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(110.40,96.40,101.90,106.20,81.00,94.70,101.00,109.40,102.30,90.70,96.20,96.10,106.00,103.10,102.00,104.70,86.00,92.10,106.90,112.60,101.70,92.00,97.40,97.00,105.40,102.70,98.10,104.50,87.40,89.90,109.80,111.70,98.60,96.90,95.10,97.00,112.70,102.90,97.40,111.40,87.40,96.80,114.10,110.30,103.90,101.60,94.60,95.90,104.70,102.80,98.10,113.90,80.90,95.70,113.20,105.90,108.80,102.30,99.00,100.70,115.50)
> 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] 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,] 110.4 106.0 105.4 112.7 104.7 115.5
 [2,]  96.4 103.1 102.7 102.9 102.8    NA
 [3,] 101.9 102.0  98.1  97.4  98.1    NA
 [4,] 106.2 104.7 104.5 111.4 113.9    NA
 [5,]  81.0  86.0  87.4  87.4  80.9    NA
 [6,]  94.7  92.1  89.9  96.8  95.7    NA
 [7,] 101.0 106.9 109.8 114.1 113.2    NA
 [8,] 109.4 112.6 111.7 110.3 105.9    NA
 [9,] 102.3 101.7  98.6 103.9 108.8    NA
[10,]  90.7  92.0  96.9 101.6 102.3    NA
[11,]  96.2  97.4  95.1  94.6  99.0    NA
[12,]  96.1  97.0  97.0  95.9 100.7    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/13rwq1193401386.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/2o8qv1193401386.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/3hrlf1193401386.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/4hf2r1193401386.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,] 104.7 102.7  97.4 104.5 80.9 89.9 101.0 109.4  98.6  90.7  94.6  95.9
[2,] 105.4 102.7  98.1 104.7 81.0 92.1 106.9 109.4 101.7  92.0  95.1  96.1
[3,] 108.2 102.8  98.1 106.2 86.0 94.7 109.8 110.3 102.3  96.9  96.2  97.0
[4,] 112.7 102.9 101.9 111.4 87.4 95.7 113.2 111.7 103.9 101.6  97.4  97.0
[5,] 115.5 103.1 102.0 113.9 87.4 96.8 114.1 112.6 103.9 102.3  99.0  97.0

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

$conf
         [,1]     [,2]      [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 103.4913 102.6587  95.41493 101.4658 81.47778 92.15625 105.3484 108.6748
[2,] 112.9087 102.9413 100.78507 110.9342 90.52222 97.24375 114.2516 111.9252
         [,9]     [,10]    [,11]    [,12]
[1,] 100.7455  90.11666 94.57483 96.36406
[2,] 103.8545 103.68334 97.82517 97.63594

$out
[1]  96.4 105.9 108.8 100.7

$group
[1]  2  8  9 12

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

Warning message:
In bxp(list(stats = c(104.7, 105.4, 108.2, 112.7, 115.5, 102.7,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5x4zi1193401386.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,]  90.70  86.00  87.40  87.40  95.70 115.5
[2,]  95.40  94.55  96.00  96.35  98.55 115.5
[3,]  98.70 101.85  98.35 102.25 102.55 115.5
[4,] 104.25 105.35 104.95 110.85 107.35 115.5
[5,] 110.40 112.60 111.70 114.10 113.90 115.5

$n
[1] 12 12 12 12 12  1

$conf
          [,1]      [,2]      [,3]      [,4]      [,5]  [,6]
[1,]  94.66346  96.92405  94.26784  95.63645  98.53626 115.5
[2,] 102.73654 106.77595 102.43216 108.86355 106.56374 115.5

$out
[1] 81.0 80.9

$group
[1] 1 5

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

Warning message:
In bxp(list(stats = c(90.7, 95.4, 98.7, 104.25, 110.4, 86, 94.55,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6ft0p1193401386.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,]  84.54  86.00  84.2000
[2,]  96.58  96.55  96.4000
[3,] 100.54 100.20 101.4000
[4,] 108.57 107.20 108.4438
[5,] 109.98 110.30 110.5500

$n
[1] 12 12 12

$conf
          [,1]      [,2]      [,3]
[1,]  95.07128  95.34246  95.90676
[2,] 106.00872 105.05754 106.89324

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(84.54, 96.58, 100.54, 108.57, 109.98, 86,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/13rwq1193401386.ps tmp/13rwq1193401386.png")
> system("convert tmp/2o8qv1193401386.ps tmp/2o8qv1193401386.png")
> system("convert tmp/3hrlf1193401386.ps tmp/3hrlf1193401386.png")
> system("convert tmp/4hf2r1193401386.ps tmp/4hf2r1193401386.png")
> system("convert tmp/5x4zi1193401386.ps tmp/5x4zi1193401386.png")
> system("convert tmp/6ft0p1193401386.ps tmp/6ft0p1193401386.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.413   1.359   2.610