R version 3.0.1 (2013-05-16) -- "Good Sport"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(99.41,99.61,99.57,99.18,99.26,99.2,99.2,99.3,99.71,99.79,99.88,99.87,99.87,99.86,99.96,99.89,99.79,99.79,99.8,99.79,99.68,100.4,100.19,100.21,100.21,100.37,100.28,100.17,100.19,100.34,100.34,100.36,100.65,101.23,101.69,101.63,101.62,101.42,101.95,102.25,102.36,102.44,102.44,102.44,102.52,102.67,102.59,102.52,102.52,102.39,102.6,102.67,103.17,103.52,103.52,103.53,103.92,103.37,103.31,103.27,103.27,103.29,104.26,104.55,105.06,104.97,104.97,104.94,105.69,105.38,104.87,104.96)
> par4 = '12'
> par3 = 'Gemiddelde Consumptieprijs tennisracket'
> par2 = 'Belgostat'
> par1 = 'Gemiddelde consumptieprijs Tennisracket'
> ylimmax = as.numeric(110)
> ylimmin = as.numeric(90)
> ylab = 'Prijs'
> xlab = 'Datum'
> main = 'Gemiddelde Consumptieprijs Tennisracket'
> par4 <- '12'
> par3 <- 'Gemiddelde Consumptieprijs tennisracket'
> par2 <- 'Belgostat'
> par1 <- 'Gemiddelde consumptieprijs Tennisracket'
> #'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. 
  99.18   99.88  101.60  101.70  103.30  105.70 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/1zs1i1379877471.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/22vys1379877471.tab") 
> 
> try(system("convert tmp/1zs1i1379877471.ps tmp/1zs1i1379877471.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.475   0.322   1.762