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(2120,2100,2080,2040,2440,2420,2120,1920,1940,1940,1960,2000,2120,2080,2140,2240,2800,2800,2680,2560,2660,2780,2800,2860,3040,2920,2920,3100,3600,3640,3540,3300,3480,3480,3500,3600,3680,3720,3720,3840,4300,4420,4440,4140,4300,4240,4120,4380,4440,4340,4360,4500,5020,5280,5280,5160,5340,5160,5060,5440,5500,5360,5720,5860,6280,6560,6520,6500,6660,6640,6400,6760,6880,6760,7260,7500,8060,8280,8220,8100,8200,8320,7920,8240,8440,8360,8880,9060,9820,9960,9780,9880,9940,10000,9620,9980,10180,9980,10560,10740,11520,11640,11680,11880,11880,11960,11600,11780,11900,11680,12320,12440,13240,13380,13580,13760,13780,13800,13440,13800)
> par4 = '12'
> par3 = 'omzet fietsenwinkel'
> par2 = 'niet gekend'
> par1 = 'Omzet fietsenwinkel'
> ylimmax = ''
> ylimmin = ''
> ylab = 'omzet (in euro)'
> xlab = 'tijdspanne'
> main = 'Omzet fietsenwinkel (in euro)'
> par4 <- '12'
> par3 <- 'omzet fietsenwinkel'
> par2 <- 'niet gekend'
> par1 <- 'Omzet fietsenwinkel'
> #'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. 
   1920    3480    5400    6493    9790   13800 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/17n651343990326.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/2w6j61343990326.tab") 
> 
> try(system("convert tmp/17n651343990326.ps tmp/17n651343990326.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.710   0.126   0.827