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(96.8,91.2,97.1,104.9,110.9,104.8,94.1,95.8,99.3,101.1,104.0,99.0,105.4,107.1,110.7,117.1,118.7,126.5,127.5,134.6,131.8,135.9,142.7,141.7,153.4,145.0,137.7,148.3,152.2,169.4,168.6,161.1,174.1,179.0,190.6,190.0,181.6,174.8,180.5,196.8,193.8,197.0,216.3,221.4,217.9,229.7,227.4,204.2,196.6,198.8,207.5,190.7,201.6,210.5,223.5,223.8,231.2,244.0,234.7,250.2)
> par1 = '60'
> #'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] 60
> (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
> arr
       [,1] [,2]
 [1,]  96.8   NA
 [2,]  91.2   NA
 [3,]  97.1   NA
 [4,] 104.9   NA
 [5,] 110.9   NA
 [6,] 104.8   NA
 [7,]  94.1   NA
 [8,]  95.8   NA
 [9,]  99.3   NA
[10,] 101.1   NA
[11,] 104.0   NA
[12,]  99.0   NA
[13,] 105.4   NA
[14,] 107.1   NA
[15,] 110.7   NA
[16,] 117.1   NA
[17,] 118.7   NA
[18,] 126.5   NA
[19,] 127.5   NA
[20,] 134.6   NA
[21,] 131.8   NA
[22,] 135.9   NA
[23,] 142.7   NA
[24,] 141.7   NA
[25,] 153.4   NA
[26,] 145.0   NA
[27,] 137.7   NA
[28,] 148.3   NA
[29,] 152.2   NA
[30,] 169.4   NA
[31,] 168.6   NA
[32,] 161.1   NA
[33,] 174.1   NA
[34,] 179.0   NA
[35,] 190.6   NA
[36,] 190.0   NA
[37,] 181.6   NA
[38,] 174.8   NA
[39,] 180.5   NA
[40,] 196.8   NA
[41,] 193.8   NA
[42,] 197.0   NA
[43,] 216.3   NA
[44,] 221.4   NA
[45,] 217.9   NA
[46,] 229.7   NA
[47,] 227.4   NA
[48,] 204.2   NA
[49,] 196.6   NA
[50,] 198.8   NA
[51,] 207.5   NA
[52,] 190.7   NA
[53,] 201.6   NA
[54,] 210.5   NA
[55,] 223.5   NA
[56,] 223.8   NA
[57,] 231.2   NA
[58,] 244.0   NA
[59,] 234.7   NA
[60,] 250.2   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/freestat/rcomp/tmp/1mpci1225098697.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/freestat/rcomp/tmp/29j1w1225098697.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/freestat/rcomp/tmp/3eajx1225098698.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/freestat/rcomp/tmp/4ayzi1225098698.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,] 96.8 91.2 97.1 104.9 110.9 104.8 94.1 95.8 99.3 101.1   104    99 105.4
[2,] 96.8 91.2 97.1 104.9 110.9 104.8 94.1 95.8 99.3 101.1   104    99 105.4
[3,] 96.8 91.2 97.1 104.9 110.9 104.8 94.1 95.8 99.3 101.1   104    99 105.4
[4,] 96.8 91.2 97.1 104.9 110.9 104.8 94.1 95.8 99.3 101.1   104    99 105.4
[5,] 96.8 91.2 97.1 104.9 110.9 104.8 94.1 95.8 99.3 101.1   104    99 105.4
     [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
[1,] 107.1 110.7 117.1 118.7 126.5 127.5 134.6 131.8 135.9 142.7 141.7 153.4
[2,] 107.1 110.7 117.1 118.7 126.5 127.5 134.6 131.8 135.9 142.7 141.7 153.4
[3,] 107.1 110.7 117.1 118.7 126.5 127.5 134.6 131.8 135.9 142.7 141.7 153.4
[4,] 107.1 110.7 117.1 118.7 126.5 127.5 134.6 131.8 135.9 142.7 141.7 153.4
[5,] 107.1 110.7 117.1 118.7 126.5 127.5 134.6 131.8 135.9 142.7 141.7 153.4
     [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37]
[1,]   145 137.7 148.3 152.2 169.4 168.6 161.1 174.1   179 190.6   190 181.6
[2,]   145 137.7 148.3 152.2 169.4 168.6 161.1 174.1   179 190.6   190 181.6
[3,]   145 137.7 148.3 152.2 169.4 168.6 161.1 174.1   179 190.6   190 181.6
[4,]   145 137.7 148.3 152.2 169.4 168.6 161.1 174.1   179 190.6   190 181.6
[5,]   145 137.7 148.3 152.2 169.4 168.6 161.1 174.1   179 190.6   190 181.6
     [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49]
[1,] 174.8 180.5 196.8 193.8   197 216.3 221.4 217.9 229.7 227.4 204.2 196.6
[2,] 174.8 180.5 196.8 193.8   197 216.3 221.4 217.9 229.7 227.4 204.2 196.6
[3,] 174.8 180.5 196.8 193.8   197 216.3 221.4 217.9 229.7 227.4 204.2 196.6
[4,] 174.8 180.5 196.8 193.8   197 216.3 221.4 217.9 229.7 227.4 204.2 196.6
[5,] 174.8 180.5 196.8 193.8   197 216.3 221.4 217.9 229.7 227.4 204.2 196.6
     [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60]
[1,] 198.8 207.5 190.7 201.6 210.5 223.5 223.8 231.2   244 234.7 250.2
[2,] 198.8 207.5 190.7 201.6 210.5 223.5 223.8 231.2   244 234.7 250.2
[3,] 198.8 207.5 190.7 201.6 210.5 223.5 223.8 231.2   244 234.7 250.2
[4,] 198.8 207.5 190.7 201.6 210.5 223.5 223.8 231.2   244 234.7 250.2
[5,] 198.8 207.5 190.7 201.6 210.5 223.5 223.8 231.2   244 234.7 250.2

