R version 2.6.1 (2007-11-26)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(66.2,66.2,66.08,66.31,66.39,66.37,66.23,66.27,66.27,66.27,66.28,66.28,66.28,66.26,66.13,65.86,65.9,65.94,65.94,65.91,65.95,65.91,66.08,66.47,66.47,66.56,66.78,67.08,67.28,67.27,67.27,67.26,67.37,67.5,67.63,67.64,67.64,67.71,67.87,67.93,68.33,68.39,68.39,68.58,68.44,68.49,68.52,68.54,68.54,68.54,68.62,68.75,68.71,68.72,68.72,68.72,68.92,68.9,69.12,69.09,69.09,69.1,69.16,68.83,68.52,68.53,68.53,68.51,68.38,68.44,68.41,68.42,68.42,68.45,68.63,68.84,68.72,68.37,68.37,68.47,68.69,68.46,68.17,68.17)
> par3 = 'Indexcijfers: tennisschoenen'
> par2 = 'Belgostat'
> par1 = 'Indexcijfers van de consumptieprijzen: tennisschoenen'
> ylab = 'value'
> xlab = 'index'
> main = ''
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: Wessa P., (2007), Plot of univariate data series (v1.0.1) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_univariatedataseries.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> postscript(file="/var/www/html/rcomp/tmp/1d7691203694736.ps",horizontal=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 
> load(file='/var/www/html/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/html/rcomp/tmp/2xtgg1203694736.tab") 
> 
> system("convert tmp/1d7691203694736.ps tmp/1d7691203694736.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.132   0.290   1.181