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(91.46,90.24,93.90,96.34,93.90,86.59,75.61,70.73,74.39,84.15,89.02,87.80,74.39,70.73,74.39,78.05,82.93,82.93,79.27,75.61,76.83,78.05,80.49,81.71,78.05,82.93,85.37,84.15,86.59,87.80,86.59,85.37,84.15,81.71,80.49,84.15,89.02,96.34,100.00,100.00,100.00,98.78,96.34,93.90,93.90,92.68,91.46,91.46,86.59,91.46,91.46,95.12,95.12,95.12,92.68,91.46,93.90,98.78,97.56,92.68,80.49,79.27,82.93,91.46,97.56,100.00,98.78,96.34,96.34,92.68,91.46,92.68,89.02,91.46,92.68,91.46,92.68,95.12,96.34,95.12,91.46,80.49,76.83,76.83,73.17,76.83,78.05,76.83,76.83,78.05,81.71,81.71,82.93,75.61,70.73,68.29,65.85,69.51,70.73,67.07,65.85,65.85,65.85,67.07,68.29,69.51,70.73,65.85,59.76,63.41,67.07,71.95,76.83,79.27,78.05,78.05,80.49,82.93,87.80)
> 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] 119
> (np <- floor(n / par1))
[1] 9
> 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] 10 10 10 10 10 10 10 10 10 10 10  9
> arr
       [,1]  [,2]  [,3]   [,4]  [,5]   [,6]  [,7]  [,8]  [,9] [,10]
 [1,] 91.46 74.39 78.05  89.02 86.59  80.49 89.02 73.17 65.85 59.76
 [2,] 90.24 70.73 82.93  96.34 91.46  79.27 91.46 76.83 69.51 63.41
 [3,] 93.90 74.39 85.37 100.00 91.46  82.93 92.68 78.05 70.73 67.07
 [4,] 96.34 78.05 84.15 100.00 95.12  91.46 91.46 76.83 67.07 71.95
 [5,] 93.90 82.93 86.59 100.00 95.12  97.56 92.68 76.83 65.85 76.83
 [6,] 86.59 82.93 87.80  98.78 95.12 100.00 95.12 78.05 65.85 79.27
 [7,] 75.61 79.27 86.59  96.34 92.68  98.78 96.34 81.71 65.85 78.05
 [8,] 70.73 75.61 85.37  93.90 91.46  96.34 95.12 81.71 67.07 78.05
 [9,] 74.39 76.83 84.15  93.90 93.90  96.34 91.46 82.93 68.29 80.49
[10,] 84.15 78.05 81.71  92.68 98.78  92.68 80.49 75.61 69.51 82.93
[11,] 89.02 80.49 80.49  91.46 97.56  91.46 76.83 70.73 70.73 87.80
[12,] 87.80 81.71 84.15  91.46 92.68  92.68 76.83 68.29 65.85    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/1k9qm1258138913.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/2256i1258138913.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/3sy9u1258138913.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/4ajz91258138913.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]
[1,] 59.76 63.41  67.07  67.070  65.850  65.850 65.85 67.07 68.29 69.51 70.730
[2,] 73.17 70.73  74.39  76.830  76.830  79.270 78.05 75.61 76.83 78.05 76.830
[3,] 79.27 81.10  84.15  87.805  89.635  87.195 84.15 83.54 83.54 82.32 84.145
[4,] 89.02 91.46  92.68  95.120  95.120  95.120 96.34 93.90 93.90 92.68 91.460
[5,] 91.46 96.34 100.00 100.000 100.000 100.000 98.78 96.34 96.34 98.78 97.560
     [,12]
[1,] 65.85
[2,] 76.83
[3,] 84.15
[4,] 91.46
[5,] 92.68

$n
 [1] 10 10 10 10 10 10 10 10 10 10 10  9

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 71.35071 70.74247 75.01159 78.66659 80.49659 79.27571 75.01159 74.40159
[2,] 87.18929 91.45753 93.28841 96.94341 98.77341 95.11429 93.28841 92.67841
         [,9]    [,10]    [,11]    [,12]
[1,] 75.01115 75.01027 76.83527 76.44487
[2,] 92.06885 89.62973 91.45473 91.85513

$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(59.76, 73.17, 79.27, 89.02, 91.46, 63.41,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5kxdw1258138913.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]  [,9] [,10]
[1,] 70.73 70.73 78.05  89.02 86.59  79.270 76.830 68.29 65.85 59.76
[2,] 79.88 75.00 82.32  92.07 91.46  87.195 84.755 74.39 65.85 69.51
[3,] 88.41 78.05 84.15  95.12 93.29  92.680 91.460 76.83 67.07 78.05
[4,] 92.68 81.10 85.98  99.39 95.12  96.950 93.900 79.88 69.51 79.88
[5,] 96.34 82.93 87.80 100.00 98.78 100.000 96.340 82.93 70.73 87.80

$n
 [1] 12 12 12 12 12 12 12 12 12 11

$conf
         [,1]     [,2]     [,3]    [,4]     [,5]     [,6]    [,7]     [,8]
[1,] 82.57183 75.26775 82.48065 91.7813 91.62065 88.23068 87.2889 74.32597
[2,] 94.24817 80.83225 85.81935 98.4587 94.95935 97.12932 95.6311 79.33403
         [,9]    [,10]
[1,] 65.40065 73.10986
[2,] 68.73935 82.99014

$out
numeric(0)

$group
numeric(0)

$names
 [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" NA 

Warning message:
In bxp(list(stats = c(70.73, 79.88, 88.41, 92.68, 96.34, 70.73,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6euap1258138913.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,]  8.834633 26.830 11.8875
[2,]  9.828816 28.660 14.7825
[3,] 10.694491 32.315 16.0025
[4,] 10.990465 32.930 17.0700
[5,] 11.286393 34.150 18.9000

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 10.16466 30.36742 14.95916
[2,] 11.22433 34.26258 17.04584

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(8.8346331748032, 9.82881589659035, 10.6944908951871,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1k9qm1258138913.ps tmp/1k9qm1258138913.png")
> system("convert tmp/2256i1258138913.ps tmp/2256i1258138913.png")
> system("convert tmp/3sy9u1258138913.ps tmp/3sy9u1258138913.png")
> system("convert tmp/4ajz91258138913.ps tmp/4ajz91258138913.png")
> system("convert tmp/5kxdw1258138913.ps tmp/5kxdw1258138913.png")
> system("convert tmp/6euap1258138913.ps tmp/6euap1258138913.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.042   0.804   1.297