R version 2.7.0 (2008-04-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(72.50,59.40,85.70,88.20,62.80,87.00,79.20,112.00,79.20,132.10,40.10,69.00,59.40,73.80,57.40,81.10,46.60,41.40,71.20,67.90,72.00,145.50,39.70,51.90,73.70,70.90,60.80,61.00,54.50,39.10,66.60,58.50,59.80,80.90,37.30,44.60,48.70,54.00,49.50,61.60,35.00,35.70,51.30,49.00,41.50,72.50,42.10,44.10,45.10,50.30,40.90,47.20,36.90,40.90,38.30,46.30,28.40,78.40,36.80,50.70,42.80)
> 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,]  72.5  59.4 73.7 48.7 45.1 42.8
 [2,]  59.4  73.8 70.9 54.0 50.3   NA
 [3,]  85.7  57.4 60.8 49.5 40.9   NA
 [4,]  88.2  81.1 61.0 61.6 47.2   NA
 [5,]  62.8  46.6 54.5 35.0 36.9   NA
 [6,]  87.0  41.4 39.1 35.7 40.9   NA
 [7,]  79.2  71.2 66.6 51.3 38.3   NA
 [8,] 112.0  67.9 58.5 49.0 46.3   NA
 [9,]  79.2  72.0 59.8 41.5 28.4   NA
[10,] 132.1 145.5 80.9 72.5 78.4   NA
[11,]  40.1  39.7 37.3 42.1 36.8   NA
[12,]  69.0  51.9 44.6 44.1 50.7   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/136451225564389.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/2937w1225564389.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/3iew61225564389.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/4k7mz1225564389.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,] 42.80 50.3 40.9 47.2 35.0 35.7 38.3 46.3 28.4  72.5  36.8  44.1
[2,] 45.10 54.0 49.5 61.0 36.9 39.1 51.3 49.0 41.5  78.4  37.3  44.6
[3,] 54.05 59.4 57.4 61.6 46.6 40.9 66.6 58.5 59.8  80.9  39.7  50.7
[4,] 72.50 70.9 60.8 81.1 54.5 41.4 71.2 67.9 72.0 132.1  40.1  51.9
[5,] 73.70 73.8 60.8 88.2 62.8 41.4 79.2 67.9 79.2 145.5  42.1  51.9

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

$conf
         [,1]    [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 36.37612 47.4585 49.41545 47.39739 34.16388 39.27483 52.53871 45.14531
[2,] 71.72388 71.3415 65.38455 75.80261 59.03612 42.52517 80.66129 71.85469
         [,9]     [,10]    [,11]    [,12]
[1,] 38.24878  42.95572 37.72153 45.54184
[2,] 81.35122 118.84428 41.67847 55.85816

$out
[1]  85.7  87.0 112.0  69.0

$group
[1]  3  6  8 12

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

Warning message:
In bxp(list(stats = c(42.8, 45.1, 54.05, 72.5, 73.7, 50.3, 54, 59.4,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5z35k1225564389.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,]  40.1 39.70 37.30 35.00 28.40 42.8
[2,]  65.9 49.25 49.55 41.80 37.60 42.8
[3,]  79.2 63.65 60.30 48.85 43.00 42.8
[4,]  87.6 72.90 68.75 52.65 48.75 42.8
[5,] 112.0 81.10 80.90 61.60 50.70 42.8

$n
[1] 12 12 12 12 12  1

$conf
         [,1]     [,2]     [,3]     [,4]     [,5] [,6]
[1,] 69.30248 52.86308 51.54275 43.90124 37.91441 42.8
[2,] 89.09752 74.43692 69.05725 53.79876 48.08559 42.8

$out
[1] 132.1 145.5  72.5  78.4

$group
[1] 1 2 4 5

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

Warning message:
In bxp(list(stats = c(40.1, 65.9, 79.2, 87.6, 112, 39.7, 49.25,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6u99b1225564389.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,] 39.20000 39.70 38.70000
[2,] 50.44000 48.65 46.97500
[3,] 57.94667 57.95 57.18125
[4,] 64.21000 60.70 61.85000
[5,] 67.82000 66.60 71.05000

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 51.66608 52.45391 50.39666
[2,] 64.22726 63.44609 63.96584

$out
[1] 101.88  80.90 105.25

$group
[1] 1 2 3

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

Warning message:
In bxp(list(stats = c(39.2, 50.44, 57.9466666666667, 64.21, 67.82,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/136451225564389.ps tmp/136451225564389.png")
> system("convert tmp/2937w1225564389.ps tmp/2937w1225564389.png")
> system("convert tmp/3iew61225564389.ps tmp/3iew61225564389.png")
> system("convert tmp/4k7mz1225564389.ps tmp/4k7mz1225564389.png")
> system("convert tmp/5z35k1225564389.ps tmp/5z35k1225564389.png")
> system("convert tmp/6u99b1225564389.ps tmp/6u99b1225564389.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.298   1.339   2.526