R version 2.11.1 (2010-05-31)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(668,667,666,664,684,683,668,658,659,659,660,662,659,655,655,655,674,674,665,644,638,648,641,637,651,649,652,650,661,666,652,624,613,623,615,613,621,612,611,609,631,632,624,596,584,587,581,574,593,582,571,572,594,588,571,546,535,537,527,515,545,538,520,523,541,529,504,473,455,458,450,442,469,455,439,443,461,451,425,393,366,359,351,343,366,355,344,351,367,364,353,313,278,274,261,255,274,262,265,274,291,289,277,238,203,198,190,187,201,181,181,196,207,202,186,154,120,107,99,100)
> par4 = '12'
> par3 = 'Het aantal verkochte goederen uitgedrukt in de honderd'
> par2 = 'niet gekend'
> par1 = 'aantal verkochte stuks'
> ylimmax = ''
> ylimmin = ''
> ylab = 'verkochte stuks'
> xlab = 'periodes'
> 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. 
   99.0   343.8   536.0   476.7   637.2   684.0 
> n <- length(x)
> postscript(file="/var/www/rcomp/tmp/1bfcb1280838794.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/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/rcomp/tmp/276sk1280838794.tab") 
> 
> try(system("convert tmp/1bfcb1280838794.ps tmp/1bfcb1280838794.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.510   0.210   0.678