R version 3.2.2 (2015-08-14) -- "Fire Safety"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(79.21,79.08,79.88,80.57,80.9,80.89,80.61,80.98,81.68,83.28,83.94,89.25,95.3,97.68,98.53,98.32,97.02,90.13,88.49,88.07,87.17,86.1,86.59,85.89,85.82,86.68,86.3,86.32,85.61,85.52,85.97,86.6,86.78,84.98,85.21,86.39,88.39,88.83,95.76,100.98,102.56,102.92,104.35,105.07,105.41,105.06,104.33,104.61,104.78,104.38,104.08,103.4,101.72,100.1,100.37,96.27,95.28,95.85,96.76,97,96.71,96.97,96.97,98.01,99.18,99.51,99.16,99.4,97.59,96.71,96.56,96.42)
> par4 = '12'
> par3 = 'Prijs van eieren vanaf 2009 tot 2014'
> par2 = 'nbb'
> par1 = 'Prijs eieren'
> ylimmax = ''
> ylimmin = ''
> ylab = 'Prijs in euro'
> xlab = 'Tijd'
> main = 'Prijs eieren'
> par4 <- '12'
> par3 <- 'Prijs van eieren vanaf 2009 tot 2014'
> par2 <- 'nbb'
> par1 <- 'Prijs eieren'
> #'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. 
  79.08   86.07   95.80   92.96   99.24  105.40 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/14mz31444383672.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/2o9jc1444383672.tab") 
> 
> try(system("convert tmp/14mz31444383672.ps tmp/14mz31444383672.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.512   0.079   0.592