R version 3.2.2 (2015-08-14) -- "Fire Safety"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(2.4,0.9,-5.3,-1.7,-4.4,-5.2,2.9,2,-18.2,-13.5,12.5,7.1,3.5,25.4,5.9,-7.8,1.9,30.8,7.8,2.9,13.7,8.7,-33,5.1,-1.4,-12.1,-34.9,-25.6,-11.2,-40,-32.4,-39.1,-48.4,-37.9,-38.2,-27.1,-27.8,-23,-30.1,-17.5,-23.7,-39.5,-7.9,-14.8,2.2,-22.7,-12.7,-15.9,12.4,-4.1,11.7,-12.6,-23.8,-12.9,-53.4,-19.3,-26.5,-21.9,-32.1,-14.3)
> par4 = '12'
> par3 = ''
> par2 = 'http://www.belgostat.be'
> par1 = 'Distributie van personenwagens'
> ylimmax = ''
> ylimmin = ''
> ylab = 'Distributie personenwagens'
> xlab = 'Maanden'
> main = 'Univariate Data'
> par4 <- '12'
> par3 <- ''
> par2 <- 'http://www.belgostat.be'
> par1 <- 'Distributie van personenwagens'
> #'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. 
 -53.40  -25.83  -12.65  -12.24    2.25   30.80 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/14h1b1443179416.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/2jmzo1443179416.tab") 
> 
> try(system("convert tmp/14h1b1443179416.ps tmp/14h1b1443179416.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.542   0.092   0.635