R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
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Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
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Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list(153.4
+ ,174.1
+ ,145.3
+ ,145.9
+ ,159.5
+ ,180.4
+ ,143.6
+ ,158.5
+ ,157.4
+ ,182.6
+ ,142.8
+ ,152.2
+ ,169.1
+ ,207.1
+ ,155.9
+ ,153.7
+ ,172.6
+ ,213.7
+ ,156.2
+ ,157.9
+ ,161.7
+ ,186.5
+ ,149.8
+ ,154.4
+ ,159.2
+ ,179.1
+ ,152.7
+ ,150.7
+ ,157.4
+ ,168.3
+ ,155.5
+ ,151.2
+ ,153.9
+ ,156.5
+ ,159.3
+ ,147.3
+ ,144.8
+ ,144.3
+ ,143
+ ,146.6
+ ,142.2
+ ,138.9
+ ,141.4
+ ,145.2
+ ,140.1
+ ,137.8
+ ,142.8
+ ,139.3
+ ,143.4
+ ,136.3
+ ,146.4
+ ,145.7
+ ,153.3
+ ,140.3
+ ,152.3
+ ,163.3
+ ,166.9
+ ,149.1
+ ,164.3
+ ,181.8
+ ,170.6
+ ,149.2
+ ,168
+ ,188.1
+ ,182.8
+ ,140.4
+ ,171.3
+ ,222.9
+ ,170.3
+ ,129
+ ,162.7
+ ,206.3
+ ,156.6
+ ,124.7
+ ,150.2
+ ,184.9
+ ,155.2
+ ,130.8
+ ,142.5
+ ,183.6
+ ,154.7
+ ,130.1
+ ,138.2
+ ,186.6
+ ,151.6
+ ,133.2
+ ,138
+ ,176.5
+ ,152.1
+ ,130.1
+ ,145.1
+ ,173.9
+ ,153.2
+ ,126.6
+ ,138.4
+ ,184.9
+ ,149.5
+ ,124.8
+ ,131.8
+ ,182.5
+ ,149.7
+ ,125.3
+ ,130.8
+ ,183.6
+ ,144.3
+ ,126.9
+ ,126.3
+ ,172.4
+ ,140
+ ,120.1
+ ,123
+ ,168.9
+ ,137.8
+ ,118.7
+ ,124
+ ,163.3
+ ,132.2
+ ,117.7
+ ,120.8
+ ,152.4
+ ,128.9
+ ,113.4
+ ,122.1
+ ,145.8
+ ,123.1
+ ,107.5
+ ,106.5
+ ,148.6
+ ,120.4
+ ,107.6
+ ,104.3
+ ,143.4
+ ,122.8
+ ,114.3
+ ,108.7
+ ,141.2
+ ,126
+ ,114.9
+ ,113.8
+ ,144.6
+ ,124.5
+ ,111.2
+ ,112.5
+ ,144.5
+ ,120.6
+ ,109.9
+ ,106.1
+ ,140.8
+ ,114.7
+ ,108.6
+ ,98.4
+ ,133.3
+ ,111.7
+ ,109.2
+ ,96
+ ,127.3
+ ,109.1
+ ,106.4
+ ,99.3
+ ,119.6
+ ,108
+ ,103.7
+ ,97.5
+ ,120.2
+ ,107.7
+ ,103
+ ,95.3
+ ,121.9
+ ,99.9
+ ,96.9
+ ,88
+ ,112.4
+ ,103.7
+ ,104.7
+ ,94.7
+ ,111
+ ,103.4
+ ,102.2
+ ,99.4
+ ,107.8
+ ,103.4
+ ,99
+ ,98.9
+ ,110.5
+ ,104.7
+ ,95.8
+ ,96.4
+ ,118.3
+ ,105.8
+ ,94.5
+ ,95.3
+ ,123
+ ,105.3
+ ,102.7
+ ,99.5
+ ,112.1
+ ,103
+ ,103.2
+ ,101.6
+ ,104.2
+ ,103.8
+ ,105.6
+ ,103.9
+ ,102.4
+ ,103.4
+ ,103.9
+ ,106.6
+ ,100.3
