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 <- array(list(3.6,3.9,3.2,4.1,4.4,3.7,3.8,4.1,3.5,3.7,4.1,3.4,3.6,3.8,3.3,3.3,3.4,3.1,3.4,3.4,3.4,3.7,3.6,3.9,3.7,3.6,3.8,3.4,3.4,3.4,3.3,3.3,3.3,3,3.1,3,3,3.2,2.9,3.3,3.4,3.1,3,3.1,2.9,2.9,3,2.8,2.8,2.8,2.7,2.5,2.5,2.5,2.6,2.5,2.7,2.8,2.6,3.1,2.7,2.5,3,2.4,2.3,2.5,2.2,2.2,2.3,2.1,2.1,2.1,2.1,2.1,2,2.3,2.3,2.3,2.1,2.2,2.1,2,2.1,2,1.9,1.9,1.9,1.7,1.7,1.8,1.8,1.7,1.9,2.1,1.9,2.3,2,1.8,2.2,1.8,1.7,1.9,1.7,1.6,1.7,1.6,1.6,1.6,1.6,1.6,1.5,1.8,1.9,1.7,1.7,1.8,1.6,1.7,1.8,1.6,1.5,1.6,1.5,1.5,1.5,1.4,1.5,1.5,1.6,1.8,1.7,1.9,1.8,1.7,1.8,1.7,1.7,1.6,1.7,1.8,1.6,1.8,2,1.6,2,2.3,1.7,2.5,3,2,2.6,3.2,1.9,2.7,3.4,2,2.8,3.5,2.1,2.6,3.2,2,2.7,3.2,2.2,3,3.4,2.6,3,3.3,2.6,2.7,3.1,2.2,2.6,3.1,2.1,2.6,3.1,2.1),dim=c(3,60),dimnames=list(c('werkloosheidtot','werkloosheidman','werkloosheidvrouw'),1:60))
>  y <- array(NA,dim=c(3,60),dimnames=list(c('werkloosheidtot','werkloosheidman','werkloosheidvrouw'),1:60))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par1 = 'grey'
> 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/1fcfv1260272709.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] [,3]
[1,] 1.50  1.5 1.40
[2,] 1.80  1.8 1.85
[3,] 2.55  2.5 2.15
[4,] 3.00  3.3 2.95
[5,] 4.10  4.4 3.90

$n
[1] 60 60 60

$conf
         [,1]     [,2]     [,3]
[1,] 2.305227 2.194034 1.925625
[2,] 2.794773 2.805966 2.374375

$out
numeric(0)

$group
numeric(0)

$names
[1] "werkloosheidtot"   "werkloosheidman"   "werkloosheidvrouw"

> 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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2jx151260272709.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/3rnlv1260272709.tab") 
> 
> system("convert tmp/1fcfv1260272709.ps tmp/1fcfv1260272709.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.374   0.156   0.453