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(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 = '61'
> #'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] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[39] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
> arr
       [,1] [,2]
 [1,] 109.2   NA
 [2,]  88.6   NA
 [3,]  94.3   NA
 [4,]  98.3   NA
 [5,]  86.4   NA
 [6,]  80.6   NA
 [7,] 104.1   NA
 [8,] 108.2   NA
 [9,]  93.4   NA
[10,]  71.9   NA
[11,]  94.1   NA
[12,]  94.9   NA
[13,]  96.4   NA
[14,]  91.1   NA
[15,]  84.4   NA
[16,]  86.4   NA
[17,]  88.0   NA
[18,]  75.1   NA
[19,] 109.7   NA
[20,] 103.0   NA
[21,]  82.1   NA
[22,]  68.0   NA
[23,]  96.4   NA
[24,]  94.3   NA
[25,]  90.0   NA
[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
[37,]  99.6   NA
[38,]  84.2   NA
[39,]  75.1   NA
[40,]  92.0   NA
[41,]  80.8   NA
[42,]  73.1   NA
[43,]  99.8   NA
[44,]  90.0   NA
[45,]  83.1   NA
[46,]  72.4   NA
[47,]  78.8   NA
[48,]  87.3   NA
[49,]  91.0   NA
[50,]  80.1   NA
[51,]  73.6   NA
[52,]  86.4   NA
[53,]  74.5   NA
[54,]  71.2   NA
[55,]  92.4   NA
[56,]  81.5   NA
[57,]  85.3   NA
[58,]  69.9   NA
[59,]  84.2   NA
[60,]  90.7   NA
[61,] 100.3   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/1g8i61193403084.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/25w2k1193403084.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/3zg7m1193403084.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/42e1y1193403084.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] [,13]
[1,] 109.2 88.6 94.3 98.3 86.4 80.6 104.1 108.2 93.4  71.9  94.1  94.9  96.4
[2,] 109.2 88.6 94.3 98.3 86.4 80.6 104.1 108.2 93.4  71.9  94.1  94.9  96.4
[3,] 109.2 88.6 94.3 98.3 86.4 80.6 104.1 108.2 93.4  71.9  94.1  94.9  96.4
[4,] 109.2 88.6 94.3 98.3 86.4 80.6 104.1 108.2 93.4  71.9  94.1  94.9  96.4
[5,] 109.2 88.6 94.3 98.3 86.4 80.6 104.1 108.2 93.4  71.9  94.1  94.9  96.4
     [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
[1,]  91.1  84.4  86.4    88  75.1 109.7   103  82.1    68  96.4  94.3    90
[2,]  91.1  84.4  86.4    88  75.1 109.7   103  82.1    68  96.4  94.3    90
[3,]  91.1  84.4  86.4    88  75.1 109.7   103  82.1    68  96.4  94.3    90
[4,]  91.1  84.4  86.4    88  75.1 109.7   103  82.1    68  96.4  94.3    90
[5,]  91.1  84.4  86.4    88  75.1 109.7   103  82.1    68  96.4  94.3    90
     [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37]
[1,]    88  76.1  82.5  81.4  66.5  97.2  94.1  80.7  70.5  87.8  89.5  99.6
[2,]    88  76.1  82.5  81.4  66.5  97.2  94.1  80.7  70.5  87.8  89.5  99.6
[3,]    88  76.1  82.5  81.4  66.5  97.2  94.1  80.7  70.5  87.8  89.5  99.6
[4,]    88  76.1  82.5  81.4  66.5  97.2  94.1  80.7  70.5  87.8  89.5  99.6
[5,]    88  76.1  82.5  81.4  66.5  97.2  94.1  80.7  70.5  87.8  89.5  99.6
     [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49]
[1,]  84.2  75.1    92  80.8  73.1  99.8    90  83.1  72.4  78.8  87.3    91
[2,]  84.2  75.1    92  80.8  73.1  99.8    90  83.1  72.4  78.8  87.3    91
[3,]  84.2  75.1    92  80.8  73.1  99.8    90  83.1  72.4  78.8  87.3    91
[4,]  84.2  75.1    92  80.8  73.1  99.8    90  83.1  72.4  78.8  87.3    91
[5,]  84.2  75.1    92  80.8  73.1  99.8    90  83.1  72.4  78.8  87.3    91
     [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61]
[1,]  80.1  73.6  86.4  74.5  71.2  92.4  81.5  85.3  69.9  84.2  90.7 100.3
[2,]  80.1  73.6  86.4  74.5  71.2  92.4  81.5  85.3  69.9  84.2  90.7 100.3
[3,]  80.1  73.6  86.4  74.5  71.2  92.4  81.5  85.3  69.9  84.2  90.7 100.3
[4,]  80.1  73.6  86.4  74.5  71.2  92.4  81.5  85.3  69.9  84.2  90.7 100.3
[5,]  80.1  73.6  86.4  74.5  71.2  92.4  81.5  85.3  69.9  84.2  90.7 100.3

