R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(330123,334728,338414,338582,339904,341396,343496,344591,346099,347258,348503,348628,349913,352797,354539,353032,355576,355603,357889,359310,361253,364253,364872,364201,368830,368755,370117,372895,374215,375539,380550,382839,386678,389265,393978,397923,394691,394410,398981,399827,403635,402425,406939,404544,406309,407884,407151,414154,408459,407609,408503,409068,412860,415113,418053,415780,413562,414521,413948,413106)
> par4 = '12'
> par3 = 'Prices paid to growers in exporting Member countries in US cents per lb (Arabica, 1977/1 - 2006/12)'
> par2 = 'www.ico.org'
> par1 = 'Consumption expenditure: Recreation'
> ylimmax = ''
> ylimmin = ''
> ylab = 'expenditure'
> xlab = 'time'
> main = ''
> postscript(file="/var/www/rcomp/tmp/16coy1321194972.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab)
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Univariate Dataseries',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Name of dataseries',header=TRUE)
> a<-table.element(a,par1)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Source',header=TRUE)
> a<-table.element(a,par2)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Description',header=TRUE)
> a<-table.element(a,par3)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Number of observations',header=TRUE)
> a<-table.element(a,length(x))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/2yhkk1321194972.tab") 
> 
> try(system("convert tmp/16coy1321194972.ps tmp/16coy1321194972.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.670   0.050   0.713