R version 2.7.0 (2008-04-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(90.2,94.3,96,99,103.3,113.1,112.8,112.1,107.4,111,110.5,110.8,112.4,111.5,116.2,122.5,121.3,113.9,110.7,120.8,141.1,147.4,148,158.1,165,187,190.3,182.4,168.8,151.2,120.1,112.5,106.2,107.1,108.5,106.5,108.3,125.6,124,127.2,136.9,135.8,124.3,115.4,113.6,114.4,118.4,117,116.5,115.4,113.6,117.4,116.9,116.4,111.1,110.2,118.9,131.8,130.6,138.3,148.4,148.7,144.3,152.5,162.9,167.2,166.5,185.6,193.2,207.8,223.4,246.4)
> 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] 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,]  90.2 112.4 165.0 108.3 116.5 148.4   NA
 [2,]  94.3 111.5 187.0 125.6 115.4 148.7   NA
 [3,]  96.0 116.2 190.3 124.0 113.6 144.3   NA
 [4,]  99.0 122.5 182.4 127.2 117.4 152.5   NA
 [5,] 103.3 121.3 168.8 136.9 116.9 162.9   NA
 [6,] 113.1 113.9 151.2 135.8 116.4 167.2   NA
 [7,] 112.8 110.7 120.1 124.3 111.1 166.5   NA
 [8,] 112.1 120.8 112.5 115.4 110.2 185.6   NA
 [9,] 107.4 141.1 106.2 113.6 118.9 193.2   NA
[10,] 111.0 147.4 107.1 114.4 131.8 207.8   NA
[11,] 110.5 148.0 108.5 118.4 130.6 223.4   NA
[12,] 110.8 158.1 106.5 117.0 138.3 246.4   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/16p6l1212350286.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/271o81212350286.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/3y2p91212350286.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/4ber31212350286.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]
[1,]  90.20  94.3  96.0  99.00 103.3 113.1 110.70 110.20 106.20 107.1 108.5
[2,] 108.30 111.5 113.6 117.40 116.9 113.9 111.10 112.10 107.40 111.0 110.5
[3,] 114.45 120.5 120.1 124.85 129.1 126.1 116.45 113.95 116.25 123.1 124.5
[4,] 148.40 148.7 144.3 152.50 162.9 151.2 124.30 120.80 141.10 147.4 148.0
[5,] 165.00 187.0 190.3 182.40 168.8 167.2 124.30 120.80 141.10 147.4 148.0
      [,12]
[1,] 106.50
[2,] 110.80
[3,] 127.65
[4,] 158.10
[5,] 158.10

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

$conf
         [,1]     [,2]     [,3]     [,4]      [,5]     [,6]     [,7]     [,8]
[1,]  88.5842  96.5048 100.2975 102.2094  99.42851 102.0403 107.9356 108.3382
[2,] 140.3158 144.4952 139.9025 147.4906 158.77149 150.1597 124.9644 119.5618
          [,9]     [,10]    [,11]     [,12]
[1,]  94.51241  99.62082 100.3113  97.13997
[2,] 137.98759 146.57918 148.6887 158.16003

$out
[1] 166.5 185.6 193.2 207.8 223.4 246.4

$group
[1]  7  8  9 10 11 12

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

Warning message:
In bxp(list(stats = c(90.2, 108.3, 114.45, 148.4, 165, 94.3, 111.5,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/57cu71212350286.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]
[1,]  90.20 110.70 106.20 108.3 110.20 144.30   NA
[2,]  97.50 113.15 107.80 114.9 114.50 150.60   NA
[3,] 108.95 121.05 135.65 121.2 116.70 166.85   NA
[4,] 111.55 144.25 175.60 126.4 124.75 200.50   NA
[5,] 113.10 158.10 190.30 136.9 138.30 246.40   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]
[1,] 102.5417 106.8651 104.7260 115.9548 112.0249 144.0903   NA
[2,] 115.3583 135.2349 166.5740 126.4452 121.3751 189.6097   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(90.2, 97.5, 108.95, 111.55, 113.1, 110.7,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6sbjf1212350286.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,] 21.40054  54.10 24.9750
[2,] 27.00609  70.15 25.7875
[3,] 31.27171  85.20 30.7750
[4,] 35.72341  97.50 32.2375
[5,] 43.44403 114.90 40.8000

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 27.29568 72.72548 27.83311
[2,] 35.24774 97.67452 33.71689

$out
[1]  52.7749 139.9000  11.7250   7.2500

$group
[1] 1 2 3 3

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

Warning message:
In bxp(list(stats = c(21.4005373764305, 27.0060857652768, 31.2717096647056,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/16p6l1212350286.ps tmp/16p6l1212350286.png")
> system("convert tmp/271o81212350286.ps tmp/271o81212350286.png")
> system("convert tmp/3y2p91212350286.ps tmp/3y2p91212350286.png")
> system("convert tmp/4ber31212350286.ps tmp/4ber31212350286.png")
> system("convert tmp/57cu71212350286.ps tmp/57cu71212350286.png")
> system("convert tmp/6sbjf1212350286.ps tmp/6sbjf1212350286.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.299   0.830   5.752