R version 3.3.3 (2017-03-06) -- "Another Canoe"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(93.09,93.02,93.23,92.7,92.68,93.11,93.02,93.29,93.2,92.86,93.04,92.8,93.11,93.42,94.01,94.47,94.07,94.33,94.43,95.37,95.83,95.46,96,95.35,96.85,97.84,98.38,98.9,99.51,99.95,99.93,101.4,101.7,101.65,102.33,101.56,101.91,102.29,102.44,102.84,103.2,103.23,103.16,103.31,103.04,102.57,102.88,101.91,102.59,103.27,103.59,104.35,104.6,105.08,104.93,105.15,104.67,104.55,109.82,109.25)
> 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] 60
> (np <- floor(n / par1))
[1] 5
> 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] 5 5 5 5 5 5 5 5 5 5 5 5
> arr
       [,1]  [,2]   [,3]   [,4]   [,5] [,6]
 [1,] 93.09 93.11  96.85 101.91 102.59   NA
 [2,] 93.02 93.42  97.84 102.29 103.27   NA
 [3,] 93.23 94.01  98.38 102.44 103.59   NA
 [4,] 92.70 94.47  98.90 102.84 104.35   NA
 [5,] 92.68 94.07  99.51 103.20 104.60   NA
 [6,] 93.11 94.33  99.95 103.23 105.08   NA
 [7,] 93.02 94.43  99.93 103.16 104.93   NA
 [8,] 93.29 95.37 101.40 103.31 105.15   NA
 [9,] 93.20 95.83 101.70 103.04 104.67   NA
[10,] 92.86 95.46 101.65 102.57 104.55   NA
[11,] 93.04 96.00 102.33 102.88 109.82   NA
[12,] 92.80 95.35 101.56 101.91 109.25   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/1r3qf1493146385.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/2vxyt1493146385.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/3z6cl1493146385.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/4if9i1493146385.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]
[1,]  93.09  93.02  93.23  92.70  92.68  93.11  93.02  93.29  93.20  92.86
[2,]  93.11  93.42  94.01  94.47  94.07  94.33  94.43  95.37  95.83  95.46
[3,]  96.85  97.84  98.38  98.90  99.51  99.95  99.93 101.40 101.70 101.65
[4,] 101.91 102.29 102.44 102.84 103.20 103.23 103.16 103.31 103.04 102.57
[5,] 102.59 103.27 103.59 104.35 104.60 105.08 104.93 105.15 104.67 104.55
      [,11]  [,12]
[1,]  93.04  92.80
[2,]  96.00  95.35
[3,] 102.33 101.56
[4,] 102.88 101.91
[5,] 109.82 109.25

$n
 [1] 5 5 5 5 5 5 5 5 5 5 5 5

$conf
          [,1]      [,2]      [,3]      [,4]      [,5]      [,6]     [,7]
[1,]  90.63194  91.57248  92.42338  92.98578  93.05876  93.66128  93.7614
[2,] 103.06806 104.10752 104.33662 104.81422 105.96124 106.23872 106.0986
          [,8]      [,9]     [,10]     [,11]     [,12]
[1,]  95.78962  96.60543  96.62609  97.46861  96.92472
[2,] 107.01038 106.79457 106.67391 107.19139 106.19528

$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(93.09, 93.11, 96.85, 101.91, 102.59, 93.02,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5z00o1493146385.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]
[1,] 92.680 93.110  96.850 101.910 102.590   NA
[2,] 92.830 94.040  98.640 102.365 103.970   NA
[3,] 93.030 94.450  99.940 102.860 104.635   NA
[4,] 93.155 95.415 101.605 103.180 105.115   NA
[5,] 93.290 96.000 102.330 103.310 105.150   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]     [,2]      [,3]     [,4]     [,5] [,6]
[1,] 92.88177 93.82285  98.58764 102.4883 104.1128   NA
[2,] 93.17823 95.07715 101.29236 103.2317 105.1572   NA

$out
[1] 109.82 109.25

$group
[1] 5 5

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

Warning message:
In bxp(list(stats = c(92.68, 92.83, 93.03, 93.155, 93.29, 93.11,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6scgd1493146385.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,] 4.596151  9.500 6.560
[2,] 4.860844 10.915 7.160
[3,] 5.104381 11.775 8.400
[4,] 5.309119 11.945 8.835
[5,] 5.322844 11.970 9.130

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 4.899920 11.30521 7.636021
[2,] 5.308842 12.24479 9.163979

$out
[1]  6.543782  6.421747 16.780000 16.450000

$group
[1] 1 1 2 2

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

Warning message:
In bxp(list(stats = c(4.59615056324311, 4.86084413850068, 5.10438089865759,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1r3qf1493146385.ps tmp/1r3qf1493146385.png",intern=TRUE))
character(0)
> try(system("convert tmp/2vxyt1493146385.ps tmp/2vxyt1493146385.png",intern=TRUE))
character(0)
> try(system("convert tmp/3z6cl1493146385.ps tmp/3z6cl1493146385.png",intern=TRUE))
character(0)
> try(system("convert tmp/4if9i1493146385.ps tmp/4if9i1493146385.png",intern=TRUE))
character(0)
> try(system("convert tmp/5z00o1493146385.ps tmp/5z00o1493146385.png",intern=TRUE))
character(0)
> try(system("convert tmp/6scgd1493146385.ps tmp/6scgd1493146385.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.768   0.475   4.746