R version 3.2.2 (2015-08-14) -- "Fire Safety"
Copyright (C) 2015 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- array(list(80.44,80.9,81.03,81.6,81.56,82.08,83.44,83.55,82.63,82.43,82.42,82.48,82.51,83.23,83.41,83.88,83.96,84.32,85.82,85.72,84.36,84.36,84.36,85.08,84.95,85.62,86.22,86.4,86.71,87.51,89.22,89.43,88.24,88.9,88.78,89.25,88.8,89.46,89.66,90.29,90.08,90.42,92.14,92.09,91.35,91.22,90.99,91.48,90.98,91.52,91.62,92.12,92.26,92.18,94.12,93.82,93.2,93.34,93.11,93.63,93.29,93.69,94.19,94.82,94.52,94.94,96.87,96.6,95.43,95.56,95.37,96,95.6,96.17,96.26,97.2,97.23,97.74,99.37,99.37,98.22,98.27,97.98,98.53,97.98,98.63,98.74,99.37,99.51,99.66,101.62,101.71,100.49,100.81,100.48,101.01,100.62,101.12,101.45,101.34,101.39,101.93,102.42,102.18,102.72,102.43,102.35,102.69),dim=c(1,108),dimnames=list(c('V1'),1:108))
>  y <- array(NA,dim=c(1,108),dimnames=list(c('V1'),1:108))
>  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 = 'Consumptieprijzenindex'
> xlab = 'Reeks'
> main = 'Box-plot horeca'
> 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/1pef71444395480.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,]  80.440
[2,]  86.310
[3,]  92.685
[4,]  98.245
[5,] 102.720

$n
[1] 108

$conf
         [,1]
[1,] 90.87046
[2,] 94.49954

$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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2t9pi1444395480.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/3aq3k1444395480.tab") 
> 
> try(system("convert tmp/1pef71444395480.ps tmp/1pef71444395480.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.602   0.119   0.723