R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(7.52,7.71,7.61,7.56,7.6,7.62,7.62,7.54,7.49,7.45,7.46,7.37,7.43,7.63,7.6,7.55,7.59,7.59,7.59,7.51,7.5,7.46,7.51,7.53,7.57,7.61,7.83,7.86,7.86,7.85,7.85,7.72,7.76,7.9,7.88,7.99,7.99,8.09,7.94,7.92,8.06,8.09,8.08,7.96,7.85,7.91,8.05,8.09,8.1,8.22,8.18,8.25,8.33,8.25,8.22,8.17,8.18,8.18,8.09,8.05,8.07,8.16,8.09,8.03,8.1,8.12,8.12,8.12,8.14,8.12,8.14,8.19,8.23,8.23,8.28,8.31,8.43,8.39,8.39,8.4,8.39,8.43,8.38,8.61)
> par4 = '12'
> par3 = 'verkoop azalea'
> par2 = 'nbb.be'
> par1 = ''
> ylimmax = ''
> ylimmin = ''
> ylab = 'prijs in euro'
> xlab = 'maanden vanaf januari 2006'
> main = 'verkoop azalea'
> par4 <- '12'
> par3 <- 'verkoop azalea'
> par2 <- 'nbb.be'
> par1 <- ''
> #'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. 
  7.370   7.610   8.010   7.939   8.172   8.610 
> n <- length(x)
> postscript(file="/var/fisher/rcomp/tmp/12mtr1381925970.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/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/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/fisher/rcomp/tmp/21tsk1381925971.tab") 
> 
> try(system("convert tmp/12mtr1381925970.ps tmp/12mtr1381925970.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.817   0.146   0.940