R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(31.5,31.29,31.3,31.06,31.09,31.11,31.13,31.1,31.03,30.74,30.83,30.82,30.8,30.74,30.71,30.58,30.71,30.7,30.7,30.72,30.68,30.78,30.84,30.8,30.8,30.88,30.87,30.92,30.82,30.75,30.75,30.75,30.63,30.52,30.58,30.6,30.6,30.63,30.56,30.61,30.53,30.6,30.6,30.63,30.66,30.34,30.32,30.3,30.3,30.08,29.96,29.91,29.83,29.89,29.85,30.06,29.83,29.95,30.02,30.03,30.03,29.96,29.85,30.12,29.91,29.9,29.92,29.89,29.96,29.72,29.6,29.54)
> 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,] 31.50 30.80 30.80 30.60 30.30 30.03   NA
 [2,] 31.29 30.74 30.88 30.63 30.08 29.96   NA
 [3,] 31.30 30.71 30.87 30.56 29.96 29.85   NA
 [4,] 31.06 30.58 30.92 30.61 29.91 30.12   NA
 [5,] 31.09 30.71 30.82 30.53 29.83 29.91   NA
 [6,] 31.11 30.70 30.75 30.60 29.89 29.90   NA
 [7,] 31.13 30.70 30.75 30.60 29.85 29.92   NA
 [8,] 31.10 30.72 30.75 30.63 30.06 29.89   NA
 [9,] 31.03 30.68 30.63 30.66 29.83 29.96   NA
[10,] 30.74 30.78 30.52 30.34 29.95 29.72   NA
[11,] 30.83 30.84 30.58 30.32 30.02 29.60   NA
[12,] 30.82 30.80 30.60 30.30 30.03 29.54   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/18bwp1354880422.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/29r7s1354880422.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/36nvp1354880422.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/4ho551354880422.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]
[1,] 30.03 29.960 29.850 29.910 29.83 29.89 29.85 29.890 29.830 29.72 29.60
[2,] 30.30 30.080 29.960 30.120 29.91 29.90 29.92 30.060 29.960 29.95 30.02
[3,] 30.70 30.685 30.635 30.595 30.62 30.65 30.65 30.675 30.645 30.43 30.45
[4,] 30.80 30.880 30.870 30.920 30.82 30.75 30.75 30.750 30.680 30.74 30.83
[5,] 31.50 31.290 31.300 31.060 31.09 31.11 31.13 31.100 31.030 30.78 30.84
     [,12]
[1,] 29.54
[2,] 30.03
[3,] 30.45
[4,] 30.80
[5,] 30.82

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 30.37748 30.16897 30.04802 30.07897 30.03302 30.10172 30.11462 30.22993
[2,] 31.02252 31.20103 31.22198 31.11103 31.20698 31.19828 31.18538 31.12007
         [,9]    [,10]    [,11]    [,12]
[1,] 30.18058 29.92042 29.92752 29.95333
[2,] 31.10942 30.93958 30.97248 30.94667

$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(30.03, 30.3, 30.7, 30.8, 31.5, 29.96, 30.08,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/55ren1354880422.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,] 30.740 30.580 30.520 30.300 29.830 29.540   NA
[2,] 30.930 30.700 30.615 30.435 29.870 29.785   NA
[3,] 31.095 30.715 30.750 30.600 29.955 29.905   NA
[4,] 31.210 30.790 30.845 30.620 30.045 29.960   NA
[5,] 31.500 30.840 30.920 30.660 30.300 30.120   NA

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

$conf
         [,1]     [,2]    [,3]     [,4]     [,5]     [,6] [,7]
[1,] 30.96729 30.67395 30.6451 30.51562 29.87518 29.82518   NA
[2,] 31.22271 30.75605 30.8549 30.68438 30.03482 29.98482   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(30.74, 30.93, 31.095, 31.21, 31.5, 30.58,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/6r5jy1354880422.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,] 0.4295308 1.060 0.5400
[2,] 0.4624414 1.205 0.5775
[3,] 0.4962934 1.250 0.6425
[4,] 0.5041788 1.305 0.6675
[5,] 0.5528622 1.450 0.7275

$n
[1] 12 12 12

$conf
          [,1]     [,2]      [,3]
[1,] 0.4772567 1.204389 0.6014504
[2,] 0.5153302 1.295611 0.6835496

$out
[1] 1.470 0.425

$group
[1] 2 3

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

Warning message:
In bxp(list(stats = c(0.429530751712455, 0.462441386748191, 0.496293423974124,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/18bwp1354880422.ps tmp/18bwp1354880422.png",intern=TRUE))
character(0)
> try(system("convert tmp/29r7s1354880422.ps tmp/29r7s1354880422.png",intern=TRUE))
character(0)
> try(system("convert tmp/36nvp1354880422.ps tmp/36nvp1354880422.png",intern=TRUE))
character(0)
> try(system("convert tmp/4ho551354880422.ps tmp/4ho551354880422.png",intern=TRUE))
character(0)
> try(system("convert tmp/55ren1354880422.ps tmp/55ren1354880422.png",intern=TRUE))
character(0)
> try(system("convert tmp/6r5jy1354880422.ps tmp/6r5jy1354880422.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.145   0.800   3.932