R version 2.7.1 (2008-06-23)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(81.6,113.8,97.6,120.1,101.9,97.6,150,143.8,103.7,115.3,87.4,97.6,84,96.1,88,120.6,121.1,109.7,149.2,156.5,109.3,102,90,85.9,88.4,88.4,100,120.6,103.3,107.1,168.1,172.1,104.9,112.8,88.8,109,89.5,90.2,91.2,116.9,106.1,106.1,170.4,163.9,108,118.6,94.7,101.4,94.86,101.61,96.04,115.96,123.87,115.59,178.58,184.31,115.59,117.91,95.22,113.49,97.84,97.84,98.82,142.58,122.57,122.29,167.48,176.09,121.78,122.6,107.8,116.77,99.56,103.41,107.77,139.17,130.56,125.18,181.69,194.7,125.18,123.54,112.25,123.21,109.02,115.97,118.71,126.4,129.39,128.97,192.64,188.1,128.03,132.42,114.73,123.82)
> 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] 96
> (np <- floor(n / par1))
[1] 8
> 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] 8 8 8 8 8 8 8 8 8 8 8 8
> arr
       [,1]  [,2]  [,3]  [,4]   [,5]   [,6]   [,7]   [,8] [,9]
 [1,]  81.6  84.0  88.4  89.5  94.86  97.84  99.56 109.02   NA
 [2,] 113.8  96.1  88.4  90.2 101.61  97.84 103.41 115.97   NA
 [3,]  97.6  88.0 100.0  91.2  96.04  98.82 107.77 118.71   NA
 [4,] 120.1 120.6 120.6 116.9 115.96 142.58 139.17 126.40   NA
 [5,] 101.9 121.1 103.3 106.1 123.87 122.57 130.56 129.39   NA
 [6,]  97.6 109.7 107.1 106.1 115.59 122.29 125.18 128.97   NA
 [7,] 150.0 149.2 168.1 170.4 178.58 167.48 181.69 192.64   NA
 [8,] 143.8 156.5 172.1 163.9 184.31 176.09 194.70 188.10   NA
 [9,] 103.7 109.3 104.9 108.0 115.59 121.78 125.18 128.03   NA
[10,] 115.3 102.0 112.8 118.6 117.91 122.60 123.54 132.42   NA
[11,]  87.4  90.0  88.8  94.7  95.22 107.80 112.25 114.73   NA
[12,]  97.6  85.9 109.0 101.4 113.49 116.77 123.21 123.82   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/1edgx1218983389.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/28rbl1218983389.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/3dt8c1218983389.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/4uc311218983389.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]
[1,]  81.60  88.400  88.000 115.960 101.900  97.600 149.200 143.800 103.700
[2,]  86.20  93.150  93.620 118.500 104.700 106.600 158.740 160.200 106.450
[3,]  92.18  99.725  98.210 120.600 121.835 112.645 169.250 174.095 112.445
[4,]  98.70 108.605 103.885 132.785 126.630 123.735 180.135 186.205 123.480
[5,] 109.02 115.970 118.710 142.580 130.560 128.970 192.640 194.700 128.030
       [,10]   [,11]   [,12]
[1,] 102.000  87.400  85.900
[2,] 114.050  89.400  99.500
[3,] 118.255  94.960 111.245
[4,] 123.070 110.025 119.990
[5,] 132.420 114.730 123.820

$n
 [1] 8 8 8 8 8 8 8 8 8 8 8 8

$conf
         [,1]      [,2]      [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 85.19732  91.09162  92.47582 112.6202 109.5846 103.0731 157.2984 159.5682
[2,] 99.16268 108.35838 103.94418 128.5798 134.0854 122.2169 181.2016 188.6218
         [,9]    [,10]     [,11]   [,12]
[1,] 102.9318 113.2163  83.43858  99.799
[2,] 121.9582 123.2937 106.48142 122.691

$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(81.6, 86.2, 92.18, 98.7, 109.02, 88.4, 93.15,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/582tp1218983389.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]
[1,]  81.6  84.00  88.4  89.50  94.860  97.840  99.560 109.020   NA
[2,]  97.6  89.00  94.4  92.95  98.825 103.310 110.010 117.340   NA
[3,] 102.8 105.65 106.0 106.10 115.590 122.035 124.360 127.215   NA
[4,] 117.7 120.85 116.7 117.75 120.890 132.590 134.865 130.905   NA
[5,] 143.8 156.50 120.6 118.60 123.870 176.090 139.170 132.420   NA

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

$conf
          [,1]    [,2]      [,3]      [,4]    [,5]     [,6]     [,7]     [,8]
[1,]  93.63226  91.123  95.82882  94.78855 105.526 108.6802 113.0235 121.0279
[2,] 111.96774 120.177 116.17118 117.41145 125.654 135.3898 135.6965 133.4021
     [,9]
[1,]   NA
[2,]   NA

$out
 [1] 150.00 168.10 172.10 170.40 163.90 178.58 184.31 181.69 194.70 192.64
[11] 188.10

$group
 [1] 1 3 3 4 4 5 5 7 7 8 8

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

Warning message:
In bxp(list(stats = c(81.6, 97.6, 102.8, 117.7, 143.8, 84, 89, 105.65,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6izgg1218983389.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,]  8.86659 24.330  7.11250
[2,]  9.57500 27.375 10.63125
[3,] 10.47945 29.540 15.78375
[4,] 12.48342 34.645 18.57125
[5,] 14.95300 43.440 23.20750

$n
[1] 12 12 12

$conf
          [,1]     [,2]     [,3]
[1,]  9.152898 26.22410 12.16226
[2,] 11.805998 32.85590 19.40524

$out
[1] 17.08108 50.90000

$group
[1] 1 2

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

Warning message:
In bxp(list(stats = c(8.8665904825764, 9.57499986561693, 10.4794476568978,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1edgx1218983389.ps tmp/1edgx1218983389.png")
> system("convert tmp/28rbl1218983389.ps tmp/28rbl1218983389.png")
> system("convert tmp/3dt8c1218983389.ps tmp/3dt8c1218983389.png")
> system("convert tmp/4uc311218983389.ps tmp/4uc311218983389.png")
> system("convert tmp/582tp1218983389.ps tmp/582tp1218983389.png")
> system("convert tmp/6izgg1218983389.ps tmp/6izgg1218983389.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.317   0.815   1.701