R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(96.5,97.3,122.0,91.0,107.9,114.6,98.0,95.5,98.7,115.9,110.4,109.5,92.3,102.1,112.8,110.2,98.9,119.0,104.3,98.8,109.4,170.3,118.0,116.9,111.7,116.8,116.1,114.8,110.8,122.8,104.7,86.0,127.2,126.1,114.6,127.8,105.2,113.1,161.0,126.9,117.7,144.9,119.4,107.1,142.8,126.2,126.9,179.2,105.3,114.8,125.4,113.2,134.4,150.0,100.9,101.8,137.7,138.7,135.4,153.8,119.5,123.3,166.4,137.5,142.2,167.0,112.3,120.6,154.9,153.4,156.2,175.8,131.7,130.1,161.1,128.2,140.3,168.2,110.2,126.2)
> 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,]  96.5  92.3 111.7 105.2 105.3 119.5 131.7
 [2,]  97.3 102.1 116.8 113.1 114.8 123.3 130.1
 [3,] 122.0 112.8 116.1 161.0 125.4 166.4 161.1
 [4,]  91.0 110.2 114.8 126.9 113.2 137.5 128.2
 [5,] 107.9  98.9 110.8 117.7 134.4 142.2 140.3
 [6,] 114.6 119.0 122.8 144.9 150.0 167.0 168.2
 [7,]  98.0 104.3 104.7 119.4 100.9 112.3 110.2
 [8,]  95.5  98.8  86.0 107.1 101.8 120.6 126.2
 [9,]  98.7 109.4 127.2 142.8 137.7 154.9    NA
[10,] 115.9 170.3 126.1 126.2 138.7 153.4    NA
[11,] 110.4 118.0 114.6 126.9 135.4 156.2    NA
[12,] 109.5 116.9 127.8 179.2 153.8 175.8    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/1r2du1230317748.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/2wnw11230317748.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/39jin1230317748.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/4bj911230317748.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]
[1,]  92.30  97.30 112.80  91.00  98.90 114.6  98.00  86.00  98.70 115.90
[2,] 100.85 107.60 119.05 111.70 109.35 120.9 102.60  97.15 109.40 126.10
[3,] 105.30 114.80 125.40 114.80 117.70 144.9 104.70 101.80 132.45 132.45
[4,] 115.60 120.05 161.05 127.55 137.35 158.5 111.25 113.85 142.80 153.40
[5,] 131.70 130.10 166.40 137.50 142.20 168.2 119.40 126.20 154.90 170.30
      [,11] [,12]
[1,] 110.40 109.5
[2,] 114.60 116.9
[3,] 122.45 140.8
[4,] 135.40 175.8
[5,] 156.20 179.2

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

$conf
          [,1]     [,2]     [,3]     [,4]     [,5]     [,6]      [,7]      [,8]
[1,]  96.49154 107.3651 100.3183 105.3346 100.9789 122.4459  99.53436  91.82703
[2,] 114.10846 122.2349 150.4817 124.2654 134.4211 167.3541 109.86564 111.77297
         [,9]    [,10]    [,11]    [,12]
[1,] 110.9059 114.8406 109.0333 102.8076
[2,] 153.9941 150.0594 135.8667 178.7924

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(92.3, 100.85, 105.3, 115.6, 131.7, 97.3, 107.6,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5m3571230317748.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,]  91.0  92.30 104.70 105.20 100.90 112.30 110.2
[2,]  96.9 100.50 111.25 115.40 109.25 121.95 127.2
[3,] 103.3 109.80 115.45 126.55 129.90 147.80 130.9
[4,] 112.5 117.45 124.45 143.85 138.20 161.30 150.7
[5,] 122.0 119.00 127.80 179.20 153.80 175.80 168.2

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

$conf
          [,1]    [,2]     [,3]     [,4]     [,5]     [,6]     [,7]
[1,]  96.18474 102.069 109.4294 113.5738 116.6957 129.8522 117.7726
[2,] 110.41526 117.531 121.4706 139.5262 143.1043 165.7478 144.0274

$out
[1] 170.3  86.0

$group
[1] 2 3

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

Warning message:
In bxp(list(stats = c(91, 96.9, 103.3, 112.5, 122, 92.3, 100.5,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6a82c1230317748.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,] 105.1429 101.800 105.5000
[2,] 111.4071 110.050 111.0250
[3,] 124.3298 120.075 123.8563
[4,] 138.1310 132.450 138.8125
[5,] 143.8333 144.900 144.9625

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 112.1409 109.8582 111.1822
[2,] 136.5187 130.2918 136.5303

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(105.142857142857, 111.407142857143, 124.329761904762,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1r2du1230317748.ps tmp/1r2du1230317748.png")
> system("convert tmp/2wnw11230317748.ps tmp/2wnw11230317748.png")
> system("convert tmp/39jin1230317748.ps tmp/39jin1230317748.png")
> system("convert tmp/4bj911230317748.ps tmp/4bj911230317748.png")
> system("convert tmp/5m3571230317748.ps tmp/5m3571230317748.png")
> system("convert tmp/6a82c1230317748.ps tmp/6a82c1230317748.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.058   0.805   1.377