R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(108.2,108.8,110.2,109.5,109.5,116,111.2,112.1,114,119.1,114.1,115.1,115.4,110.8,116,119.2,126.5,127.8,131.3,140.3,137.3,143,134.5,139.9,159.3,170.4,175,175.8,180.9,180.3,169.6,172.3,184.8,177.7,184.6,211.4,215.3,215.9,244.7,259.3,289,310.9,321,315.1,333.2,314.1,284.7,273.9,216,196.4,190.9,206.4,196.3,199.5,198.9,214.4,214.2,187.6,180.6,172.2,187.2)
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = ''
> par6 = ''
> par5 = ''
> par4 = ''
> par3 = ''
> par2 = ''
> par1 = '12'
> ylab = ''
> xlab = ''
> main = ''
> #'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] 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] 6 5 5 5 5 5 5 5 5 5 5 5
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]
 [1,] 108.2 115.4 159.3 215.3 216.0 187.2
 [2,] 108.8 110.8 170.4 215.9 196.4    NA
 [3,] 110.2 116.0 175.0 244.7 190.9    NA
 [4,] 109.5 119.2 175.8 259.3 206.4    NA
 [5,] 109.5 126.5 180.9 289.0 196.3    NA
 [6,] 116.0 127.8 180.3 310.9 199.5    NA
 [7,] 111.2 131.3 169.6 321.0 198.9    NA
 [8,] 112.1 140.3 172.3 315.1 214.4    NA
 [9,] 114.0 137.3 184.8 333.2 214.2    NA
[10,] 119.1 143.0 177.7 314.1 187.6    NA
[11,] 114.1 134.5 184.6 284.7 180.6    NA
[12,] 115.1 139.9 211.4 273.9 172.2    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/1gskm1261409249.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/244e71261409249.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/3j38g1261409249.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/44edr1261409249.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,] 108.20 108.8 110.2 109.5 109.5 116.0 111.2 112.1 114.0 119.1 114.1 115.1
[2,] 115.40 110.8 116.0 119.2 126.5 127.8 131.3 140.3 137.3 143.0 134.5 139.9
[3,] 173.25 170.4 175.0 175.8 180.9 180.3 169.6 172.3 184.8 177.7 180.6 172.2
[4,] 215.30 196.4 190.9 206.4 196.3 199.5 198.9 214.4 214.2 187.6 184.6 211.4
[5,] 216.00 215.9 244.7 259.3 289.0 199.5 198.9 315.1 214.2 187.6 184.6 273.9

$n
 [1] 6 5 5 5 5 5 5 5 5 5 5 5

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]    [,7]     [,8]
[1,] 108.8113 109.9153 122.0758 114.1847 131.5795 129.6370 121.834 119.9411
[2,] 237.6887 230.8847 227.9242 237.4153 230.2205 230.9630 217.366 224.6589
         [,9]    [,10]    [,11]    [,12]
[1,] 130.4627 146.1858 145.1995 121.6783
[2,] 239.1373 209.2142 216.0005 222.7217

$out
[1] 310.9 321.0 333.2 314.1 284.7

$group
[1]  6  7  9 10 11

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

Warning message:
In bxp(list(stats = c(108.2, 115.4, 173.25, 215.3, 216, 108.8, 110.8,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5icjy1261409249.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,] 108.20 110.80 159.30 215.30 172.20 187.2
[2,] 109.50 117.60 171.35 252.00 189.25 187.2
[3,] 111.65 129.55 176.75 286.85 197.65 187.2
[4,] 114.60 138.60 182.75 314.60 210.30 187.2
[5,] 119.10 143.00 184.80 333.20 216.00 187.2

$n
[1] 12 12 12 12 12  1

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]  [,6]
[1,] 109.3239 119.9718 171.5504 258.2977 188.0490 187.2
[2,] 113.9761 139.1282 181.9496 315.4023 207.2510 187.2

$out
[1] 211.4

$group
[1] 3

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

Warning message:
In bxp(list(stats = c(108.2, 109.5, 111.65, 114.6, 119.1, 110.8,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6uwmj1261409249.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,] 160.46 169.60 153.4500
[2,] 170.70 172.25 160.4750
[3,] 181.47 175.40 164.3750
[4,] 187.60 180.45 171.4875
[5,] 196.70 184.80 177.3500

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 173.7618 171.6599 159.3521
[2,] 189.1782 179.1401 169.3979

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(160.46, 170.7, 181.47, 187.6, 196.7, 169.6,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1gskm1261409249.ps tmp/1gskm1261409249.png",intern=TRUE))
character(0)
> try(system("convert tmp/244e71261409249.ps tmp/244e71261409249.png",intern=TRUE))
character(0)
> try(system("convert tmp/3j38g1261409249.ps tmp/3j38g1261409249.png",intern=TRUE))
character(0)
> try(system("convert tmp/44edr1261409249.ps tmp/44edr1261409249.png",intern=TRUE))
character(0)
> try(system("convert tmp/5icjy1261409249.ps tmp/5icjy1261409249.png",intern=TRUE))
character(0)
> try(system("convert tmp/6uwmj1261409249.ps tmp/6uwmj1261409249.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.046   0.793   1.953