R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- array(list(1230,1360,1360,1250,1420,1390,1280,1330,1400,1370,1290,1500,1260,1360,1320,1300,1440,1360,1330,1420,1510,1280,1310,1460,1280,1370,1390,1390,1460,1410,1230,1260,1590,1250,1400,1450,1220,1290,1400,1400,1460,1450,1270,1260,1550,1230,1380,1490,1180,1190,1400,1380,1510,1400,1290,1200,1600,1220,1380,1450,1260,1130,1390,1380,1570,1320,1210,1190,1580,1150,1330,1420,1260,1040,1450,1360,1500,1240,1260,1220,1680,1210,1350,1480,1270,1040,1450,1310,1510,1160,1290,1230,1680,1190,1310,1480,1320,1050,1380,1320,1480,1150,1250,1260,1680,1150,1310,1470),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])
+  	}
+  }
> par2 = 'no'
> par1 = 'grey'
> ylab = 'value'
> xlab = 'variables'
> main = 'Notched Boxplots'
> 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/1acm71471253688.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,] 1040
[2,] 1260
[3,] 1340
[4,] 1430
[5,] 1680

$n
[1] 108

$conf
         [,1]
[1,] 1314.154
[2,] 1365.846

$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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/23mil1471253688.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/3zttt1471253688.tab") 
> 
> try(system("convert tmp/1acm71471253688.ps tmp/1acm71471253688.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.555   0.062   0.624