R version 2.15.1 (2012-06-22) -- "Roasted Marshmallows"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(454.7,406.7,369.2,354.8,341.9,362.5,372.2,377.4,377.9,352.1,347.9,365.4,306.1,293.5,269.9,254.6,271.5,276,265.7,241.9,239.3,232.9,282.1,313.7,298.8,348.6,406.8,554.2,614,682,609.2,517.1,471.2,468.2,490.7,357.5,346.3,333.6,288.3,254.9,258.4,248.3,240,204.9,204.8,203.8,204.5,194.8,195.5,169.8,169.1,179.6,193.7,200.5,199.6,197.5,205.4,199.9,185.8,168.8,153.6,143.7,156.4,172.4,178.9,196.9,197.2,195.5,192.8,193.6,180.7,190.2,198.5,198.4,205.5,213.8,218.5,235.3,239.6,219.6,207.8,198.6,165.2,159.7,142.2,124.5,114.9,111.1,105.3,102.2,99.2,96.5,97.4,100.1,101.7,101.9,101.5)
> par4 = '12'
> par3 = 'Prijsindexcijfers steenkolen'
> par2 = 'belgostat'
> par1 = 'Prijsindexcijfers steenkolen'
> ylimmax = ''
> ylimmin = ''
> ylab = 'value'
> xlab = 'index or time'
> main = 'Prijsindexcijfers steenkolen'
> par4 <- '12'
> par3 <- 'Prijsindexcijfers steenkolen'
> par2 <- 'belgostat'
> par1 <- 'Prijsindexcijfers steenkolen'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Plot of univariate data series (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_univariatedataseries.wasp/
> #Source of accompanying publication: 
> #
> if (par4 != 'No season') {
+ par4 <- as.numeric(par4)
+ if (par4 < 4) par4 <- 12
+ }
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
   96.5   180.7   207.8   255.7   333.6   682.0 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/14prs1348416184.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par4=='No season') {
+ plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n')
+ axis(1,at=seq(1,n,10))
+ }
> if (par4!='No season') {
+ plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n')
+ axis(1,at=seq(1,n,par4))
+ grid(nx=0,ny=NULL,col='black')
+ abline(v=seq(1,n,par4),col='black',lty='dotted')
+ }
> 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/2fxnk1348416184.tab") 
> 
> try(system("convert tmp/14prs1348416184.ps tmp/14prs1348416184.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.874   0.157   1.006