+ ,105.8
+ ,107.2
+ ,108.3
+ ,102.6
+ ,101.4
+ ,100.7
+ ,102
+ ,101.5
+ ,97
+ ,92.1
+ ,93.8
+ ,103.4
+ ,94.3
+ ,90.3
+ ,91.6
+ ,99.4
+ ,96.6
+ ,93.4
+ ,97.7
+ ,97.9
+ ,97.1
+ ,98.5
+ ,94.8
+ ,98
+ ,95.7
+ ,100.8
+ ,98
+ ,90.2
+ ,96.9
+ ,102.3
+ ,103.8
+ ,87.1
+ ,97.4
+ ,104.7
+ ,97.8
+ ,91.8
+ ,95.3
+ ,101.1
+ ,91.2
+ ,94.8
+ ,93.6
+ ,101.4
+ ,89.3
+ ,91.8
+ ,91.5
+ ,99.5
+ ,87.5
+ ,89.3
+ ,93.1
+ ,98.4
+ ,90.4
+ ,91.7
+ ,91.7
+ ,96.3
+ ,94.2
+ ,86.2
+ ,94.3
+ ,100.7
+ ,102.2
+ ,82.8
+ ,93.9
+ ,101.2
+ ,101.3
+ ,82.3
+ ,90.9
+ ,100.3
+ ,96
+ ,79.8
+ ,88.3
+ ,97.8
+ ,90.8
+ ,79.4
+ ,91.3
+ ,97.4
+ ,93.2
+ ,85.3
+ ,91.7
+ ,98.6
+ ,90.9
+ ,87.5
+ ,92.4
+ ,99.7
+ ,91.1
+ ,88.3
+ ,92
+ ,99
+ ,90.2
+ ,88.6
+ ,95.6
+ ,98.1
+ ,94.3
+ ,94.9
+ ,95.8
+ ,97
+ ,96
+ ,94.7
+ ,96.4
+ ,98.5
+ ,99
+ ,92.6
+ ,99
+ ,103.8
+ ,103.3
+ ,91.8
+ ,107
+ ,114.4
+ ,113.1
+ ,96.4
+ ,109.7
+ ,124.5
+ ,112.8
+ ,96.4
+ ,116.2
+ ,134.2
+ ,112.1
+ ,107.1
+ ,115.9
+ ,131.8
+ ,107.4
+ ,111.9
+ ,113.8
+ ,125.6
+ ,111
+ ,107.8
+ ,112.6
+ ,119.9
+ ,110.5
+ ,109.2
+ ,113.7
+ ,114.9
+ ,110.8
+ ,115.3
+ ,115.9
+ ,115.5
+ ,112.4
+ ,119.2
+ ,110.3
+ ,112.5
+ ,111.5
+ ,107.8
+ ,111.3
+ ,111.4
+ ,116.2
+ ,106.8
+ ,113.4
+ ,115.3
+ ,122.5
+ ,104.2
+ ,108.2
+ ,110.8
+ ,121.3
+ ,94.8
+ ,104.8
+ ,103.7
+ ,113.9
+ ,97.5
+ ,106
+ ,111.1
+ ,110.7
+ ,98.3
+ ,110.9
+ ,113
+ ,120.8
+ ,100.6
+ ,115
+ ,111.2
+ ,141.1
+ ,94.9
+ ,118.4
+ ,117.6
+ ,147.4
+ ,93.6
+ ,121.4
+ ,121.7
+ ,148
+ ,98
+ ,128.8
+ ,127.3
+ ,158.1
+ ,104.3
+ ,131.7
+ ,129.8
+ ,165
+ ,103.9
+ ,141.7
+ ,137.1
+ ,187
+ ,105.3
+ ,142.9
+ ,141.4
+ ,190.3
+ ,102.6
+ ,139.4
+ ,137.4
+ ,182.4
+ ,103.3
+ ,134.7
+ ,130.7
+ ,168.8
+ ,107.9
+ ,125
+ ,117.2
+ ,151.2
+ ,107.8
+ ,113.6
+ ,110.8
+ ,120.1
+ ,109.8
+ ,111.5
+ ,111.4
+ ,112.5
+ ,110.6
+ ,108.5
+ ,108.2
+ ,106.2
+ ,110.8
+ ,112.3
+ ,108.8
+ ,107.1
+ ,119.3
+ ,116.6
+ ,110.2
+ ,108.5
+ ,128.1
+ ,115.5
+ ,109.5
+ ,106.5
+ ,127.6
+ ,120.1
+ ,109.5
+ ,108.3
+ ,137.9
+ ,132.9
+ ,116
+ ,125.6
+ ,151.4
+ ,128.1
+ ,111.2
+ ,124
+ ,143.6
+ ,129.3
+ ,112.1
+ ,127.2
+ ,143.4
+ ,132.5
+ ,114
+ ,136.9
+ ,141.9
