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(-2,0,1,-3,-3,-5,-7,-7,-5,-13,-16,-20,-18,-21,-20,-16,-14,-12,-10,-3,-4,-4,-1,-8,-10,-11,-7,-2,-6,-4,0,2,2,5,8,8,5,10,6,6,9,5,5,-4,-5,-1,-8,-8,-13,-18,-8,-8,-6,-5,-11,-14,-12,-13,-19,-21,-22,-13,-21,-17,-15,-14,-11,-8,-3,-2,-1,1)
> par4 = '12'
> par3 = ''
> par2 = ''
> par1 = 'Indicator van consumentenvertrouwen in het Vlaanderen'
> ylimmax = ''
> ylimmin = ''
> ylab = 'indicator consumentenvertrouwen'
> xlab = 'tijd'
> main = 'Consumentenvertrouwen in Vlaanderen'
> par4 <- '12'
> par3 <- ''
> par2 <- ''
> par1 <- 'Indicator van consumentenvertrouwen in het Vlaanderen'
> #'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. 
-22.000 -13.000  -6.500  -6.667  -1.000  10.000 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/1jy5s1391258472.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/2mrd91391258472.tab") 
> 
> try(system("convert tmp/1jy5s1391258472.ps tmp/1jy5s1391258472.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.409   0.245   1.630