R version 3.3.3 (2017-03-06) -- "Another Canoe"
Copyright (C) 2017 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(92.76,93.12,93.6,93.24,93.4,93.32,93.13,93.19,93.84,94.01,93.78,93.47,93.6,92.85,92.91,92.29,92.5,93.1,92.86,93.19,93.73,93.88,93.85,93.45,93.43,93.59,95.28,94.95,94.49,94.45,94.35,95.52,96.89,97.54,97.65,97.35,98.2,99.46,100.35,99.72,99.69,99.62,99.77,100.19,100.82,100.36,101.08,100.73,101.51,102.12,102.88,103.47,103.53,103.67,103.68,103.76,103.67,103.01,103.39,103.43,103.4,104.8)
> 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] 62
> (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] 6 6 5 5 5 5 5 5 5 5 5 5
> arr
       [,1]  [,2]  [,3]   [,4]   [,5]  [,6]
 [1,] 92.76 93.60 93.43  98.20 101.51 103.4
 [2,] 93.12 92.85 93.59  99.46 102.12 104.8
 [3,] 93.60 92.91 95.28 100.35 102.88    NA
 [4,] 93.24 92.29 94.95  99.72 103.47    NA
 [5,] 93.40 92.50 94.49  99.69 103.53    NA
 [6,] 93.32 93.10 94.45  99.62 103.67    NA
 [7,] 93.13 92.86 94.35  99.77 103.68    NA
 [8,] 93.19 93.19 95.52 100.19 103.76    NA
 [9,] 93.84 93.73 96.89 100.82 103.67    NA
[10,] 94.01 93.88 97.54 100.36 103.01    NA
[11,] 93.78 93.85 97.65 101.08 103.39    NA
[12,] 93.47 93.45 97.35 100.73 103.43    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/1awym1492957314.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/2kjuu1492957314.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/3ad2s1492957314.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/4uhnp1492957314.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,]  92.76  92.850  92.91  92.29  92.50  93.10  92.86  93.19  93.73  93.88
[2,]  93.43  93.120  93.60  93.24  93.40  93.32  93.13  93.19  93.84  94.01
[3,]  95.90  96.525  95.28  94.95  94.49  94.45  94.35  95.52  96.89  97.54
[4,] 101.51 102.120 100.35  99.72  99.69  99.62  99.77 100.19 100.82 100.36
[5,] 103.40 104.800 102.88 103.47 103.53 103.67 103.68 103.76 103.67 103.01
      [,11]  [,12]
[1,]  93.78  93.45
[2,]  93.85  93.47
[3,]  97.65  97.35
[4,] 101.08 100.73
[5,] 103.39 103.43

$n
 [1] 6 6 5 5 5 5 5 5 5 5 5 5

$conf
          [,1]      [,2]      [,3]     [,4]    [,5]     [,6]     [,7]      [,8]
[1,]  90.68814  90.71971  90.51047 90.37125 90.0455 89.99844 89.65819  90.57382
[2,] 101.11186 102.33029 100.04953 99.52875 98.9345 98.90156 99.04181 100.46618
          [,9]     [,10]    [,11]    [,12]
[1,]  91.95795  93.05311  92.5413  92.2201
[2,] 101.82205 102.02689 102.7587 102.4799

$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(92.76, 93.43, 95.9, 101.51, 103.4, 92.85,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/52stb1492957314.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,] 92.76 92.290 93.430  99.460 102.120 103.4
[2,] 93.16 92.855 94.400  99.655 102.945 103.4
[3,] 93.36 93.145 95.115  99.980 103.450 104.1
[4,] 93.69 93.665 97.120 100.545 103.670 104.8
[5,] 94.01 93.880 97.650 101.080 103.760 104.8

$n
[1] 12 12 12 12 12  2

$conf
         [,1]     [,2]     [,3]      [,4]     [,5]     [,6]
[1,] 93.11826 92.77555 93.87439  99.57407 103.1193 102.5359
[2,] 93.60174 93.51445 96.35561 100.38593 103.7807 105.6641

$out
[1]  98.20 101.51

$group
[1] 4 5

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

Warning message:
In bxp(list(stats = c(92.76, 93.16, 93.36, 93.69, 94.01, 92.29,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6bzz81492957314.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,] 3.983962  9.130 6.2900
[2,] 4.383128  9.955 6.4150
[3,] 4.614753 10.570 6.8650
[4,] 4.722686 10.925 7.2200
[5,] 5.185050 11.950 8.2175

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 4.459878 10.12758 6.497834
[2,] 4.769628 11.01242 7.232166

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(3.98396159620045, 4.38312773815076, 4.61475304962691,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1awym1492957314.ps tmp/1awym1492957314.png",intern=TRUE))
character(0)
> try(system("convert tmp/2kjuu1492957314.ps tmp/2kjuu1492957314.png",intern=TRUE))
character(0)
> try(system("convert tmp/3ad2s1492957314.ps tmp/3ad2s1492957314.png",intern=TRUE))
character(0)
> try(system("convert tmp/4uhnp1492957314.ps tmp/4uhnp1492957314.png",intern=TRUE))
character(0)
> try(system("convert tmp/52stb1492957314.ps tmp/52stb1492957314.png",intern=TRUE))
character(0)
> try(system("convert tmp/6bzz81492957314.ps tmp/6bzz81492957314.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.502   0.369   2.915