R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- array(list(299.81,299.01,296.82,296.67,296.95,296.80,296.80,295.93,293.77,291.02,288.61,284.55,284.55,278.14,273.28,270.14,268.36,267.15,267.15,265.47,261.75,256.51,252.98,251.17,251.17,244.27,240.54,238.92,237.47,235.91,235.91,231.41,224.94,222.19,219.06,217.83,217.83,216.89,213.84,212.90,213.98,215.31,215.31,214.09,213.71,211.54,209.40,207.33,207.33,202.75,200.26,198.99,198.82,198.43,198.43,195.68,195.45,193.65,191.38,189.71,189.71,185.49,183.01,182.38,181.60,182.13,182.13,180.81,180.25,179.84,178.50,178.11,178.11,178.10,177.52,177.34,175.53,176.01,175.94,175.47,175.48,173.76,173.74,173.65,172.00,171.50,170.41,171.50,171.43,170.69,170.40,169.90,170.21,170.55,169.98,169.34),dim=c(1,96),dimnames=list(c('V1'),1:96))
>  y <- array(NA,dim=c(1,96),dimnames=list(c('V1'),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 = 'prijs in euro'
> xlab = 'variables'
> main = 'Notched Boxplots'
> par1 <- 'grey'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Notched Boxplots (v1.0.6) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_notchedbox1.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> z <- as.data.frame(t(y))
> postscript(file="/var/wessaorg/rcomp/tmp/14p5x1423574504.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]
[1,] 169.34
[2,] 178.11
[3,] 207.33
[4,] 251.17
[5,] 299.81

$n
[1] 96

$conf
         [,1]
[1,] 195.5485
[2,] 219.1115

$out
numeric(0)

$group
numeric(0)

$names
[1] "V1"

> 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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2k7ht1423574504.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/3u6iy1423574504.tab") 
> 
> try(system("convert tmp/14p5x1423574504.ps tmp/14p5x1423574504.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.602   0.116   0.715