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(127800,127700,128500,129400,128800,128800,131300,131100,131500,132900,133500,133400,134828,136488,135943,138717,139223,139869,140507,140259,139220,144033,144683,147354,148813,152657,155912,155271,161382,162106,164825,162810,163398,164844,165910,165774,164881,164861,165501,164334,162229,162748,163915,160890,159779,161106,160659,160007,158917,159052,159507,159107,159925,161327,159957,156997,159316,159793,161383,161828,162887,164071,163810,166708,168481,169913,169602,170559,170943)
> par4 = '12'
> par3 = ''
> par2 = 'Economagic'
> par1 = 'US Bread sales'
> ylimmax = ''
> ylimmin = ''
> ylab = 'value'
> xlab = 'index or time'
> main = ''
> postscript(file="/var/wessaorg/rcomp/tmp/1kg9v1321353281.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/2vai21321353281.tab") 
> 
> try(system("convert tmp/1kg9v1321353281.ps tmp/1kg9v1321353281.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.507   0.076   0.583