R version 3.2.2 (2015-08-14) -- "Fire Safety"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(103.4,103.49,103.51,103.27,103.35,103.34,103.07,103.08,103.1,103.13,103.13,103.18,103.2,103.21,103,102.46,102.52,102.55,102.78,102.81,102.81,102.68,102.72,102.73,102.87,102.93,103.2,102.62,102.18,101.19,100.91,100.72,100.86,100.89,100.47,100.45,100.64,100.63,100.66,100.38,99.68,99.71,99.63,99.63,99.71,99.77,99.76,99.79,98.13,98.13,97.87,97.72,97.72,97.6,97.31,97.31,97.44,96.94,96.94,96.94)
> 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,] 103.40 103.20 102.87 100.64 98.13   NA
 [2,] 103.49 103.21 102.93 100.63 98.13   NA
 [3,] 103.51 103.00 103.20 100.66 97.87   NA
 [4,] 103.27 102.46 102.62 100.38 97.72   NA
 [5,] 103.35 102.52 102.18  99.68 97.72   NA
 [6,] 103.34 102.55 101.19  99.71 97.60   NA
 [7,] 103.07 102.78 100.91  99.63 97.31   NA
 [8,] 103.08 102.81 100.72  99.63 97.31   NA
 [9,] 103.10 102.81 100.86  99.71 97.44   NA
[10,] 103.13 102.68 100.89  99.77 96.94   NA
[11,] 103.13 102.72 100.47  99.76 96.94   NA
[12,] 103.18 102.73 100.45  99.79 96.94   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/17t8k1447703438.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/2gzon1447703438.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/3e0qx1447703438.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/4lmkz1447703438.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,]  98.13  98.13  97.87  97.72  97.72  97.60  97.31  97.31  97.44  96.94
[2,] 100.64 100.63 100.66 100.38  99.68  99.71  99.63  99.63  99.71  99.77
[3,] 102.87 102.93 103.00 102.46 102.18 101.19 100.91 100.72 100.86 100.89
[4,] 103.20 103.21 103.20 102.62 102.52 102.55 102.78 102.81 102.81 102.68
[5,] 103.40 103.49 103.51 103.27 103.35 103.34 103.07 103.08 103.10 103.13
      [,11]  [,12]
[1,]  96.94  96.94
[2,]  99.76  99.79
[3,] 100.47 100.45
[4,] 102.72 102.73
[5,] 103.13 103.18

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

$conf
         [,1]    [,2]     [,3]     [,4]     [,5]      [,6]      [,7]      [,8]
[1,] 101.0611 101.107 101.2052 100.8772 100.1733  99.18326  98.68422  98.47302
[2,] 104.6789 104.753 104.7948 104.0428 104.1867 103.19674 103.13578 102.96698
          [,9]    [,10]     [,11]    [,12]
[1,]  98.66955  98.8338  98.37847  98.3726
[2,] 103.05045 102.9462 102.56153 102.5274

$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(98.13, 100.64, 102.87, 103.2, 103.4, 98.13,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5bqhb1447703438.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,] 103.070 102.460 100.450  99.630 96.940   NA
[2,] 103.115 102.615 100.790  99.695 97.125   NA
[3,] 103.225 102.755 101.050  99.765 97.520   NA
[4,] 103.375 102.905 102.745 100.505 97.795   NA
[5,] 103.510 103.210 103.200 100.660 98.130   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]     [,2]     [,3]      [,4]     [,5] [,6]
[1,] 103.1064 102.6227 100.1583  99.39555 97.21441   NA
[2,] 103.3436 102.8873 101.9417 100.13445 97.82559   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(103.07, 103.115, 103.225, 103.375, 103.51,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6ts001447703438.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,] 2.256318 5.27 2.240
[2,] 2.289874 5.59 2.570
[3,] 2.356450 5.70 2.875
[4,] 2.444287 5.98 3.030
[5,] 2.513259 6.24 3.180

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 2.286021 5.522118 2.665191
[2,] 2.426879 5.877882 3.084809

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(2.25631779676534, 2.28987358247451, 2.35645022972907,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/17t8k1447703438.ps tmp/17t8k1447703438.png",intern=TRUE))
character(0)
> try(system("convert tmp/2gzon1447703438.ps tmp/2gzon1447703438.png",intern=TRUE))
character(0)
> try(system("convert tmp/3e0qx1447703438.ps tmp/3e0qx1447703438.png",intern=TRUE))
character(0)
> try(system("convert tmp/4lmkz1447703438.ps tmp/4lmkz1447703438.png",intern=TRUE))
character(0)
> try(system("convert tmp/5bqhb1447703438.ps tmp/5bqhb1447703438.png",intern=TRUE))
character(0)
> try(system("convert tmp/6ts001447703438.ps tmp/6ts001447703438.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.375   0.469   2.857