$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

$conf
     [,1] [,2] [,3]  [,4]  [,5]  [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
[1,] 96.8 91.2 97.1 104.9 110.9 104.8 94.1 95.8 99.3 101.1   104    99 105.4
[2,] 96.8 91.2 97.1 104.9 110.9 104.8 94.1 95.8 99.3 101.1   104    99 105.4
     [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
[1,] 107.1 110.7 117.1 118.7 126.5 127.5 134.6 131.8 135.9 142.7 141.7 153.4
[2,] 107.1 110.7 117.1 118.7 126.5 127.5 134.6 131.8 135.9 142.7 141.7 153.4
     [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37]
[1,]   145 137.7 148.3 152.2 169.4 168.6 161.1 174.1   179 190.6   190 181.6
[2,]   145 137.7 148.3 152.2 169.4 168.6 161.1 174.1   179 190.6   190 181.6
     [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49]
[1,] 174.8 180.5 196.8 193.8   197 216.3 221.4 217.9 229.7 227.4 204.2 196.6
[2,] 174.8 180.5 196.8 193.8   197 216.3 221.4 217.9 229.7 227.4 204.2 196.6
     [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60]
[1,] 198.8 207.5 190.7 201.6 210.5 223.5 223.8 231.2   244 234.7 250.2
[2,] 198.8 207.5 190.7 201.6 210.5 223.5 223.8 231.2   244 234.7 250.2

$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"

> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/5wx1b1225098698.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,]  91.20   NA
[2,] 114.00   NA
[3,] 164.85   NA
[4,] 200.20   NA
[5,] 250.20   NA

$n
[1] 60  0

$conf
         [,1] [,2]
[1,] 147.2672   NA
[2,] 182.4328   NA

$out
numeric(0)

$group
numeric(0)

$names
[1] "1" NA 

> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/6qsmx1225098698.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,]  91.20  91.20  91.20
[2,] 114.00 114.00 114.00
[3,] 164.85 164.85 164.85
[4,] 200.20 200.20 200.20
[5,] 250.20 250.20 250.20

$n
[1] 60 60 60

$conf
         [,1]     [,2]     [,3]
[1,] 147.2672 147.2672 147.2672
[2,] 182.4328 182.4328 182.4328

$out
numeric(0)

$group
numeric(0)

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

> dev.off()
null device 
          1 
> 
> system("convert tmp/1mpci1225098697.ps tmp/1mpci1225098697.png")
> system("convert tmp/29j1w1225098697.ps tmp/29j1w1225098697.png")
> system("convert tmp/3eajx1225098698.ps tmp/3eajx1225098698.png")
> system("convert tmp/4ayzi1225098698.ps tmp/4ayzi1225098698.png")
> system("convert tmp/5wx1b1225098698.ps tmp/5wx1b1225098698.png")
> system("convert tmp/6qsmx1225098698.ps tmp/6qsmx1225098698.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.029   1.256   2.223