5 5 5 5 5 5 5 5 5 5 5
> arr
       [,1]  [,2]  [,3]  [,4]  [,5] [,6]
 [1,] 101.5 101.2 113.6 117.6 122.4   NA
 [2,] 126.6 100.5 112.9 103.4 123.3   NA
 [3,]  93.9  98.0 104.0 110.8 124.3   NA
 [4,]  89.8 106.6 109.9 112.6 120.0   NA
 [5,]  93.4  90.1  99.0 102.5 118.1   NA
 [6,] 101.5  96.9 106.3 112.4 119.0   NA
 [7,] 110.4 125.9 128.9 135.6 142.7   NA
 [8,] 105.9 112.0 111.1 105.1 123.6   NA
 [9,] 108.4 100.0 102.9 127.7 129.6   NA
[10,] 113.9 123.9 130.0 137.0 146.9   NA
[11,]  86.1  79.8  87.0  91.0 108.7   NA
[12,]  69.4  83.4  87.5  90.5  99.4   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/1goi91193400194.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/27lsy1193400194.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/399161193400194.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/4flys1193400194.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,] 101.2 100.5  93.9 106.6  90.1  96.9 125.9 105.1 100.0 113.9  79.8  83.4
[2,] 101.5 103.4  98.0 106.6  93.4 101.5 125.9 105.9 102.9 123.9  86.1  83.4
[3,] 113.6 112.9 104.0 109.9  99.0 106.3 128.9 111.1 108.4 130.0  87.0  87.5
[4,] 117.6 123.3 110.8 112.6 102.5 112.4 135.6 112.0 127.7 137.0  91.0  90.5
[5,] 122.4 126.6 124.3 120.0 102.5 119.0 142.7 112.0 129.6 146.9  91.0  99.4

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

$conf
         [,1]      [,2]      [,3]     [,4]      [,5]      [,6]    [,7]     [,8]
[1,] 102.2238  98.83871  94.95555 105.6604  92.56996  98.59809 122.046 106.7898
[2,] 124.9762 126.96129 113.04445 114.1396 105.43004 114.00191 135.754 115.4102
          [,9]    [,10]    [,11]    [,12]
[1,]  90.87638 120.7436 83.53767 82.48316
[2,] 125.92362 139.2564 90.46233 92.51684

$out
[1]  89.8 118.1 110.4 123.6 108.7  69.4

$group
[1]  4  5  7  8 11 12

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

Warning message:
some notches went outside hinges ('box'): maybe set notch=FALSE in: bxp(list(stats = c(101.2, 101.5, 113.6, 117.6, 122.4, 100.5,  
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5i8481193400194.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,]  69.4  79.80  87.00  90.50 108.70   NA
[2,]  91.6  93.50 100.95 102.95 118.55   NA
[3,] 101.5 100.25 108.10 111.60 122.85   NA
[4,] 109.4 109.30 113.25 122.65 126.95   NA
[5,] 126.6 125.90 130.00 137.00 129.60   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]      [,2]     [,3]     [,4]     [,5] [,6]
[1,]  93.3813  93.04351 102.4899 102.6147 119.0187   NA
[2,] 109.6187 107.45649 113.7101 120.5853 126.6813   NA

$out
[1] 142.7 146.9  99.4

$group
[1] 5 5 5

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

Warning message:
some notches went outside hinges ('box'): maybe set notch=FALSE in: bxp(list(stats = c(69.4, 91.6, 101.5, 109.4, 126.6, 79.8, 93.5,  
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6kq3c1193400194.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,]  90.52  87.00  86.950
[2,] 103.41 101.50 101.175
[3,] 109.52 109.15 109.250
[4,] 113.53 113.25 114.325
[5,] 128.70 130.00 130.750

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 104.9042 103.7907 103.2522
[2,] 114.1358 114.5093 115.2478

$out
[1] 130.34  86.04

$group
[1] 1 1

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

Warning message:
some notches went outside hinges ('box'): maybe set notch=FALSE in: bxp(list(stats = c(90.52, 103.41, 109.52, 113.53, 128.7, 87,  
> dev.off()
null device 
          1 
> 
> system("convert tmp/1goi91193400194.ps tmp/1goi91193400194.png")
> system("convert tmp/27lsy1193400194.ps tmp/27lsy1193400194.png")
> system("convert tmp/399161193400194.ps tmp/399161193400194.png")
> system("convert tmp/4flys1193400194.ps tmp/4flys1193400194.png")
> system("convert tmp/5i8481193400194.ps tmp/5i8481193400194.png")
> system("convert tmp/6kq3c1193400194.ps tmp/6kq3c1193400194.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.373   0.834   1.586