R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(3028,3017,3007,2986,3193,3183,3028,2924,2935,2935,2945,2966,2955,3038,3069,3038,3152,3079,2914,2873,2873,2893,2811,2873,2821,2873,2955,2986,3059,3028,2842,2769,2738,2769,2718,2738,2676,2780,2831,2842,3038,3038,2780,2718,2718,2749,2614,2552,2480,2501,2594,2521,2718,2749,2552,2480,2439,2480,2366,2325,2160,2201,2211,2222,2418,2397,2160,2056,2015,2067,1870,1736,1488,1509,1509,1488,1664,1674,1467,1426,1343,1457,1250,1126,889,940,878,899,1054,1085,982,971,971,1106,868,713,444,661,630,641,889,858,744,796,796,982,765,641,444,703,682,692,909,889,816,827,878,992,816,672)
> par2 = '12'
> par1 = 'multiplicative'
> par2 <- as.numeric(par2)
> x <- ts(x,freq=par2)
> m <- decompose(x,type=par1)
> m$figure
 [1] 0.8424491 0.9402364 0.9478050 0.9600941 1.1032235 1.1101633 1.0190413
 [8] 1.0163694 1.0172612 1.0939386 0.9980602 0.9513580
> postscript(file="/var/wessaorg/rcomp/tmp/1npfs1344082682.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m)
> dev.off()
null device 
          1 
> mylagmax <- length(x)/2
> postscript(file="/var/wessaorg/rcomp/tmp/2y07n1344082682.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/wessaorg/rcomp/tmp/3ngzk1344082682.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/4z8fh1344082682.ps",horizontal=F,onefile=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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/5pbdk1344082682.tab") 
> 
> try(system("convert tmp/1npfs1344082682.ps tmp/1npfs1344082682.png",intern=TRUE))
character(0)
> try(system("convert tmp/2y07n1344082682.ps tmp/2y07n1344082682.png",intern=TRUE))
character(0)
> try(system("convert tmp/3ngzk1344082682.ps tmp/3ngzk1344082682.png",intern=TRUE))
character(0)
> try(system("convert tmp/4z8fh1344082682.ps tmp/4z8fh1344082682.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.361   0.369   2.723