R version 2.15.2 (2012-10-26) -- "Trick or Treat"
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(369.82,373.1,374.55,375.01,374.81,375.31,375.31,375.39,375.59,376.26,377.18,377.26,377.26,381.87,387.09,387.14,388.78,389.16,389.16,389.42,389.49,388.97,388.97,389.09,389.09,391.76,390.96,391.76,392.8,393.06,393.06,393.26,393.87,394.47,394.57,394.57,394.57,399.57,406.13,407.03,409.46,409.9,409.9,410.14,410.54,410.69,410.79,410.97,410.97,413.8,423.31,423.85,426.6,426.26,426.26,426.32,427.14,427.55,428.29,428.8,428.8,434.87,435.66,440.75,440.99,441.04,441.04,441.88,441.92,442.48,442.81,442.81)
> par4 = '12'
> par3 = 'Gemiddelde consumptieprijzen per product: aankoop van voertuigen - fietsen'
> par2 = 'Belgostat'
> par1 = 'Gemiddelde consumptieprijzen per product: aankoop van voertuigen - fietsen'
> ylimmax = ''
> ylimmin = ''
> ylab = 'Prijs in EUR'
> xlab = 'Januari 2006 - December 2012'
> main = 'Prijzen van Dames fietsen'
> par4 <- '12'
> par3 <- 'Gemiddelde consumptieprijzen per product: aankoop van voertuigen - fietsen'
> par2 <- 'Belgostat'
> par1 <- 'Gemiddelde consumptieprijzen per product: aankoop van voertuigen - fietsen'
> #'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. 
  369.8   389.0   394.6   404.3   426.3   442.8 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/15xis1359648966.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/28bzl1359648966.tab") 
> 
> try(system("convert tmp/15xis1359648966.ps tmp/15xis1359648966.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.874   0.138   0.994