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(79.26,79.38,79.35,78.91,79.11,79.22,79.22,79.21,79.26,79.82,80.04,80.2,80.2,80.27,80.37,80.57,79.99,79.86,79.86,79.81,79.88,80.2,80.53,80.52,80.52,80.48,80.29,79.54,79.39,79.3,79.3,79.49,79.63,79.74,80.17,80.06,80.06,80.22,80.5,80.58,80.24,80.34,80.34,80.41,80.59,80.77,80.94,80.8,80.8,80.76,80.94,81.03,81.35,81.41,81.41,81.44,81.55,81.8,81.97,81.99,79.36,79.44,79.46,79.77,79.49,79.42,80.32,80.48,80.6,80.53,80.84,80.68)
> 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,] 79.26 80.20 80.52 80.06 80.80 79.36   NA
 [2,] 79.38 80.27 80.48 80.22 80.76 79.44   NA
 [3,] 79.35 80.37 80.29 80.50 80.94 79.46   NA
 [4,] 78.91 80.57 79.54 80.58 81.03 79.77   NA
 [5,] 79.11 79.99 79.39 80.24 81.35 79.49   NA
 [6,] 79.22 79.86 79.30 80.34 81.41 79.42   NA
 [7,] 79.22 79.86 79.30 80.34 81.41 80.32   NA
 [8,] 79.21 79.81 79.49 80.41 81.44 80.48   NA
 [9,] 79.26 79.88 79.63 80.59 81.55 80.60   NA
[10,] 79.82 80.20 79.74 80.77 81.80 80.53   NA
[11,] 80.04 80.53 80.17 80.94 81.97 80.84   NA
[12,] 80.20 80.52 80.06 80.80 81.99 80.68   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/1ojlh1416577367.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/207d21416577367.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/3z53p1416577367.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/4y4zk1416577367.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,] 79.26 79.380 79.35 78.91 79.11 79.22 79.22 79.21 79.260 79.740 80.040
[2,] 79.36 79.440 79.46 79.54 79.39 79.30 79.30 79.49 79.630 79.820 80.170
[3,] 80.13 80.245 80.33 80.17 79.74 79.64 80.09 80.11 80.235 80.365 80.685
[4,] 80.52 80.480 80.50 80.58 80.24 80.34 80.34 80.48 80.600 80.770 80.940
[5,] 80.80 80.760 80.94 81.03 81.35 81.41 81.41 81.44 81.550 81.800 81.970
     [,12]
[1,] 80.06
[2,] 80.20
[3,] 80.60
[4,] 80.80
[5,] 80.80

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 79.38176 79.57417 79.65917 79.49917 79.19172 78.96917 79.41917 79.47142
[2,] 80.87824 80.91583 81.00083 80.84083 80.28828 80.31083 80.76083 80.74858
         [,9]    [,10]    [,11]    [,12]
[1,] 79.60932 79.75222 80.18833 80.21298
[2,] 80.86068 80.97778 81.18167 80.98702

$out
[1] 81.99

$group
[1] 12

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

Warning message:
In bxp(list(stats = c(79.26, 79.36, 80.13, 80.52, 80.8, 79.38, 79.44,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5b4bt1416577367.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,] 78.910 79.810 79.300 80.060 80.760 79.360   NA
[2,] 79.215 79.870 79.440 80.290 80.985 79.450   NA
[3,] 79.260 80.200 79.685 80.455 81.410 80.045   NA
[4,] 79.600 80.445 80.230 80.680 81.675 80.565   NA
[5,] 80.040 80.570 80.520 80.940 81.990 80.840   NA

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

$conf
        [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]
[1,] 79.0844 79.93774 79.32468 80.27712 81.09529 79.53644   NA
[2,] 79.4356 80.46226 80.04532 80.63288 81.72471 80.55356   NA

$out
[1] 80.2

$group
[1] 1

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

Warning message:
In bxp(list(stats = c(78.91, 79.215, 79.26, 79.6, 80.04, 79.81,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6xxea1416577367.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,] 0.5615841 1.38 0.6550
[2,] 0.6546532 1.76 0.7775
[3,] 0.7769117 2.09 0.8450
[4,] 0.8102556 2.21 0.9000
[5,] 0.8395654 2.29 0.9800

$n
[1] 12 12 12

$conf
          [,1]     [,2]      [,3]
[1,] 0.7059404 1.884752 0.7891269
[2,] 0.8478830 2.295248 0.9008731

$out
[1] 0.49

$group
[1] 3

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

Warning message:
In bxp(list(stats = c(0.561584069099783, 0.654653207177156, 0.776911720419763,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1ojlh1416577367.ps tmp/1ojlh1416577367.png",intern=TRUE))
character(0)
> try(system("convert tmp/207d21416577367.ps tmp/207d21416577367.png",intern=TRUE))
character(0)
> try(system("convert tmp/3z53p1416577367.ps tmp/3z53p1416577367.png",intern=TRUE))
character(0)
> try(system("convert tmp/4y4zk1416577367.ps tmp/4y4zk1416577367.png",intern=TRUE))
character(0)
> try(system("convert tmp/5b4bt1416577367.ps tmp/5b4bt1416577367.png",intern=TRUE))
character(0)
> try(system("convert tmp/6xxea1416577367.ps tmp/6xxea1416577367.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.165   0.396   2.573