R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- array(list(90.0,85.0,80.0,60.0,60.0,50.0,50.0,50.0,48.0,45.5,45.0,42.0,40.0,40.0,40.0,37.3,35.0,32.8,31.6,31.6,31.0,31.0,30.9,30.0,30.0,30.0,29.8,28.0,27.7,27.2,26.9,26.6,25.0,23.8,23.0,22.0,22.0,21.0,21.0,21.0,20.0,20.0,20.0,20.0,19.9,19.2,18.7,18.0,18.0,18.0,17.4,17.1,17.1,17.0,17.0,16.0,16.0,15.0,15.0,15.0,14.6,14.3,14.2,14.0,13.0,13.0,13.0,13.0,12.9,12.6,12.5,12.5,12.3,12.2,12.2,12.0,12.0,11.8,11.8,11.8,10.5,10.5,10.4,10.4,11.2,11.0,11.0,10.7,10.7,10.3,10.2,10.2,10.1,10.0,10.0,9.8,9.8,9.6,9.5,9.5,9.3,9.2,9.0,8.9,8.8,8.7,8.6,8.5,8.4,8.3,8.1,8.1,8.0,8.0,8.0,8.0,8.0,7.9,7.7,7.7,7.6,7.6,7.5,7.5,7.5,7.5,7.3,7.3,7.0,6.7,6.6,6.6,6.6,6.5,6.3,6.2,6.1,6.0,5.9,5.9,5.6,5.6,5.6,5.5,5.2,5.0,4.8,4.8,4.8,4.7,3.3,4.6,4.5,4.5,4.4,4.3,4.2,4.1,4.1,4.1,3.8,3.7,3.7,3.6,3.6,3.1,3.1,3.0,2.9,2.7,2.6,2.5,2.5,2.4,2.4,2.4,2.2,2.1,2.1,2.0,2.0,1.9,1.8,1.6,1.3,1.1,1.0,0.9,0.7,0.6,0.5,0.0,0.0),dim=c(1,193),dimnames=list(c('werkloosheidsgraad'),1:193))
>  y <- array(NA,dim=c(1,193),dimnames=list(c('werkloosheidsgraad'),1:193))
>  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'
> par1 <- 'grey'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Notched Boxplots (v1.0.6) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_notchedbox1.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> z <- as.data.frame(t(y))
> postscript(file="/var/wessaorg/rcomp/tmp/1l18a1354790808.ps",horizontal=F,onefile=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]
[1,]  0.0
[2,]  5.2
[3,]  9.8
[4,] 18.0
[5,] 35.0

$n
[1] 193

$conf
          [,1]
[1,]  8.344245
[2,] 11.255755

$out
 [1] 90.0 85.0 80.0 60.0 60.0 50.0 50.0 50.0 48.0 45.5 45.0 42.0 40.0 40.0 40.0
[16] 37.3

$group
 [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

$names
[1] "werkloosheidsgraad"

> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2eiwy1354790808.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/wessaorg/rcomp/tmp/3eea11354790808.tab") 
> 
> try(system("convert tmp/1l18a1354790808.ps tmp/1l18a1354790808.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.959   0.171   1.078