$n
 [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[39] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

$conf
      [,1] [,2] [,3] [,4] [,5] [,6]  [,7]  [,8] [,9] [,10] [,11] [,12] [,13]
[1,] 109.2 88.6 94.3 98.3 86.4 80.6 104.1 108.2 93.4  71.9  94.1  94.9  96.4
[2,] 109.2 88.6 94.3 98.3 86.4 80.6 104.1 108.2 93.4  71.9  94.1  94.9  96.4
     [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
[1,]  91.1  84.4  86.4    88  75.1 109.7   103  82.1    68  96.4  94.3    90
[2,]  91.1  84.4  86.4    88  75.1 109.7   103  82.1    68  96.4  94.3    90
     [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37]
[1,]    88  76.1  82.5  81.4  66.5  97.2  94.1  80.7  70.5  87.8  89.5  99.6
[2,]    88  76.1  82.5  81.4  66.5  97.2  94.1  80.7  70.5  87.8  89.5  99.6
     [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49]
[1,]  84.2  75.1    92  80.8  73.1  99.8    90  83.1  72.4  78.8  87.3    91
[2,]  84.2  75.1    92  80.8  73.1  99.8    90  83.1  72.4  78.8  87.3    91
     [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61]
[1,]  80.1  73.6  86.4  74.5  71.2  92.4  81.5  85.3  69.9  84.2  90.7 100.3
[2,]  80.1  73.6  86.4  74.5  71.2  92.4  81.5  85.3  69.9  84.2  90.7 100.3

$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" "37" "38" "39" "40" "41" "42" "43" "44" "45"
[46] "46" "47" "48" "49" "50" "51" "52" "53" "54" "55" "56" "57" "58" "59" "60"
[61] "61"

> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5i4351193403084.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,]  66.5   NA
[2,]  80.6   NA
[3,]  87.3   NA
[4,]  94.1   NA
[5,] 109.7   NA

$n
[1] 61  0

$conf
         [,1] [,2]
[1,] 84.56897   NA
[2,] 90.03103   NA

$out
numeric(0)

$group
numeric(0)

$names
[1] "1" NA 

> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/67znk1193403084.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,]  66.5  66.5  66.5
[2,]  80.6  80.6  80.6
[3,]  87.3  87.3  87.3
[4,]  94.1  94.1  94.1
[5,] 109.7 109.7 109.7

$n
[1] 61 61 61

$conf
         [,1]     [,2]     [,3]
[1,] 84.56897 84.56897 84.56897
[2,] 90.03103 90.03103 90.03103

$out
numeric(0)

$group
numeric(0)

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

> dev.off()
null device 
          1 
> 
> system("convert tmp/1g8i61193403084.ps tmp/1g8i61193403084.png")
> system("convert tmp/25w2k1193403084.ps tmp/25w2k1193403084.png")
> system("convert tmp/3zg7m1193403084.ps tmp/3zg7m1193403084.png")
> system("convert tmp/42e1y1193403084.ps tmp/42e1y1193403084.png")
> system("convert tmp/5i4351193403084.ps tmp/5i4351193403084.png")
> system("convert tmp/67znk1193403084.ps tmp/67znk1193403084.png")
> 
> 
> proc.time()
   user  system elapsed 
  4.792   2.672   5.448