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(95.1,117.1,97,118.7,112.7,126.5,102.9,127.5,97.4,134.6,111.4,131.8,87.4,135.9,96.8,142.7,114.1,141.7,110.3,153.4,103.9,145,101.6,137.7,94.6,148.3,95.9,152.2,104.7,169.4,102.8,168.6,98.1,161.1,113.9,174.1,80.9,179,95.7,190.6,113.2,190,105.9,181.6,108.8,174.8,102.3,180.5,99,196.8,100.7,193.8,115.5,197,100.7,216.3,109.9,221.4,114.6,217.9,85.4,229.7,100.5,227.4,114.8,204.2,116.5,196.6,112.9,198.8,102,207.5,106,190.7,105.3,201.6,118.8,210.5,106.1,223.5,109.3,223.8,117.2,231.2,92.5,244,104.2,234.7,112.5,250.2,122.4,265.7,113.3,287.6,100,283.3,110.7,295.4,112.8,312.3,109.8,333.8,117.3,347.7,109.1,383.2,115.9,407.1,96,413.6,99.8,362.7,116.8,321.9,115.7,239.4,99.4,191,94.3,159.7,91,163.4),dim=c(2,61),dimnames=list(c('tot.industriële.productie','grondstoffen.inclusief.energie'),1:61))
>  y <- array(NA,dim=c(2,61),dimnames=list(c('tot.industriële.productie','grondstoffen.inclusief.energie'),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: 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/1464i1257801509.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,]  80.9 117.1
[2,]  99.0 161.1
[3,] 105.3 196.8
[4,] 112.9 234.7
[5,] 122.4 333.8

$n
[1] 61 61

$conf
         [,1]     [,2]
[1,] 102.4881 181.9108
[2,] 108.1119 211.6892

$out
[1] 347.7 383.2 407.1 413.6 362.7

$group
[1] 2 2 2 2 2

$names
[1] "tot.industri\353le.productie"   "grondstoffen.inclusief.energie"

> 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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2m2ae1257801509.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/3uodx1257801509.tab") 
> 
> system("convert tmp/1464i1257801509.ps tmp/1464i1257801509.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.375   0.167   0.569