R version 3.2.3 (2015-12-10) -- "Wooden Christmas-Tree"
Copyright (C) 2015 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(43414.7,44673.7,43820.3,47565.9,45564.6,47295.5,46465.5,50679.5,47452.8,49415.4,48165.3,51814,49030.7,50820.8,49729.5,53501.6,50524.9,52095,51290.3,55064,52505.2,54318.3,53039.6,57607.6,54236.4,56586.4,55614,60085.9,56963.5,59152.8,57804.6,62541.5,59449.3,61704.7,60399,65724.7,62679.4,65526.5,64274.8,68769.1,63542.8,66198,64544.9,71041.8,66087.2,69005.8,66897,73702,68485.3,71457,69774.6,76479.7,71204.7,73783.9,71651,78541.6,72714.4,75258,73168.1,79701.6,73944.5,76401.2,73948.1,80583.3)
> par4 = '12'
> par3 = 'Deze reeks toont de ruwe consumptiecijfers tussen 1999 en 2014.'
> par2 = 'nbb.stat'
> par1 = 'Nationale Consumptie over de jaren'
> ylimmax = ''
> ylimmin = ''
> ylab = 'Nationale Consumptie'
> xlab = 'Jaar'
> main = 'evolutie Nationale Consumptie'
> par4 <- '12'
> par3 <- 'Deze reeks toont de ruwe consumptiecijfers tussen 1999 en 2014.'
> par2 <- 'nbb.stat'
> par1 <- 'Nationale Consumptie over de jaren'
> #'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. 
  43410   51680   60240   60870   70090   80580 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/1rj9s1455037361.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/2dpkq1455037361.tab") 
> 
> try(system("convert tmp/1rj9s1455037361.ps tmp/1rj9s1455037361.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.475   0.116   0.592