R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(96.33,96.33,95.05,96.84,96.92,97.44,97.78,97.69,96.67,98.29,98.2,98.71,98.54,98.2,100.8,101.33,101.88,101.85,102.04,102.22,102.63,102.65,102.54,102.37,102.68,102.76,102.82,103.31,103.23,103.6,103.95,103.93,104.25,104.38,104.36,104.32,104.58,104.68,104.92,105.46,105.23,105.58,105.34,105.28,105.7,105.67,105.71,106.19,106.93,107.44,107.85,108.71,109.32,109.49,110.2,110.62,111.22,110.88,111.15,111.29,111.09,111.24,111.45,111.75,111.07,111.17,110.96,110.5,110.48,110.66)
> par4 = '12'
> par3 = '2003-2009'
> par2 = 'NNB'
> par1 = 'Indexcijfers van de consumptieprijzen'
> ylimmax = ''
> ylimmin = ''
> ylab = 'Waarden'
> xlab = 'Maanden'
> main = 'Index (2003-2009)'
> postscript(file="/var/fisher/rcomp/tmp/1y6tx1355505100.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/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/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/fisher/rcomp/tmp/2vqil1355505100.tab") 
> 
> try(system("convert tmp/1y6tx1355505100.ps tmp/1y6tx1355505100.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.871   0.237   1.089