R version 3.2.4 (2016-03-10) -- "Very Secure Dishes"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(96.44,96.35,96.4,96.66,96.95,97.14,97.27,97.34,97.42,97.47,97.29,97.36,97.47,97.48,97.84,97.9,97.53,97.61,97.73,97.76,97.87,97.85,98.13,98.21,98.3,98.34,98.38,98.42,98.16,98.18,98.22,98.29,98.45,98.54,98.54,98.78,98.84,99.14,99.2,99.33,98.56,98.65,98.77,98.82,98.9,98.89,98.9,99.07,99.09,99.12,99.03,99,99.21,99.35,99.37,99.39,99.41,99.43,99.6,99.73,99.78,99.8,99.88,99.74,100.15,100.27,100.26,100.36,100.37,100.54,99.8,99.82,99.82,99.82,99.67,99.78,99.44,99.61,99.71,99.71,99.77,99.77,99.89,99.96,100.02,100,100.04,99.99,99.97,99.77,99.93,99.9,100.01,100.08,100.21,100.28,100.48,100.72,100.74,100.88,101.03,101.47,101.46,101.46,101.45,101.74,102.41,102.54,102.67,102.87,102.9,102.88,102.82,102.94,102.97,103.01,103.11,103.21,104.66,104.79)
> 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] 120
> (np <- floor(n / par1))
[1] 10
> 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] 10 10 10 10 10 10 10 10 10 10 10 10
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]   [,6]  [,7]   [,8]   [,9]  [,10] [,11]
 [1,] 96.44 97.47 98.30 98.84 99.09  99.78 99.82 100.02 100.48 102.67    NA
 [2,] 96.35 97.48 98.34 99.14 99.12  99.80 99.82 100.00 100.72 102.87    NA
 [3,] 96.40 97.84 98.38 99.20 99.03  99.88 99.67 100.04 100.74 102.90    NA
 [4,] 96.66 97.90 98.42 99.33 99.00  99.74 99.78  99.99 100.88 102.88    NA
 [5,] 96.95 97.53 98.16 98.56 99.21 100.15 99.44  99.97 101.03 102.82    NA
 [6,] 97.14 97.61 98.18 98.65 99.35 100.27 99.61  99.77 101.47 102.94    NA
 [7,] 97.27 97.73 98.22 98.77 99.37 100.26 99.71  99.93 101.46 102.97    NA
 [8,] 97.34 97.76 98.29 98.82 99.39 100.36 99.71  99.90 101.46 103.01    NA
 [9,] 97.42 97.87 98.45 98.90 99.41 100.37 99.77 100.01 101.45 103.11    NA
[10,] 97.47 97.85 98.54 98.89 99.43 100.54 99.77 100.08 101.74 103.21    NA
[11,] 97.29 98.13 98.54 98.90 99.60  99.80 99.89 100.21 102.41 104.66    NA
[12,] 97.36 98.21 98.78 99.07 99.73  99.82 99.96 100.28 102.54 104.79    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/1wsd31458316418.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/23m071458316418.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/3jutp1458316418.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/44onc1458316418.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,]  96.440  96.35  96.400  96.660  96.950  97.14  97.27  97.34  97.42  97.47
[2,]  98.300  98.34  98.380  98.420  98.160  98.18  98.22  98.29  98.45  98.54
[3,]  99.435  99.47  99.435  99.535  99.325  99.48  99.54  99.55  99.59  99.60
[4,] 100.020 100.00 100.040  99.990 100.150 100.27 100.26 100.36 100.37 100.54
[5,] 100.480 100.72 100.740 100.880 102.820 102.94 102.97 103.01 103.11 103.21
      [,11]   [,12]
[1,]  97.29  97.360
[2,]  98.54  98.780
[3,]  99.70  99.775
[4,] 100.21 100.280
[5,] 102.41 100.280

$n
 [1] 10 10 10 10 10 10 10 10 10 10 10 10

$conf
          [,1]     [,2]     [,3]      [,4]      [,5]      [,6]      [,7]
[1,]  98.57562  98.6406  98.6056  98.75057  98.33072  98.43575  98.52073
[2,] 100.29438 100.2994 100.2644 100.31943 100.31928 100.52425 100.55927
          [,8]      [,9]     [,10]    [,11]     [,12]
[1,]  98.51575  98.63069  98.60072  98.8656  99.02554
[2,] 100.58425 100.54931 100.59928 100.5344 100.52446

$out
[1] 102.67 102.87 102.90 102.88 104.66 102.54 104.79

$group
[1]  1  2  3  4 11 12 12

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

Warning message:
In bxp(list(stats = c(96.44, 98.3, 99.435, 100.02, 100.48, 96.35,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5c6nq1458316418.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]    [,8]    [,9]   [,10]
[1,] 96.350 97.470 98.160 98.560 99.000  99.740 99.61  99.900 100.480 102.670
[2,] 96.550 97.570 98.255 98.795 99.105  99.800 99.69  99.950 100.810 102.875
[3,] 97.205 97.800 98.360 98.895 99.360 100.015 99.77 100.005 101.455 102.955
[4,] 97.350 97.885 98.495 99.105 99.420 100.315 99.82 100.060 101.605 103.160
[5,] 97.470 98.210 98.780 99.330 99.730 100.540 99.96 100.210 102.540 103.210
     [,11]
[1,]    NA
[2,]    NA
[3,]    NA
[4,]    NA
[5,]    NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]      [,6]     [,7]      [,8]
[1,] 96.84011 97.65633 98.25053 98.75361 99.21633  99.78011 99.71071  99.95483
[2,] 97.56989 97.94367 98.46947 99.03639 99.50367 100.24989 99.82929 100.05517
         [,9]   [,10] [,11]
[1,] 101.0924 102.825    NA
[2,] 101.8176 103.085    NA

$out
[1]  99.44  99.77 100.28 104.66 104.79

$group
[1]  7  8  8 10 10

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

Warning message:
In bxp(list(stats = c(96.35, 96.55, 97.205, 97.35, 97.47, 97.47,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/690731458316418.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,] 1.691750 5.670 1.34750
[2,] 1.718864 5.720 1.43875
[3,] 1.738866 6.045 1.62625
[4,] 1.775521 6.510 1.82125
[5,] 1.786531 7.430 1.84750

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 1.713025 5.684676 1.451789
[2,] 1.764708 6.405324 1.800711

$out
[1] 2.158446 2.162273

$group
[1] 1 1

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

Warning message:
In bxp(list(stats = c(1.69174991584979, 1.71886432176492, 1.73886645316798,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1wsd31458316418.ps tmp/1wsd31458316418.png",intern=TRUE))
character(0)
> try(system("convert tmp/23m071458316418.ps tmp/23m071458316418.png",intern=TRUE))
character(0)
> try(system("convert tmp/3jutp1458316418.ps tmp/3jutp1458316418.png",intern=TRUE))
character(0)
> try(system("convert tmp/44onc1458316418.ps tmp/44onc1458316418.png",intern=TRUE))
character(0)
> try(system("convert tmp/5c6nq1458316418.ps tmp/5c6nq1458316418.png",intern=TRUE))
character(0)
> try(system("convert tmp/690731458316418.ps tmp/690731458316418.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.246   0.352   2.619