R version 3.2.3 (2015-12-10) -- "Wooden Christmas-Tree"
Copyright (C) 2015 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- array(list(99.13,100.46,101.83,100.82,100.99,99.11,98.99,99.8,100.3,101.56,98.83,101.29,98.24,98.37,99.68,97.8,98.34,98.06,97.19,99.44,99.04,100.81,98.49,101.03,98.59,101.07,99.28,101.65,100.59,101.84,100.27,100.04,97.78,97.59,97.68,100.56,98.9,100.08,101.7,100.9,100.67,100.51,100.01,99.8,97.7,98.14,101.77,99.82,100.03,101.83,98.25,99.88,98.96,98.37,97.52,99.59,97.99,100.68,100.39,99.31,96.93,102.06,97.9,102.29,100.55,100.77,100.68,100.75,100.21,99.85,100.59,101.45),dim=c(1,72),dimnames=list(c('V1'),1:72))
>  y <- array(NA,dim=c(1,72),dimnames=list(c('V1'),1:72))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par2 = 'no'
> par1 = 'grey'
> ylab = 'Prijs (euro)'
> xlab = 'Reeks fictieboeken'
> main = 'Boxplot fictieboeken'
> par2 <- 'no'
> par1 <- 'grey'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 (Mon, 28 Dec 2015 11:07:50 +0000)
> #Author: root
> #To cite this work: Wessa P., (2015), Notched Boxplots (v1.0.7) 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
> #
> if(par2=='yes') {
+ z <- na.omit(as.data.frame(t(y)))
+ } else {
+ z <- as.data.frame(t(y))
+ }
> postscript(file="/var/wessaorg/rcomp/tmp/1h8s01456593945.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,]  96.930
[2,]  98.540
[3,]  99.945
[4,] 100.760
[5,] 102.290

$n
[1] 72

$conf
          [,1]
[1,]  99.53163
[2,] 100.35837

$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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/27mfu1456593945.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/37bd51456593945.tab") 
> 
> try(system("convert tmp/1h8s01456593945.ps tmp/1h8s01456593945.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.516   0.119   0.633