R version 2.15.3 (2013-03-01) -- "Security Blanket"
Copyright (C) 2013 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(2.27,2.35,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,3.07,3.07,3.07,3.07,3.07,3.07,3.07,3.07,3.07,3.07)
> 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,] 2.27 2.54 2.54 2.66 2.66 2.93   NA
 [2,] 2.35 2.54 2.66 2.66 2.93 2.93   NA
 [3,] 2.54 2.54 2.66 2.66 2.93 3.07   NA
 [4,] 2.54 2.54 2.66 2.66 2.93 3.07   NA
 [5,] 2.54 2.54 2.66 2.66 2.93 3.07   NA
 [6,] 2.54 2.54 2.66 2.66 2.93 3.07   NA
 [7,] 2.54 2.54 2.66 2.66 2.93 3.07   NA
 [8,] 2.54 2.54 2.66 2.66 2.93 3.07   NA
 [9,] 2.54 2.54 2.66 2.66 2.93 3.07   NA
[10,] 2.54 2.54 2.66 2.66 2.93 3.07   NA
[11,] 2.54 2.54 2.66 2.66 2.93 3.07   NA
[12,] 2.54 2.54 2.66 2.66 2.93 3.07   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/1mkke1367847853.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/2as941367847853.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/3nw7a1367847853.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/4oqz21367847853.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,] 2.54 2.35 2.54 2.54 2.54 2.54 2.54 2.54 2.54  2.54  2.54  2.54
[2,] 2.54 2.54 2.54 2.54 2.54 2.54 2.54 2.54 2.54  2.54  2.54  2.54
[3,] 2.60 2.66 2.66 2.66 2.66 2.66 2.66 2.66 2.66  2.66  2.66  2.66
[4,] 2.66 2.93 2.93 2.93 2.93 2.93 2.93 2.93 2.93  2.93  2.93  2.93
[5,] 2.66 2.93 3.07 3.07 3.07 3.07 3.07 3.07 3.07  3.07  3.07  3.07

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 2.522596 2.408437 2.408437 2.408437 2.408437 2.408437 2.408437 2.408437
[2,] 2.677404 2.911563 2.911563 2.911563 2.911563 2.911563 2.911563 2.911563
         [,9]    [,10]    [,11]    [,12]
[1,] 2.408437 2.408437 2.408437 2.408437
[2,] 2.911563 2.911563 2.911563 2.911563

$out
[1] 2.27 2.93

$group
[1] 1 1

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

Warning message:
In bxp(list(stats = c(2.54, 2.54, 2.6, 2.66, 2.66, 2.35, 2.54, 2.66,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/594h61367847853.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,] 2.54 2.54 2.66 2.66 2.93 3.07   NA
[2,] 2.54 2.54 2.66 2.66 2.93 3.07   NA
[3,] 2.54 2.54 2.66 2.66 2.93 3.07   NA
[4,] 2.54 2.54 2.66 2.66 2.93 3.07   NA
[5,] 2.54 2.54 2.66 2.66 2.93 3.07   NA

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

$conf
     [,1] [,2] [,3] [,4] [,5] [,6] [,7]
[1,] 2.54 2.54 2.66 2.66 2.93 3.07   NA
[2,] 2.54 2.54 2.66 2.66 2.93 3.07   NA

$out
[1] 2.27 2.35 2.54 2.66 2.93 2.93

$group
[1] 1 1 3 5 6 6

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

> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6cx811367847853.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,] 0.2179602 0.53 0.2925
[2,] 0.2179602 0.53 0.2925
[3,] 0.2179602 0.53 0.2925
[4,] 0.2179602 0.53 0.2925
[5,] 0.2179602 0.53 0.2925

$n
[1] 12 12 12

$conf
          [,1] [,2]   [,3]
[1,] 0.2179602 0.53 0.2925
[2,] 0.2179602 0.53 0.2925

$out
[1] 0.2154994 0.2255142 0.6600000 0.5800000 0.1200000

$group
[1] 1 1 2 2 3

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

> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1mkke1367847853.ps tmp/1mkke1367847853.png",intern=TRUE))
character(0)
> try(system("convert tmp/2as941367847853.ps tmp/2as941367847853.png",intern=TRUE))
character(0)
> try(system("convert tmp/3nw7a1367847853.ps tmp/3nw7a1367847853.png",intern=TRUE))
character(0)
> try(system("convert tmp/4oqz21367847853.ps tmp/4oqz21367847853.png",intern=TRUE))
character(0)
> try(system("convert tmp/594h61367847853.ps tmp/594h61367847853.png",intern=TRUE))
character(0)
> try(system("convert tmp/6cx811367847853.ps tmp/6cx811367847853.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.688   0.731   4.456