R version 3.1.0 (2014-04-10) -- "Spring Dance"
Copyright (C) 2014 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(6,6.7,-0.6,5.8,16.4,1.5,5.1,14.7,4.3,1.5,9.1,4.3,5.7,13,14.5,9.7,-4.7,7.3,5.2,-2.5,11.5,4.9,-2.4,-0.3,4.4,7.9,-9.7,-4.1,16.4,-4.9,3.5,3.8,-0.2,3.1,0.7,-2.8,5.9,-5.3,-2.9,6.6,-8.1,1.3,6.9,-7.2,-1.9,4,-5.7,3.9,-7.6,-0.9,7.3,-3.7,-2.5,9.3,1.3,9.5,11.3,-1.7,8,-4.8,1.6,1.9,-0.9,5.5,1.7,-5.4,1.9,0.2,-13.3,-8.2,0.2,5.7,-1.2,-2.8,5.5,-17.3,1.4,-2.2,-8.6,-5,4.1,0.7,-4.2,-2.3)
> par4 = '12'
> par3 = ''
> par2 = ''
> par1 = ''
> ylimmax = ''
> ylimmin = ''
> ylab = 'Volume (%)'
> xlab = 'Maand (01/2006 - 12)'
> main = 'Gem. volume textiel en kleding'
> par4 <- '12'
> par3 <- ''
> par2 <- ''
> par1 <- ''
> #'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. 
-17.300  -2.575   1.500   1.629   5.725  16.400 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/16qvt1400675351.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/2xom71400675351.tab") 
> 
> try(system("convert tmp/16qvt1400675351.ps tmp/16qvt1400675351.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.789   0.128   0.918