R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(26862,28261,31761,32624,32950,34711,34124,31860,32404,33027,28944,29702,29144,29715,35710,37324,37687,39071,38986,37702,36444,36423,35266,35461,33073,35721,44670,43461,42998,45039,41555,43850,42253,42036,39552,38572,36862,37883,47264,43698,48335,50368,45633,48708,44588,44021,41601,39761,40848,45488,51253,49495,53348,50286,50191,50596,46689,49249,43597,41862)
> par4 = '12'
> par3 = 'Totale autoverkoop in de VS'
> par2 = 'Economagic'
> par1 = 'Autoverkoop in de VS'
> ylimmax = ''
> ylimmin = ''
> ylab = 'Waarde verkoop in miljoen dollar'
> xlab = 'Maand'
> main = 'Totale autoverkoop in de VS'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: 
> #Technical description: 
> if (par4 != 'No season') {
+ par4 <- as.numeric(par4)
+ if (par4 < 4) par4 <- 12
+ }
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  26860   35130   39660   40010   44760   53350 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/1peo41323607118.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/2d1w81323607118.tab") 
> 
> try(system("convert tmp/1peo41323607118.ps tmp/1peo41323607118.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.515   0.077   0.665