R version 3.2.2 (2015-08-14) -- "Fire Safety"
Copyright (C) 2015 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(92.44,94.36,93.42,92.97,94.83,91.47,88.42,86.36,86.01,87.87,89.81,88.41,86.33,89.64,89.53,88.3,99.49,98.81,90.97,92.58,92.98,95,92.47,88.65,84.81,88.6,89.31,92.34,91.53,96.95,95.44,89.59,89.86,91.66,92.7,90.54,86.17,89.15,89.73,91.07,93.36,96.27,95,94.72,97.16,100.92,98.66,95.87,94.6,98.41,98.05,99.82,106.96,107.45,100.25,99.28,101.38,101,97.43,95.38,95.17,94.13,96.43,105.38,98.39,99.8,94.43,90.16,85.49,90.57,88.22,89.66)
> par4 = '12'
> par3 = 'Deze cijferreeks gaat over de consumptieprijsindex van fruit in België door de jaren heen'
> par2 = 'NBB stat'
> par1 = 'Consumptieprijsindex fruit'
> ylimmax = ''
> ylimmin = ''
> ylab = 'Miljoenen Euro'
> xlab = 'Maand'
> main = 'Consumptieprijs index Fruit'
> par4 <- '12'
> par3 <- 'Deze cijferreeks gaat over de consumptieprijsindex van fruit in België door de jaren heen'
> par2 <- 'NBB stat'
> par1 <- 'Consumptieprijsindex fruit'
> #'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. 
  84.81   89.66   92.98   93.62   97.00  107.40 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/1f04d1443817225.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/20b6h1443817225.tab") 
> 
> try(system("convert tmp/1f04d1443817225.ps tmp/1f04d1443817225.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.529   0.116   0.641