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(96.8,108.8,114.1,128.4,110.3,121.1,103.9,119.5,101.6,128.7,94.6,108.7,95.9,105.5,104.7,119.8,102.8,111.3,98.1,110.6,113.9,120.1,80.9,97.5,95.7,107.7,113.2,127.3,105.9,117.2,108.8,119.8,102.3,116.2,99,111,100.7,112.4,115.5,130.6,100.7,109.1,109.9,118.8,114.6,123.9,85.4,101.6,100.5,112.8,114.8,128,116.5,129.6,112.9,125.8,102,119.5,106,115.7,105.3,113.6,118.8,129.7,106.1,112,109.3,116.8,117.2,127,92.5,112.1,104.2,114.2,112.5,121.1,122.4,131.6,113.3,125,100,120.4,110.7,117.7,112.8,117.5,109.8,120.6,117.3,127.5,109.1,112.3,115.9,124.5,96,115.2,99.8,104.7,116.8,130.9,115.7,129.2,99.4,113.5,94.3,125.6,91,107.6,93.2,107,103.1,121.6,94.1,110.7,91.8,106.3,102.7,118.6,82.6,104.6,89.1,103.5),dim=c(2,61),dimnames=list(c('Tot_Industriele_productie','Tot_productie_consumptiegdn'),1:61))
>  y <- array(NA,dim=c(2,61),dimnames=list(c('Tot_Industriele_productie','Tot_productie_consumptiegdn'),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/1v84t1257945929.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  97.5
[2,]  98.1 111.0
[3,] 104.2 117.5
[4,] 112.9 124.5
[5,] 122.4 131.6

$n
[1] 61 61

$conf
         [,1]     [,2]
[1,] 101.2060 114.7690
[2,] 107.1940 120.2310

$out
numeric(0)

$group
numeric(0)

$names
[1] "Tot_Industriele_productie"   "Tot_productie_consumptiegdn"

> 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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2llf91257945929.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/3j46w1257945929.tab") 
> 
> system("convert tmp/1v84t1257945929.ps tmp/1v84t1257945929.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.365   0.148   0.450