R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(2.2,2.28,2.28,2.28,2.28,2.27,2.28,2.27,2.28,2.28,2.28,2.28,2.27,2.28,2.28,2.28,2.27,2.28,2.27,2.27,2.27,2.27,2.27,2.27,2.27,2.35,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.54,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.66,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93)
> par1 = '12'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> 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,] 2.20 2.27 2.27 2.54 2.54 2.66 2.66   NA
 [2,] 2.28 2.28 2.35 2.54 2.66 2.66 2.93   NA
 [3,] 2.28 2.28 2.54 2.54 2.66 2.66 2.93   NA
 [4,] 2.28 2.28 2.54 2.54 2.66 2.66 2.93   NA
 [5,] 2.28 2.27 2.54 2.54 2.66 2.66 2.93   NA
 [6,] 2.27 2.28 2.54 2.54 2.66 2.66 2.93   NA
 [7,] 2.28 2.27 2.54 2.54 2.66 2.66 2.93   NA
 [8,] 2.27 2.27 2.54 2.54 2.66 2.66 2.93   NA
 [9,] 2.28 2.27 2.54 2.54 2.66 2.66 2.93   NA
[10,] 2.28 2.27 2.54 2.54 2.66 2.66 2.93   NA
[11,] 2.28 2.27 2.54 2.54 2.66 2.66 2.93   NA
[12,] 2.28 2.27 2.54 2.54 2.66 2.66 2.93   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/1gse01322490827.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/2rz0w1322490827.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/3s4101322490827.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/4fwr51322490827.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,] 2.20 2.280 2.28 2.28 2.27 2.27 2.27 2.270 2.27  2.27  2.27  2.27
[2,] 2.27 2.315 2.41 2.41 2.41 2.41 2.41 2.405 2.41  2.41  2.41  2.41
[3,] 2.54 2.540 2.54 2.54 2.54 2.54 2.54 2.540 2.54  2.54  2.54  2.54
[4,] 2.60 2.660 2.66 2.66 2.66 2.66 2.66 2.660 2.66  2.66  2.66  2.66
[5,] 2.66 2.930 2.93 2.93 2.93 2.93 2.93 2.930 2.93  2.93  2.93  2.93

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 2.342929 2.333972 2.390704 2.390704 2.390704 2.390704 2.390704 2.387718
[2,] 2.737071 2.746028 2.689296 2.689296 2.689296 2.689296 2.689296 2.692282
         [,9]    [,10]    [,11]    [,12]
[1,] 2.390704 2.390704 2.390704 2.390704
[2,] 2.689296 2.689296 2.689296 2.689296

$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(2.2, 2.27, 2.54, 2.6, 2.66, 2.28, 2.315, 2.54,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/54p0k1322490827.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,] 2.270 2.27 2.54 2.54 2.66 2.66 2.93   NA
[2,] 2.275 2.27 2.54 2.54 2.66 2.66 2.93   NA
[3,] 2.280 2.27 2.54 2.54 2.66 2.66 2.93   NA
[4,] 2.280 2.28 2.54 2.54 2.66 2.66 2.93   NA
[5,] 2.280 2.28 2.54 2.54 2.66 2.66 2.93   NA

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

$conf
         [,1]     [,2] [,3] [,4] [,5] [,6] [,7] [,8]
[1,] 2.277719 2.265439 2.54 2.54 2.66 2.66 2.93   NA
[2,] 2.282281 2.274561 2.54 2.54 2.66 2.66 2.93   NA

$out
[1] 2.20 2.27 2.35 2.54 2.66

$group
[1] 1 3 3 5 7

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

Warning message:
In bxp(list(stats = c(2.27, 2.275, 2.28, 2.28, 2.28, 2.27, 2.27,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6n6s51322490827.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,] 0.2289001 0.65 0.2500
[2,] 0.2299149 0.65 0.2500
[3,] 0.2309298 0.66 0.2500
[4,] 0.2309298 0.66 0.2525
[5,] 0.2309298 0.66 0.2550

$n
[1] 12 12 12

$conf
          [,1]      [,2]      [,3]
[1,] 0.2304669 0.6554389 0.2488597
[2,] 0.2313927 0.6645611 0.2511403

$out
[1] 0.1965052 0.2419662 0.2329316 0.4600000 0.3300000 0.3450000

$group
[1] 1 1 1 2 3 3

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

Warning message:
In bxp(list(stats = c(0.228900061370106, 0.22991492949479, 0.230929797619475,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1gse01322490827.ps tmp/1gse01322490827.png",intern=TRUE))
character(0)
> try(system("convert tmp/2rz0w1322490827.ps tmp/2rz0w1322490827.png",intern=TRUE))
character(0)
> try(system("convert tmp/3s4101322490827.ps tmp/3s4101322490827.png",intern=TRUE))
character(0)
> try(system("convert tmp/4fwr51322490827.ps tmp/4fwr51322490827.png",intern=TRUE))
character(0)
> try(system("convert tmp/54p0k1322490827.ps tmp/54p0k1322490827.png",intern=TRUE))
character(0)
> try(system("convert tmp/6n6s51322490827.ps tmp/6n6s51322490827.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.306   0.310   1.622