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(96.40,91.10,84.40,86.40,88.00,75.10,109.70,103.00,82.10,68.00,96.40,94.30)
> 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] 12
> (np <- floor(n / par1))
[1] 1
> 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] 1 1 1 1 1 1 1 1 1 1 1 1
> arr
       [,1] [,2]
 [1,]  96.4   NA
 [2,]  91.1   NA
 [3,]  84.4   NA
 [4,]  86.4   NA
 [5,]  88.0   NA
 [6,]  75.1   NA
 [7,] 109.7   NA
 [8,] 103.0   NA
 [9,]  82.1   NA
[10,]  68.0   NA
[11,]  96.4   NA
[12,]  94.3   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/1j1q71225455351.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/2wgpm1225455351.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/3fxqi1225455351.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/4bhwz1225455351.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,] 96.4 91.1 84.4 86.4   88 75.1 109.7  103 82.1    68  96.4  94.3
[2,] 96.4 91.1 84.4 86.4   88 75.1 109.7  103 82.1    68  96.4  94.3
[3,] 96.4 91.1 84.4 86.4   88 75.1 109.7  103 82.1    68  96.4  94.3
[4,] 96.4 91.1 84.4 86.4   88 75.1 109.7  103 82.1    68  96.4  94.3
[5,] 96.4 91.1 84.4 86.4   88 75.1 109.7  103 82.1    68  96.4  94.3

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

$conf
     [,1] [,2] [,3] [,4] [,5] [,6]  [,7] [,8] [,9] [,10] [,11] [,12]
[1,] 96.4 91.1 84.4 86.4   88 75.1 109.7  103 82.1    68  96.4  94.3
[2,] 96.4 91.1 84.4 86.4   88 75.1 109.7  103 82.1    68  96.4  94.3

$out
numeric(0)

$group
numeric(0)

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

> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5217f1225455351.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]
[1,]  68.00   NA
[2,]  83.25   NA
[3,]  89.55   NA
[4,]  96.40   NA
[5,] 109.70   NA

$n
[1] 12  0

$conf
        [,1] [,2]
[1,] 83.5522   NA
[2,] 95.5478   NA

$out
numeric(0)

$group
numeric(0)

$names
[1] "1" NA 

> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/632i91225455351.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,]  68.00  68.00  68.00
[2,]  83.25  83.25  83.25
[3,]  89.55  89.55  89.55
[4,]  96.40  96.40  96.40
[5,] 109.70 109.70 109.70

$n
[1] 12 12 12

$conf
        [,1]    [,2]    [,3]
[1,] 83.5522 83.5522 83.5522
[2,] 95.5478 95.5478 95.5478

$out
numeric(0)

$group
numeric(0)

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

> dev.off()
null device 
          1 
> 
> system("convert tmp/1j1q71225455351.ps tmp/1j1q71225455351.png")
> system("convert tmp/2wgpm1225455351.ps tmp/2wgpm1225455351.png")
> system("convert tmp/3fxqi1225455351.ps tmp/3fxqi1225455351.png")
> system("convert tmp/4bhwz1225455351.ps tmp/4bhwz1225455351.png")
> system("convert tmp/5217f1225455351.ps tmp/5217f1225455351.png")
> system("convert tmp/632i91225455351.ps tmp/632i91225455351.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.286   0.834   1.583