R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(150.85,147.79,141.96,148.39,147.71,150.6,151.18,152.24,157.19,154.62,157.22,159.7,160.55,149.66,151.69,154.13,151.48,153.34,155.8,158.87,156.09,156.3,156.4,154.09,161.32,160.12,155.17,154.51,151.38,152.59,153.98,154.91,153.01,155.09,155.53,161.86,166.03,164.54,164.33,163.21,159.95,164.18,167.13,166.8,166.29,168.07,167.1,163.53,168.28,169.07,165.84,163.88,157.33,161,163.54,161.21,158.92,160.18,159.9,164.46)
> 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] 60
> (np <- floor(n / par1))
[1] 5
> 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] 5 5 5 5 5 5 5 5 5 5 5 5
> arr
        [,1]   [,2]   [,3]   [,4]   [,5] [,6]
 [1,] 150.85 160.55 161.32 166.03 168.28   NA
 [2,] 147.79 149.66 160.12 164.54 169.07   NA
 [3,] 141.96 151.69 155.17 164.33 165.84   NA
 [4,] 148.39 154.13 154.51 163.21 163.88   NA
 [5,] 147.71 151.48 151.38 159.95 157.33   NA
 [6,] 150.60 153.34 152.59 164.18 161.00   NA
 [7,] 151.18 155.80 153.98 167.13 163.54   NA
 [8,] 152.24 158.87 154.91 166.80 161.21   NA
 [9,] 157.19 156.09 153.01 166.29 158.92   NA
[10,] 154.62 156.30 155.09 168.07 160.18   NA
[11,] 157.22 156.40 155.53 167.10 159.90   NA
[12,] 159.70 154.09 161.86 163.53 164.46   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/1azbf1258141911.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/2k9pg1258141911.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/37e4y1258141911.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/414e71258141911.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]
[1,] 160.55 147.79 141.96 148.39 147.71 150.60 151.18 152.24 153.01 154.62
[2,] 160.55 149.66 151.69 154.13 151.38 152.59 153.98 154.91 156.09 155.09
[3,] 161.32 160.12 155.17 154.51 151.48 153.34 155.80 158.87 157.19 156.30
[4,] 166.03 164.54 164.33 163.21 157.33 161.00 163.54 161.21 158.92 160.18
[5,] 168.28 169.07 165.84 163.88 159.95 164.18 167.13 166.80 158.92 160.18
      [,11]  [,12]
[1,] 155.53 154.09
[2,] 156.40 159.70
[3,] 157.22 161.86
[4,] 159.90 163.53
[5,] 159.90 164.46

$n
 [1] 5 5 5 5 5 5 5 5 5 5 5 5

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 157.4478 149.6058 146.2386 148.0941 147.2757 147.3975 149.0449 154.4184
[2,] 165.1922 170.6342 164.1014 160.9259 155.6843 159.2825 162.5551 163.3216
         [,9]    [,10]    [,11]    [,12]
[1,] 155.1903 152.7034 154.7469 159.1537
[2,] 159.1897 159.8966 159.6931 164.5663

$out
[1] 150.85 166.29 168.07 167.10

$group
[1]  1  9 10 11

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

Warning message:
In bxp(list(stats = c(160.55, 160.55, 161.32, 166.03, 168.28, 147.79,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5tjuo1258141911.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]
[1,] 141.960 149.660 151.380 159.950 157.330   NA
[2,] 148.090 152.515 153.495 163.855 160.040   NA
[3,] 151.015 154.965 155.000 165.285 162.375   NA
[4,] 155.905 156.350 157.825 166.950 165.150   NA
[5,] 159.700 160.550 161.860 168.070 169.070   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]     [,2]     [,3]     [,4]     [,5] [,6]
[1,] 147.4505 153.2158 153.0251 163.8733 160.0443   NA
[2,] 154.5795 156.7142 156.9749 166.6967 164.7057   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(141.96, 148.09, 151.015, 155.905, 159.7, 149.66,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6msge1258141911.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,] 4.128568 10.37  2.830
[2,] 4.958208 12.76  4.460
[3,] 5.777674 14.07  6.125
[4,] 6.725255 16.69  9.320
[5,] 9.264612 21.28 14.880

$n
[1] 12 12 12

$conf
         [,1]    [,2]     [,3]
[1,] 4.971712 12.2775 3.908321
[2,] 6.583636 15.8625 8.341679

$out
[1]  9.777488 23.880000

$group
[1] 1 2

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

Warning message:
In bxp(list(stats = c(4.12856754819393, 4.95820783448286, 5.77767364522675,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1azbf1258141911.ps tmp/1azbf1258141911.png")
> system("convert tmp/2k9pg1258141911.ps tmp/2k9pg1258141911.png")
> system("convert tmp/37e4y1258141911.ps tmp/37e4y1258141911.png")
> system("convert tmp/414e71258141911.ps tmp/414e71258141911.png")
> system("convert tmp/5tjuo1258141911.ps tmp/5tjuo1258141911.png")
> system("convert tmp/6msge1258141911.ps tmp/6msge1258141911.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.103   0.842   1.350