+ ,131
+ ,119.1
+ ,135.8
+ ,135.2
+ ,124.9
+ ,114.1
+ ,124.3
+ ,133.1
+ ,120.8
+ ,115.1
+ ,115.4
+ ,129.6
+ ,122
+ ,115.4
+ ,113.6
+ ,134.1
+ ,122.1
+ ,110.8
+ ,114.4
+ ,136.8
+ ,127.4
+ ,116
+ ,118.4
+ ,143.5
+ ,135.2
+ ,119.2
+ ,117
+ ,162.5
+ ,137.3
+ ,126.5
+ ,116.5
+ ,163.1
+ ,135
+ ,127.8
+ ,115.4
+ ,157.2
+ ,136
+ ,131.3
+ ,113.6
+ ,158.8
+ ,138.4
+ ,140.3
+ ,117.4
+ ,155.4
+ ,134.7
+ ,137.3
+ ,116.9
+ ,148.5
+ ,138.4
+ ,143
+ ,116.4
+ ,154.2
+ ,133.9
+ ,134.5
+ ,111.1
+ ,153.3
+ ,133.6
+ ,139.9
+ ,110.2
+ ,149.4
+ ,141.2
+ ,159.3
+ ,118.9
+ ,147.9
+ ,151.8
+ ,170.4
+ ,131.8
+ ,156
+ ,155.4
+ ,175
+ ,130.6
+ ,163
+ ,156.6
+ ,175.8
+ ,138.3
+ ,159.1
+ ,161.6
+ ,180.9
+ ,148.4
+ ,159.5
+ ,160.7
+ ,180.3
+ ,148.7
+ ,157.3
+ ,156
+ ,169.6
+ ,144.3
+ ,156.4
+ ,159.5
+ ,172.3
+ ,152.5
+ ,156.6
+ ,168.7
+ ,184.8
+ ,162.9
+ ,162.4
+ ,169.9
+ ,177.7
+ ,167.2
+ ,166.8
+ ,169.9
+ ,184.6
+ ,166.5
+ ,162.6
+ ,185.9
+ ,211.4
+ ,185.6
+ ,168.1)
+ ,dim=c(4
+ ,141)
+ ,dimnames=list(c('Totaal'
+ ,'Graan'
+ ,'Olie'
+ ,'Suiker')
+ ,1:141))
>  y <- array(NA,dim=c(4,141),dimnames=list(c('Totaal','Graan','Olie','Suiker'),1:141))
>  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: 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/1uope1196418593.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]  [,2]  [,3]  [,4]
[1,]  88.3  90.3  87.5  79.4
[2,] 105.8 104.7 102.2 102.6
[3,] 122.1 115.3 115.4 128.1
[4,] 143.4 136.3 142.8 154.2
[5,] 185.9 182.6 190.3 222.9

$n
[1] 141 141 141 141

$conf
         [,1]     [,2]     [,3]     [,4]
[1,] 117.0969 111.0953 109.9978 121.2341
[2,] 127.1031 119.5047 120.8022 134.9659

$out
[1] 207.1 213.7 186.5 184.8 184.6 211.4

$group
[1] 2 2 2 2 2 2

$names
[1] "Totaal" "Graan"  "Olie"   "Suiker"

> 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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2fe6c1196418593.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/3pg9y1196418593.tab") 
> 
> system("convert tmp/1uope1196418593.ps tmp/1uope1196418593.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.674   0.152   0.833