R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(110.40,109.20,96.40,88.60,101.90,94.30,106.20,98.30,81.00,86.40,94.70,80.60,101.00,104.10,109.40,108.20,102.30,93.40,90.70,71.90,96.20,94.10,96.10,94.90,106.00,96.40,103.10,91.10,102.00,84.40,104.70,86.40,86.00,88.00,92.10,75.10,106.90,109.70,112.60,103.00,101.70,82.10,92.00,68.00,97.40,96.40,97.00,94.30,105.40,90.00,102.70,88.00,98.10,76.10,104.50,82.50,87.40,81.40,89.90,66.50,109.80,97.20,111.70,94.10,98.60,80.70,96.90,70.50,95.10,87.80,97.00,89.50,112.70,99.60,102.90,84.20,97.40,75.10,111.40,92.00,87.40,80.80,96.80,73.10,114.10,99.80,110.30,90.00,103.90,83.10,101.60,72.40,94.60,78.80,95.90,87.30,104.70,91.00,102.80,80.10,98.10,73.60,113.90,86.40,80.90,74.50,95.70,71.20,113.20,92.40,105.90,81.50,108.80,85.30,102.30,69.90,99.00,84.20,100.70,90.70,115.50,100.30),dim=c(2,61),dimnames=list(c('totaal','kleding'),1:61))
>  y <- array(NA,dim=c(2,61),dimnames=list(c('totaal','kleding'),1:61))
>  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: Wessa P., (2007), Notched Boxplots (v1.0.4) 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
> #Technical description: Write here your technical program description
> z <- as.data.frame(t(y))
> postscript(file="/var/www/html/rcomp/tmp/18kb31193159129.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,]  86.0  66.5
[2,]  96.2  80.6
[3,] 101.7  87.3
[4,] 106.0  94.1
[5,] 115.5 109.7

$n
[1] 61 61

$conf
          [,1]     [,2]
[1,]  99.71748 84.56897
[2,] 103.68252 90.03103

$out
[1] 81.0 80.9

$group
[1] 1 1

$names
[1] "totaal"  "kleding"

> dev.off()
null device 
          1 
> 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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/20c7d1193159129.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/3bjg21193159129.tab") 
> 
> system("convert tmp/18kb31193159129.ps tmp/18kb31193159129.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.205   0.241   1.241