R version 2.15.3 (2013-03-01) -- "Security Blanket"
Copyright (C) 2013 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(9.11,9.06,9.11,9.13,9.13,9.19,9.2,9.23,9.24,9.28,9.32,9.32,9.32,9.36,9.37,9.38,9.41,9.44,9.44,9.44,9.47,9.48,9.56,9.58,9.56,9.58,9.7,9.74,9.76,9.78,9.84,9.88,9.96,9.97,9.96,9.96,9.96,10.02,10.08,10.09,10.12,10.14,10.17,10.22,10.25,10.25,10.26,10.34,10.33,10.3,10.33,10.33,10.37,10.44,10.45,10.45,10.44,10.43,10.4,10.43,10.47,10.52,10.55,10.5,10.44,10.47,10.5,10.54,10.55,10.53,10.54,10.54)
> par1 = '12'
> par1 <- '12'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Standard Deviation Plot (v1.0.2) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_sdplot.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> 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,] 9.11 9.32 9.56  9.96 10.33 10.47   NA
 [2,] 9.06 9.36 9.58 10.02 10.30 10.52   NA
 [3,] 9.11 9.37 9.70 10.08 10.33 10.55   NA
 [4,] 9.13 9.38 9.74 10.09 10.33 10.50   NA
 [5,] 9.13 9.41 9.76 10.12 10.37 10.44   NA
 [6,] 9.19 9.44 9.78 10.14 10.44 10.47   NA
 [7,] 9.20 9.44 9.84 10.17 10.45 10.50   NA
 [8,] 9.23 9.44 9.88 10.22 10.45 10.54   NA
 [9,] 9.24 9.47 9.96 10.25 10.44 10.55   NA
[10,] 9.28 9.48 9.97 10.25 10.43 10.53   NA
[11,] 9.32 9.56 9.96 10.26 10.40 10.54   NA
[12,] 9.32 9.58 9.96 10.34 10.43 10.54   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/fisher/rcomp/tmp/10p381367005772.ps",horizontal=F,onefile=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/fisher/rcomp/tmp/285tb1367005772.ps",horizontal=F,onefile=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/fisher/rcomp/tmp/3zuir1367005772.ps",horizontal=F,onefile=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/fisher/rcomp/tmp/49qrh1367005772.ps",horizontal=F,onefile=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,]  9.11  9.06  9.11  9.130  9.13  9.19  9.200  9.23  9.240  9.28  9.32  9.32
[2,]  9.32  9.36  9.37  9.380  9.41  9.44  9.440  9.44  9.470  9.48  9.56  9.58
[3,]  9.76  9.80  9.89  9.915  9.94  9.96 10.005 10.05 10.105 10.11 10.11 10.15
[4,] 10.33 10.30 10.33 10.330 10.37 10.44 10.450 10.45 10.440 10.43 10.40 10.43
[5,] 10.47 10.52 10.55 10.500 10.44 10.47 10.500 10.54 10.550 10.53 10.54 10.54

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

$conf
          [,1]     [,2]      [,3]      [,4]      [,5]      [,6]      [,7]
[1,]  9.108517  9.19367  9.270769  9.302219  9.320769  9.314968  9.353517
[2,] 10.411483 10.40633 10.509231 10.527781 10.559231 10.605032 10.656483
          [,8]      [,9]     [,10]     [,11]     [,12]
[1,]  9.398517  9.479319  9.497219  9.568173  9.601723
[2,] 10.701483 10.730681 10.722781 10.651827 10.698277

$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(9.11, 9.32, 9.76, 10.33, 10.47, 9.06, 9.36,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/51ego1367005772.ps",horizontal=F,onefile=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,] 9.060 9.320 9.56  9.960 10.300 10.440   NA
[2,] 9.120 9.375 9.72 10.085 10.330 10.485   NA
[3,] 9.195 9.440 9.81 10.155 10.415 10.525   NA
[4,] 9.260 9.475 9.96 10.250 10.440 10.540   NA
[5,] 9.320 9.580 9.97 10.340 10.450 10.550   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]
[1,] 9.131145 9.394389 9.700534 10.07974 10.36483 10.49991   NA
[2,] 9.258855 9.485611 9.919466 10.23026 10.46517 10.55009   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(9.06, 9.12, 9.195, 9.26, 9.32, 9.32, 9.375,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/6ca961367005772.ps",horizontal=F,onefile=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,] 0.4955166 1.220 0.73250
[2,] 0.5215666 1.265 0.79125
[3,] 0.5339718 1.310 0.81250
[4,] 0.5458832 1.365 0.84000
[5,] 0.5667686 1.460 0.85750

$n
[1] 12 12 12

$conf
          [,1]     [,2]      [,3]
[1,] 0.5228809 1.264389 0.7902648
[2,] 0.5450628 1.355611 0.8347352

$out
[1] 0.4850842 0.7050000

$group
[1] 1 3

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

Warning message:
In bxp(list(stats = c(0.495516565481585, 0.521566595437708, 0.533971836389424,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/10p381367005772.ps tmp/10p381367005772.png",intern=TRUE))
character(0)
> try(system("convert tmp/285tb1367005772.ps tmp/285tb1367005772.png",intern=TRUE))
character(0)
> try(system("convert tmp/3zuir1367005772.ps tmp/3zuir1367005772.png",intern=TRUE))
character(0)
> try(system("convert tmp/49qrh1367005772.ps tmp/49qrh1367005772.png",intern=TRUE))
character(0)
> try(system("convert tmp/51ego1367005772.ps tmp/51ego1367005772.png",intern=TRUE))
character(0)
> try(system("convert tmp/6ca961367005772.ps tmp/6ca961367005772.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.879   0.507   3.379