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(2.12,2.13,2.14,2.15,2.15,2.16,2.17,2.17,2.18,2.17,2.17,2.18,2.17,2.18,2.18,2.18,2.17,2.17,2.18,2.17,2.18,2.17,2.17,2.17,2.17,2.17,2.17,2.17,2.17,2.17,2.18,2.18,2.18,2.18,2.18,2.18,2.18,2.18,2.18,2.18,2.18,2.18,2.18,2.19,2.19,2.19,2.2,2.2,2.21,2.21,2.21,2.2,2.21,2.2,2.21,2.21,2.22,2.22,2.23,2.24,2.24,2.25,2.25,2.32,2.36,2.37,2.37,2.37,2.38,2.38,2.41,2.42,2.43,2.44,2.44,2.44,2.43,2.43,2.43,2.42,2.42,2.42,2.42,2.42)
> 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,] 2.12 2.17 2.17 2.18 2.21 2.24 2.43   NA
 [2,] 2.13 2.18 2.17 2.18 2.21 2.25 2.44   NA
 [3,] 2.14 2.18 2.17 2.18 2.21 2.25 2.44   NA
 [4,] 2.15 2.18 2.17 2.18 2.20 2.32 2.44   NA
 [5,] 2.15 2.17 2.17 2.18 2.21 2.36 2.43   NA
 [6,] 2.16 2.17 2.17 2.18 2.20 2.37 2.43   NA
 [7,] 2.17 2.18 2.18 2.18 2.21 2.37 2.43   NA
 [8,] 2.17 2.17 2.18 2.19 2.21 2.37 2.42   NA
 [9,] 2.18 2.18 2.18 2.19 2.22 2.38 2.42   NA
[10,] 2.17 2.17 2.18 2.19 2.22 2.38 2.42   NA
[11,] 2.17 2.17 2.18 2.20 2.23 2.41 2.42   NA
[12,] 2.18 2.17 2.18 2.20 2.24 2.42 2.42   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/16e5f1262869053.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/28f421262869053.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/3q4f21262869053.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/4seba1262869053.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,] 2.120 2.130 2.140 2.150 2.150 2.160 2.17 2.170 2.18 2.170 2.170  2.17
[2,] 2.170 2.175 2.175 2.175 2.170 2.170 2.18 2.175 2.18 2.175 2.175  2.18
[3,] 2.180 2.180 2.180 2.180 2.180 2.180 2.18 2.190 2.19 2.190 2.200  2.20
[4,] 2.225 2.230 2.230 2.260 2.285 2.285 2.29 2.290 2.30 2.300 2.320  2.33
[5,] 2.240 2.250 2.250 2.320 2.430 2.430 2.43 2.420 2.42 2.420 2.420  2.42

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 2.147155 2.147155 2.147155 2.129239 2.111324 2.111324 2.114310 2.121324
[2,] 2.212845 2.212845 2.212845 2.230761 2.248676 2.248676 2.245690 2.258676
         [,9]    [,10]    [,11]    [,12]
[1,] 2.118338 2.115352 2.113408 2.110422
[2,] 2.261662 2.264648 2.286592 2.289578

$out
[1] 2.43 2.44 2.44 2.44

$group
[1] 1 2 3 4

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

Warning message:
In bxp(list(stats = c(2.12, 2.17, 2.18, 2.225, 2.24, 2.13, 2.175,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5ijm61262869053.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,] 2.120 2.17 2.170 2.18 2.20 2.240 2.420   NA
[2,] 2.145 2.17 2.170 2.18 2.21 2.285 2.420   NA
[3,] 2.165 2.17 2.175 2.18 2.21 2.370 2.430   NA
[4,] 2.170 2.18 2.180 2.19 2.22 2.380 2.435   NA
[5,] 2.180 2.18 2.180 2.20 2.23 2.420 2.440   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]    [,6]     [,7] [,8]
[1,] 2.153597 2.165439 2.170439 2.175439 2.205439 2.32667 2.423158   NA
[2,] 2.176403 2.174561 2.179561 2.184561 2.214561 2.41333 2.436842   NA

$out
[1] 2.24

$group
[1] 5

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

Warning message:
In bxp(list(stats = c(2.12, 2.145, 2.165, 2.17, 2.18, 2.17, 2.17,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/61odc1262869053.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,] 0.1009479 0.240 0.0550
[2,] 0.1033345 0.250 0.0700
[3,] 0.1064246 0.265 0.1150
[4,] 0.1107858 0.295 0.1225
[5,] 0.1126097 0.310 0.1500

$n
[1] 12 12 12

$conf
          [,1]      [,2]      [,3]
[1,] 0.1030260 0.2444752 0.0910544
[2,] 0.1098232 0.2855248 0.1389456

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(0.100947888489439, 0.103334460213354, 0.106424575879172,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/16e5f1262869053.ps tmp/16e5f1262869053.png",intern=TRUE))
character(0)
> try(system("convert tmp/28f421262869053.ps tmp/28f421262869053.png",intern=TRUE))
character(0)
> try(system("convert tmp/3q4f21262869053.ps tmp/3q4f21262869053.png",intern=TRUE))
character(0)
> try(system("convert tmp/4seba1262869053.ps tmp/4seba1262869053.png",intern=TRUE))
character(0)
> try(system("convert tmp/5ijm61262869053.ps tmp/5ijm61262869053.png",intern=TRUE))
character(0)
> try(system("convert tmp/61odc1262869053.ps tmp/61odc1262869053.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.042   0.811   1.384