R version 2.7.1 (2008-06-23)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(81.6,113.8,97.6,120.1,101.9,97.6,150,143.8,103.7,115.3,87.4,97.6,84,96.1,88,120.6,121.1,109.7,149.2,156.5,109.3,102,90,85.9,88.4,88.4,100,120.6,103.3,107.1,168.1,172.1,104.9,112.8,88.8,109,89.5,90.2,91.2,116.9,106.1,106.1,170.4,163.9,108,118.6,94.7,101.4,94.86,101.61,96.04,115.96,123.87,115.59,178.58,184.31,115.59,117.91,95.22,113.49,97.84,97.84,98.82,142.58,122.57,122.29,167.48,176.09,121.78,122.6,107.8,116.77,99.56,103.41,107.77,139.17,130.56,125.18,181.69,194.7,125.18,123.54,112.25,123.21,109.02,115.97,118.71,126.4,129.39,128.97,192.64,188.1,128.03,132.42,114.73,123.82),dim=c(1,96),dimnames=list(c(''),1:96))
>  y <- array(NA,dim=c(1,96),dimnames=list(c(''),1:96))
>  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/1wbp61218282289.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]
[1,]  81.600
[2,]  99.780
[3,] 115.015
[4,] 125.790
[5,] 163.900

$n
[1] 96

$conf
         [,1]
[1,] 110.8207
[2,] 119.2093

$out
 [1] 168.10 172.10 170.40 178.58 184.31 167.48 176.09 181.69 194.70 192.64
[11] 188.10

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

$names
[1] "V1"

> 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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2xryr1218282289.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/3i4d91218282289.tab") 
> 
> system("convert tmp/1wbp61218282289.ps tmp/1wbp61218282289.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.579   0.164   0.656