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)
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = ''
> par6 = ''
> par5 = ''
> par4 = ''
> par3 = ''
> par2 = ''
> par1 = '5'
> 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] 12
> 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] 13 12 12 12 12
> arr
      [,1]  [,2] [,3]  [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
[1,] 109.2  80.6 94.1  86.4 82.1 88.0 97.2 89.5 80.8  72.4  73.6  81.5 100.3
[2,]  88.6 104.1 94.9  88.0 68.0 76.1 94.1 99.6 73.1  78.8  86.4  85.3    NA
[3,]  94.3 108.2 96.4  75.1 96.4 82.5 80.7 84.2 99.8  87.3  74.5  69.9    NA
[4,]  98.3  93.4 91.1 109.7 94.3 81.4 70.5 75.1 90.0  91.0  71.2  84.2    NA
[5,]  86.4  71.9 84.4 103.0 90.0 66.5 87.8 92.0 83.1  80.1  92.4  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/rcomp/tmp/1vwu91225746312.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/20nck1225746312.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/3mie81225746312.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/4r35o1225746312.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]
[1,]  72.4  68.00  69.90  70.50  71.90
[2,]  80.8  77.45  77.90  78.25  81.60
[3,]  86.4  87.20  85.75  90.50  87.10
[4,]  94.1  94.50  96.40  93.85  91.35
[5,] 109.2 104.10 108.20 109.70 103.00

$n
[1] 13 12 12 12 12

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]
[1,] 80.57177 79.42338 77.31203 83.38474 82.65296
[2,] 92.22823 94.97662 94.18797 97.61526 91.54704

$out
[1] 66.5

$group
[1] 5

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

Warning message:
In bxp(list(stats = c(72.4, 80.8, 86.4, 94.1, 109.2, 68, 77.45,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5b4cu1225746312.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] [,8] [,9] [,10] [,11] [,12] [,13]
[1,]  86.4  71.9 91.1  75.1 68.0 66.5 70.5 75.1 73.1  72.4  71.2  81.5 100.3
[2,]  88.6  80.6 91.1  86.4 82.1 76.1 80.7 84.2 80.8  78.8  73.6  81.5 100.3
[3,]  94.3  93.4 94.1  88.0 90.0 81.4 87.8 89.5 83.1  80.1  74.5  84.2 100.3
[4,]  98.3 104.1 94.9 103.0 94.3 82.5 94.1 92.0 90.0  87.3  86.4  85.3 100.3
[5,] 109.2 108.2 96.4 109.7 96.4 88.0 97.2 99.6 99.8  91.0  92.4  90.7 100.3

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

$conf
        [,1]      [,2]     [,3]     [,4]     [,5]     [,6]    [,7]     [,8]
[1,]  87.446  76.79496 91.41493 76.27048 81.37951 76.87778 78.3316 83.98854
[2,] 101.154 110.00504 96.78507 99.72952 98.62049 85.92222 97.2684 95.01146
        [,9]    [,10]    [,11]    [,12] [,13]
[1,] 76.5993 74.09392 65.45555 81.51493 100.3
[2,] 89.6007 86.10608 83.54445 86.88507 100.3

$out
[1] 84.4 69.9

$group
[1]  3 12

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

Warning message:
In bxp(list(stats = c(86.4, 88.6, 94.3, 98.3, 109.2, 71.9, 80.6,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6wlwa1225746312.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,] 85.69167 85.75 86.2125
[2,] 86.41667 86.40 86.6875
[3,] 87.36154 87.10 86.7250
[4,] 87.44167 87.20 87.4500
[5,] 87.51667 87.20 87.8500

$n
[1] 5 5 5

$conf
         [,1]     [,2]     [,3]
[1,] 86.63728 86.53472 86.18622
[2,] 88.08580 87.66528 87.26378

$out
[1] 90.5

$group
[1] 2

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

Warning message:
In bxp(list(stats = c(85.6916666666667, 86.4166666666667, 87.3615384615385,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1vwu91225746312.ps tmp/1vwu91225746312.png")
> system("convert tmp/20nck1225746312.ps tmp/20nck1225746312.png")
> system("convert tmp/3mie81225746312.ps tmp/3mie81225746312.png")
> system("convert tmp/4r35o1225746312.ps tmp/4r35o1225746312.png")
> system("convert tmp/5b4cu1225746312.ps tmp/5b4cu1225746312.png")
> system("convert tmp/6wlwa1225746312.ps tmp/6wlwa1225746312.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.284   0.823   1.700