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(90.4,89.5,88.9,88.4,87.6,87.1,86.5,85.7,85.3,84.9,84.5,84.4,84.3,84.2,84.1,83.8,83.5,83.2,82.8,82.2,81.5,80.8,80.3,79.8,79.2,78.8,78.1,77.8,77.3,76.7,76.2,76.1,76.3,76.2,76.2,76.6,75.5,75.4,75.5,75.5,75.2,74.9,74.6,74.4,74,73.3,72.7,72,71.2,70.9,70.4,70,69.7,69.2,68.7,68.6,68.4,67.9,67.4,66.5,65.6,64.6,63.8,63,62.1,61.7,61.4,61.1,61.1,61,60.5,60.2,59.9,59.4,59.6,59.5,59.3,59.3,59.1,58.8)
> par4 = 'No season'
> par3 = 'Het aantal werkzame personen (x1000) in de landbouw, bosbouw en visserij per kwartaal.'
> par2 = 'http://stat.nbb.be/Index.aspx?ThemeTreeId=8&lang=nl#'
> par1 = 'Landbouw en bosbouw en visserij'
> ylimmax = ''
> ylimmin = ''
> ylab = 'Werkzame personen (x1000)'
> xlab = 'Kwartalen'
> main = 'Landbouw, bosbouw en visserij'
> par4 <- 'No season'
> par3 <- 'Het aantal werkzame personen (x1000) in de landbouw, bosbouw en visserij per kwartaal.'
> par2 <- 'http://stat.nbb.be/Index.aspx?ThemeTreeId=8&lang=nl#'
> par1 <- 'Landbouw en bosbouw en visserij'
> #'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. 
  58.80   66.28   75.30   73.78   81.68   90.40 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/1if6a1456239399.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/2l2131456239399.tab") 
> 
> try(system("convert tmp/1if6a1456239399.ps tmp/1if6a1456239399.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.495   0.119   0.614