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(17887,17118,15945,15085,14027,15158,23783,25166,21839,18522,16850,16679,17806,17542,16380,15434,14478,15506,22357,27204,24182,20760,18731,18377,18775,18943,17974,17192,1604,17101,25972,28139,26131,22600,20320,19662,20440,19694,18260,16832,15539,16676,25216,26994,24865,21793,19505,18696,19221,18742,17633,16379,15007,15762,24146,25720,23731,20542,18807,18459,18754)
> par4 = '12'
> par3 = 'Werkloosheid vrouwen -25j'
> par2 = 'NBB'
> par1 = 'Werkloosheid '
> ylimmax = ''
> ylimmin = ''
> ylab = 'aantal werklozen'
> xlab = 'tijd'
> main = 'Werkloosheid vrouwen -25'
> par4 <- '12'
> par3 <- 'Werkloosheid vrouwen -25j'
> par2 <- 'NBB'
> par1 <- 'Werkloosheid '
> #'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. 
   1604   16830   18730   19320   21840   28140 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/1degm1454592933.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/2drda1454592933.tab") 
> 
> try(system("convert tmp/1degm1454592933.ps tmp/1degm1454592933.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.562   0.085   0.647