R version 2.6.1 (2007-11-26)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(4356.5,4340.3,4321.5,4302.8,4285.7,4270.5,4253,4236.9,4231.6,4223.7,4209.2,4192.5,4178.5,4167,4159,4148.1,4142.7,4147.6,4146.1,4141,4142.4,4149,4145.3,4154.7,4157.9,4146.7,4140.1,4125.8,4102.7,4076.7,4060.5,4041.7,4016.2,3997.2,3993,3991.3,3971.8,3947.3,3929.8,3914.7,3902.8,3893.3,3887.1,3881.8,3883.4,3883.2,3876.4,3872.4,3872.6,3868.7,3858.7,3818.2,3810.3,3806.8,3811.4,3818.2,3826.8,3833.6,3833,3839.5,3855.1,3860.4,3855.8,3856.3,3861.6,3858.4,3854.1,3851.8,3851.3,3844.8,3833.3,3826.9,3813.1,3795.5,3779.7,3765.5,3747.7,3735.4,3735.8,3705.8,3674.3,3665.8,3652.5,3649.7,3649.5,3647.3,3646.8,3640.6,3629.5,3618.4,3611.9,3611.4,3607.7,3606.9,3603.9,3596.9,3604.2,3612.2,3623.5,3639,3647.5,3660.6,3679.4,3691.4,3697.4,3707.1,3722.7),dim=c(1,107),dimnames=list(c('werkgelegenheid'),1:107))
>  y <- array(NA,dim=c(1,107),dimnames=list(c('werkgelegenheid'),1:107))
>  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 = 'werkgelegenheid'
> xlab = 'reeks'
> main = 'Notched Boxplots'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: Wessa P., (2007), Notched Boxplots (v1.0.4) 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
> #Technical description: Write here your technical program description
> z <- as.data.frame(t(y))
> postscript(file="/var/www/html/rcomp/tmp/1vqph1204543739.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,] 3596.90
[2,] 3714.90
[3,] 3858.40
[4,] 4132.95
[5,] 4356.50

$n
[1] 107

$conf
         [,1]
[1,] 3794.545
[2,] 3922.255

$out
numeric(0)

$group
numeric(0)

$names
[1] "werkgelegenheid"

> dev.off()
null device 
          1 
> 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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/23um51204543739.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/3m8441204543739.tab") 
> 
> system("convert tmp/1vqph1204543739.ps tmp/1vqph1204543739.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.587   0.158   0.680