R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(29975,29124,29704,29564,30550,29812,30611,30577,30637,30944,30852,31216,31113,32073,31447,32293,31807,31778,31707,32135,31929,32923,33181,33435,34721,35179,35605,35931,35093,35053,35092,35295,35981,35606,35815,36144,36391,35642,36896,36399,38385,38226,38609,38227,38254,38047,38437,37963,38231,38283,38839,38833,39431,40091,40289,39433,38677,38107,38485,38464)
> 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: Sporting equipment'
> ylimmax = ''
> ylimmin = ''
> ylab = 'expenditures'
> xlab = 'time'
> main = ''
> postscript(file="/var/wessaorg/rcomp/tmp/1noes1321195154.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/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,'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/wessaorg/rcomp/tmp/2zx1h1321195154.tab") 
> 
> try(system("convert tmp/1noes1321195154.ps tmp/1noes1321195154.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.480   0.077   0.571