R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(97.3,101,113.2,101,105.7,113.9,86.4,96.5,103.3,114.9,105.8,94.2,98.4,99.4,108.8,112.6,104.4,112.2,81.1,97.1,112.6,113.8,107.8,103.2,103.3,101.2,107.7,110.4,101.9,115.9,89.9,88.6,117.2,123.9,100,103.6,94.1,98.7,119.5,112.7,104.4,124.7,89.1,97,121.6,118.8,114,111.5,97.2,102.5,113.4,109.8,104.9,126.1,80,96.8,117.2,112.3,117.3,111.1,102.2,104.3,122.9,107.6,121.3,131.5,89,104.4,128.9,135.9,133.3,121.3,120.5)
> 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] 73
> (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 6 6 6 6 6 6 6 6 6 6 6
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]  [,7]
 [1,]  97.3  98.4 103.3  94.1  97.2 102.2 120.5
 [2,] 101.0  99.4 101.2  98.7 102.5 104.3    NA
 [3,] 113.2 108.8 107.7 119.5 113.4 122.9    NA
 [4,] 101.0 112.6 110.4 112.7 109.8 107.6    NA
 [5,] 105.7 104.4 101.9 104.4 104.9 121.3    NA
 [6,] 113.9 112.2 115.9 124.7 126.1 131.5    NA
 [7,]  86.4  81.1  89.9  89.1  80.0  89.0    NA
 [8,]  96.5  97.1  88.6  97.0  96.8 104.4    NA
 [9,] 103.3 112.6 117.2 121.6 117.2 128.9    NA
[10,] 114.9 113.8 123.9 118.8 112.3 135.9    NA
[11,] 105.8 107.8 100.0 114.0 117.3 133.3    NA
[12,]  94.2 103.2 103.6 111.5 111.1 121.3    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/1tr7t1195548658.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/2c6np1195548658.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/3egk61195548658.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/4es5z1195548658.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,]  94.10  98.7 107.7 101.0 104.40 112.2 80.0 96.5 103.3 112.30 100.0  94.20
[2,]  97.25  99.4 108.8 107.6 104.40 113.9 81.1 96.5 112.6 113.80 105.8 103.20
[3,]  98.40 101.1 113.3 110.1 104.65 120.3 87.7 96.9 117.2 116.85 110.9 107.35
[4,] 102.75 102.5 119.5 112.6 105.70 126.1 89.1 97.1 121.6 123.90 117.3 111.50
[5,] 103.30 104.3 122.9 112.7 105.70 131.5 89.9 97.1 128.9 135.90 133.3 121.30

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

$conf
          [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,]  95.11549  99.1004 106.3982 106.8748 103.8115 112.4306 82.53974 96.51298
[2,] 101.68451 103.0996 120.2018 113.3252 105.4885 128.1694 92.86026 97.28702
         [,9]    [,10]    [,11]    [,12]
[1,] 111.3947 110.3352 103.4821 101.9962
[2,] 123.0053 123.3648 118.3179 112.7038

$out
[1] 120.5 101.9 121.3  88.6 104.4

$group
[1] 1 5 5 8 8

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

Warning message:
In bxp(list(stats = c(94.1, 97.25, 98.4, 102.75, 103.3, 98.7, 99.4,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5amyq1195548658.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,]  86.40  81.1  88.60  89.10  80.00  89.00 120.5
[2,]  96.90  98.9 100.60  97.85  99.85 104.35 120.5
[3,] 102.15 106.1 103.45 112.10 110.45 121.30 120.5
[4,] 109.50 112.4 113.15 119.15 115.30 130.20 120.5
[5,] 114.90 113.8 123.90 124.70 126.10 135.90 120.5

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

$conf
          [,1]      [,2]      [,3]     [,4]     [,5]     [,6]  [,7]
[1,]  96.40306  99.94256  97.72586 102.3849 103.4032 109.5096 120.5
[2,] 107.89694 112.25744 109.17414 121.8151 117.4968 133.0904 120.5

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(86.4, 96.9, 102.15, 109.5, 114.9, 81.1, 98.9,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6udhs1195548658.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,]  85.91667  87.700  85.7500
[2,] 101.52024  99.750 100.4938
[3,] 108.25000 108.725 108.7250
[4,] 115.52500 115.075 115.5312
[5,] 120.71667 120.300 120.0750

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 101.8623 101.7352 101.8663
[2,] 114.6377 115.7148 115.5837

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(85.9166666666667, 101.520238095238, 108.25,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1tr7t1195548658.ps tmp/1tr7t1195548658.png")
> system("convert tmp/2c6np1195548658.ps tmp/2c6np1195548658.png")
> system("convert tmp/3egk61195548658.ps tmp/3egk61195548658.png")
> system("convert tmp/4es5z1195548658.ps tmp/4es5z1195548658.png")
> system("convert tmp/5amyq1195548658.ps tmp/5amyq1195548658.png")
> system("convert tmp/6udhs1195548658.ps tmp/6udhs1195548658.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.309   0.844   1.622