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(72.84,73.96,73.26,73.86,73.04,212.8,157.92,111.55,99.01,89.5,100.95,116.06,131.5,137.43,138.53,137.26,136.81,182.98,149.45,109.34,93.37,84.09,83.83,82.94,82.88,81.41,79.87,79.66,76.07,182.69,165.78,142.5,120.6,105.73,98.72,98.41,96.08,97.3,97.5,97.02,98.75,232.81,240.83,193.4,148.28,138.34,135.34,134.02,133.86,131.67,132.43,130.21,129.98,206.16,195.17,159.16,136.33,125.18,121.21,119.38,119.26,119.75,118.78,116.97,121.69,223.51,228.58,205.22,189.4,180.14,177.59,176.39,171.16,173.11,171.74,175.97,179.64,254.62,240.5,212.01,176.36,153.24,146.69,141.52,142.6,143.19,142.32,142.03,144.92,177.31,194.4,189.19,180.44,175.84,178.54,176.55),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/1u76z1250428266.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,]  72.840
[2,] 103.340
[3,] 137.345
[4,] 176.470
[5,] 254.620

$n
[1] 96

$conf
         [,1]
[1,] 125.5522
[2,] 149.1378

$out
numeric(0)

$group
numeric(0)

$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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/20tox1250428267.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/329qp1250428267.tab") 
> 
> system("convert tmp/1u76z1250428266.ps tmp/1u76z1250428266.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.357   0.146   2.748