R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(4.421,1.380,7.403,1.871,1.188,4.608,2.506,4.967,4.561,1.362,7.591,1.741,1.336,4.451,2.528,5.083,4.691,1.411,7.742,1.704,1.364,4.616,2.527,5.369,4.895,1.382,7.601,1.680,1.386,4.626,2.567,5.353,4.833,1.443,7.905,1.756,1.434,4.984,2.632,5.620,4.942,1.471,7.919,1.787,1.473,4.946,2.721,6.190,5.039,1.414,7.879,1.931,1.571,5.022,2.569,6.123,5.068,1.606,7.949,2.105,1.532,5.213,2.704,6.401,5.153,1.434,8.068,2.032,1.565,5.413,2.663,6.657)
> par4 = '12'
> par3 = 'huishoudbudget en uitgaven'
> par2 = 'www.statbel.fgov.be'
> par1 = 'Gemiddelde uitgaven per huishouden in België en per jaar in EURO'
> ylimmax = ''
> ylimmin = ''
> ylab = 'Gem huishoudelijke uitgaven in 1000 EUR'
> xlab = 'maaden'
> main = ''
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: 
> #Technical description: 
> if (par4 != 'No season') {
+ par4 <- as.numeric(par4)
+ if (par4 < 4) par4 <- 12
+ }
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  1.188   1.662   3.571   3.821   5.168   8.068 
> n <- length(x)
> postscript(file="/var/www/html/rcomp/tmp/1z0xb1285768597.ps",horizontal=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/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/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/www/html/rcomp/tmp/2v9dj1285768597.tab") 
> 
> try(system("convert tmp/1z0xb1285768597.ps tmp/1z0xb1285768597.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.415   0.203   0.504