R version 3.1.0 (2014-04-10) -- "Spring Dance"
Copyright (C) 2014 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- array(list(NA,NA,40755.00,90015.01,63145.51,48010.27,69472.02,81874.32,89738.09,97601.87,105465.64,113329.42,115973.43,115973.43,115973.43,115973.43,115973.43,115973.43,115973.43,115973.43,115973.43,115973.43,115973.43,115973.43,94225.00,94225.00,94225.00,94225.00,94225.00,94225.00,94225.00,94225.00,94225.00,94225.00,94225.00,94225.00,NA,NA,166385.67,129763.67,118948.67,74685.67,91609.33,NA,NA,NA,NA,NA,103349.60,103349.60,103349.60,103349.60,103349.60,103349.60,103349.60,103349.60,103349.60,103349.60,103349.60,103349.60),dim=c(12,5),dimnames=list(c('2007','2008','2009','2010','2011','2012','2013','2014','2015','2016','2017','2018'),1:5))
>  y <- array(NA,dim=c(12,5),dimnames=list(c('2007','2008','2009','2010','2011','2012','2013','2014','2015','2016','2017','2018'),1:5))
>  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'
> z <- as.data.frame(t(y))
> postscript(file="/var/wessaorg/rcomp/tmp/1ycbi1398631816.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=F,col=par1))
$stats
         [,1]     [,2]     [,3]      [,4]      [,5]      [,6]      [,7]
[1,]  94225.0  94225.0  94225.0  90015.01  63145.51  48010.27  91609.33
[2,]  98787.3  98787.3  94225.0  94225.00  94225.00  74685.67  91609.33
[3,] 103349.6 103349.6 103349.6 103349.60 103349.60  94225.00  94225.00
[4,] 109661.5 109661.5 115973.4 115973.43 115973.43 103349.60 103349.60
[5,] 115973.4 115973.4 115973.4 129763.67 118948.67 115973.43 115973.43
          [,8]      [,9]     [,10]    [,11]    [,12]
[1,]  81874.32  89738.09  94225.00  94225.0  94225.0
[2,]  88049.66  91981.54  95913.43  98787.3  98787.3
[3,]  98787.30  98787.30 100475.74 104407.6 108339.5
[4,] 109661.51 109661.51 109661.51 110719.5 114651.4
[5,] 115973.43 115973.43 115973.43 115973.4 115973.4

$n
 [1] 3 3 5 5 5 5 5 4 4 4 4 4

$conf
         [,1]     [,2]      [,3]      [,4]      [,5]      [,6]      [,7]
[1,]  93430.0  93430.0  87982.21  87982.21  87982.21  73971.14  85929.35
[2,] 113269.2 113269.2 118716.99 118716.99 118716.99 114478.86 102520.65
          [,8]      [,9]     [,10]     [,11]     [,12]
[1,]  81713.93  84820.12  89614.75  94981.15  95806.85
[2,] 115860.67 112754.48 111336.72 113834.09 120872.17

$out
[1]  40755.00 166385.67  69472.02

$group
[1] 3 3 7

$names
 [1] "2007" "2008" "2009" "2010" "2011" "2012" "2013" "2014" "2015" "2016"
[11] "2017" "2018"

> 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$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2jx8z1398631816.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$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/3bgqu1398631816.tab") 
> 
> try(system("convert tmp/1ycbi1398631816.ps tmp/1ycbi1398631816.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.142   0.199   1.332