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(119.5,125,145,105.3,116.9,120.1,88.9,78.4,114.6,113.3,117,99.6,99.4,101.9,115.2,108.5,113.8,121,92.2,90.2,101.5,126.6,93.9,89.8,93.4,101.5,110.4,105.9,108.4,113.9,86.1,69.4,101.2,100.5,98,106.6,90.1,96.9,125.9,112,100,123.9,79.8,83.4,113.6,112.9,104,109.9,99,106.3,128.9,111.1,102.9,130,87,87.5,117.6,103.4,110.8,112.6,102.5,112.4,135.6,105.1,127.7,137,91,90.5,122.4,123.3,124.3,120,118.1,119,142.7,123.6,129.6,146.9,108.7,99.4)
> 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] 80
> (np <- floor(n / par1))
[1] 6
> 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] 7 7 7 7 7 7 7 7 6 6 6 6
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]  [,7]
 [1,] 119.5  99.4  93.4  90.1  99.0 102.5 118.1
 [2,] 125.0 101.9 101.5  96.9 106.3 112.4 119.0
 [3,] 145.0 115.2 110.4 125.9 128.9 135.6 142.7
 [4,] 105.3 108.5 105.9 112.0 111.1 105.1 123.6
 [5,] 116.9 113.8 108.4 100.0 102.9 127.7 129.6
 [6,] 120.1 121.0 113.9 123.9 130.0 137.0 146.9
 [7,]  88.9  92.2  86.1  79.8  87.0  91.0 108.7
 [8,]  78.4  90.2  69.4  83.4  87.5  90.5  99.4
 [9,] 114.6 101.5 101.2 113.6 117.6 122.4    NA
[10,] 113.3 126.6 100.5 112.9 103.4 123.3    NA
[11,] 117.0  93.9  98.0 104.0 110.8 124.3    NA
[12,]  99.6  89.8 106.6 109.9 112.6 120.0    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/19ubv1193402872.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/2200a1193402872.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/3p4uh1193402872.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/4nuu21193402872.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]
[1,]  90.1  96.9 110.40 105.10 100.00 113.90 79.80 69.40 101.2 100.5  93.9
[2,]  96.2 101.7 120.55 105.60 105.65 120.55 86.55 80.90 101.5 103.4  98.0
[3,]  99.4 106.3 128.90 108.50 113.80 123.90 88.90 87.50 114.1 113.1 107.4
[4,] 110.3 115.7 139.15 111.55 122.30 133.50 91.60 90.35 117.6 123.3 117.0
[5,] 119.5 125.0 145.00 112.00 129.60 146.90 92.20 99.40 122.4 126.6 124.3
      [,12]
[1,]  89.80
[2,]  99.60
[3,] 108.25
[4,] 112.60
[5,] 120.00

$n
 [1] 7 7 7 7 7 7 7 7 6 6 6 6

$conf
         [,1]      [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,]  90.9797  97.93943 117.7924 104.9468 103.8569 116.1665 85.88422 81.85661
[2,] 107.8203 114.66057 140.0076 112.0532 123.7431 131.6335 91.91578 93.14339
         [,9]    [,10]     [,11]     [,12]
[1,] 103.7150 100.2639  95.14439  99.86458
[2,] 124.4850 125.9361 119.65561 116.63542

$out
[1] 123.6 108.7

$group
[1] 4 7

$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(90.1, 96.2, 99.4, 110.3, 119.5, 96.9, 101.7,  
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5lh131193402872.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]   [,7]
[1,]  78.40  89.80  86.10  79.80  87.00  90.5  99.40
[2,] 102.45  93.05  95.70  93.50 100.95 103.8 113.40
[3,] 115.75 101.70 101.35 106.95 108.55 121.2 121.30
[4,] 119.80 114.50 107.50 113.25 115.10 126.0 136.15
[5,] 145.00 126.60 113.90 125.90 130.00 137.0 146.90

$n
[1] 12 12 12 12 12 12  8

$conf
         [,1]      [,2]      [,3]     [,4]     [,5]     [,6]     [,7]
[1,] 107.8365  91.91651  95.96794  97.9419 102.0961 111.0744 108.5915
[2,] 123.6635 111.48349 106.73206 115.9581 115.0039 131.3256 134.0085

$out
[1] 69.4

$group
[1] 3

$names
[1] "1" "2" "3" "4" "5" "6" NA 

Warning message:
some notches went outside hinges ('box'): maybe set notch=FALSE in: bxp(list(stats = c(78.4, 102.45, 115.75, 119.8, 145, 89.8, 93.05,  
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6txj71193402872.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,] 103.1429  87.500 103.2500
[2,] 104.7798 102.850 104.9437
[3,] 109.6071 108.375 108.6375
[4,] 113.7595 113.950 113.6312
[5,] 114.1857 128.900 113.9750

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 105.5114 103.3122 104.6751
[2,] 113.7029 113.4378 112.5999

$out
[1] 129.10000 127.54286  90.52857  85.54286 129.85000 127.02500  89.07500
[8]  85.62500

$group
[1] 1 1 1 1 3 3 3 3

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

Warning message:
some notches went outside hinges ('box'): maybe set notch=FALSE in: bxp(list(stats = c(103.142857142857, 104.779761904762, 109.607142857143,  
> dev.off()
null device 
          1 
> 
> system("convert tmp/19ubv1193402872.ps tmp/19ubv1193402872.png")
> system("convert tmp/2200a1193402872.ps tmp/2200a1193402872.png")
> system("convert tmp/3p4uh1193402872.ps tmp/3p4uh1193402872.png")
> system("convert tmp/4nuu21193402872.ps tmp/4nuu21193402872.png")
> system("convert tmp/5lh131193402872.ps tmp/5lh131193402872.png")
> system("convert tmp/6txj71193402872.ps tmp/6txj71193402872.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.525   0.928   1.779