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(70.3,90.2,107.3,104.6,102.7,124.5,117.8,104.2,99.9,91.5,95.7,91.4,86.2,91.5,115.5,113.9,131.9,121.2,105.2,107.5,113.8,100.5,104.8,103.8,93.1,106.2,117.5,109.9,123.6,139.3,111,122,110.9,108,103.7,107.3,92,83.4,110.7,109,121.3,121.4,129.9,109.7,113.1,109.4,101,109,92.8,91.1,114.5,118.6,120.2,135.9,122.8,106,118.1,108.9,97.3,113.9,88.3,88.3,114.6,118.8,111.9,130.1,124.3,112.2,110,105.8,105.1,106.7)
> 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] 72
> (np <- floor(n / par1))
[1] 6
> 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 6 6 6 6 6 6 6 6 6 6
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6] [,7]
 [1,]  70.3  86.2  93.1  92.0  92.8  88.3   NA
 [2,]  90.2  91.5 106.2  83.4  91.1  88.3   NA
 [3,] 107.3 115.5 117.5 110.7 114.5 114.6   NA
 [4,] 104.6 113.9 109.9 109.0 118.6 118.8   NA
 [5,] 102.7 131.9 123.6 121.3 120.2 111.9   NA
 [6,] 124.5 121.2 139.3 121.4 135.9 130.1   NA
 [7,] 117.8 105.2 111.0 129.9 122.8 124.3   NA
 [8,] 104.2 107.5 122.0 109.7 106.0 112.2   NA
 [9,]  99.9 113.8 110.9 113.1 118.1 110.0   NA
[10,]  91.5 100.5 108.0 109.4 108.9 105.8   NA
[11,]  95.7 104.8 103.7 101.0  97.3 105.1   NA
[12,]  91.4 103.8 107.3 109.0 113.9 106.7   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/1ehsa1492785487.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/27j4x1492785487.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/39lfl1492785487.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/4ygns1492785487.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] [,12]
[1,] 86.20 88.30 107.30 104.6 102.70 121.2 105.2 104.2 110.0  91.5  95.70 103.8
[2,] 86.20 88.30 110.70 109.0 111.90 121.4 111.0 106.0 110.0 100.5  97.30 103.8
[3,] 90.15 90.65 114.55 111.9 120.75 127.3 120.3 108.6 112.0 106.9 102.35 107.0
[4,] 92.80 91.50 115.50 118.6 123.60 135.9 124.3 112.2 113.8 108.9 104.80 109.0
[5,] 93.10 91.50 117.50 118.8 131.90 139.3 129.9 112.2 118.1 109.4 105.10 113.9

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

$conf
         [,1]    [,2]     [,3]     [,4]     [,5]    [,6]     [,7]     [,8]
[1,] 85.89279 88.5859 111.4538 105.7077 113.2031 117.947 111.7211 104.6008
[2,] 94.40721 92.7141 117.6462 118.0923 128.2969 136.653 128.8789 112.5992
         [,9]    [,10]     [,11]    [,12]
[1,] 109.5489 101.4817  97.51226 103.6458
[2,] 114.4511 112.3183 107.18774 110.3542

$out
[1]  70.3 106.2  83.4 122.0  99.9  91.4

$group
[1]  1  2  2  8  9 12

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

Warning message:
In bxp(list(stats = c(86.2, 86.2, 90.15, 92.8, 93.1, 88.3, 88.3,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5wkjh1492785487.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] [,7]
[1,]  70.30  86.20  93.10  92.00  91.10 105.10   NA
[2,]  91.45 102.15 106.75 105.00 101.65 105.45   NA
[3,] 101.30 106.35 110.40 109.55 114.20 110.95   NA
[4,] 105.95 114.70 119.75 117.20 119.40 116.70   NA
[5,] 124.50 131.90 123.60 129.90 135.90 130.10   NA

$n
[1] 12 12 12 12 12 12  0

$conf
          [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]
[1,]  94.68645 100.6259 104.4706 103.9855 106.1041 105.8188   NA
[2,] 107.91355 112.0741 116.3294 115.1145 122.2959 116.0812   NA

$out
[1] 139.3  83.4  88.3  88.3

$group
[1] 3 4 6 6

$names
[1] "1" "2" "3" "4" "5" "6" NA 

Warning message:
In bxp(list(stats = c(70.3, 91.45, 101.3, 105.95, 124.5, 86.2, 102.15,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6ajf91492785487.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,]  3.697432  9.40  2.6250
[2,]  5.887583 16.00  3.8375
[3,]  7.272328 18.15  6.0875
[4,]  8.171300 22.80  8.6250
[5,] 10.093959 29.20 12.2750

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 6.230710 15.04847 3.903889
[2,] 8.313947 21.25153 8.271111

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(3.69743154094839, 5.88758322609975, 7.27232801692229,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1ehsa1492785487.ps tmp/1ehsa1492785487.png",intern=TRUE))
character(0)
> try(system("convert tmp/27j4x1492785487.ps tmp/27j4x1492785487.png",intern=TRUE))
character(0)
> try(system("convert tmp/39lfl1492785487.ps tmp/39lfl1492785487.png",intern=TRUE))
character(0)
> try(system("convert tmp/4ygns1492785487.ps tmp/4ygns1492785487.png",intern=TRUE))
character(0)
> try(system("convert tmp/5wkjh1492785487.ps tmp/5wkjh1492785487.png",intern=TRUE))
character(0)
> try(system("convert tmp/6ajf91492785487.ps tmp/6ajf91492785487.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.595   0.355   4.181