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(106.01,106.01,106.01,106.01,106.01,106.03,106.04,106.88,107.99,108.3,108.39,108.54,108.56,108.71,116.73,118.88,119.6,119.62,119.64,119.74,119.74,119.74,119.9,119.9,119.9,119.9,119.9,121.02,122.95,123.62,123.67,123.81,123.83,123.83,123.83,123.83,123.89,123.89,124.44,125.51,125.89,126.12,126.25,126.25,126.3,126.31,126.38,125.51,126.82,126.86,126.86,127.28,128.72,128.77,128.84,128.88,128.88,128.88,128.88,128.88,128.89,128.9,128.92,129.05,129.83,130.54,130.82,130.91,131.04,131.07,131.15,131.2,131.2,131.42,131.45,131.7,134.24,135.17,135.51,135.65,136.02,136.07,136.13,136.07)
> par4 = '12'
> par3 = 'index van sigaretten'
> par2 = 'belgostat'
> par1 = 'index van sigaretten'
> ylimmax = ''
> ylimmin = ''
> ylab = 'index '
> xlab = '01/2006 tot 12/2012'
> main = 'index van sigaretten'
> par4 <- '12'
> par3 <- 'index van sigaretten'
> par2 <- 'belgostat'
> par1 <- 'index van sigaretten'
> #'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. 
  106.0   119.7   126.0   123.6   129.0   136.1 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/1l4ts1379607433.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/2pd4a1379607433.tab") 
> 
> try(system("convert tmp/1l4ts1379607433.ps tmp/1l4ts1379607433.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.243   0.286   1.501