R version 2.7.0 (2008-04-22)
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ISBN 3-900051-07-0

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> x <- c(2005/12,2005/11,2005/10,2005/09,2005/08,2005/07,2005/06,2005/05,2005/04,2005/03,2005/02,2005/01,2004/12,2004/11,2004/10,2004/09,2004/08,2004/07,2004/06,2004/05,2004/04,2004/03,2004/02,2004/01,2003/12,2003/11,2003/10,2003/09,2003/08,2003/07,2003/06,2003/05,2003/04,2003/03,2003/02,2003/01,2002/12,2002/11,2002/10,2002/09,2002/08,2002/07,2002/06,2002/05,2002/04,2002/03,2002/02,2002/01,2001/12,2001/11,2001/10,2001/09,2001/08,2001/07,2001/06,2001/05,2001/04,2001/03,2001/02,2001/01,2000/12,2000/11,2000/10,2000/09,2000/08,2000/07,2000/06,2000/05,2000/04,2000/03,2000/02,2000/01,1999/12,1999/11,1999/10,1999/09,1999/08,1999/07,1999/06,1999/05,1999/04,1999/03,1999/02,1999/01,1998/12,1998/11,1998/10,1998/09,1998/08,1998/07,1998/06,1998/05,1998/04,1998/03,1998/02,1998/01)
> par2 = '12'
> par1 = 'additive'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par2 <- as.numeric(par2)
> x <- ts(x,freq=par2)
> m <- decompose(x,type=par1)
> m$figure
 [1] -350.93849 -335.76034 -317.54613 -295.28294 -267.44961 -231.64603
 [7] -183.94613 -117.22221  -17.13925  149.66121  483.25438 1484.01554
> postscript(file="/var/www/html/rcomp/tmp/10ghf1218992121.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m)
> dev.off()
null device 
          1 
> mylagmax <- length(x)/2
> postscript(file="/var/www/html/rcomp/tmp/2s83u1218992121.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
> acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
> acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/393rz1218992121.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
> spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
> spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4eedd1218992121.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
> cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
> cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observations',header=TRUE)
> a<-table.element(a,'Fit',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Random',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:length(m$trend)) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
+ a<-table.element(a,m$trend[i])
+ a<-table.element(a,m$seasonal[i])
+ a<-table.element(a,m$random[i])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5yrbc1218992122.tab") 
> 
> system("convert tmp/10ghf1218992121.ps tmp/10ghf1218992121.png")
> system("convert tmp/2s83u1218992121.ps tmp/2s83u1218992121.png")
> system("convert tmp/393rz1218992121.ps tmp/393rz1218992121.png")
> system("convert tmp/4eedd1218992121.ps tmp/4eedd1218992121.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.448   1.074   2.612