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(166.7,159.7,191,239.4,321.9,362.7,413.6,407.1,383.2,347.7,333.8,312.3,295.4,283.3,287.6,265.7,250.2,234.7,244,231.2,223.8,223.5,210.5,201.6,190.7,207.5,198.8,196.6,204.2,227.4,229.7,217.9,221.4,216.3,197,193.8,196.8,180.5,174.8,181.6,190,190.6,179,174.1,161.1,168.6,169.4,152.2,148.3,137.7,145,153.4,141.7,142.7,135.9,131.8,134.6,127.5,126.5,118.7,117.1,110.7,107.1,105.4,99,104,101.1,99.3,95.8,94.1,104.8,110.9)
> 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,] 166.7 295.4 190.7 196.8 148.3 117.1   NA
 [2,] 159.7 283.3 207.5 180.5 137.7 110.7   NA
 [3,] 191.0 287.6 198.8 174.8 145.0 107.1   NA
 [4,] 239.4 265.7 196.6 181.6 153.4 105.4   NA
 [5,] 321.9 250.2 204.2 190.0 141.7  99.0   NA
 [6,] 362.7 234.7 227.4 190.6 142.7 104.0   NA
 [7,] 413.6 244.0 229.7 179.0 135.9 101.1   NA
 [8,] 407.1 231.2 217.9 174.1 131.8  99.3   NA
 [9,] 383.2 223.8 221.4 161.1 134.6  95.8   NA
[10,] 347.7 223.5 216.3 168.6 127.5  94.1   NA
[11,] 333.8 210.5 197.0 169.4 126.5 104.8   NA
[12,] 312.3 201.6 193.8 152.2 118.7 110.9   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/10frs1244386684.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/20xqz1244386684.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/3wtih1244386684.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/44cfm1244386684.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,] 117.1 110.7 107.1 105.4  99.0 104.0 101.10  99.3  95.80  94.10 104.8 110.9
[2,] 148.3 137.7 145.0 153.4 141.7 142.7 135.90 131.8 134.60 127.50 126.5 118.7
[3,] 178.7 170.1 182.9 189.1 197.1 209.0 204.35 196.0 191.25 192.45 183.2 173.0
[4,] 196.8 207.5 198.8 239.4 250.2 234.7 244.00 231.2 223.80 223.50 210.5 201.6
[5,] 196.8 283.3 198.8 265.7 321.9 362.7 244.00 231.2 223.80 347.70 333.8 312.3

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

$conf
         [,1]     [,2]     [,3]     [,4]    [,5]     [,6]    [,7]     [,8]
[1,] 147.4159 125.0767 148.1973 133.6272 127.114 149.6570 134.622 131.8838
[2,] 209.9841 215.1233 217.6027 244.5728 267.086 268.3430 274.078 260.1162
         [,9]    [,10]    [,11]    [,12]
[1,] 133.7131 130.5269 129.0173 119.5268
[2,] 248.7869 254.3731 237.3827 226.4732

$out
[1] 295.4 287.6 413.6 407.1 383.2

$group
[1] 1 3 7 8 9

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

Warning message:
In bxp(list(stats = c(117.1, 148.3, 178.7, 196.8, 196.8, 110.7,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5ryl21244386684.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,] 159.70 201.60 190.70 152.2 118.70  94.10   NA
[2,] 215.20 223.65 196.80 169.0 129.65  99.15   NA
[3,] 327.85 239.35 205.85 176.9 136.80 104.40   NA
[4,] 372.95 274.50 219.65 185.8 143.85 108.90   NA
[5,] 413.60 295.40 229.70 196.8 153.40 117.10   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]      [,6] [,7]
[1,] 255.8992 216.1570 195.4280 169.2374 130.3233  99.95296   NA
[2,] 399.8008 262.5430 216.2720 184.5626 143.2767 108.84704   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(159.7, 215.2, 327.85, 372.95, 413.6, 201.6,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6wm5p1244386684.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,]  57.93264 160.30 42.3750
[2,]  60.96560 179.40 62.9000
[3,]  79.96211 225.95 75.3875
[4,]  95.50926 273.05 84.4250
[5,] 110.44962 312.50 93.7500

$n
[1] 12 12 12

$conf
         [,1]     [,2]    [,3]
[1,] 64.20651 183.2356 65.5698
[2,] 95.71770 268.6644 85.2052

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(57.9326419214591, 60.9655957768875, 79.9621075656595,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/10frs1244386684.ps tmp/10frs1244386684.png")
> system("convert tmp/20xqz1244386684.ps tmp/20xqz1244386684.png")
> system("convert tmp/3wtih1244386684.ps tmp/3wtih1244386684.png")
> system("convert tmp/44cfm1244386684.ps tmp/44cfm1244386684.png")
> system("convert tmp/5ryl21244386684.ps tmp/5ryl21244386684.png")
> system("convert tmp/6wm5p1244386684.ps tmp/6wm5p1244386684.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.043   0.799   1.331