R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(25,27,27,25,25,20,23,19,24,19,24,17,26,12,25,13,24,13,24,11,22,4,22,8,22,1,27,5,24,4,24,3,22,4,23,2,25,8,23,-2,21,1,21,0,22,1,20,7,22,1,22,0,20,-3,21,0,20,3,21,1,21,3,21,2,19,6,21,2,21,3,22,9,19,12,24,8,22,7,22,9,22,11,24,13,22,9,23,9,24,13,21,14,20,16,22,20,23,19,23,18,22,18,20,19,21,16,21,10,20,11,20,17,17,3,18,14,19,15,19,17,20,20,21,19,20,21,21,17,19,15,22,18,20,19,18,16,16,21,17,26,18,23,19,24,18,23,20,19,21,25,18,21,19,19,19,20,19,20,21,17,19,25,19,19,17,13,16,15,16,15,17,13,16,11,15,9,16,2,16,-2,16,-4,18,-2),dim=c(2,92),dimnames=list(c('Financ','Aankoop'),1:92))
>  y <- array(NA,dim=c(2,92),dimnames=list(c('Financ','Aankoop'),1:92))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par1 = 'white'
> ylab = 'value'
> xlab = 'variables'
> main = 'Notched Boxplots'
> #'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!)
> z <- as.data.frame(t(y))
> postscript(file="/var/www/html/rcomp/tmp/1eyk51227887660.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> (r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,col=par1))
$stats
     [,1] [,2]
[1,]   15   -4
[2,]   19    4
[3,]   21   13
[4,]   22   19
[5,]   26   27

$n
[1] 92 92

$conf
         [,1]     [,2]
[1,] 20.50582 10.52910
[2,] 21.49418 15.47090

$out
[1] 27 27

$group
[1] 1 1

$names
[1] "Financ"  "Aankoop"

> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ for (j in 1:5)
+ {
+ a<-table.element(a,r$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2qyjl1227887660.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$conf[1,i])
+ a<-table.element(a,r$stats[3,i])
+ a<-table.element(a,r$conf[2,i])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/30b1f1227887661.tab") 
> 
> system("convert tmp/1eyk51227887660.ps tmp/1eyk51227887660.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.369   0.159   0.424