R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(1.82,1.76,1.79,1.74,1.78,1.80,1.80,1.80,1.79,1.82,1.82,1.83,1.77,1.77,1.77,1.77,1.74,1.78,1.78,1.78,1.78,1.81,1.84,1.80,1.78,1.76,1.74,1.72,1.73,1.77,1.81,1.83,1.87,1.89,1.82,1.79,1.79,1.82,1.82,1.81,1.81,1.78,1.80,1.79,1.83,1.82,1.80,1.82,1.84,1.82,1.81,1.79,1.87,1.89,1.92,1.9,1.91,1.95,2.04,1.99,1.94,1.93,1.89,1.87,1.89,1.9,1.93,1.94,1.88,1.89,1.92,1.91,1.89,1.89,1.98,2.02,2.02,1.99,1.97,1.96,1.95,1.98,2.00,2.00)
> 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] 84
> (np <- floor(n / par1))
[1] 7
> 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] 7 7 7 7 7 7 7 7 7 7 7 7
> arr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
 [1,] 1.82 1.77 1.78 1.79 1.84 1.94 1.89   NA
 [2,] 1.76 1.77 1.76 1.82 1.82 1.93 1.89   NA
 [3,] 1.79 1.77 1.74 1.82 1.81 1.89 1.98   NA
 [4,] 1.74 1.77 1.72 1.81 1.79 1.87 2.02   NA
 [5,] 1.78 1.74 1.73 1.81 1.87 1.89 2.02   NA
 [6,] 1.80 1.78 1.77 1.78 1.89 1.90 1.99   NA
 [7,] 1.80 1.78 1.81 1.80 1.92 1.93 1.97   NA
 [8,] 1.80 1.78 1.83 1.79 1.90 1.94 1.96   NA
 [9,] 1.79 1.78 1.87 1.83 1.91 1.88 1.95   NA
[10,] 1.82 1.81 1.89 1.82 1.95 1.89 1.98   NA
[11,] 1.82 1.84 1.82 1.80 2.04 1.92 2.00   NA
[12,] 1.83 1.80 1.79 1.82 1.99 1.91 2.00   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/1bslw1231363122.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/280291231363122.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/3unsm1231363122.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/44b0t1231363122.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,] 1.770 1.760 1.740 1.720 1.73 1.770 1.780 1.780 1.780  1.81  1.80  1.79
[2,] 1.785 1.765 1.780 1.755 1.76 1.780 1.800 1.795 1.810  1.82  1.82  1.81
[3,] 1.820 1.820 1.810 1.790 1.81 1.800 1.810 1.830 1.870  1.89  1.84  1.83
[4,] 1.865 1.855 1.855 1.840 1.88 1.895 1.925 1.920 1.895  1.92  1.96  1.95
[5,] 1.940 1.930 1.890 1.870 2.02 1.990 1.970 1.960 1.950  1.98  2.04  2.00

$n
 [1] 7 7 7 7 7 7 7 7 7 7 7 7

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 1.772225 1.766253 1.765211 1.739239 1.738338 1.731324 1.735352 1.755352
[2,] 1.867775 1.873747 1.854789 1.840761 1.881662 1.868676 1.884648 1.904648
         [,9]    [,10]    [,11]    [,12]
[1,] 1.819239 1.830282 1.756394 1.746394
[2,] 1.920761 1.949718 1.923606 1.913606

$out
[1] 1.98 2.02

$group
[1] 3 4

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

Warning message:
In bxp(list(stats = c(1.77, 1.785, 1.82, 1.865, 1.94, 1.76, 1.765,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5w7tq1231363122.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] [,8]
[1,] 1.740 1.74 1.720 1.780 1.790 1.870 1.890   NA
[2,] 1.785 1.77 1.750 1.795 1.830 1.890 1.955   NA
[3,] 1.800 1.78 1.785 1.810 1.895 1.905 1.980   NA
[4,] 1.820 1.79 1.825 1.820 1.935 1.930 2.000   NA
[5,] 1.830 1.81 1.890 1.830 2.040 1.940 2.020   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7] [,8]
[1,] 1.784036 1.770878 1.750792 1.798597 1.847109 1.886756 1.959475   NA
[2,] 1.815964 1.789122 1.819208 1.821403 1.942891 1.923244 2.000525   NA

$out
[1] 1.84

$group
[1] 2

$names
[1] "1" "2" "3" "4" "5" "6" "7" NA 

Warning message:
In bxp(list(stats = c(1.74, 1.785, 1.8, 1.82, 1.83, 1.74, 1.77,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6s5et1231363122.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,] 0.06229729 0.17 0.0750
[2,] 0.06701025 0.17 0.0850
[3,] 0.07986342 0.20 0.1075
[4,] 0.09295001 0.24 0.1250
[5,] 0.10193369 0.30 0.1400

$n
[1] 12 12 12

$conf
           [,1]      [,2]       [,3]
[1,] 0.06803212 0.1680725 0.08925573
[2,] 0.09169471 0.2319275 0.12574427

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(0.0622972903178973, 0.0670102524313535, 0.0798634152398676,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1bslw1231363122.ps tmp/1bslw1231363122.png")
> system("convert tmp/280291231363122.ps tmp/280291231363122.png")
> system("convert tmp/3unsm1231363122.ps tmp/3unsm1231363122.png")
> system("convert tmp/44b0t1231363122.ps tmp/44b0t1231363122.png")
> system("convert tmp/5w7tq1231363122.ps tmp/5w7tq1231363122.png")
> system("convert tmp/6s5et1231363122.ps tmp/6s5et1231363122.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.048   0.838   2.020