R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(31956,29506,34506,27165,26736,23691,18157,17328,18205,20995,17382,9367,31124,26551,30651,25859,25100,25778,20418,18688,20424,24776,19814,12738,31566,30111,30019,31934,25826,26835,20205,17789,20520,22518,15572,11509,25447,24090,27786,26195,20516,22759,19028,16971,20036,22485,18730,14538,27561,25985,34670,32066,27186,29586,21359,21553,19573,24256,22380,16167,27297,28287,33474,28229,28785,25597,18130,20198,22849,23118,21925,20801,18785,20659,29367,23992,20645,22356,17902,15879,16963,21035,17988,10437,24470,22237,27053,26419,22311,20624,17336,15586,17733,19231,16102,11770)
> 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] 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,] 31956 31124 31566 25447 27561 27297 18785 24470   NA
 [2,] 29506 26551 30111 24090 25985 28287 20659 22237   NA
 [3,] 34506 30651 30019 27786 34670 33474 29367 27053   NA
 [4,] 27165 25859 31934 26195 32066 28229 23992 26419   NA
 [5,] 26736 25100 25826 20516 27186 28785 20645 22311   NA
 [6,] 23691 25778 26835 22759 29586 25597 22356 20624   NA
 [7,] 18157 20418 20205 19028 21359 18130 17902 17336   NA
 [8,] 17328 18688 17789 16971 21553 20198 15879 15586   NA
 [9,] 18205 20424 20520 20036 19573 22849 16963 17733   NA
[10,] 20995 24776 22518 22485 24256 23118 21035 19231   NA
[11,] 17382 19814 15572 18730 22380 21925 17988 16102   NA
[12,]  9367 12738 11509 14538 16167 20801 10437 11770   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/wessaorg/rcomp/tmp/1ajst1425923925.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/wessaorg/rcomp/tmp/2g73p1425923925.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/wessaorg/rcomp/tmp/3f7jf1425923925.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/wessaorg/rcomp/tmp/4221z1425923925.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]
[1,] 18785.0 20659.0 27053.0 23992.0 20516 20624.0 17336.0 15586.0 16963.0
[2,] 24958.5 23163.5 28576.5 26027.0 21478 22557.5 18016.0 16425.0 17969.0
[3,] 27429.0 26268.0 30335.0 26792.0 25463 24644.0 18592.5 17558.5 19804.5
[4,] 31345.0 28896.5 33990.0 30081.5 26961 26306.5 20311.5 19443.0 20472.0
[5,] 31956.0 30111.0 34670.0 32066.0 28785 29586.0 21359.0 21553.0 22849.0
       [,10]   [,11]   [,12]
[1,] 19231.0 15572.0  9367.0
[2,] 21015.0 16742.0 10973.0
[3,] 22501.5 18359.0 12254.0
[4,] 23687.0 20869.5 15352.5
[5,] 24776.0 22380.0 20801.0

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

$conf
         [,1]     [,2]     [,3]    [,4]     [,5]     [,6]    [,7]    [,8]
[1,] 23861.41 23065.46 27310.94 24527.1 22400.12 22549.75 17310.2 15872.6
[2,] 30996.59 29470.54 33359.06 29056.9 28525.88 26738.25 19874.8 19244.4
         [,9]    [,10]    [,11]     [,12]
[1,] 18406.29 21008.88 16053.32  9807.548
[2,] 21202.71 23994.12 20664.68 14700.452

$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(18785, 24958.5, 27429, 31345, 31956, 20659,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5d5ou1425923925.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]    [,8] [,9]
[1,]  9367.0 12738 11509 14538.0 16167.0 18130.0 15879.0 11770.0   NA
[2,] 17769.5 20116 18997 18879.0 21456.0 21363.0 17432.5 16719.0   NA
[3,] 22343.0 24938 24172 21500.5 25120.5 24357.5 19715.0 19927.5   NA
[4,] 28335.5 26205 30065 24768.5 28573.5 28258.0 21695.5 23390.5   NA
[5,] 34506.0 31124 31934 27786.0 34670.0 33474.0 23992.0 27053.0   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 17523.78 22160.77 19123.81 18814.26 21874.16 21212.64 17770.62 16884.58
[2,] 27162.22 27715.23 29220.19 24186.74 28366.84 27502.36 21659.38 22970.42
     [,9]
[1,]   NA
[2,]   NA

$out
[1] 29367 10437

$group
[1] 7 7

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

Warning message:
In bxp(list(stats = c(9367, 17769.5, 22343, 28335.5, 34506, 12738,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6up181425923925.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,] 1436.001  4023.0 2185.250
[2,] 1969.636  5926.5 2372.500
[3,] 2876.770  7845.5 3331.875
[4,] 3260.195  9207.0 4857.125
[5,] 4448.294 13171.0 6031.750

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 2288.138 6349.242 2198.621
[2,] 3465.403 9341.758 4465.129

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(1436.00064041967, 1969.63577542991, 2876.77008612019,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1ajst1425923925.ps tmp/1ajst1425923925.png",intern=TRUE))
character(0)
> try(system("convert tmp/2g73p1425923925.ps tmp/2g73p1425923925.png",intern=TRUE))
character(0)
> try(system("convert tmp/3f7jf1425923925.ps tmp/3f7jf1425923925.png",intern=TRUE))
character(0)
> try(system("convert tmp/4221z1425923925.ps tmp/4221z1425923925.png",intern=TRUE))
character(0)
> try(system("convert tmp/5d5ou1425923925.ps tmp/5d5ou1425923925.png",intern=TRUE))
character(0)
> try(system("convert tmp/6up181425923925.ps tmp/6up181425923925.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.066   0.319   2.412