R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(109.7,99.1,86.7,111.4,78.4,76.7,114.2,99.7,94.2,173.5,83.1,88.9,132.0,122.1,105.1,133.7,63.6,112.7,120.5,112.0,126.2,209.2,91.0,116.7,137.6,108.1,136.6,152.3,114.3,120.7,131.8,129.4,187.5,189.5,109.2,158.1,176.2,125.5,155.0,170.3,99.4,139.2,169.6,136.1,168.2,318.6,154.1,161.4,183.4,166.3,203,174.6,124.3,154.4,170.5,169.4,171.1,289.2,145.6,134.4,168.2)
> par1 = '12'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 61
> (np <- floor(n / par1))
[1] 5
> arr <- array(NA,dim=c(par1,np+1))
> darr <- array(NA,dim=c(par1,np+1))
> ari <- array(0,dim=par1)
> dx <- diff(x)
> j <- 0
> for (i in 1:n)
+ {
+ j = j + 1
+ ari[j] = ari[j] + 1
+ arr[j,ari[j]] <- x[i]
+ darr[j,ari[j]] <- dx[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,] 109.7 132.0 137.6 176.2 183.4 168.2
 [2,]  99.1 122.1 108.1 125.5 166.3    NA
 [3,]  86.7 105.1 136.6 155.0 203.0    NA
 [4,] 111.4 133.7 152.3 170.3 174.6    NA
 [5,]  78.4  63.6 114.3  99.4 124.3    NA
 [6,]  76.7 112.7 120.7 139.2 154.4    NA
 [7,] 114.2 120.5 131.8 169.6 170.5    NA
 [8,]  99.7 112.0 129.4 136.1 169.4    NA
 [9,]  94.2 126.2 187.5 168.2 171.1    NA
[10,] 173.5 209.2 189.5 318.6 289.2    NA
[11,]  83.1  91.0 109.2 154.1 145.6    NA
[12,]  88.9 116.7 158.1 161.4 134.4    NA
> darr
       [,1]   [,2]  [,3]   [,4]   [,5] [,6]
 [1,] -10.6   -9.9 -29.5  -50.7  -17.1   NA
 [2,] -12.4  -17.0  28.5   29.5   36.7   NA
 [3,]  24.7   28.6  15.7   15.3  -28.4   NA
 [4,] -33.0  -70.1 -38.0  -70.9  -50.3   NA
 [5,]  -1.7   49.1   6.4   39.8   30.1   NA
 [6,]  37.5    7.8  11.1   30.4   16.1   NA
 [7,] -14.5   -8.5  -2.4  -33.5   -1.1   NA
 [8,]  -5.5   14.2  58.1   32.1    1.7   NA
 [9,]  79.3   83.0   2.0  150.4  118.1   NA
[10,] -90.4 -118.2 -80.3 -164.5 -143.6   NA
[11,]   5.8   25.7  48.9    7.3  -11.2   NA
[12,]  43.1   20.9  18.1   22.0   33.8   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/11q151257454638.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/20uck1257454638.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/3djas1257454638.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/4v7wv1257454638.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,] 109.7  99.1  86.7 111.4  63.6  76.7 114.2  99.7  94.2 173.5  83.1  88.9
[2,] 132.0 108.1 105.1 133.7  78.4 112.7 120.5 112.0 126.2 189.5  91.0 116.7
[3,] 152.9 122.1 136.6 152.3  99.4 120.7 131.8 129.4 168.2 209.2 109.2 134.4
[4,] 176.2 125.5 155.0 170.3 114.3 139.2 169.6 136.1 171.1 289.2 145.6 158.1
[5,] 183.4 125.5 203.0 174.6 124.3 154.4 170.5 169.4 187.5 318.6 154.1 161.4

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

$conf
         [,1]     [,2]     [,3]     [,4]      [,5]     [,6]      [,7]    [,8]
[1,] 124.3896 109.8052 101.3408 126.4385  74.03315 101.9752  97.10606 112.371
[2,] 181.4104 134.3948 171.8592 178.1615 124.76685 139.4248 166.49394 146.429
         [,9]    [,10]     [,11]    [,12]
[1,] 136.4738 138.7522  70.61978 105.1469
[2,] 199.9262 279.6478 147.78022 163.6531

