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(268,267,266,264,262,261,262,264,265,265,266,268,260,264,265,262,258,265,273,273,270,263,260,257,248,248,237,228,225,231,243,250,246,240,236,235,225,230,225,221,231,234,249,257,253,252,245,239,229,232,222,218,223,221,230,234,237,226,215,211,203,202,187,179,181,172,182,180,175,163,160,151,145,140,125,122,124,108,115,116,104,98,101,91)
> par4 = '12'
> par3 = 'Omzetcijfers Product Y 2003-2009'
> par2 = 'Niet gekend'
> par1 = 'Omzet Product Y'
> ylimmax = ''
> ylimmin = ''
> ylab = 'Omzet'
> xlab = 'Periodes (maanden)'
> main = 'Omzet Product Y'
> #'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. 
   91.0   185.8   233.0   217.8   260.0   273.0 
> n <- length(x)
> postscript(file="/var/www/html/rcomp/tmp/1jz7r1278595707.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/2fq5z1278595707.tab") 
> 
> try(system("convert tmp/1jz7r1278595707.ps tmp/1jz7r1278595707.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.386   0.174   0.632