R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(2,2.2,1.9,2.3,2.2,2.3,2.1,2.4,2.3,1.9,1.6,1.8,1.8,2,2.3,2.2,2.2,2,2,1.9,1.5,1.6,1.5,2,1.5,1.5,1.9,1.1,1.5,2.1,2.3,2.6,2.9,3.2,3.2,3.1,3,3.3,2.7,3.6,3.1,2.7,2.6,2.2,2.7,2.1,1.8,1.7,1.7,1.2,1.2,1.2,1.5,1.3,1.1,1.2,1.3,1.6,1.9,1.6,2.1,2.2,2.3,2.1,1.7,1.7,2.2,2,1.5,1.5,1.7,2.2,2.6,2.6,2.3,2.3,2.7,2.7,2.5,2.5,2.7,2.6,2.6,2.4,1.4,1.8,2.1,1.7,1.6,1.7,1.8,2,1.9,2,2.1,2.3)
> 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] 96
> (np <- floor(n / par1))
[1] 8
> 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] 8 8 8 8 8 8 8 8 8 8 8 8
> arr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
 [1,]  2.0  1.8  1.5  3.0  1.7  2.1  2.6  1.4   NA
 [2,]  2.2  2.0  1.5  3.3  1.2  2.2  2.6  1.8   NA
 [3,]  1.9  2.3  1.9  2.7  1.2  2.3  2.3  2.1   NA
 [4,]  2.3  2.2  1.1  3.6  1.2  2.1  2.3  1.7   NA
 [5,]  2.2  2.2  1.5  3.1  1.5  1.7  2.7  1.6   NA
 [6,]  2.3  2.0  2.1  2.7  1.3  1.7  2.7  1.7   NA
 [7,]  2.1  2.0  2.3  2.6  1.1  2.2  2.5  1.8   NA
 [8,]  2.4  1.9  2.6  2.2  1.2  2.0  2.5  2.0   NA
 [9,]  2.3  1.5  2.9  2.7  1.3  1.5  2.7  1.9   NA
[10,]  1.9  1.6  3.2  2.1  1.6  1.5  2.6  2.0   NA
[11,]  1.6  1.5  3.2  1.8  1.9  1.7  2.6  2.1   NA
[12,]  1.8  2.0  3.1  1.7  1.6  2.2  2.4  2.3   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/1jgdv1426159801.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/27i781426159801.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/3oeg71426159801.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/4obmf1426159801.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,] 1.40 1.20  1.9 1.10 1.50 1.30 1.80 1.20  1.3  1.50  1.50  1.60
[2,] 1.60 1.65  1.9 1.45 1.55 1.70 1.90 1.95  1.5  1.60  1.65  1.75
[3,] 1.90 2.10  2.2 2.15 1.95 2.05 2.15 2.10  2.1  1.95  1.85  2.10
[4,] 2.35 2.40  2.3 2.30 2.45 2.50 2.40 2.45  2.7  2.35  2.35  2.35
[5,] 3.00 3.30  2.7 2.30 3.10 2.70 2.60 2.60  2.9  3.20  3.20  3.10

$n
 [1] 8 8 8 8 8 8 8 8 8 8 8 8

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 1.481039 1.681039 1.976554 1.675178 1.447247 1.603109 1.870693 1.820693
[2,] 2.318961 2.518961 2.423446 2.624822 2.452753 2.496891 2.429307 2.379307
         [,9]    [,10]   [,11]    [,12]
[1,] 1.429663 1.531039 1.45897 1.764831
[2,] 2.770337 2.368961 2.24103 2.435169

$out
[1] 1.2 3.6 1.1

$group
[1] 3 4 7

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

Warning message:
In bxp(list(stats = c(1.4, 1.6, 1.9, 2.35, 3, 1.2, 1.65, 2.1, 2.4,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5d5ut1426159801.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]
[1,] 1.60  1.5  1.1 1.70  1.1 1.50 2.30 1.40   NA
[2,] 1.90  1.7  1.5 2.15  1.2 1.70 2.45 1.70   NA
[3,] 2.15  2.0  2.2 2.70  1.3 2.05 2.60 1.85   NA
[4,] 2.30  2.1  3.0 3.05  1.6 2.20 2.65 2.05   NA
[5,] 2.40  2.3  3.2 3.60  1.9 2.30 2.70 2.30   NA

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

$conf
         [,1]     [,2]    [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 1.967557 1.817557 1.51584 2.289504 1.117557 1.821947 2.508779 1.690363
[2,] 2.332443 2.182443 2.88416 3.110496 1.482443 2.278053 2.691221 2.009637
     [,9]
[1,]   NA
[2,]   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(1.6, 1.9, 2.15, 2.3, 2.4, 1.5, 1.7, 2, 2.1,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6xwsr1426159801.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,] 0.4421942  1.4 0.4000
[2,] 0.4775833  1.5 0.5000
[3,] 0.5635185  1.6 0.5750
[4,] 0.6149602  1.7 0.7125
[5,] 0.7836499  1.7 0.7500

$n
[1] 12 12 12

$conf
          [,1]     [,2]      [,3]
[1,] 0.5008599 1.508779 0.4780773
[2,] 0.6261770 1.691221 0.6719227

$out
[1] 2.1 2.5 1.2

$group
[1] 2 2 3

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

Warning message:
In bxp(list(stats = c(0.442194204265178, 0.477583265708813, 0.563518463499081,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1jgdv1426159801.ps tmp/1jgdv1426159801.png",intern=TRUE))
character(0)
> try(system("convert tmp/27i781426159801.ps tmp/27i781426159801.png",intern=TRUE))
character(0)
> try(system("convert tmp/3oeg71426159801.ps tmp/3oeg71426159801.png",intern=TRUE))
character(0)
> try(system("convert tmp/4obmf1426159801.ps tmp/4obmf1426159801.png",intern=TRUE))
character(0)
> try(system("convert tmp/5d5ut1426159801.ps tmp/5d5ut1426159801.png",intern=TRUE))
character(0)
> try(system("convert tmp/6xwsr1426159801.ps tmp/6xwsr1426159801.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.306   0.389   2.713