R version 3.2.4 (2016-03-10) -- "Very Secure Dishes"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(93.41,93,96.61,99.69,101.05,98,97.32,97.83,99.57,97.63,96.68,96.28,99.81,101.43,105.59,108.86,104.01,101.95,101.52,105.61,108.43,105.54,100.11,99.93,99.88,102.71,101.89,101.93,99.49,99.87,100.33,101.5,102.29,97.04,95.71,97.37,96.51,96.33,96.88,97.59,98.96,99.93,101.34,98.04,98.56,96.73,92.36,87.88,79.84,82.91,87.78,89.36,91.86,92.48,93.4,89.97,83.96,82.76,82.97,81.07)
> 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,]  93.41  99.81  99.88  96.51 79.84   NA
 [2,]  93.00 101.43 102.71  96.33 82.91   NA
 [3,]  96.61 105.59 101.89  96.88 87.78   NA
 [4,]  99.69 108.86 101.93  97.59 89.36   NA
 [5,] 101.05 104.01  99.49  98.96 91.86   NA
 [6,]  98.00 101.95  99.87  99.93 92.48   NA
 [7,]  97.32 101.52 100.33 101.34 93.40   NA
 [8,]  97.83 105.61 101.50  98.04 89.97   NA
 [9,]  99.57 108.43 102.29  98.56 83.96   NA
[10,]  97.63 105.54  97.04  96.73 82.76   NA
[11,]  96.68 100.11  95.71  92.36 82.97   NA
[12,]  96.28  99.93  97.37  87.88 81.07   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/187bs1458225230.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/2q1rj1458225230.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/30o291458225230.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/42ma51458225230.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,] 93.41  82.91  96.61  97.59  98.96  98.00  93.40  97.83  98.56 96.73  92.36
[2,] 93.41  93.00  96.61  97.59  98.96  98.00  97.32  97.83  98.56 96.73  92.36
[3,] 96.51  96.33  96.88  99.69  99.49  99.87 100.33  98.04  99.57 97.04  95.71
[4,] 99.81 101.43 101.89 101.93 101.05  99.93 101.34 101.50 102.29 97.63  96.68
[5,] 99.88 102.71 105.59 101.93 104.01 101.95 101.52 105.61 102.29 97.63 100.11
     [,12]
[1,] 81.07
[2,] 87.88
[3,] 96.28
[4,] 97.37
[5,] 99.93

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

$conf
          [,1]      [,2]      [,3]      [,4]      [,5]      [,6]      [,7]
[1,]  91.98778  90.37338  93.14917  96.62337  98.01321  98.50627  97.48948
[2,] 101.03222 102.28662 100.61083 102.75663 100.96679 101.23373 103.17052
          [,8]      [,9]    [,10]   [,11]     [,12]
[1,]  95.44679  96.93439 96.40406 92.6575  89.57439
[2,] 100.63321 102.20561 97.67594 98.7625 102.98561

$out
 [1]  79.84  87.78 108.86  89.36  91.86  92.48  89.97 108.43  83.96 105.54
[11]  82.76  82.97

$group
 [1]  1  3  4  4  5  6  8  9  9 10 10 11

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

Warning message:
In bxp(list(stats = c(93.41, 93.41, 96.51, 99.81, 99.88, 82.91,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/58fpv1458225230.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,]  93.000  99.81  95.710  96.330 79.840   NA
[2,]  96.445 100.77  98.430  96.420 82.835   NA
[3,]  97.475 102.98 100.105  97.235 85.870   NA
[4,]  98.785 105.60 101.910  98.760 90.915   NA
[5,] 101.050 108.86 102.710 101.340 93.400   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]    [,2]      [,3]     [,4]     [,5] [,6]
[1,] 96.40771 100.777  98.51775 96.16771 82.18466   NA
[2,] 98.54229 105.183 101.69225 98.30229 89.55534   NA

$out
[1] 92.36 87.88

$group
[1] 4 4

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

Warning message:
In bxp(list(stats = c(93, 96.445, 97.475, 98.785, 101.05, 99.81,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/680oj1458225230.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,] 3.447451  8.120 0.90
[2,] 5.125411 13.895 2.88
[3,] 6.890372 18.335 4.17
[4,] 8.083540 19.920 5.84
[5,] 9.020946 24.470 9.49

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 5.541149 15.58696 2.819924
[2,] 8.239595 21.08304 5.520076

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(3.44745123243245, 5.12541067447439, 6.8903721478497,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/187bs1458225230.ps tmp/187bs1458225230.png",intern=TRUE))
character(0)
> try(system("convert tmp/2q1rj1458225230.ps tmp/2q1rj1458225230.png",intern=TRUE))
character(0)
> try(system("convert tmp/30o291458225230.ps tmp/30o291458225230.png",intern=TRUE))
character(0)
> try(system("convert tmp/42ma51458225230.ps tmp/42ma51458225230.png",intern=TRUE))
character(0)
> try(system("convert tmp/58fpv1458225230.ps tmp/58fpv1458225230.png",intern=TRUE))
character(0)
> try(system("convert tmp/680oj1458225230.ps tmp/680oj1458225230.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.186   0.415   2.619