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(100.71,100.75,100.75,100.70,100.77,100.44,100.17,100.21,100.27,100.29,100.33,100.35,100.94,101.07,101.01,100.86,100.71,99.95,100.02,100.03,100.04,99.73,99.76,99.83,100.08,99.35,99.43,99.53,99.03,99.05,99.07,99.23,99.03,99.06,99.13,99.14,100.91,100.97,100.55,100.68,100.31,100.31,99.28,99.24,99.29,99.27,99.26,99.25,99.57,98.97,99.00,98.88,98.90,98.92,98.80,98.83,98.88,98.88,98.89,98.89,99.05,99.20,99.13,98.92,98.98,98.99,99.08,99.10,99.10,99.06,99.05,99.11,99.75,99.80,99.95,99.69,99.55,99.14,99.05,99.00,99.03,99.16,99.01,99.00,99.90,100.18,100.20,100.13,99.85,99.88,99.88,99.89,99.96,100.05,100.04,100.06,99.72,99.70,99.63,99.73,99.77,99.76,99.61,99.61,99.59,99.42,99.52,99.46),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 = 'Scores'
> xlab = 'Reeks'
> 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/1196g1444492065.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,]  98.800
[2,]  99.075
[3,]  99.610
[4,] 100.070
[5,] 101.070

$n
[1] 108

$conf
         [,1]
[1,] 99.45872
[2,] 99.76128

$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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2465e1444492065.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/3v9ys1444492065.tab") 
> 
> try(system("convert tmp/1196g1444492065.ps tmp/1196g1444492065.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.526   0.109   0.636