R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(1.2103,1.1938,1.202,1.2271,1.277,1.265,1.2684,1.2811,1.2727,1.2611,1.2881,1.3213,1.2999,1.3074,1.3242,1.3516,1.3511,1.3419,1.3716,1.3622,1.3896,1.4227,1.4684,1.457,1.4718,1.4748,1.5527,1.5751,1.5557,1.5553,1.577,1.4975,1.4369,1.3322,1.2732,1.3449,1.3239,1.2785,1.305,1.319,1.365,1.4016,1.4088,1.4268,1.4562,1.4816,1.4914,1.4614,1.4272,1.3686,1.3569,1.3406,1.2565,1.2209,1.277,1.2894,1.3067,1.3898,1.3661,1.322,1.336,1.3649,1.3999,1.4442,1.4349,1.4388,1.4264,1.4343,1.377,1.3706,1.3556,1.3179,1.2905,1.3224,1.3201,1.3162,1.2789,1.2526,1.2288,1.24,1.2856,1.2974,1.2828,1.3119)
> 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] 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,] 1.2103 1.2999 1.4718 1.3239 1.4272 1.3360 1.2905   NA
 [2,] 1.1938 1.3074 1.4748 1.2785 1.3686 1.3649 1.3224   NA
 [3,] 1.2020 1.3242 1.5527 1.3050 1.3569 1.3999 1.3201   NA
 [4,] 1.2271 1.3516 1.5751 1.3190 1.3406 1.4442 1.3162   NA
 [5,] 1.2770 1.3511 1.5557 1.3650 1.2565 1.4349 1.2789   NA
 [6,] 1.2650 1.3419 1.5553 1.4016 1.2209 1.4388 1.2526   NA
 [7,] 1.2684 1.3716 1.5770 1.4088 1.2770 1.4264 1.2288   NA
 [8,] 1.2811 1.3622 1.4975 1.4268 1.2894 1.4343 1.2400   NA
 [9,] 1.2727 1.3896 1.4369 1.4562 1.3067 1.3770 1.2856   NA
[10,] 1.2611 1.4227 1.3322 1.4816 1.3898 1.3706 1.2974   NA
[11,] 1.2881 1.4684 1.2732 1.4914 1.3661 1.3556 1.2828   NA
[12,] 1.3213 1.4570 1.3449 1.4614 1.3220 1.3179 1.3119   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/1emiz1385577825.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/2tno11385577825.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/3lv0h1385577825.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/4a3fo1385577825.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,] 1.2103 1.19380 1.30500 1.2271 1.25650 1.2209 1.2288 1.24000 1.27270
[2,] 1.2952 1.29295 1.31255 1.3176 1.27795 1.2588 1.2727 1.28525 1.29615
[3,] 1.3239 1.32240 1.32420 1.3406 1.35110 1.3419 1.3716 1.36220 1.37700
[4,] 1.3816 1.36675 1.37840 1.3979 1.39995 1.4202 1.4176 1.43055 1.41325
[5,] 1.4718 1.47480 1.39990 1.4442 1.55570 1.5553 1.5770 1.49750 1.45620
       [,10]   [,11]   [,12]
[1,] 1.26110 1.27320 1.31190
[2,] 1.31480 1.28545 1.31960
[3,] 1.37060 1.35560 1.32200
[4,] 1.40625 1.41725 1.40095
[5,] 1.48160 1.49140 1.46140

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 1.272303 1.278328 1.284875 1.292646 1.278244 1.245515 1.285068 1.275429
[2,] 1.375497 1.366472 1.363525 1.388554 1.423956 1.438285 1.458132 1.448971
        [,9]    [,10]    [,11]    [,12]
[1,] 1.30707 1.315988 1.276891 1.273419
[2,] 1.44693 1.425212 1.434309 1.370581

$out
[1] 1.2020 1.5527 1.5751

$group
[1] 3 3 4

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

Warning message:
In bxp(list(stats = c(1.2103, 1.2952, 1.3239, 1.3816, 1.4718, 1.1938,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5z1zw1385577825.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]
[1,] 1.19380 1.29990 1.27320 1.27850 1.22090 1.31790 1.22880   NA
[2,] 1.21870 1.33305 1.39090 1.32145 1.28320 1.36025 1.26575   NA
[3,] 1.26670 1.35690 1.48615 1.40520 1.33130 1.38845 1.28805   NA
[4,] 1.27905 1.40615 1.55550 1.45880 1.36735 1.43460 1.31405   NA
[5,] 1.32130 1.46840 1.57700 1.49140 1.42720 1.44420 1.32240   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]    [,7] [,8]
[1,] 1.239174 1.323559 1.411075 1.342554 1.292919 1.354538 1.26602   NA
[2,] 1.294226 1.390241 1.561225 1.467846 1.369681 1.422362 1.31008   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(1.1938, 1.2187, 1.2667, 1.27905, 1.3213, 1.2999,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6c1li1385577825.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,] 0.06696797 0.14950 0.065850
[2,] 0.08116071 0.21935 0.080825
[3,] 0.09224325 0.27125 0.104275
[4,] 0.10942887 0.34120 0.138350
[5,] 0.11993100 0.35070 0.161400

$n
[1] 12 12 12

$conf
           [,1]      [,2]       [,3]
[1,] 0.07934995 0.2156734 0.07803746
[2,] 0.10513654 0.3268266 0.13051254

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(0.0669679738666889, 0.0811607120718652, 0.0922432460540675,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1emiz1385577825.ps tmp/1emiz1385577825.png",intern=TRUE))
character(0)
> try(system("convert tmp/2tno11385577825.ps tmp/2tno11385577825.png",intern=TRUE))
character(0)
> try(system("convert tmp/3lv0h1385577825.ps tmp/3lv0h1385577825.png",intern=TRUE))
character(0)
> try(system("convert tmp/4a3fo1385577825.ps tmp/4a3fo1385577825.png",intern=TRUE))
character(0)
> try(system("convert tmp/5z1zw1385577825.ps tmp/5z1zw1385577825.png",intern=TRUE))
character(0)
> try(system("convert tmp/6c1li1385577825.ps tmp/6c1li1385577825.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.391   0.928   5.284