R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(80.24,80.58,80.5,80.22,80.06,80.06,80.17,79.74,79.63,79.49,79.3,79.3,79.39,79.54,80.29,80.48,80.52,80.52,80.53,80.2,79.88,79.81,79.86,79.86,79.99,80.57,80.37,80.27,80.2,80.2,80.04,79.82,79.26,79.21,79.22,79.22,79.11,78.91,79.35,79.38,79.26,79.26,79.2,79.06,78.28,78.33,78.31,78.31,78.45,78.5,77.95,78.59,78.55,78.55,78.56,78.29,77.76,77.46,77.47,77.47,77.43,77.61,77.88,78.09,78.33)
> par4 = '12'
> par3 = 'consumptieprijs kledij'
> par2 = 'belgosta'
> par1 = 'Trainingspakken'
> ylimmax = ''
> ylimmin = ''
> ylab = 'value'
> xlab = 'index or time'
> main = 'Gemiddelde consumptieprijs per maand'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: 
> #Technical description: 
> if (par4 != 'No season') {
+ par4 <- as.numeric(par4)
+ if (par4 < 4) par4 <- 12
+ }
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  77.43   78.50   79.30   79.27   80.06   80.58 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/1s7qj1317040908.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/2y6iw1317040909.tab") 
> 
> try(system("convert tmp/1s7qj1317040908.ps tmp/1s7qj1317040908.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.512   0.072   0.578