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(82.7,88.9,105.9,100.8,94,105,58.5,87.6,113.1,112.5,89.6,74.5,82.7,90.1,109.4,96,89.2,109.1,49.1,92.9,107.7,103.5,91.1,79.8,71.9,82.9,90.1,100.7,90.7,108.8,44.1,93.6,107.4,96.5,93.6,76.5,76.7,84.0,103.3,88.5,99.0,105.9,44.7,94.0,107.1,104.8,102.5,77.7,85.2,91.3,106.5,92.4,97.5,107,51.1,98.6,102.2,114.3,99.4,72.5,92.3,99.4,85.9,109.4,97.6)
> par1 = '15'
> #'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] 65
> (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 4 4 4
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]
 [1,]  82.7  96.0  44.1 104.8  92.3
 [2,]  88.9  89.2  93.6 102.5  99.4
 [3,] 105.9 109.1 107.4  77.7  85.9
 [4,] 100.8  49.1  96.5  85.2 109.4
 [5,]  94.0  92.9  93.6  91.3  97.6
 [6,] 105.0 107.7  76.5 106.5    NA
 [7,]  58.5 103.5  76.7  92.4    NA
 [8,]  87.6  91.1  84.0  97.5    NA
 [9,] 113.1  79.8 103.3 107.0    NA
[10,] 112.5  71.9  88.5  51.1    NA
[11,]  89.6  82.9  99.0  98.6    NA
[12,]  74.5  90.1 105.9 102.2    NA
[13,]  82.7 100.7  44.7 114.3    NA
[14,]  90.1  90.7  94.0  99.4    NA
[15,] 109.4 108.8 107.1  72.5    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/1rx1r1225415063.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/2vcdn1225415063.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/36ual1225415063.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/4xne31225415063.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,]  82.7  88.9  77.7  85.2 91.3  76.50  58.50 84.00  79.80  51.1 82.90  74.50
[2,]  82.7  89.2  85.9  85.2 92.9  90.75  67.60 85.80  91.55  61.5 86.25  82.30
[3,]  92.3  93.6 105.9  96.5 93.6 105.75  84.55 89.35 105.15  80.2 94.10  96.15
[4,]  96.0  99.4 107.4 100.8 94.0 107.10  97.95 94.30 110.05 100.5 98.80 104.05
[5,] 104.8 102.5 109.1 109.4 94.0 107.70 103.50 97.50 113.10 112.5 99.00 105.90
     [,13] [,14]  [,15]
[1,]  44.7 90.10  72.50
[2,]  63.7 90.40  89.80
[3,]  91.7 92.35 107.95
[4,] 107.5 96.70 109.10
[5,] 114.3 99.40 109.40

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

$conf
          [,1]     [,2]      [,3]      [,4]     [,5]     [,6]     [,7]   [,8]
[1,]  82.90225  86.3927  90.70815  85.47708 92.82274  92.8335  60.5735 82.635
[2,] 101.69775 100.8073 121.09185 107.52292 94.37726 118.6665 108.5265 96.065
        [,9]  [,10]    [,11]    [,12]   [,13]  [,14]   [,15]
[1,]  90.535  49.39  84.1855  78.9675  57.098 87.373  92.703
[2,] 119.765 111.01 104.0145 113.3325 126.302 97.327 123.197

$out
[1] 44.1 49.1 97.6

$group
[1] 1 4 5

$names
 [1] "1"  "2"  "3"  "4"  "5"  "6"  "7"  "8"  "9"  "10" "11" "12" "13" "14" "15"

Warning message:
In bxp(list(stats = c(82.7, 82.7, 92.3, 96, 104.8, 88.9, 89.2, 93.6,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5n3tf1225415063.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,]  58.50  71.90  76.50  72.50  85.9
[2,]  85.15  86.05  80.35  88.25  92.3
[3,]  90.10  91.10  93.60  98.60  97.6
[4,] 105.45 102.10 101.15 103.65  99.4
[5,] 113.10 109.10 107.40 114.30 109.4

$n
[1] 15 15 15 15  5

$conf
         [,1]     [,2]      [,3]     [,4]      [,5]
[1,] 81.81853 84.55233  85.11455  92.3175  92.58316
[2,] 98.38147 97.64767 102.08545 104.8825 102.61684

$out
[1] 49.1 44.1 44.7 51.1

$group
[1] 2 3 3 4

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

Warning message:
In bxp(list(stats = c(58.5, 85.15, 90.1, 105.45, 113.1, 71.9, 86.05,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6ecwp1225415063.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,]  81.000  80.200  80.60000
[2,]  86.900  92.000  89.52500
[3,]  93.175  93.600  93.31250
[4,]  95.960 100.825  95.65625
[5,] 100.800 107.950 103.70000

$n
[1] 15 15 15

$conf
         [,1]    [,2]     [,3]
[1,] 89.47893 89.9998 90.81123
[2,] 96.87107 97.2002 95.81377

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(81, 86.9, 93.175, 95.96, 100.8, 80.2, 92,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1rx1r1225415063.ps tmp/1rx1r1225415063.png")
> system("convert tmp/2vcdn1225415063.ps tmp/2vcdn1225415063.png")
> system("convert tmp/36ual1225415063.ps tmp/36ual1225415063.png")
> system("convert tmp/4xne31225415063.ps tmp/4xne31225415063.png")
> system("convert tmp/5n3tf1225415063.ps tmp/5n3tf1225415063.png")
> system("convert tmp/6ecwp1225415063.ps tmp/6ecwp1225415063.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.266   0.805   3.119