R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(95.97,96.22,95.8,96.02,96.04,96.15,96.15,95.99,96.08,96.29,96.3,96.44,96.44,96.83,96.7,97.06,97.64,97.61,97.61,97.61,97.55,97.58,97.79,97.79,97.79,97.79,98,98.37,98.68,98.89,98.89,98.89,98.88,98.97,99.05,99.05,99,99.03,99.2,100.3,100.79,100.75,100.75,100.17,99.98,99.93,100.04,100.04,100.49,100.71,100.7,101.27,101.07,101.17,100.71,100.59,100.52,100.65,100.62,100.62,100.59,100.42,100.55,100.41,100.4,99.93,100.26,100.34,100.24,99.98,100.08,100.24)
> par4 = '12'
> par3 = 'vergelijking van de prijzen van tuinmeubelen van 2010 tot en met 2015 met 2013 als basisjaar'
> par2 = 'NBB'
> par1 = 'prijsindexcijfer tuinmeubelen 2013=100'
> ylimmax = ''
> ylimmin = ''
> ylab = 'prijsindexcijfer'
> xlab = 'maanden [01/2010-12/2015]'
> main = 'prijsindexcijfer teunmeubelen'
> par4 <- '12'
> par3 <- 'vergelijking van de prijzen van tuinmeubelen van 2010 tot en met 2015 met 2013 als basisjaar'
> par2 <- 'NBB'
> par1 <- 'prijsindexcijfer tuinmeubelen 2013=100'
> #'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. 
  95.80   97.60   99.04   98.85  100.40  101.30 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/181xp1474902575.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/2870q1474902575.tab") 
> 
> try(system("convert tmp/181xp1474902575.ps tmp/181xp1474902575.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.598   0.056   0.664