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(91.2,99.2,108.2,101.5,106.9,104.4,77.9,60,99.5,95,105.6,102.5,93.3,97.3,127,111.7,96.4,133,72.2,95.8,124.1,127.6,110.7,104.6,112.7,115.3,139.4,119,97.4,154,81.5,88.8,127.7,105.1,114.9,106.4,104.5,121.6,141.4,99,126.7,134.1,81.3,88.6,132.7,132.9,134.4,103.7,119.7,115,132.9,108.5,113.9,142,97.7,92.2,128.8,134.9,128.2,114.8)
> 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,]  91.2  93.3 112.7 104.5 119.7   NA
 [2,]  99.2  97.3 115.3 121.6 115.0   NA
 [3,] 108.2 127.0 139.4 141.4 132.9   NA
 [4,] 101.5 111.7 119.0  99.0 108.5   NA
 [5,] 106.9  96.4  97.4 126.7 113.9   NA
 [6,] 104.4 133.0 154.0 134.1 142.0   NA
 [7,]  77.9  72.2  81.5  81.3  97.7   NA
 [8,]  60.0  95.8  88.8  88.6  92.2   NA
 [9,]  99.5 124.1 127.7 132.7 128.8   NA
[10,]  95.0 127.6 105.1 132.9 134.9   NA
[11,] 105.6 110.7 114.9 134.4 128.2   NA
[12,] 102.5 104.6 106.4 103.7 114.8   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/1078y1225741430.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/26bdd1225741430.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/3wnja1225741430.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/4e76f1225741430.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,]  91.2  97.3 127.0  99.0  96.4 133.0 77.9 88.6 124.1  95.0 105.6 102.5
[2,]  93.3  99.2 127.0 101.5  97.4 133.0 77.9 88.6 124.1 105.1 110.7 103.7
[3,] 104.5 115.0 132.9 108.5 106.9 134.1 81.3 88.8 127.7 127.6 114.9 104.6
[4,] 112.7 115.3 139.4 111.7 113.9 142.0 81.5 92.2 128.8 132.9 128.2 106.4
[5,] 119.7 121.6 141.4 119.0 126.7 154.0 81.5 95.8 132.7 134.9 134.4 106.4

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

$conf
        [,1]     [,2]     [,3]     [,4]      [,5]     [,6]     [,7]     [,8]
[1,]  90.792 103.6238 124.1382 101.2927  95.24114 127.7406 78.75625 86.25625
[2,] 118.208 126.3762 141.6618 115.7073 118.55886 140.4594 83.84375 91.34375
        [,9]    [,10]    [,11]    [,12]
[1,] 124.379 107.9566 102.5345 102.6922
[2,] 131.021 147.2434 127.2655 106.5078

$out
[1] 108.2 104.4  72.2  97.7  60.0  99.5 114.8

$group
[1]  3  6  7  7  8  9 12

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

Warning message:
In bxp(list(stats = c(91.2, 93.3, 104.5, 112.7, 119.7, 97.3, 99.2,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5se9h1225741430.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,]  77.9  72.20  81.50  81.30  92.20   NA
[2,]  93.1  96.10 101.25 101.35 111.20   NA
[3,] 100.5 107.65 113.80 124.15 117.35   NA
[4,] 105.0 125.55 123.35 133.50 130.85   NA
[5,] 108.2 133.00 154.00 141.40 142.00   NA

$n
[1] 12 12 12 12 12  0

$conf
          [,1]      [,2]     [,3]     [,4]     [,5] [,6]
[1,]  95.07233  94.21766 103.7200 109.4862 108.3875   NA
[2,] 105.92767 121.08234 123.8800 138.8138 126.3125   NA

$out
[1] 60

$group
[1] 1

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

Warning message:
In bxp(list(stats = c(77.9, 93.1, 100.5, 105, 108.2, 72.2, 96.1,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6rfxa1225741430.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,]  82.12  81.30  79.700
[2,] 105.34 104.55 104.025
[3,] 108.97 111.70 106.925
[4,] 120.83 127.65 122.950
[5,] 133.50 134.10 137.500

$n
[1] 12 12 12

$conf
         [,1]     [,2]      [,3]
[1,] 101.9049 101.1639  98.29318
[2,] 116.0351 122.2361 115.55682

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(82.12, 105.34, 108.97, 120.83, 133.5, 81.3,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1078y1225741430.ps tmp/1078y1225741430.png")
> system("convert tmp/26bdd1225741430.ps tmp/26bdd1225741430.png")
> system("convert tmp/3wnja1225741430.ps tmp/3wnja1225741430.png")
> system("convert tmp/4e76f1225741430.ps tmp/4e76f1225741430.png")
> system("convert tmp/5se9h1225741430.ps tmp/5se9h1225741430.png")
> system("convert tmp/6rfxa1225741430.ps tmp/6rfxa1225741430.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.264   0.808   1.523