R version 2.8.1 (2008-12-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(95.05,96.84,96.92,97.44,97.78,97.69,96.67,98.29,98.2,98.71,98.54,98.2,96.92,99.06,99.65,99.82,99.99,100.33,99.31,101.1,101.1,100.93,100.85,100.93,99.6,101.88,101.81,102.38,102.74,102.82,101.72,103.47,102.98,102.68,102.9,103.03,101.29,103.69,103.68,104.2,104.08,104.16,103.05,104.66,104.46,104.95,105.85,106.23,104.86,107.44,108.23,108.45,109.39,110.15,109.13,110.28,110.17,109.99,109.26,109.11)
> 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,] 95.05  96.92  99.60 101.29 104.86   NA
 [2,] 96.84  99.06 101.88 103.69 107.44   NA
 [3,] 96.92  99.65 101.81 103.68 108.23   NA
 [4,] 97.44  99.82 102.38 104.20 108.45   NA
 [5,] 97.78  99.99 102.74 104.08 109.39   NA
 [6,] 97.69 100.33 102.82 104.16 110.15   NA
 [7,] 96.67  99.31 101.72 103.05 109.13   NA
 [8,] 98.29 101.10 103.47 104.66 110.28   NA
 [9,] 98.20 101.10 102.98 104.46 110.17   NA
[10,] 98.71 100.93 102.68 104.95 109.99   NA
[11,] 98.54 100.85 102.90 105.85 109.26   NA
[12,] 98.20 100.93 103.03 106.23 109.11   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/rcomp/tmp/1mbad1258023569.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/rcomp/tmp/2g9ic1258023569.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/rcomp/tmp/3l6id1258023569.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/rcomp/tmp/4fbnx1258023569.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,]  95.05  96.84  96.92  97.44  97.78  97.69  96.67  98.29  98.20  98.71
[2,]  96.92  99.06  99.65  99.82  99.99 100.33  99.31 101.10 101.10 100.93
[3,]  99.60 101.88 101.81 102.38 102.74 102.82 101.72 103.47 102.98 102.68
[4,] 101.29 103.69 103.68 104.20 104.08 104.16 103.05 104.66 104.46 104.95
[5,] 104.86 107.44 108.23 108.45 109.39 104.16 103.05 104.66 104.46 109.99
      [,11]  [,12]
[1,]  98.54  98.20
[2,] 100.85 100.93
[3,] 102.90 103.03
[4,] 105.85 106.23
[5,] 109.26 109.11

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

$conf
          [,1]      [,2]      [,3]     [,4]      [,5]     [,6]      [,7]
[1,]  96.51217  98.60845  98.96241  99.2851  99.85002 100.1137  99.07733
[2,] 102.68783 105.15155 104.65759 105.4749 105.62998 105.5263 104.36267
         [,8]     [,9]     [,10]     [,11]     [,12]
[1,] 100.9545 100.6058  99.83948  99.36701  99.28503
[2,] 105.9855 105.3542 105.52052 106.43299 106.77497

$out
[1] 110.15 109.13 110.28 110.17

$group
[1] 6 7 8 9

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

Warning message:
In bxp(list(stats = c(95.05, 96.92, 99.6, 101.29, 104.86, 96.84,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/5n81t1258023569.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,] 95.050  99.06 101.720 103.050 107.440   NA
[2,] 96.880  99.48 101.845 103.685 108.340   NA
[3,] 97.735 100.16 102.710 104.180 109.195   NA
[4,] 98.245 100.93 102.940 104.805 110.070   NA
[5,] 98.710 101.10 103.470 106.230 110.280   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]      [,2]     [,3]     [,4]     [,5] [,6]
[1,] 97.11241  99.49865 102.2106 103.6692 108.4059   NA
[2,] 98.35759 100.82135 103.2094 104.6908 109.9841   NA

$out
[1]  96.92  99.60 101.29 104.86

$group
[1] 2 3 4 5

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

Warning message:
In bxp(list(stats = c(95.05, 96.88, 97.735, 98.245, 98.71, 99.06,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/62gkx1258023569.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,] 4.107788  9.810 3.360
[2,] 4.209602 10.815 3.785
[3,] 4.305123 11.295 4.060
[4,] 4.467402 11.980 4.505
[5,] 4.685643 12.460 5.300

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 4.187539 10.76364 3.731603
[2,] 4.422707 11.82636 4.388397

$out
[1] 3.820763

$group
[1] 1

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

Warning message:
In bxp(list(stats = c(4.10778772577162, 4.20960204749806, 4.30512325211781,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1mbad1258023569.ps tmp/1mbad1258023569.png")
> system("convert tmp/2g9ic1258023569.ps tmp/2g9ic1258023569.png")
> system("convert tmp/3l6id1258023569.ps tmp/3l6id1258023569.png")
> system("convert tmp/4fbnx1258023569.ps tmp/4fbnx1258023569.png")
> system("convert tmp/5n81t1258023569.ps tmp/5n81t1258023569.png")
> system("convert tmp/62gkx1258023569.ps tmp/62gkx1258023569.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.370   1.290   2.426