$out
[1] 166.3

$group
[1] 2

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

Warning message:
In bxp(list(stats = c(109.7, 132, 152.9, 176.2, 183.4, 99.1, 108.1,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5830c1257454638.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> z <- data.frame(t(darr))
> names(z) <- c(1:par1)
> (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced Periodic Subseries'))
$stats
      [,1]  [,2] [,3]  [,4] [,5] [,6]  [,7] [,8]  [,9]  [,10] [,11] [,12]
[1,] -50.7 -17.0 15.3 -70.9 -1.7  7.8 -14.5 -5.5  79.3 -164.5 -11.2  18.1
[2,] -29.5 -12.4 15.3 -70.1  6.4 11.1 -14.5  1.7  79.3 -143.6   5.8  20.9
[3,] -17.1  28.5 15.7 -50.3 30.1 16.1  -8.5 14.2  83.0 -118.2   7.3  22.0
[4,] -10.6  29.5 24.7 -38.0 39.8 30.4  -2.4 32.1 118.1  -90.4  25.7  33.8
[5,]  -9.9  36.7 28.6 -33.0 49.1 37.5  -1.1 58.1 150.4  -80.3  48.9  43.1

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

$conf
           [,1]      [,2]      [,3]      [,4]      [,5]      [,6]         [,7]
[1,] -30.454692 -1.106434  9.057984 -72.98178  6.499644  2.462669 -17.04982952
[2,]  -3.745308 58.106434 22.342016 -27.61822 53.700356 29.737331   0.04982952
          [,8]      [,9]      [,10]    [,11]    [,12]
[1,] -7.280563  55.58402 -155.79099 -6.76129 12.88489
[2,] 35.680563 110.41598  -80.60901 21.36129 31.11511

$out
[1] -28.4 -33.5   2.0

$group
[1] 3 7 9

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

Warning message:
In bxp(list(stats = c(-50.7, -29.5, -17.1, -10.6, -9.9, -17, -12.4,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6zeog1257454638.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,]  76.70  91.00 108.1  99.40 124.30 168.2
[2,]  84.90 108.55 117.5 137.65 150.00 168.2
[3,]  96.65 118.60 134.2 158.20 169.95 168.2
[4,] 110.55 129.10 155.2 169.95 179.00 168.2
[5,] 114.20 133.70 189.5 176.20 203.00 168.2

$n
[1] 12 12 12 12 12  1

$conf
          [,1]    [,2]     [,3]     [,4]     [,5]  [,6]
[1,]  84.95086 109.227 117.0048 143.4678 156.7229 168.2
[2,] 108.34914 127.973 151.3952 172.9322 183.1771 168.2

$out
[1] 173.5  63.6 209.2 318.6 289.2

$group
[1] 1 2 2 4 5

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

Warning message:
In bxp(list(stats = c(76.7, 84.9, 96.65, 110.55, 114.2, 91, 108.55,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7xnbz1257454638.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,]  96.0000  99.4  96.350
[2,] 122.4800 121.4 121.175
[3,] 134.5900 133.1 133.725
[4,] 148.9500 152.6 150.325
[5,] 151.1833 168.2 153.800

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 122.5169 118.8695 120.4295
[2,] 146.6631 147.3305 147.0205

$out
[1] 236.00 209.20 239.35

$group
[1] 1 2 3

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

Warning message:
In bxp(list(stats = c(96, 122.48, 134.59, 148.95, 151.183333333333,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/11q151257454638.ps tmp/11q151257454638.png")
> system("convert tmp/20uck1257454638.ps tmp/20uck1257454638.png")
> system("convert tmp/3djas1257454638.ps tmp/3djas1257454638.png")
> system("convert tmp/4v7wv1257454638.ps tmp/4v7wv1257454638.png")
> system("convert tmp/5830c1257454638.ps tmp/5830c1257454638.png")
> system("convert tmp/6zeog1257454638.ps tmp/6zeog1257454638.png")
> system("convert tmp/7xnbz1257454638.ps tmp/7xnbz1257454638.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.243   0.968   6.394