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(100.01,103.84,104.48,95.43,104.80,108.64,105.65,108.42,115.35,113.64,115.24,100.33,101.29,104.48,99.26,100.11,103.52,101.18,96.39,97.56,96.39,85.10,79.77,79.13,80.84,82.75,92.55,96.60,96.92,95.32,98.52,100.22,104.91,103.10,97.13,103.42,111.72,118.11,111.62,100.22,102.03,105.76,107.68,110.77,105.44,112.26,114.07,117.90,124.72,126.42,134.73,135.79,143.36,140.37,144.74,151.98,150.92,163.38,154.43,146.66,157.95,162.10,180.42,179.57,171.58,185.43,190.64,203.00,202.36,193.41,186.17,192.24,209.60,206.41,209.82,230.37,235.80,232.07,244.64,242.19,217.48,209.39,211.73,221.00,203.11,214.71,224.19,238.04,238.36,246.24,259.87,249.97,266.48,282.98,306.31,301.73,314.62,332.62,355.51,370.32,408.13,433.58,440.51,386.29,342.84,254.97,203.42,170.09,174.03,167.85,177.01,188.19,211.20,240.91,230.26,251.25,241.66)
> par2 = '12'
> par1 = 'multiplicative'
> #'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] 0.9681356 0.9842588 1.0086889 1.0165896 1.0335863 1.0447214 1.0626328
 [8] 1.0515873 1.0187929 0.9712183 0.9265796 0.9132085
> postscript(file="/var/www/html/rcomp/tmp/1p5ku1259954974.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/2awm81259954974.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3fx9d1259954974.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4v4dn1259954974.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/55qm21259954974.tab") 
> system("convert tmp/1p5ku1259954974.ps tmp/1p5ku1259954974.png")
> system("convert tmp/2awm81259954974.ps tmp/2awm81259954974.png")
> system("convert tmp/3fx9d1259954974.ps tmp/3fx9d1259954974.png")
> system("convert tmp/4v4dn1259954974.ps tmp/4v4dn1259954974.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.286   0.672   3.803