R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(20.1,20.1,20.1,20.3,20.7,20.6,20.3,19.9,19.7,19.4,19.1,18.8,18.9,18.7,18.8,19.5,19.3,19.1,19.1,19,18.8,19.2,18.9,18.7,18.5,18.4,18.3,18.3,18.3,18.5,19.2,19.4,19.1,19.5,18.8,19.3,20.4,20.9,21.1,20.6,20.4,20.8,21.1,21.6,22,22.2,22.4,22.8,22.7,22.8,22.9,22.9,22.6,21.9,20.8,20.3,20.4,21.2,21.4,20.9,20,19.5,19.2,19.3,19.4,19.5,20,20.1,19.5,18.6,18.4,18.4,19.3,19.8,19.8,19.8,20.1,20.3,19.7,20.2,20.6,21,21.4,21.9)
> 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] 84
> (np <- floor(n / par1))
[1] 7
> 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] 7 7 7 7 7 7 7 7 7 7 7 7
> arr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
 [1,] 20.1 18.9 18.5 20.4 22.7 20.0 19.3   NA
 [2,] 20.1 18.7 18.4 20.9 22.8 19.5 19.8   NA
 [3,] 20.1 18.8 18.3 21.1 22.9 19.2 19.8   NA
 [4,] 20.3 19.5 18.3 20.6 22.9 19.3 19.8   NA
 [5,] 20.7 19.3 18.3 20.4 22.6 19.4 20.1   NA
 [6,] 20.6 19.1 18.5 20.8 21.9 19.5 20.3   NA
 [7,] 20.3 19.1 19.2 21.1 20.8 20.0 19.7   NA
 [8,] 19.9 19.0 19.4 21.6 20.3 20.1 20.2   NA
 [9,] 19.7 18.8 19.1 22.0 20.4 19.5 20.6   NA
[10,] 19.4 19.2 19.5 22.2 21.2 18.6 21.0   NA
[11,] 19.1 18.9 18.8 22.4 21.4 18.4 21.4   NA
[12,] 18.8 18.7 19.3 22.8 20.9 18.4 21.9   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/1axsn1386239591.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/2qt8u1386239591.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/3ae3v1386239591.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/4lrb91386239591.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,] 18.50 18.4 18.3 18.30 18.30 18.5 19.10 19.00 18.8  18.6 18.40 18.40
[2,] 19.10 19.1 19.0 19.40 19.35 19.3 19.45 19.65 19.3  19.3 18.85 18.75
[3,] 20.00 19.8 19.8 19.80 20.10 20.3 20.00 20.10 19.7  19.5 19.10 19.30
[4,] 20.25 20.5 20.6 20.45 20.55 20.7 20.55 20.25 20.5  21.1 21.40 21.40
[5,] 20.40 20.9 22.9 20.60 20.70 21.9 21.10 20.30 22.0  22.2 22.40 22.80

$n
 [1] 7 7 7 7 7 7 7 7 7 7 7 7

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]    [,7]     [,8]
[1,] 19.31324 18.96394 18.84451 19.17296 19.38338 19.46394 19.3431 19.74169
[2,] 20.68676 20.63606 20.75549 20.42704 20.81662 21.13606 20.6569 20.45831
         [,9]    [,10]    [,11]    [,12]
[1,] 18.98338 18.42507 17.57718 17.71746
[2,] 20.41662 20.57493 20.62282 20.88254

$out
[1] 22.7 22.8 22.9 22.6 21.6

$group
[1] 1 2 4 5 8

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

Warning message:
In bxp(list(stats = c(18.5, 19.1, 20, 20.25, 20.4, 18.4, 19.1, 19.8,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/52prn1386239591.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]
[1,] 18.80 18.70 18.30 20.4 20.30 18.40 19.30   NA
[2,] 19.55 18.80 18.35 20.7 20.85 18.90 19.80   NA
[3,] 20.10 18.95 18.65 21.1 21.65 19.45 20.15   NA
[4,] 20.30 19.15 19.25 22.1 22.75 19.75 20.80   NA
[5,] 20.70 19.50 19.50 22.8 22.90 20.10 21.90   NA

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

$conf
         [,1]     [,2]    [,3]     [,4]    [,5]     [,6]     [,7] [,8]
[1,] 19.75792 18.79036 18.2395 20.46145 20.7834 19.06231 19.69389   NA
[2,] 20.44208 19.10964 19.0605 21.73855 22.5166 19.83769 20.60611   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(18.8, 19.55, 20.1, 20.3, 20.7, 18.7, 18.8,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6u2d41386239591.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,] 0.7609518  2.0 0.600
[2,] 1.1194150  3.3 1.125
[3,] 1.3685715  4.1 1.300
[4,] 1.5223318  4.4 1.700
[5,] 1.7487410  4.6 2.550

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 1.184798 3.598283 1.037739
[2,] 1.552345 4.601717 1.562261

$out
[1] 2.65

$group
[1] 3

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

Warning message:
In bxp(list(stats = c(0.760951784969074, 1.11941497418885, 1.36857154949307,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1axsn1386239591.ps tmp/1axsn1386239591.png",intern=TRUE))
character(0)
> try(system("convert tmp/2qt8u1386239591.ps tmp/2qt8u1386239591.png",intern=TRUE))
character(0)
> try(system("convert tmp/3ae3v1386239591.ps tmp/3ae3v1386239591.png",intern=TRUE))
character(0)
> try(system("convert tmp/4lrb91386239591.ps tmp/4lrb91386239591.png",intern=TRUE))
character(0)
> try(system("convert tmp/52prn1386239591.ps tmp/52prn1386239591.png",intern=TRUE))
character(0)
> try(system("convert tmp/6u2d41386239591.ps tmp/6u2d41386239591.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.395   0.900   5.340