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 = '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] 61
> (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 4 4 4 4 4 4 4 4 4 4 4 4 4 4
> arr
       [,1]  [,2] [,3] [,4]  [,5]
 [1,] 109.2  86.4 97.2 72.4 100.3
 [2,]  88.6  88.0 94.1 78.8    NA
 [3,]  94.3  75.1 80.7 87.3    NA
 [4,]  98.3 109.7 70.5 91.0    NA
 [5,]  86.4 103.0 87.8 80.1    NA
 [6,]  80.6  82.1 89.5 73.6    NA
 [7,] 104.1  68.0 99.6 86.4    NA
 [8,] 108.2  96.4 84.2 74.5    NA
 [9,]  93.4  94.3 75.1 71.2    NA
[10,]  71.9  90.0 92.0 92.4    NA
[11,]  94.1  88.0 80.8 81.5    NA
[12,]  94.9  76.1 73.1 85.3    NA
[13,]  96.4  82.5 99.8 69.9    NA
[14,]  91.1  81.4 90.0 84.2    NA
[15,]  84.4  66.5 83.1 90.7    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/freestat/rcomp/tmp/1giwq1225396445.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/freestat/rcomp/tmp/2l8mn1225396445.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/freestat/rcomp/tmp/3ohmc1225396445.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/freestat/rcomp/tmp/4r1wc1225396445.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,]  72.4 78.80 75.1  70.50  80.10 73.60  68.00  74.50 71.20 71.90 80.80  73.1
[2,]  86.4 83.40 77.9  80.75  83.25 77.10  77.20  79.35 73.15 80.95 81.15  74.6
[3,]  97.2 88.30 84.0  94.65  87.10 81.35  93.00  90.30 84.25 91.00 84.75  80.7
[4,] 100.3 91.35 90.8 104.00  95.40 85.80 101.85 102.30 93.85 92.20 91.05  90.1
[5,] 109.2 94.10 94.3 109.70 103.00 89.50 104.10 108.20 94.30 92.40 94.10  94.9
     [,13] [,14] [,15]
[1,] 69.90 81.40 66.50
[2,] 76.20 82.80 74.80
[3,] 89.45 87.10 83.75
[4,] 98.10 90.55 87.55
[5,] 99.80 91.10 90.70

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

$conf
         [,1]    [,2]   [,3]     [,4]    [,5]   [,6]     [,7]     [,8]    [,9]
[1,]  87.3783 82.0195 73.809  76.2825 77.5015 74.477  73.5265  72.1695  67.897
[2,] 107.0217 94.5805 94.191 113.0175 96.6985 88.223 112.4735 108.4305 100.603
       [,10]  [,11]  [,12]   [,13]   [,14]   [,15]
[1,] 82.1125 76.929 68.455  72.149 80.9775 73.6775
[2,] 99.8875 92.571 92.945 106.751 93.2225 93.8225

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(72.4, 86.4, 97.2, 100.3, 109.2, 78.8, 83.4,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/56roe1225396445.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,]  80.60  66.50 70.50 69.90 100.3
[2,]  87.50  78.75 80.75 74.05 100.3
[3,]  94.10  86.40 87.80 81.50 100.3
[4,]  97.35  92.15 93.05 86.85 100.3
[5,] 109.20 109.70 99.80 92.40 100.3

$n
[1] 15 15 15 15  1

$conf
         [,1]     [,2]     [,3]     [,4]  [,5]
[1,] 90.08165 80.93341 82.78216 76.27819 100.3
[2,] 98.11835 91.86659 92.81784 86.72181 100.3

$out
[1] 71.9

$group
[1] 1

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

Warning message:
In bxp(list(stats = c(80.6, 87.5, 94.1, 97.35, 109.2, 66.5, 78.75,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/6vqq31225396445.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,] 81.175 80.700 81.4000
[2,] 83.925 84.125 84.0250
[3,] 86.675 87.100 87.8375
[4,] 89.425 90.650 89.6750
[5,] 93.100 97.200 93.5125

$n
[1] 15 15 15

$conf
         [,1]    [,2]     [,3]
[1,] 84.43125 84.4381 85.53256
[2,] 88.91875 89.7619 90.14244

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(81.175, 83.925, 86.675, 89.425, 93.1, 80.7,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1giwq1225396445.ps tmp/1giwq1225396445.png")
> system("convert tmp/2l8mn1225396445.ps tmp/2l8mn1225396445.png")
> system("convert tmp/3ohmc1225396445.ps tmp/3ohmc1225396445.png")
> system("convert tmp/4r1wc1225396445.ps tmp/4r1wc1225396445.png")
> system("convert tmp/56roe1225396445.ps tmp/56roe1225396445.png")
> system("convert tmp/6vqq31225396445.ps tmp/6vqq31225396445.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.953   1.261   2.139