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(1.93,2.02,1.85,1.77,1.81,1.67,1.55,1.62,1.79,1.73,1.77,1.95,2.08,2.26,2.02,1.9,1.97,1.76,1.93,1.91,1.96,1.99,1.98,1.96,1.95,2.26,2.07,2.02,2.07,1.88,1.75,1.78,1.87,1.94,2.03,2.13,2.04,2.18,2.02,1.99,2.09,1.88,1.8,1.77,1.85,1.9,2.03,2.02,2.09,2.3,2.16,2.02,2.31,1.98,1.74,1.82,2.07,2.04,2.07,2.13,2.14,2.43,2.26,2.11,2.19,2.04,2.04,2.05,2.08,1.98,2.07,2.12,2.15,2.35,2.19,2.17,2.3,2.09,1.95,1.89,1.95,1.98,1.95,2.06)
> 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,] 1.93 2.08 1.95 2.04 2.09 2.14 2.15   NA
 [2,] 2.02 2.26 2.26 2.18 2.30 2.43 2.35   NA
 [3,] 1.85 2.02 2.07 2.02 2.16 2.26 2.19   NA
 [4,] 1.77 1.90 2.02 1.99 2.02 2.11 2.17   NA
 [5,] 1.81 1.97 2.07 2.09 2.31 2.19 2.30   NA
 [6,] 1.67 1.76 1.88 1.88 1.98 2.04 2.09   NA
 [7,] 1.55 1.93 1.75 1.80 1.74 2.04 1.95   NA
 [8,] 1.62 1.91 1.78 1.77 1.82 2.05 1.89   NA
 [9,] 1.79 1.96 1.87 1.85 2.07 2.08 1.95   NA
[10,] 1.73 1.99 1.94 1.90 2.04 1.98 1.98   NA
[11,] 1.77 1.98 2.03 2.03 2.07 2.07 1.95   NA
[12,] 1.95 1.96 2.13 2.02 2.13 2.12 2.06   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/16r8z1386151239.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/26yur1386151239.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/3onna1386151240.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/4cadu1386151240.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,] 1.930 2.180 1.850 1.770 1.810 1.67 1.550 1.620 1.790 1.900 1.950 1.950
[2,] 1.995 2.220 2.020 1.945 2.020 1.82 1.745 1.775 1.860 1.920 1.965 1.990
[3,] 2.080 2.260 2.070 2.020 2.090 1.88 1.800 1.820 1.950 1.980 2.030 2.060
[4,] 2.115 2.325 2.175 2.065 2.245 2.01 1.940 1.900 2.015 1.985 2.050 2.125
[5,] 2.150 2.430 2.260 2.170 2.310 2.09 2.040 2.050 2.080 2.040 2.070 2.130

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 2.008338 2.197296 1.977437 1.948338 1.955634 1.766535 1.683549 1.745352
[2,] 2.151662 2.322704 2.162563 2.091662 2.224366 1.993465 1.916451 1.894648
         [,9]    [,10]    [,11]   [,12]
[1,] 1.857437 1.941183 1.979239 1.97938
[2,] 2.042563 2.018817 2.080761 2.14062

$out
[1] 2.02 1.73 1.77

$group
[1]  2 10 11

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

Warning message:
In bxp(list(stats = c(1.93, 1.995, 2.08, 2.115, 2.15, 2.18, 2.22,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5em5n1386151240.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,] 1.55 1.900 1.750 1.770 1.820 1.980 1.890   NA
[2,] 1.70 1.920 1.875 1.865 2.000 2.045 1.950   NA
[3,] 1.78 1.965 1.985 2.005 2.070 2.095 2.075   NA
[4,] 1.89 2.005 2.070 2.035 2.145 2.165 2.180   NA
[5,] 2.02 2.080 2.260 2.180 2.310 2.260 2.350   NA

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

$conf
        [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7] [,8]
[1,] 1.69334 1.926231 1.896059 1.927462 2.003865 2.040267 1.970095   NA
[2,] 1.86666 2.003769 2.073941 2.082538 2.136135 2.149733 2.179905   NA

$out
[1] 2.26 1.76 1.74 2.43

$group
[1] 2 2 5 6

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

Warning message:
In bxp(list(stats = c(1.55, 1.7, 1.78, 1.89, 2.02, 1.9, 1.92, 1.965,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6kk9w1386151240.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,] 0.07825477 0.180 0.0650
[2,] 0.10298552 0.295 0.1125
[3,] 0.13142801 0.405 0.1300
[4,] 0.14314463 0.425 0.1725
[5,] 0.17980148 0.500 0.2250

$n
[1] 12 12 12

$conf
          [,1]      [,2]      [,3]
[1,] 0.1131112 0.3457061 0.1026336
[2,] 0.1497449 0.4642939 0.1573664

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(0.0782547731694976, 0.102985518126458, 0.13142801476086,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/16r8z1386151239.ps tmp/16r8z1386151239.png",intern=TRUE))
character(0)
> try(system("convert tmp/26yur1386151239.ps tmp/26yur1386151239.png",intern=TRUE))
character(0)
> try(system("convert tmp/3onna1386151240.ps tmp/3onna1386151240.png",intern=TRUE))
character(0)
> try(system("convert tmp/4cadu1386151240.ps tmp/4cadu1386151240.png",intern=TRUE))
character(0)
> try(system("convert tmp/5em5n1386151240.ps tmp/5em5n1386151240.png",intern=TRUE))
character(0)
> try(system("convert tmp/6kk9w1386151240.ps tmp/6kk9w1386151240.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  6.804   1.630   8.628