R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- array(list(14,16,18,15,11,16,12,15,16,14,18,15,14,14,14,13,15,7,15,17,17,13,19,15,10,14,16,13,18,16,14,12,14,14,17,17,14,15,16,17,18,12,11,16,14,11,12,15,17,9,9,16,16,15,14,10,15,10,11,15,16,11,13,13,17,14,15,18,14,16,16,14,9,14,15,14,17,14,13,12,15,14,16,15,16,15,12,15,12,13,11,17,15,17,15,19,17,15,13,13,16,9,14,15,11,15,12,15,12,16,15,11,16,14,15,11,12,15,12,13,8,15,13,16,11,14,14,15,15,16,10,16,11,11,12,12,15,9,15,16,14,13,16,16,15,12,15,9,13,13,12,13,17,14,13,19,15,13,13,12,15,13),dim=c(2,81),dimnames=list(c('Happiness1','Happiness2'),1:81))
>  y <- array(NA,dim=c(2,81),dimnames=list(c('Happiness1','Happiness2'),1:81))
>  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/wessaorg/rcomp/tmp/14gk61324681762.ps",horizontal=F,onefile=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,]    8   10
[2,]   12   13
[3,]   14   14
[4,]   16   15
[5,]   19   18

$n
[1] 81 81

$conf
         [,1]     [,2]
[1,] 13.29778 13.64889
[2,] 14.70222 14.35111

$out
[1]  7  9 19  9  9  9 19

$group
[1] 2 2 2 2 2 2 2

$names
[1] "Happiness1" "Happiness2"

> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2qf641324681762.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/wessaorg/rcomp/tmp/3uzll1324681762.tab") 
> 
> try(system("convert tmp/14gk61324681762.ps tmp/14gk61324681762.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.436   0.092   0.522