R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(790,766,1040,2596,949,758,1023,2730,921,775,907,2603,835,871,836,2542,10471,789,811,996,2596,778,603,990,2371,735,800,706,2241,766,870,647,2283,9491,726,784,884,2394,696,893,674,2263,703,799,793,2295,799,1022,758,2579,9531,1021,944,915,2880,864,1022,891,2777,1087,822,890,2799,1092,967,833,2892,11348,1104,1063,1103,3270,1039,1185,1047,3271,1155,878,879,2912,1133,920,943,2996,12449,938,900,781,2619,1040,792,653,2485,866,659)
> par4 = '12'
> par3 = 'kerncijfers van het aantal uitgesproken faillissementen per maand'
> par2 = 'http://statline.cbs.nl/StatWeb/publication/default.aspx?DM=SLNL&PA=82242NED&D1=0&D2=a&D3=a&HDR=T%2cG2&STB=G1&CHARTTYPE=1&VW=T'
> par1 = 'Totaal Faillissementen'
> ylimmax = ''
> ylimmin = ''
> ylab = 'aantal faillissementen'
> xlab = 'tijd'
> main = 'Faillissementen'
> par4 <- '12'
> par3 <- 'kerncijfers van het aantal uitgesproken faillissementen per maand'
> par2 <- 'http://statline.cbs.nl/StatWeb/publication/default.aspx?DM=SLNL&PA=82242NED&D1=0&D2=a&D3=a&HDR=T%2cG2&STB=G1&CHARTTYPE=1&VW=T'
> par1 <- 'Totaal Faillissementen'
> #'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. 
  603.0   799.5   944.0  1806.0  2289.0 12450.0 
> n <- length(x)
> postscript(file="/var/wessaorg/rcomp/tmp/1w7r71411327220.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/29ftt1411327220.tab") 
> 
> try(system("convert tmp/1w7r71411327220.ps tmp/1w7r71411327220.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.539   0.092   0.631