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(95.2,95.34,95.32,96.04,99.65,100.85,108.18,108.18,103.14,99.71,99.39,98.99,98.83,99.52,99.5,99.5,99.39,101.79,106.03,105.41,104.32,101.17,99.79,100.08,100.27,101.63,101.74,103.73,103.29,105.71,107.42,107.57,105.13,103.61,102.35,102.14,104.32,104.69,106.02,104.78,106.36,109.27,113.46,113.46,110.61,104.37,103.82,104.1)
> 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] 48
> (np <- floor(n / par1))
[1] 4
> 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] 4 4 4 4 4 4 4 4 4 4 4 4
> arr
        [,1]   [,2]   [,3]   [,4] [,5]
 [1,]  95.20  98.83 100.27 104.32   NA
 [2,]  95.34  99.52 101.63 104.69   NA
 [3,]  95.32  99.50 101.74 106.02   NA
 [4,]  96.04  99.50 103.73 104.78   NA
 [5,]  99.65  99.39 103.29 106.36   NA
 [6,] 100.85 101.79 105.71 109.27   NA
 [7,] 108.18 106.03 107.42 113.46   NA
 [8,] 108.18 105.41 107.57 113.46   NA
 [9,] 103.14 104.32 105.13 110.61   NA
[10,]  99.71 101.17 103.61 104.37   NA
[11,]  99.39  99.79 102.35 103.82   NA
[12,]  98.99 100.08 102.14 104.10   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/19x5f1493130566.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/20q4y1493130566.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/3mtbk1493130566.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/4mgld1493130566.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]
[1,]  95.200  95.340  95.32  96.040  99.390 100.85 106.030 105.410 103.140
[2,]  97.015  97.430  97.41  97.770  99.520 101.32 106.725 106.490 103.730
[3,]  99.550 100.575 100.62 101.615 101.470 103.75 107.800 107.875 104.725
[4,] 102.295 103.160 103.88 104.255 104.825 107.49 110.820 110.820 107.870
[5,] 104.320 104.690 106.02 104.780 106.360 109.27 113.460 113.460 110.610
      [,10]   [,11]   [,12]
[1,]  99.71  99.390  98.990
[2,] 100.44  99.590  99.535
[3,] 102.39 101.070 101.110
[4,] 103.99 103.085 103.120
[5,] 104.37 103.820 104.100

$n
 [1] 4 4 4 4 4 4 4 4 4 4 4 4

$conf
         [,1]     [,2]     [,3]      [,4]      [,5]     [,6]     [,7]     [,8]
[1,]  95.3788  96.0483  95.5087  96.49185  97.27905  98.8757 104.5650 104.4543
[2,] 103.7212 105.1017 105.7313 106.73815 105.66095 108.6243 111.0351 111.2957
         [,9]    [,10]     [,11]     [,12]
[1,] 101.4544  99.5855  98.30895  98.27785
[2,] 107.9956 105.1945 103.83105 103.94215

$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(95.2, 97.015, 99.55, 102.295, 104.32, 95.34,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/55sep1493130566.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]
[1,]  95.200  98.830 100.27 103.820   NA
[2,]  95.690  99.500 101.94 104.345   NA
[3,]  99.520  99.935 103.45 105.400   NA
[4,] 101.995 103.055 105.42 109.940   NA
[5,] 108.180 106.030 107.57 113.460   NA

$n
[1] 12 12 12 12  0

$conf
          [,1]      [,2]     [,3]     [,4] [,5]
[1,]  96.64425  98.31354 101.8627 102.8481   NA
[2,] 102.39575 101.55646 105.0373 107.9519   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(95.2, 95.69, 99.52, 101.995, 108.18, 98.83,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/62xlx1493130566.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,] 2.111514  4.43 2.42750
[2,] 2.756292  6.04 2.64875
[3,] 3.363863  7.76 3.19375
[4,] 3.896430  8.93 4.41375
[5,] 4.463045 10.70 5.35750

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 2.843839 6.441852 2.388722
[2,] 3.883887 9.078148 3.998778

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(2.11151406972974, 2.75629224343092, 3.36386294662861,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/19x5f1493130566.ps tmp/19x5f1493130566.png",intern=TRUE))
character(0)
> try(system("convert tmp/20q4y1493130566.ps tmp/20q4y1493130566.png",intern=TRUE))
character(0)
> try(system("convert tmp/3mtbk1493130566.ps tmp/3mtbk1493130566.png",intern=TRUE))
character(0)
> try(system("convert tmp/4mgld1493130566.ps tmp/4mgld1493130566.png",intern=TRUE))
character(0)
> try(system("convert tmp/55sep1493130566.ps tmp/55sep1493130566.png",intern=TRUE))
character(0)
> try(system("convert tmp/62xlx1493130566.ps tmp/62xlx1493130566.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.865   0.442   4.559