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(244,243,242,240,260,259,244,234,235,235,236,238,240,233,233,233,247,251,233,226,233,233,227,225,223,212,206,202,223,221,212,205,204,200,195,193,196,180,174,164,192,189,181,167,166,164,167,164,161,141,134,111,147,144,142,140,143,137,140,130,129,112,101,74,104,103,100,98,99,91,92,94,93,76,64,32,62,69,69,68,68,59,66,73,70,57,48,22,64,74,67,61,61,52,54,69,69,53,50,22,69,78,74,63,67,59,60,80,77,58,54,32,78,86,84,78,72,64,62,72)
> par4 = '12'
> par3 = 'Omzet van product X per maand'
> par2 = 'niet gekend'
> par1 = 'Omzet per maand'
> ylimmax = ''
> ylimmin = ''
> ylab = 'Omzet'
> xlab = 'Maand'
> main = 'Omzet Product X per maand'
> #'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. 
   22.0    69.0   120.5   135.4   205.2   260.0 
> n <- length(x)
> postscript(file="/var/www/rcomp/tmp/1n73e1281437135.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/21z151281437135.tab") 
> 
> try(system("convert tmp/1n73e1281437135.ps tmp/1n73e1281437135.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.520   0.170   0.672