R version 3.0.1 (2013-05-16) -- "Good Sport"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(22.38,22.38,22.38,22.38,22.41,22.41,22.41,22.41,22.41,22.41,22.41,22.41,22.41,22.41,22.41,22.41,23.11,23.11,23.11,23.11,23.11,23.11,23.11,23.11,23.11,23.11,23.11,23.11,23.82,23.82,23.82,23.82,23.82,23.82,23.82,23.82,23.82,23.82,23.82,23.82,26.1,26.1,26.1,26.1,26.1,26.1,26.1,26.1,26.1,26.1,26.1,26.1,27.07,27.07,27.07,27.07,27.07,27.07,27.07,27.07,27.07,27.07,27.07,27.07,27.45,27.45,27.45,27.45,27.45,27.45,27.45,27.45)
> 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] 72
> (np <- floor(n / par1))
[1] 6
> 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] 6 6 6 6 6 6 6 6 6 6 6 6
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6] [,7]
 [1,] 22.38 22.41 23.11 23.82 26.10 27.07   NA
 [2,] 22.38 22.41 23.11 23.82 26.10 27.07   NA
 [3,] 22.38 22.41 23.11 23.82 26.10 27.07   NA
 [4,] 22.38 22.41 23.11 23.82 26.10 27.07   NA
 [5,] 22.41 23.11 23.82 26.10 27.07 27.45   NA
 [6,] 22.41 23.11 23.82 26.10 27.07 27.45   NA
 [7,] 22.41 23.11 23.82 26.10 27.07 27.45   NA
 [8,] 22.41 23.11 23.82 26.10 27.07 27.45   NA
 [9,] 22.41 23.11 23.82 26.10 27.07 27.45   NA
[10,] 22.41 23.11 23.82 26.10 27.07 27.45   NA
[11,] 22.41 23.11 23.82 26.10 27.07 27.45   NA
[12,] 22.41 23.11 23.82 26.10 27.07 27.45   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/fisher/rcomp/tmp/1cfj11369589472.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/fisher/rcomp/tmp/2rvtm1369589472.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/fisher/rcomp/tmp/3veqg1369589472.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/fisher/rcomp/tmp/479811369589472.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]
[1,] 22.380 22.380 22.380 22.380 22.41 22.41 22.41 22.41 22.41 22.41 22.41
[2,] 22.410 22.410 22.410 22.410 23.11 23.11 23.11 23.11 23.11 23.11 23.11
[3,] 23.465 23.465 23.465 23.465 24.96 24.96 24.96 24.96 24.96 24.96 24.96
[4,] 26.100 26.100 26.100 26.100 27.07 27.07 27.07 27.07 27.07 27.07 27.07
[5,] 27.070 27.070 27.070 27.070 27.45 27.45 27.45 27.45 27.45 27.45 27.45
     [,12]
[1,] 22.41
[2,] 23.11
[3,] 24.96
[4,] 27.07
[5,] 27.45

$n
 [1] 6 6 6 6 6 6 6 6 6 6 6 6

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 21.08483 21.08483 21.08483 21.08483 22.40567 22.40567 22.40567 22.40567
[2,] 25.84517 25.84517 25.84517 25.84517 27.51433 27.51433 27.51433 27.51433
         [,9]    [,10]    [,11]    [,12]
[1,] 22.40567 22.40567 22.40567 22.40567
[2,] 27.51433 27.51433 27.51433 27.51433

$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(22.38, 22.41, 23.465, 26.1, 27.07, 22.38,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/5mvwk1369589472.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]
[1,] 22.38 22.41 23.11 23.82 26.10 27.07   NA
[2,] 22.38 22.41 23.11 23.82 26.10 27.07   NA
[3,] 22.41 23.11 23.82 26.10 27.07 27.45   NA
[4,] 22.41 23.11 23.82 26.10 27.07 27.45   NA
[5,] 22.41 23.11 23.82 26.10 27.07 27.45   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]
[1,] 22.39632 22.79073 23.49616 25.06008 26.62758 27.27668   NA
[2,] 22.42368 23.42927 24.14384 27.13992 27.51242 27.62332   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(22.38, 22.38, 22.41, 22.41, 22.41, 22.41,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/667ai1369589472.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,] 1.98393 4.69 2.945
[2,] 1.98393 4.69 2.945
[3,] 2.15266 5.04 3.540
[4,] 2.15266 5.04 3.540
[5,] 2.15266 5.04 3.540

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 2.075701 4.880363 3.268617
[2,] 2.229620 5.199637 3.811383

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(1.98392960224567, 1.98392960224567, 2.15266036955825,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1cfj11369589472.ps tmp/1cfj11369589472.png",intern=TRUE))
character(0)
> try(system("convert tmp/2rvtm1369589472.ps tmp/2rvtm1369589472.png",intern=TRUE))
character(0)
> try(system("convert tmp/3veqg1369589472.ps tmp/3veqg1369589472.png",intern=TRUE))
character(0)
> try(system("convert tmp/479811369589472.ps tmp/479811369589472.png",intern=TRUE))
character(0)
> try(system("convert tmp/5mvwk1369589472.ps tmp/5mvwk1369589472.png",intern=TRUE))
character(0)
> try(system("convert tmp/667ai1369589472.ps tmp/667ai1369589472.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.274   0.668   3.926