R version 3.0.1 (2013-05-16) -- "Good Sport"
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Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(293544,282672,298980,239184,309852,304416,326160,337032,375084,326160,309852,385956,326160,244620,288108,217440,304416,250056,331596,298980,315288,353340,347904,413136,298980,250056,277236,201132,288108,222876,315288,298980,266364,380520,342468,391392,293544,271800,244620,201132,266364,239184,326160,315288,271800,364212,337032,434880,347904,212004,212004,212004,250056,250056,337032,309852,277236,347904,320724,462060,364212,212004,222876,184824,255492,293544,369648,364212,293544,342468,304416,434880,331596,266364,239184,179388,266364,320724,375084,353340,260928,375084,293544,451188,375084,271800,250056,168516,266364,255492,385956,385956,293544,380520,282672,440316,375084,277236,212004,146772,288108,277236,364212,418572,309852,347904,260928,451188)
> par2 = '12'
> par1 = 'multiplicative'
> par2 <- '12'
> par1 <- 'multiplicative'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 ()
> #Author: root
> #To cite this work: Wessa P., (2013), Classical Decomposition (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_decompose.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> par2 <- as.numeric(par2)
> x <- ts(x,freq=par2)
> m <- decompose(x,type=par1)
> m$figure
 [1] 1.1213812 0.8276441 0.8040415 0.6260622 0.9032266 0.8703538 1.1374877
 [8] 1.0928731 0.9671823 1.1852957 1.0515499 1.4129020
> postscript(file="/var/fisher/rcomp/tmp/1hev41377079467.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/fisher/rcomp/tmp/2846h1377079467.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/3yaa31377079467.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/4oec41377079467.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observations',header=TRUE)
> a<-table.element(a,'Fit',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Random',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:length(m$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,signif(m$trend[i]+m$seasonal[i],6)) else a<-table.element(a,signif(m$trend[i]*m$seasonal[i],6))
+ a<-table.element(a,signif(m$trend[i],6))
+ a<-table.element(a,signif(m$seasonal[i],6))
+ a<-table.element(a,signif(m$random[i],6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/5woo41377079467.tab") 
> 
> try(system("convert tmp/1hev41377079467.ps tmp/1hev41377079467.png",intern=TRUE))
character(0)
> try(system("convert tmp/2846h1377079467.ps tmp/2846h1377079467.png",intern=TRUE))
character(0)
> try(system("convert tmp/3yaa31377079467.ps tmp/3yaa31377079467.png",intern=TRUE))
character(0)
> try(system("convert tmp/4oec41377079467.ps tmp/4oec41377079467.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.390   0.414   2.788