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(121.3,124.0,122.9,120.1,118.3,118.1,118.4,116.6,116.4,116.7,117.7,119.5,123.3,124.6,125.4,127.0,126.8,131.8,128.1,130.1,133.5,142.7,140.0,137.9,132.6,133.7,137.0,141.1,145.3,146.1,141.8,140.0,137.4,139.5,140.3,142.7,143.3,146.0,147.2,146.1,147.1,141.7,138.8,138.3,140.2,143.1,142.0,142.4,141.2,138.0,137.9,136.8,135.9,138.8,139.5,138.0,139.7,137.5,137.8,137.4,141.7,145.3,148.9,151.3,151.4,149.2,143.8,143.6,144.3,142.0,140.8,141.8) > par3 = 'Producentenprijsindex van vlees, gevogelte en vis vanaf het jaar 2002 tot 2007' > par2 = 'http://www.economagic.com/em-cgi/data.exe/blswp/wps022' > par1 = 'PPI van vlees, gevogelte en vis' > ylab = 'PPI' > xlab = 'jaar' > main = 'Producentenprijsindex' > #'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/10ndo1203242858.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/2tp8q1203242858.tab") > > system("convert tmp/10ndo1203242858.ps tmp/10ndo1203242858.png") > > > proc.time() user system elapsed 0.611 0.198 0.707