R version 2.6.2 (2008-02-08)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(1.12,1.12,1.12,1.13,1.13,1.13,1.14,1.14,1.14,1.14,1.14,1.15,1.15,1.17,1.17,1.18,1.18,1.18,1.18,1.18,1.18,1.19,1.19,1.19,1.19,1.19,1.2,1.21,1.21,1.21,1.21,1.21,1.23,1.24,1.24,1.24,1.27,1.28,1.29,1.29,1.3,1.31,1.31,1.31,1.32,1.32,1.33,1.33,1.34,1.35,1.36,1.37,1.37,1.37,1.37,1.37,1.38,1.38,1.39,1.39,1.39,1.41,1.42,1.42,1.42,1.43,1.43,1.44,1.46,1.46,1.47,1.47,1.47,1.48,1.49,1.49,1.5,1.5,1.51,1.52,1.53,1.53,1.53,1.54)
> 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,] 1.12 1.15 1.19 1.27 1.34 1.39 1.47   NA
 [2,] 1.12 1.17 1.19 1.28 1.35 1.41 1.48   NA
 [3,] 1.12 1.17 1.20 1.29 1.36 1.42 1.49   NA
 [4,] 1.13 1.18 1.21 1.29 1.37 1.42 1.49   NA
 [5,] 1.13 1.18 1.21 1.30 1.37 1.42 1.50   NA
 [6,] 1.13 1.18 1.21 1.31 1.37 1.43 1.50   NA
 [7,] 1.14 1.18 1.21 1.31 1.37 1.43 1.51   NA
 [8,] 1.14 1.18 1.21 1.31 1.37 1.44 1.52   NA
 [9,] 1.14 1.18 1.23 1.32 1.38 1.46 1.53   NA
[10,] 1.14 1.19 1.24 1.32 1.38 1.46 1.53   NA
[11,] 1.14 1.19 1.24 1.33 1.39 1.47 1.53   NA
[12,] 1.15 1.19 1.24 1.33 1.39 1.47 1.54   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/www/html/rcomp/tmp/1nuxk1210783979.ps",horizontal=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/www/html/rcomp/tmp/24fa71210783979.ps",horizontal=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/www/html/rcomp/tmp/3stn61210783979.ps",horizontal=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/www/html/rcomp/tmp/4ibds1210783979.ps",horizontal=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,] 1.120 1.12 1.120 1.130 1.130 1.130 1.140 1.140 1.140 1.140 1.140 1.150
[2,] 1.170 1.18 1.185 1.195 1.195 1.195 1.195 1.195 1.205 1.215 1.215 1.215
[3,] 1.270 1.28 1.290 1.290 1.300 1.310 1.310 1.310 1.320 1.320 1.330 1.330
[4,] 1.365 1.38 1.390 1.395 1.395 1.400 1.400 1.405 1.420 1.420 1.430 1.430
[5,] 1.470 1.48 1.490 1.490 1.500 1.500 1.510 1.520 1.530 1.530 1.530 1.540

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 1.153549 1.160563 1.167577 1.170563 1.180563 1.187577 1.187577 1.184591
[2,] 1.386451 1.399437 1.412423 1.409437 1.419437 1.432423 1.432423 1.435409
         [,9]    [,10]    [,11]    [,12]
[1,] 1.191605 1.197577 1.201605 1.201605
[2,] 1.448395 1.442423 1.458395 1.458395

$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(1.12, 1.17, 1.27, 1.365, 1.47, 1.12, 1.18,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5o2tq1210783979.ps",horizontal=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,] 1.120 1.170 1.190 1.27 1.350 1.39 1.470   NA
[2,] 1.125 1.175 1.205 1.29 1.365 1.42 1.490   NA
[3,] 1.135 1.180 1.210 1.31 1.370 1.43 1.505   NA
[4,] 1.140 1.185 1.235 1.32 1.380 1.46 1.530   NA
[5,] 1.150 1.190 1.240 1.33 1.390 1.47 1.540   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7] [,8]
[1,] 1.128158 1.175439 1.196317 1.296317 1.363158 1.411756 1.486756   NA
[2,] 1.141842 1.184561 1.223683 1.323683 1.376842 1.448244 1.523244   NA

$out
[1] 1.15 1.34

$group
[1] 2 5

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

Warning message:
In bxp(list(stats = c(1.12, 1.125, 1.135, 1.14, 1.15, 1.17, 1.175,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/612tl1210783979.ps",horizontal=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,] 0.1306212 0.350 0.1950
[2,] 0.1347975 0.365 0.2000
[3,] 0.1375118 0.370 0.2050
[4,] 0.1442999 0.390 0.2125
[5,] 0.1457166 0.390 0.2150

$n
[1] 12 12 12

$conf
          [,1]      [,2]      [,3]
[1,] 0.1331777 0.3585973 0.1992987
[2,] 0.1418459 0.3814027 0.2107013

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(0.130621226306848, 0.134797548363845, 0.137511795240343,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1nuxk1210783979.ps tmp/1nuxk1210783979.png")
> system("convert tmp/24fa71210783979.ps tmp/24fa71210783979.png")
> system("convert tmp/3stn61210783979.ps tmp/3stn61210783979.png")
> system("convert tmp/4ibds1210783979.ps tmp/4ibds1210783979.png")
> system("convert tmp/5o2tq1210783979.ps tmp/5o2tq1210783979.png")
> system("convert tmp/612tl1210783979.ps tmp/612tl1210783979.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.376   1.376   2.591