R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(80,80,80,80,80,80,80,80,80,80,80,80,80,80,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,110,110,110,110,110,110,110,110,110,110,110,110,110,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,200,210)
> par4 = '12'
> par3 = 'Deze cijferreeks geeft weer hoeveel er wekelijks wordt uitgegeven in supermarkten. In de grafiek zijn 153 cijfers weergegeven waarbij de horizontale as het aantal antwoorden omvat en de verticale as het gemiddeld bedrag.'
> par2 = ''
> par1 = 'Gemiddelde wekelijkse uitgaven in een supermarkt. Het bevat '
> ylimmax = ''
> ylimmin = ''
> ylab = 'value'
> xlab = 'index or time'
> main = 'Univariate Data'
> par4 <- '12'
> par3 <- 'Deze cijferreeks geeft weer hoeveel er wekelijks wordt uitgegeven in supermarkten. In de grafiek zijn 153 cijfers weergegeven waarbij de horizontale as het aantal antwoorden omvat en de verticale as het gemiddeld bedrag.'
> par2 <- ''
> par1 <- 'Gemiddelde wekelijkse uitgaven in een supermarkt. Het bevat '
> #'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. 
  80.00   90.00   90.00   96.67  100.00  210.00 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/1nj0d1423169868.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/2m5f91423169868.tab") 
> 
> try(system("convert tmp/1nj0d1423169868.ps tmp/1nj0d1423169868.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.562   0.132   0.694