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)
> par1 = '36'
> #'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] 1
> 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] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1
> arr
       [,1]  [,2]
 [1,] 109.2  99.6
 [2,]  88.6  84.2
 [3,]  94.3  75.1
 [4,]  98.3  92.0
 [5,]  86.4  80.8
 [6,]  80.6  73.1
 [7,] 104.1  99.8
 [8,] 108.2  90.0
 [9,]  93.4  83.1
[10,]  71.9  72.4
[11,]  94.1  78.8
[12,]  94.9  87.3
[13,]  96.4  91.0
[14,]  91.1  80.1
[15,]  84.4  73.6
[16,]  86.4  86.4
[17,]  88.0  74.5
[18,]  75.1  71.2
[19,] 109.7  92.4
[20,] 103.0  81.5
[21,]  82.1  85.3
[22,]  68.0  69.9
[23,]  96.4  84.2
[24,]  94.3  90.7
[25,]  90.0 100.3
[26,]  88.0    NA
[27,]  76.1    NA
[28,]  82.5    NA
[29,]  81.4    NA
[30,]  66.5    NA
[31,]  97.2    NA
[32,]  94.1    NA
[33,]  80.7    NA
[34,]  70.5    NA
[35,]  87.8    NA
[36,]  89.5    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/12qvd1225286346.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/2y7e11225286346.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/3omzk1225286346.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/476x11225286346.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,]  99.6 84.2 75.1 92.00 80.8 73.10  99.80  90.0 83.10 71.90 78.80  87.3
[2,]  99.6 84.2 75.1 92.00 80.8 73.10  99.80  90.0 83.10 71.90 78.80  87.3
[3,] 104.4 86.4 84.7 95.15 83.6 76.85 101.95  99.1 88.25 72.15 86.45  91.1
[4,] 109.2 88.6 94.3 98.30 86.4 80.60 104.10 108.2 93.40 72.40 94.10  94.9
[5,] 109.2 88.6 94.3 98.30 86.4 80.60 104.10 108.2 93.40 72.40 94.10  94.9
     [,13] [,14] [,15] [,16] [,17] [,18]  [,19]  [,20] [,21] [,22] [,23] [,24]
[1,]  91.0  80.1  73.6  86.4 74.50 71.20  92.40  81.50  82.1 68.00  84.2  90.7
[2,]  91.0  80.1  73.6  86.4 74.50 71.20  92.40  81.50  82.1 68.00  84.2  90.7
[3,]  93.7  85.6  79.0  86.4 81.25 73.15 101.05  92.25  83.7 68.95  90.3  92.5
[4,]  96.4  91.1  84.4  86.4 88.00 75.10 109.70 103.00  85.3 69.90  96.4  94.3
[5,]  96.4  91.1  84.4  86.4 88.00 75.10 109.70 103.00  85.3 69.90  96.4  94.3
      [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36]
[1,]  90.00    88  76.1  82.5  81.4  66.5  97.2  94.1  80.7  70.5  87.8  89.5
[2,]  90.00    88  76.1  82.5  81.4  66.5  97.2  94.1  80.7  70.5  87.8  89.5
[3,]  95.15    88  76.1  82.5  81.4  66.5  97.2  94.1  80.7  70.5  87.8  89.5
[4,] 100.30    88  76.1  82.5  81.4  66.5  97.2  94.1  80.7  70.5  87.8  89.5
[5,] 100.30    88  76.1  82.5  81.4  66.5  97.2  94.1  80.7  70.5  87.8  89.5

$n
 [1] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1

$conf
         [,1]    [,2]      [,3]      [,4]     [,5]     [,6]      [,7]      [,8]
[1,]  93.6746 81.4842  63.24921  88.11146 77.34352 68.47078  97.14592  78.76644
[2,] 115.1254 91.3158 106.15079 102.18854 89.85648 85.22922 106.75408 119.43356
         [,9]    [,10]    [,11]    [,12]    [,13]    [,14]    [,15] [,16]
[1,] 76.74254 71.59139  69.3564 82.60906 87.66696 73.31048 66.93393  86.4
[2,] 99.75746 72.70861 103.5436 99.59094 99.73304 97.88952 91.06607  86.4
        [,17]    [,18]     [,19]     [,20]    [,21]    [,22]     [,23]    [,24]
[1,] 66.16741 68.79281  81.72194  68.22958 80.12487 66.82727  76.66981 88.47798
[2,] 96.33259 77.50719 120.37806 116.27042 87.27513 71.07273 103.93019 96.52202
         [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35]
[1,]  83.64254    88  76.1  82.5  81.4  66.5  97.2  94.1  80.7  70.5  87.8
[2,] 106.65746    88  76.1  82.5  81.4  66.5  97.2  94.1  80.7  70.5  87.8
     [,36]
[1,]  89.5
[2,]  89.5

$out
numeric(0)

$group
numeric(0)

$names
 [1] "1"  "2"  "3"  "4"  "5"  "6"  "7"  "8"  "9"  "10" "11" "12" "13" "14" "15"
[16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30"
[31] "31" "32" "33" "34" "35" "36"

Warning message:
In bxp(list(stats = c(99.6, 99.6, 104.4, 109.2, 109.2, 84.2, 84.2,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/59fpe1225286346.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]
[1,]  66.50  69.9
[2,]  81.75  75.1
[3,]  89.05  84.2
[4,]  95.65  90.7
[5,] 109.70 100.3

$n
[1] 36 25

$conf
         [,1]    [,2]
[1,] 85.38967 79.2704
[2,] 92.71033 89.1296

$out
numeric(0)

$group
numeric(0)

$names
[1] "1" NA 

> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6z8rs1225286346.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,]  66.500  66.500  66.500
[2,]  80.975  80.975  80.975
[3,]  86.425  86.425  86.425
[4,]  93.100  93.100  93.100
[5,] 104.400 104.400 104.400

$n
[1] 36 36 36

$conf
         [,1]     [,2]     [,3]
[1,] 83.23208 83.23208 83.23208
[2,] 89.61792 89.61792 89.61792

$out
numeric(0)

$group
numeric(0)

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

> dev.off()
null device 
          1 
> 
> system("convert tmp/12qvd1225286346.ps tmp/12qvd1225286346.png")
> system("convert tmp/2y7e11225286346.ps tmp/2y7e11225286346.png")
> system("convert tmp/3omzk1225286346.ps tmp/3omzk1225286346.png")
> system("convert tmp/476x11225286346.ps tmp/476x11225286346.png")
> system("convert tmp/59fpe1225286346.ps tmp/59fpe1225286346.png")
> system("convert tmp/6z8rs1225286346.ps tmp/6z8rs1225286346.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.321   0.846   1.568