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(101.16,101.16,101.16,101.16,101.16,101.16,101.16,101.16,101.16,101.21,101.21,101.21,103.16,103.16,103.16,103.16,101.13,101.13,100.53,100.53,100.53,100.53,100.53,100.53,100.53,100.53,100.53,99.42,99.42,99.42,99.42,100.31,100.31,102.25,102.25,102.25,101.81,101.81,101.81,101.81,101.81,101.81,101.81,101.81,101.81,101.81,101.81,101.81,101.81,101.81,101.81,101.81,101.81,101.81,101.81,101.94,101.94,101.94,101.94,101.94,102,102,102,102,102,102,102,102,102,102,102,102,109.67,109.67,109.67,109.67,109.67,109.67,109.67,109.67,109.67,109.67,109.67,109.67)
> 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,] 101.16 103.16 100.53 101.81 101.81  102 109.67   NA
 [2,] 101.16 103.16 100.53 101.81 101.81  102 109.67   NA
 [3,] 101.16 103.16 100.53 101.81 101.81  102 109.67   NA
 [4,] 101.16 103.16  99.42 101.81 101.81  102 109.67   NA
 [5,] 101.16 101.13  99.42 101.81 101.81  102 109.67   NA
 [6,] 101.16 101.13  99.42 101.81 101.81  102 109.67   NA
 [7,] 101.16 100.53  99.42 101.81 101.81  102 109.67   NA
 [8,] 101.16 100.53 100.31 101.81 101.94  102 109.67   NA
 [9,] 101.16 100.53 100.31 101.81 101.94  102 109.67   NA
[10,] 101.21 100.53 102.25 101.81 101.94  102 109.67   NA
[11,] 101.21 100.53 102.25 101.81 101.94  102 109.67   NA
[12,] 101.21 100.53 102.25 101.81 101.94  102 109.67   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/1l77l1386254159.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/2ncz61386254159.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/3ikpw1386254159.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/4aho31386254159.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]
[1,] 100.530 100.530 100.530 101.160 101.130 101.130  99.420 100.310 100.310
[2,] 101.485 101.485 101.485 101.485 101.145 101.145 100.845 100.845 100.845
[3,] 101.810 101.810 101.810 101.810 101.810 101.810 101.810 101.810 101.810
[4,] 102.580 102.580 102.580 102.580 101.905 101.905 101.905 101.970 101.970
[5,] 103.160 103.160 103.160 103.160 102.000 102.000 102.000 102.000 102.000
       [,10]   [,11]   [,12]
[1,] 101.210 101.210 101.210
[2,] 101.510 101.510 101.510
[3,] 101.940 101.940 101.940
[4,] 102.125 102.125 102.125
[5,] 102.250 102.250 102.250

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]    [,7]     [,8]
[1,] 101.1561 101.1561 101.1561 101.1561 101.3561 101.3561 101.177 101.1382
[2,] 102.4639 102.4639 102.4639 102.4639 102.2639 102.2639 102.443 102.4818
         [,9]    [,10]    [,11]    [,12]
[1,] 101.1382 101.5727 101.5727 101.5727
[2,] 102.4818 102.3073 102.3073 102.3073

$out
 [1] 109.67 109.67 109.67  99.42 109.67  99.42 109.67  99.42 109.67 109.67
[11] 109.67 109.67 100.53 109.67 100.53 109.67 100.53 109.67

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

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

Warning message:
In bxp(list(stats = c(100.53, 101.485, 101.81, 102.58, 103.16, 100.53,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/54dmn1386254159.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,] 101.160 100.53  99.42 101.81 101.81  102 109.67   NA
[2,] 101.160 100.53  99.42 101.81 101.81  102 109.67   NA
[3,] 101.160 100.83 100.42 101.81 101.81  102 109.67   NA
[4,] 101.185 103.16 101.39 101.81 101.94  102 109.67   NA
[5,] 101.210 103.16 102.25 101.81 101.94  102 109.67   NA

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

$conf
         [,1]      [,2]      [,3]   [,4]     [,5] [,6]   [,7] [,8]
[1,] 101.1486  99.63044  99.52147 101.81 101.7507  102 109.67   NA
[2,] 101.1714 102.02956 101.31853 101.81 101.8693  102 109.67   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(101.16, 101.16, 101.16, 101.185, 101.21, 100.53,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6izzn1386254159.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,] 3.096636  9.14 0.6150
[2,] 3.099226  9.14 0.6875
[3,] 3.170067  9.25 1.0775
[4,] 3.287891 10.25 1.0950
[5,] 3.356614 10.25 1.1250

$n
[1] 12 12 12

$conf
         [,1]     [,2]      [,3]
[1,] 3.084016 8.743722 0.8916365
[2,] 3.256119 9.756278 1.2633635

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(3.09663642406679, 3.09922578043142, 3.17006740344476,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1l77l1386254159.ps tmp/1l77l1386254159.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ncz61386254159.ps tmp/2ncz61386254159.png",intern=TRUE))
character(0)
> try(system("convert tmp/3ikpw1386254159.ps tmp/3ikpw1386254159.png",intern=TRUE))
character(0)
> try(system("convert tmp/4aho31386254159.ps tmp/4aho31386254159.png",intern=TRUE))
character(0)
> try(system("convert tmp/54dmn1386254159.ps tmp/54dmn1386254159.png",intern=TRUE))
character(0)
> try(system("convert tmp/6izzn1386254159.ps tmp/6izzn1386254159.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.832   1.104   5.894