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(24158,24359,24628,25021,25315,25481,26043,26207,26466,26276,26236,26211,26265,25996,25794,25752,25491,25092,25759,25624,25138,25042,25014,25244,25493,25269,25170,25332,24966,24851,25518,25403,25028,24895,24905,25317,25718,25822,25967,25907,25940,26247,26900,26980,26677,26701,26808,27469,27586,27567,27508,27444,27380,27500,28217,28355,27627,27565,27496,27453,27705,27462,27152,27016,26836,26722,27391,27139,26644,26455,26294,26437,26954,26620,26307,26003,25798,25603,26242,26051,25658,25489,25425,25183,24774,24977,24980,25081,25240,25419,26309,26600,26690,26889,27109,27646,28330,28332,28202,28163,28077,28351,28950,28972,28812,28979,29112,29139),dim=c(1,108),dimnames=list(c('A'),1:108))
>  y <- array(NA,dim=c(1,108),dimnames=list(c('A'),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 = 'value'
> xlab = 'variables'
> 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/19n4s1444320433.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,] 24158.0
[2,] 25422.0
[3,] 26256.0
[4,] 27417.5
[5,] 29139.0

$n
[1] 108

$conf
         [,1]
[1,] 25952.61
[2,] 26559.39

$out
numeric(0)

$group
numeric(0)

$names
[1] "A"

> 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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/21h9a1444320433.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/3tlkt1444320433.tab") 
> 
> try(system("convert tmp/19n4s1444320433.ps tmp/19n4s1444320433.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.522   0.098   0.622