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

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(1.4,1,-0.8,-2.9,-0.7,-0.7,1.5,3,3.2,3.1,3.9,1,1.3,0.8,1.2,2.9,3.9,4.5,4.5,3.3,2,1.5,1,2.1,3,4,5.1,4.5,4.2,3.3,2.7,1.8,1.4,0.5,-0.4,0.8,0.7,1.9,2,1.1,0.9,0.4,0.7,2.1,2.8,3.9,3.5,2,2,1.5,2.5,3.1,2.7,2.8,2.5,3,3.2,2.8,2.4,2,1.8,1.1,-1.5,-3.7)
> 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] 64
> (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] 6 6 6 6 5 5 5 5 5 5 5 5
> arr
      [,1] [,2] [,3] [,4] [,5] [,6]
 [1,]  1.4  1.3  3.0  0.7  2.0  1.8
 [2,]  1.0  0.8  4.0  1.9  1.5  1.1
 [3,] -0.8  1.2  5.1  2.0  2.5 -1.5
 [4,] -2.9  2.9  4.5  1.1  3.1 -3.7
 [5,] -0.7  3.9  4.2  0.9  2.7   NA
 [6,] -0.7  4.5  3.3  0.4  2.8   NA
 [7,]  1.5  4.5  2.7  0.7  2.5   NA
 [8,]  3.0  3.3  1.8  2.1  3.0   NA
 [9,]  3.2  2.0  1.4  2.8  3.2   NA
[10,]  3.1  1.5  0.5  3.9  2.8   NA
[11,]  3.9  1.0 -0.4  3.5  2.4   NA
[12,]  1.0  2.1  0.8  2.0  2.0   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/127zl1258142552.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/2vj4l1258142552.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/3duuc1258142552.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/4wgyd1258142552.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,]  0.7  0.8 -1.5 -3.7 -0.7 -0.7  0.7  1.8  1.4   0.5  -0.4   0.8
[2,]  1.3  1.0 -0.8 -2.9  0.9  0.4  1.5  2.1  2.0   1.5   1.0   1.0
[3,]  1.6  1.3  1.6  2.0  2.7  2.8  2.5  3.0  2.8   2.8   2.4   2.0
[4,]  2.0  1.9  2.5  3.1  3.9  3.3  2.7  3.0  3.2   3.1   3.5   2.0
[5,]  3.0  1.9  5.1  4.5  4.2  4.5  4.5  3.3  3.2   3.9   3.9   2.1

$n
 [1] 6 6 6 6 5 5 5 5 5 5 5 5

$conf
         [,1]     [,2]       [,3]      [,4]      [,5]      [,6]     [,7]
[1,] 1.148477 0.719471 -0.5286066 -1.870194 0.5802076 0.7508673 1.652083
[2,] 2.051523 1.880529  3.7286066  5.870194 4.8197924 4.8491327 3.347917
         [,8]     [,9]    [,10]     [,11]    [,12]
[1,] 2.364062 1.952083 1.669444 0.6335063 1.293403
[2,] 3.635938 3.647917 3.930556 4.1664937 2.706597

$out
[1] 4

$group
[1] 2

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

Warning message:
In bxp(list(stats = c(0.7, 1.3, 1.6, 2, 3, 0.8, 1, 1.3, 1.9, 1.9,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5u5g91258142552.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,] -2.90 0.80 -0.40 0.40  1.5 -3.70
[2,] -0.70 1.25  1.10 0.80  2.2 -2.60
[3,]  1.20 2.05  2.85 1.95  2.6 -0.20
[4,]  3.05 3.60  4.10 2.45  2.9  1.45
[5,]  3.90 4.50  5.10 3.90  3.2  1.80

$n
[1] 12 12 12 12 12  4

$conf
           [,1]      [,2]    [,3]     [,4]     [,5]    [,6]
[1,] -0.5104002 0.9781492 1.48168 1.197424 2.280725 -3.3995
[2,]  2.9104002 3.1218508 4.21832 2.702576 2.919275  2.9995

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(-2.9, -0.7, 1.2, 3.05, 3.9, 0.8, 1.25, 2.05,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6632a1258142552.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,] 0.6260990 1.30 0.6250
[2,] 0.7873639 2.05 0.9500
[3,] 1.3922579 3.60 1.4000
[4,] 2.1107571 5.05 2.7875
[5,] 3.3886084 8.20 4.9500

$n
[1] 12 12 12

$conf
          [,1]    [,2]      [,3]
[1,] 0.7886494 2.23168 0.5619039
[2,] 1.9958665 4.96832 2.2380961

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(0.626099033699941, 0.787363912079394, 1.39225793442502,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/127zl1258142552.ps tmp/127zl1258142552.png")
> system("convert tmp/2vj4l1258142552.ps tmp/2vj4l1258142552.png")
> system("convert tmp/3duuc1258142552.ps tmp/3duuc1258142552.png")
> system("convert tmp/4wgyd1258142552.ps tmp/4wgyd1258142552.png")
> system("convert tmp/5u5g91258142552.ps tmp/5u5g91258142552.png")
> system("convert tmp/6632a1258142552.ps tmp/6632a1258142552.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.049   0.820   1.497