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(91.04,91.37,91.36,91.4,91.54,91.57,91.57,91.47,91.55,91.71,91.71,92.12,93.28,94.02,94.26,94.19,94.34,94.62,94.9,96.08,96.85,96.61,96.47,96.68,96.43,96.35,96.14,95.39,95.08,94.86,94.8,95.62,96.35,96.77,96.97,96.78,97.71,98.04,98.41,100.05,100.9,100.61,100.71,100.06,100.57,101.03,100.93,100.98,100.46,101.52,101.29,101.84,102.03,101.72,102.23,102.38,102.5,101.5,101.96,101.61)
> 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,] 91.04 93.28 96.43  97.71 100.46   NA
 [2,] 91.37 94.02 96.35  98.04 101.52   NA
 [3,] 91.36 94.26 96.14  98.41 101.29   NA
 [4,] 91.40 94.19 95.39 100.05 101.84   NA
 [5,] 91.54 94.34 95.08 100.90 102.03   NA
 [6,] 91.57 94.62 94.86 100.61 101.72   NA
 [7,] 91.57 94.90 94.80 100.71 102.23   NA
 [8,] 91.47 96.08 95.62 100.06 102.38   NA
 [9,] 91.55 96.85 96.35 100.57 102.50   NA
[10,] 91.71 96.61 96.77 101.03 101.50   NA
[11,] 91.71 96.47 96.97 100.93 101.96   NA
[12,] 92.12 96.68 96.78 100.98 101.61   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/1ksvu1447789225.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/2q8re1447789225.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/371qn1447789225.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/4bnb91447789225.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,]  91.04  91.37  91.36  91.40  91.54  91.57  91.57  91.47  91.55  91.71
[2,]  93.28  94.02  94.26  94.19  94.34  94.62  94.80  95.62  96.35  96.61
[3,]  96.43  96.35  96.14  95.39  95.08  94.86  94.90  96.08  96.85  96.77
[4,]  97.71  98.04  98.41 100.05 100.90 100.61 100.71 100.06 100.57 101.03
[5,] 100.46 101.52 101.29 101.84 102.03 101.72 102.23 102.38 102.50 101.50
      [,11]  [,12]
[1,]  91.71  92.12
[2,]  96.47  96.68
[3,]  96.97  96.78
[4,] 100.93 100.98
[5,] 101.96 101.61

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 93.29977 93.50948 93.20762 91.24934 90.44472 90.62748 90.72401 92.94271
[2,] 99.56023 99.19052 99.07238 99.53066 99.71528 99.09252 99.07599 99.21729
         [,9]    [,10]     [,11]    [,12]
[1,] 93.86816 93.64684  93.81858 93.74163
[2,] 99.83184 99.89316 100.12142 99.81837

$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(91.04, 93.28, 96.43, 97.71, 100.46, 91.37,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5h85m1447789225.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,] 91.040 93.280 94.800  97.710 101.29   NA
[2,] 91.385 94.225 95.235  99.230 101.51   NA
[3,] 91.545 94.760 96.245 100.590 101.78   NA
[4,] 91.640 96.540 96.600 100.915 102.13   NA
[5,] 91.710 96.850 96.970 101.030 102.50   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]     [,2]     [,3]      [,4]     [,5] [,6]
[1,] 91.42869 93.70411 95.62241  99.82146 101.4972   NA
[2,] 91.66131 95.81589 96.86759 101.35854 102.0628   NA

$out
[1]  92.12 100.46

$group
[1] 1 5

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

Warning message:
In bxp(list(stats = c(91.04, 91.385, 91.545, 91.64, 91.71, 93.28,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/62b8q1447789225.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,] 3.700247  9.420 4.020
[2,] 3.853904  9.860 4.260
[3,] 4.152847 10.200 4.435
[4,] 4.303810 10.575 5.885
[5,] 4.495500 10.950 6.560

$n
[1] 12 12 12

$conf
         [,1]      [,2]     [,3]
[1,] 3.947642  9.873884 3.693827
[2,] 4.358052 10.526116 5.176173

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(3.70024728903353, 3.85390404966686, 4.15284683015548,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1ksvu1447789225.ps tmp/1ksvu1447789225.png",intern=TRUE))
character(0)
> try(system("convert tmp/2q8re1447789225.ps tmp/2q8re1447789225.png",intern=TRUE))
character(0)
> try(system("convert tmp/371qn1447789225.ps tmp/371qn1447789225.png",intern=TRUE))
character(0)
> try(system("convert tmp/4bnb91447789225.ps tmp/4bnb91447789225.png",intern=TRUE))
character(0)
> try(system("convert tmp/5h85m1447789225.ps tmp/5h85m1447789225.png",intern=TRUE))
character(0)
> try(system("convert tmp/62b8q1447789225.ps tmp/62b8q1447789225.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.479   0.469   2.977