R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(88.1,101.7,114.8,103.4,96.4,110,71.1,79.4,119.2,99.1,113.2,103.6,97.5,102.4,120.8,89.5,101.7,112.5,72.4,84.7,117.2,112.8,111.3,102.3,95.2,103,116.4,95.1,100.7,112.4,75.3,93.3,118.6,118.7,110.7,113.3,89.5,106.3,115.1,105.7,95.8,114.7,79.6,80.6,125,127.5,99.5,104.3,90,96,108.9,95.8,87.2,108.4,74.9,80.8,119.1,107.9,106.9,96.8,93.7,95.2,112.7,98.5,91.5,112,76.7,84.7,114.9,108.4,104.6,111.3,90.8,109.1,121,95.2,110.5,102.4,86.7,99.1,126,110.3,104.6,103.1,102)
> par2 = '12'
> par1 = 'additive'
> par2 <- as.numeric(par2)
> x <- ts(x,freq=par2)
> m <- decompose(x,type=par1)
> m$figure
 [1]  -8.7624752   0.2090526  13.8416915  -5.4666419  -4.2180308   8.3451637
 [7] -25.1509673 -17.4069196  17.5819692  10.9958581   6.2548859   3.7764137
> postscript(file="/var/wessaorg/rcomp/tmp/1y4lc1353700687.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m)
> dev.off()
null device 
          1 
> mylagmax <- length(x)/2
> postscript(file="/var/wessaorg/rcomp/tmp/2t2di1353700687.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3iwpa1353700687.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/4k9k21353700687.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$trend)) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,m$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/5b0601353700687.tab") 
> 
> try(system("convert tmp/1y4lc1353700687.ps tmp/1y4lc1353700687.png",intern=TRUE))
character(0)
> try(system("convert tmp/2t2di1353700687.ps tmp/2t2di1353700687.png",intern=TRUE))
character(0)
> try(system("convert tmp/3iwpa1353700687.ps tmp/3iwpa1353700687.png",intern=TRUE))
character(0)
> try(system("convert tmp/4k9k21353700687.ps tmp/4k9k21353700687.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.561   0.451   2.993