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(97.33,91.4,97.89,91.1,98.69,104.4,99.01,97.6,99.18,93.7,98.45,104.5,98.13,95.4,98.29,86.5,99.1,102.9,99.26,101.9,98.85,103.7,98.05,100.7,98.53,94.2,99.34,93.6,100.14,104.7,100.3,101,100.22,97.6,99.9,105.8,99.58,93.7,99.9,91.2,100.78,106.3,100.78,103.4,100.46,107.4,100.06,101.2,100.28,96.9,100.78,96.3,101.58,109.8,102.06,97.9,102.02,105.1,101.68,107.9,101.32,95,101.81,95.2,102.3,105.8,102.12,110.1,102.1,112.2,101.75,102.5,101.5,103.7,102.16,102,103.47,112.3,104.05,103.3,104.09,106.9,103.55,104.6,102.77,100.7,102.89,99,103.6,106.5,103.76,114.9,103.92,114.1,103.35,102.2,103.32,107,104.2,107.4,105.44,107.4,105.81,110.1,106.25,105.6,105.94,110.9,105.82,101.9,105.96,93.2,106.49,110.5,106.32,113.1,105.88,101.7,105.07,96.7),dim=c(2,60),dimnames=list(c('consumptieprijsindex','industrieleproductie
'),1:60))
>  y <- array(NA,dim=c(2,60),dimnames=list(c('consumptieprijsindex','industrieleproductie
'),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/1owjf1257769786.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,]  97.330  86.50
[2,]  99.740  97.25
[3,] 101.715 103.10
[4,] 103.680 106.95
[5,] 106.490 114.90

$n
[1] 60 60

$conf
         [,1]     [,2]
[1,] 100.9113 101.1214
[2,] 102.5187 105.0786

$out
numeric(0)

$group
numeric(0)

$names
[1] "consumptieprijsindex"   "industrieleproductie\r"

Warning messages:
1: In axis(side = 1, at = 1:2, labels = c("consumptieprijsindex", "industrieleproductie\r" :
  font width unknown for character 0xd
2: In axis(side = 1, at = 1:2, labels = c("consumptieprijsindex", "industrieleproductie\r" :
  font width unknown for character 0xd
> 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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2arbj1257769786.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/3zdtu1257769786.tab") 
> 
> system("convert tmp/1owjf1257769786.ps tmp/1owjf1257769786.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.367   0.150   0.449