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(19.4,19.4,19.4,19.5,19.5,19.5,28.7,28.7,28.7,21.8,21.8,21.8,20,20,20,22.6,22.6,22.6,22.4,22.4,22.4,18.6,18.6,18.6,16.2,16.2,16.2,13.8,13.8,13.8,24.1,24.1,24.1,19.9,19.9,19.9,22.3,22.3,22.3,20.9,20.9,20.9,23.5,23.5,23.5,23.1,23.1,23.1,25.7,25.7,25.7,19.7,19.7,19.7,23.1,23.1,23.1,20.7,20.7,20.7,18,18,18,16.9,16.9,16.9,24.4,24.4,24.4,15.5,15.5,15.5,18.4,18.4,18.4,16.2,16.2,16.2,20.6,20.6,20.6,19.8,19.8,19.8)
> 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,] 19.4 20.0 16.2 22.3 25.7 18.0 18.4   NA
 [2,] 19.4 20.0 16.2 22.3 25.7 18.0 18.4   NA
 [3,] 19.4 20.0 16.2 22.3 25.7 18.0 18.4   NA
 [4,] 19.5 22.6 13.8 20.9 19.7 16.9 16.2   NA
 [5,] 19.5 22.6 13.8 20.9 19.7 16.9 16.2   NA
 [6,] 19.5 22.6 13.8 20.9 19.7 16.9 16.2   NA
 [7,] 28.7 22.4 24.1 23.5 23.1 24.4 20.6   NA
 [8,] 28.7 22.4 24.1 23.5 23.1 24.4 20.6   NA
 [9,] 28.7 22.4 24.1 23.5 23.1 24.4 20.6   NA
[10,] 21.8 18.6 19.9 23.1 20.7 15.5 19.8   NA
[11,] 21.8 18.6 19.9 23.1 20.7 15.5 19.8   NA
[12,] 21.8 18.6 19.9 23.1 20.7 15.5 19.8   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/1o8591385552027.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/23gli1385552027.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/3c3qv1385552027.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/4xxmm1385552027.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,] 16.20 16.20 16.20 13.80 13.80 13.80 20.60 20.60 20.60 18.60 18.60 18.60
[2,] 18.20 18.20 18.20 16.55 16.55 16.55 22.75 22.75 22.75 19.20 19.20 19.20
[3,] 19.40 19.40 19.40 19.50 19.50 19.50 23.50 23.50 23.50 19.90 19.90 19.90
[4,] 21.15 21.15 21.15 20.30 20.30 20.30 24.25 24.25 24.25 21.25 21.25 21.25
[5,] 22.30 22.30 22.30 22.60 22.60 22.60 24.40 24.40 24.40 23.10 23.10 23.10

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 17.63831 17.63831 17.63831 17.26056 17.26056 17.26056 22.60422 22.60422
[2,] 21.16169 21.16169 21.16169 21.73944 21.73944 21.73944 24.39578 24.39578
         [,9]    [,10]    [,11]    [,12]
[1,] 22.60422 18.67577 18.67577 18.67577
[2,] 24.39578 21.12423 21.12423 21.12423

$out
[1] 25.7 25.7 25.7 28.7 28.7 28.7 15.5 15.5 15.5

$group
[1]  1  2  3  7  8  9 10 11 12

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

Warning message:
In bxp(list(stats = c(16.2, 18.2, 19.4, 21.15, 22.3, 16.2, 18.2,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5rp4l1385552027.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,] 19.40 18.6 13.80 20.9 19.7 15.50 16.2   NA
[2,] 19.45 19.3 15.00 21.6 20.2 16.20 17.3   NA
[3,] 20.65 21.2 18.05 22.7 21.9 17.45 19.1   NA
[4,] 25.25 22.5 22.00 23.3 24.4 21.20 20.2   NA
[5,] 28.70 22.6 24.10 23.5 25.7 24.40 20.6   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7] [,8]
[1,] 18.00458 19.74046 14.85725 21.92462 19.98435 15.16947 17.77729   NA
[2,] 23.29542 22.65954 21.24275 23.47538 23.81565 19.73053 20.42271   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(19.4, 19.45, 20.65, 25.25, 28.7, 18.6, 19.3,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6jsgs1385552027.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,] 2.434083 7.60 1.500
[2,] 2.462605 7.85 1.775
[3,] 2.758681 8.45 2.500
[4,] 3.082884 9.15 3.350
[5,] 3.139533 9.50 3.750

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 2.475768 7.857061 1.781632
[2,] 3.041594 9.042939 3.218368

$out
numeric(0)

$group
numeric(0)

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

> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1o8591385552027.ps tmp/1o8591385552027.png",intern=TRUE))
character(0)
> try(system("convert tmp/23gli1385552027.ps tmp/23gli1385552027.png",intern=TRUE))
character(0)
> try(system("convert tmp/3c3qv1385552027.ps tmp/3c3qv1385552027.png",intern=TRUE))
character(0)
> try(system("convert tmp/4xxmm1385552027.ps tmp/4xxmm1385552027.png",intern=TRUE))
character(0)
> try(system("convert tmp/5rp4l1385552027.ps tmp/5rp4l1385552027.png",intern=TRUE))
character(0)
> try(system("convert tmp/6jsgs1385552027.ps tmp/6jsgs1385552027.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.091   0.915   4.982