R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- array(list(40927,40856,40778,40635,42103,42032,40927,40194,40265,40265,40336,40486,40856,40414,40856,40486,41661,42181,39973,39381,39894,39823,39381,39453,40336,40194,40336,40336,41298,41440,38790,38790,39823,39310,38427,38790,39674,39232,39161,38206,39602,39894,37023,36952,38427,37615,36218,36810,37465,37615,37173,36290,38128,38128,34893,34673,35556,33939,32314,32835,33939,33055,32464,31210,32906,32977,29743,29664,30256,28418,26430,27235,28339,27164,27093,25910,27826,28197,24585,23780,24293,22305,20246,20909,22156,20688,20909,20026,21864,22084,17668,17375,18180,16050,14134,14797,16414,14504,14355,12880,14504,15017,10451,10451,11113,9347,7359,8392,10230,8242,9055,7950,9717,10308,5592,5229,5963,4196,2800,3384),dim=c(1,120),dimnames=list(c('V1'),1:120))
>  y <- array(NA,dim=c(1,120),dimnames=list(c('V1'),1:120))
>  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/1pxpp1406036605.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,]  2800
[2,] 19103
[3,] 33016
[4,] 39638
[5,] 42181

$n
[1] 120

$conf
         [,1]
[1,] 30054.16
[2,] 35977.84

$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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/22gwa1406036605.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/30fxi1406036605.tab") 
> 
> try(system("convert tmp/1pxpp1406036605.ps tmp/1pxpp1406036605.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.552   0.089   0.641