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(18.33,18.22,18.21,18.06,18.26,18.21,18.05,18.25,18.27,18.28,18.13,18.01,18.02,17.97,18.06,18.08,18.23,18.06,18.23,18.17,18.27,18.33,18.18,18.29,18.33,18.31,18.44,18.63,18.37,18.59,18.72,18.75,18.87,18.83,18.89,18.78,19.27,19.19,19.43,19.36,19.39,19.07,19.31,19.19,19.06,19.05,19.49,19.25,19.76,20.35,19.61,19.33,18.95,18.97,19.28,19.41,18.99,19.37,19.63,19.53,19.86,20.13,19.47,19.49,18.95,19.33,19.65,19.44,19.73,18.89,19.56,19.56)
> 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] 72
> (np <- floor(n / par1))
[1] 6
> 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 6 6 6 6 6 6 6 6 6 6 6
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6] [,7]
 [1,] 18.33 18.02 18.33 19.27 19.76 19.86   NA
 [2,] 18.22 17.97 18.31 19.19 20.35 20.13   NA
 [3,] 18.21 18.06 18.44 19.43 19.61 19.47   NA
 [4,] 18.06 18.08 18.63 19.36 19.33 19.49   NA
 [5,] 18.26 18.23 18.37 19.39 18.95 18.95   NA
 [6,] 18.21 18.06 18.59 19.07 18.97 19.33   NA
 [7,] 18.05 18.23 18.72 19.31 19.28 19.65   NA
 [8,] 18.25 18.17 18.75 19.19 19.41 19.44   NA
 [9,] 18.27 18.27 18.87 19.06 18.99 19.73   NA
[10,] 18.28 18.33 18.83 19.05 19.37 18.89   NA
[11,] 18.13 18.18 18.89 19.49 19.63 19.56   NA
[12,] 18.01 18.29 18.78 19.25 19.53 19.56   NA
> arr.sd <- array(NA,dim=par1)
> arr.range <- array(NA,dim=par1)
> arr.iqr <- array(NA,dim=par1)
> for (j in 1:par1)
+ {
+ arr.sd[j] <- sqrt(var(arr[j,],na.rm=TRUE))
+ arr.range[j] <- max(arr[j,],na.rm=TRUE) - min(arr[j,],na.rm=TRUE)
+ arr.iqr[j] <- quantile(arr[j,],0.75,na.rm=TRUE) - quantile(arr[j,],0.25,na.rm=TRUE)
+ }
> overall.sd <- sqrt(var(x))
> overall.range <- max(x) - min(x)
> overall.iqr <- quantile(x,0.75) - quantile(x,0.25)
> postscript(file="/var/www/html/rcomp/tmp/1goh81231604269.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.sd,type='b',ylab='S.D.',main='Standard Deviation Plot',xlab='Periodic Index')
> mtext(paste('# blocks = ',np))
> abline(overall.sd,0)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2zjo41231604269.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.range,type='b',ylab='range',main='Range Plot',xlab='Periodic Index')
> mtext(paste('# blocks = ',np))
> abline(overall.range,0)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3e0y31231604269.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.iqr,type='b',ylab='IQR',main='Interquartile Range Plot',xlab='Periodic Index')
> mtext(paste('# blocks = ',np))
> abline(overall.iqr,0)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4msg81231604269.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,] 18.02 17.97 18.060 18.06 18.23 18.06 18.05 18.17 18.27 18.28 18.13 18.010
[2,] 18.33 18.22 18.210 18.08 18.26 18.21 18.23 18.25 18.27 18.33 18.18 18.290
[3,] 18.80 18.75 18.935 18.98 18.66 18.78 19.00 18.97 18.93 18.86 19.19 19.015
[4,] 19.76 20.13 19.470 19.36 18.95 19.07 19.31 19.41 19.06 19.05 19.56 19.530
[5,] 19.86 20.35 19.610 19.49 19.39 19.33 19.65 19.44 19.73 19.37 19.63 19.560

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 17.87760 17.51799 18.12226 18.15436 18.21493 18.22527 18.30337 18.22176
[2,] 19.72240 19.98201 19.74774 19.80564 19.10507 19.33473 19.69663 19.71824
         [,9]    [,10]    [,11]    [,12]
[1,] 18.42042 18.39558 18.29986 18.21516
[2,] 19.43958 19.32442 20.08014 19.81484

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(18.02, 18.33, 18.8, 19.76, 19.86, 17.97, 18.22,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5vtzb1231604269.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] [,7]
[1,] 18.010 17.970 18.310 19.050 18.950 18.950   NA
[2,] 18.095 18.060 18.405 19.130 19.135 19.385   NA
[3,] 18.215 18.175 18.675 19.260 19.390 19.525   NA
[4,] 18.265 18.250 18.805 19.375 19.620 19.690   NA
[5,] 18.330 18.330 18.890 19.490 19.760 20.130   NA

$n
[1] 12 12 12 12 12 12  0

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]
[1,] 18.13746 18.08834 18.49256 19.14825 19.16879 19.38589   NA
[2,] 18.29254 18.26166 18.85744 19.37175 19.61121 19.66411   NA

$out
[1] 20.35 18.89

$group
[1] 5 6

$names
[1] "1" "2" "3" "4" "5" "6" NA 

Warning message:
In bxp(list(stats = c(18.01, 18.095, 18.215, 18.265, 18.33, 17.97,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6hilc1231604269.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> z <- data.frame(cbind(arr.sd,arr.range,arr.iqr))
> names(z) <- list('S.D.','Range','IQR')
> (boxplot(z,notch=TRUE,col='grey',ylab='Overall Variability',main='Notched Box Plots'))
$stats
          [,1]  [,2]    [,3]
[1,] 0.4212561 1.090 0.55500
[2,] 0.5265964 1.270 0.70125
[3,] 0.6486802 1.480 1.01375
[4,] 0.6990566 1.575 1.18875
[5,] 0.8021824 1.840 1.65250

$n
[1] 12 12 12

$conf
          [,1]     [,2]     [,3]
[1,] 0.5700199 1.340887 0.791398
[2,] 0.7273404 1.619113 1.236102

$out
[1] 1.027237 2.380000

$group
[1] 1 2

$names
[1] "S.D."  "Range" "IQR"  

Warning message:
In bxp(list(stats = c(0.421256058314497, 0.526596398559184, 0.648680187096734,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1goh81231604269.ps tmp/1goh81231604269.png")
> system("convert tmp/2zjo41231604269.ps tmp/2zjo41231604269.png")
> system("convert tmp/3e0y31231604269.ps tmp/3e0y31231604269.png")
> system("convert tmp/4msg81231604269.ps tmp/4msg81231604269.png")
> system("convert tmp/5vtzb1231604269.ps tmp/5vtzb1231604269.png")
> system("convert tmp/6hilc1231604269.ps tmp/6hilc1231604269.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.349   1.377   2.547