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(47.91,47.88,47.8,47.22,47.18,47.02,47.02,47.04,46.89,46.76,46.72,46.72,46.72,46.67,46.66,46.52,46.3,46.29,46.29,46.29,46.42,46.59,46.28,46.34,46.34,46.35,46.25,46.09,45.77,45.77,45.77,45.75,45.62,45.44,45.34,45.34,45.34,45.36,45.28,44.91,44.94,44.94,44.95,44.9,44.84,44.7,44.52,44.51,44.51,44.51,44.47,44.37,44.34,44.34,44.34,44.32,44.33,44.26,44.27,44.29,44.29,44.29,44.29,44.19,44.14,44.14,44.14,44.15,44.14,44.17,44.13,44.13)
> par3 = 'Deze cijferreeks stelt de gemiddelde consumptieprijs van Blue-Jeans voor dames per maand voor.'
> par2 = 'Belgostat'
> par1 = 'Gemiddelde consumptieprijs voor Blue-Jeans (D)'
> ylab = 'prijs'
> xlab = 'tijd'
> main = 'Blue-jeans (D)'
> #'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/1hh7i1203259545.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/2csh91203259545.tab") 
> 
> system("convert tmp/1hh7i1203259545.ps tmp/1hh7i1203259545.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.618   0.170   0.695