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(130.24,132.16,125.25,125.07,128.87,133.86,128.5,125.16,122.62,132.22,135.5,135.38,126.47,129.26,126.64,126.56,127.32,130.86,126.48,125.49,128.13,123.14,132.84,126.61,132.78,131.63,126.71,126.86,129.44,131.42,128.91,126.25,132.38,128.32,129.96,124.96,134.01,130.19,123.67,123.7,127.14,126.96,124.13,123.36,123.28,129.12,133.1,127.19,130.2,129.6,118.3,120.2,121.3,124.8,119.8,118.7,120.2,118,123.9,118.8,118.4) > par3 = 'gemiddelde consumptiegoederen per product: pakketreizen: buitenlandse reizen' > par2 = 'www.belgostat.be' > par1 = 'buitenlandse reizen' > ylab = 'value' > xlab = 'index' > main = 'buitenlandse reizen' > #'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/1y5fh1203259711.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/21hde1203259711.tab") > > system("convert tmp/1y5fh1203259711.ps tmp/1y5fh1203259711.png") > > > proc.time() user system elapsed 0.614 0.167 0.698