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(93.43,93.59,95.28,94.95,94.49,94.45,94.35,95.52,96.89,97.54,97.65,97.35,98.2,99.46,100.35,99.72,99.69,99.62,99.77,100.19,100.82,100.36,101.08,100.73,101.51,102.12,102.88,103.47,103.53,103.67,103.68,103.76,103.67,103.01,103.39,103.43,103.4,104.8,105.53,107.45,108.73,109.04,108.75,108.75,108.76,108.41,110.15,109.93,110.6,112.17,113.47,113.35,114.12,115,114.01,113.86,113.83,112.7,111.79,113.77)
> 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,] 93.43  98.20 101.51 103.40 110.60   NA
 [2,] 93.59  99.46 102.12 104.80 112.17   NA
 [3,] 95.28 100.35 102.88 105.53 113.47   NA
 [4,] 94.95  99.72 103.47 107.45 113.35   NA
 [5,] 94.49  99.69 103.53 108.73 114.12   NA
 [6,] 94.45  99.62 103.67 109.04 115.00   NA
 [7,] 94.35  99.77 103.68 108.75 114.01   NA
 [8,] 95.52 100.19 103.76 108.75 113.86   NA
 [9,] 96.89 100.82 103.67 108.76 113.83   NA
[10,] 97.54 100.36 103.01 108.41 112.70   NA
[11,] 97.65 101.08 103.39 110.15 111.79   NA
[12,] 97.35 100.73 103.43 109.93 113.77   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/16ku41493123626.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/26o2o1493123626.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/36mz71493123626.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/468901493123626.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,]  93.43  93.59  95.28  94.95  94.49  94.45  94.35  95.52  96.89  97.54
[2,]  98.20  99.46 100.35  99.72  99.69  99.62  99.77 100.19 100.82 100.36
[3,] 101.51 102.12 102.88 103.47 103.53 103.67 103.68 103.76 103.67 103.01
[4,] 103.40 104.80 105.53 107.45 108.73 109.04 108.75 108.75 108.76 108.41
[5,] 110.60 112.17 105.53 113.35 114.12 115.00 114.01 113.86 113.83 112.70
      [,11]  [,12]
[1,]  97.65  97.35
[2,] 101.08 100.73
[3,] 103.39 103.43
[4,] 110.15 109.93
[5,] 111.79 113.77

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

$conf
          [,1]      [,2]      [,3]    [,4]      [,5]      [,6]      [,7]
[1,]  97.83569  98.34677  99.21983  98.008  97.14236  97.01385  97.33475
[2,] 105.18431 105.89323 106.54017 108.932 109.91764 110.32615 110.02525
          [,8]      [,9]     [,10]     [,11]    [,12]
[1,]  97.71153  98.05962  97.32189  96.98116  96.9293
[2,] 109.80847 109.28038 108.69811 109.79884 109.9307

$out
[1] 113.47

$group
[1] 3

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

Warning message:
In bxp(list(stats = c(93.43, 98.2, 101.51, 103.4, 110.6, 93.59,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5dtvo1493123626.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,] 93.430  99.460 102.120 103.40 110.600   NA
[2,] 94.400  99.655 102.945 106.49 112.435   NA
[3,] 95.115  99.980 103.450 108.74 113.620   NA
[4,] 97.120 100.545 103.670 108.90 113.935   NA
[5,] 97.650 101.080 103.760 110.15 115.000   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]      [,2]     [,3]     [,4]     [,5] [,6]
[1,] 93.87439  99.57407 103.1193 107.6408 112.9358   NA
[2,] 96.35561 100.38593 103.7807 109.8392 114.3042   NA

$out
[1]  98.20 101.51

$group
[1] 2 3

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

Warning message:
In bxp(list(stats = c(93.43, 94.4, 95.115, 97.12, 97.65, 99.46,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6jlc41493123626.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,] 6.008970 14.140 5.180
[2,] 6.511162 16.680 6.535
[3,] 6.790789 18.265 8.305
[4,] 7.405728 19.105 9.055
[5,] 8.004120 20.550 9.420

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 6.382771 17.15894 7.155611
[2,] 7.198807 19.37106 9.454389

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(6.008969961649, 6.51116206448659, 6.79078906811522,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/16ku41493123626.ps tmp/16ku41493123626.png",intern=TRUE))
character(0)
> try(system("convert tmp/26o2o1493123626.ps tmp/26o2o1493123626.png",intern=TRUE))
character(0)
> try(system("convert tmp/36mz71493123626.ps tmp/36mz71493123626.png",intern=TRUE))
character(0)
> try(system("convert tmp/468901493123626.ps tmp/468901493123626.png",intern=TRUE))
character(0)
> try(system("convert tmp/5dtvo1493123626.ps tmp/5dtvo1493123626.png",intern=TRUE))
character(0)
> try(system("convert tmp/6jlc41493123626.ps tmp/6jlc41493123626.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.515   0.296   2.880