R version 2.12.1 (2010-12-16)
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(138900,136400,133900,130400,133200,132500,130400,132000,131400,133300,129700,129500,134257,133802,134542,132423,135853,135676,137311,139515,138554,139560,136171,137454,142388,143616,140197,148011,152637,152341,159219,161478,163350,166044,160925,163439,165411,160522,159302,151933,156735,156254,158051,157038,154626,153093,147274,150847,157165,157384,152655,154088,156583,156608,159543,162916,167167,172470,167473,164832,174144,177945,180962,179105,185076,183863,189329,191268,190450)
> par4 = '12'
> par3 = ''
> par2 = 'Economagic'
> par1 = 'USA Butter sales'
> ylimmax = ''
> ylimmin = ''
> ylab = 'value'
> xlab = 'index or time'
> main = ''
> postscript(file="/var/www/rcomp/tmp/1izpb1321352906.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/28v651321352906.tab") 
> 
> try(system("convert tmp/1izpb1321352906.ps tmp/1izpb1321352906.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.652   0.100   0.733