R version 3.0.1 (2013-05-16) -- "Good Sport"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(1155168,1144638,1133976,1111920,1330188,1318626,1155168,1046484,1056978,1056978,1068672,1089696,1155168,1133976,1166694,1220472,1526400,1526400,1461096,1395624,1449402,1514838,1526400,1559118,1657302,1591836,1591836,1690020,1962198,1984254,1929480,1798572,1896726,1896726,1907256,1962198,2005446,2027502,2027502,2092938,2344086,2409390,2419884,2256426,2344086,2311368,2245902,2387334,2419884,2365110,2376672,2452638,2736510,2877744,2877744,2812440,2910492,2812440,2757528,2965434,2997984,2920992,3117198,3194196,3423126,3575052,3554034,3542334,3629994,3619332,3488592,3684768,3750240,3684768,3956946,4087854,4392612,4512858,4480272,4414800,4469610,4535046,4316646,4490766,4600518,4556238,4839942,4937958,5352606,5428566,5330544,5385324,5418042,5450760,5242854,5439066,5547744,5439066,5755650,5853708,6278808,6344280,6365304,6475020,6475020,6518268,6322056,6420246,6485550,6365304,6714474,6779916,7215582,7292580,7401258,7499448,7509942,7521504,7325298,7521504)
> 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] 0.9847831 0.9497732 0.9687437 0.9803686 1.0710597 1.0754955 1.0456294
 [8] 0.9966125 1.0050130 0.9910399 0.9552278 0.9762536
> postscript(file="/var/wessaorg/rcomp/tmp/1srs91373034608.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/29kst1373034608.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/32lbh1373034608.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/43ay81373034608.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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,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/wessaorg/rcomp/tmp/52pjd1373034608.tab") 
> 
> try(system("convert tmp/1srs91373034608.ps tmp/1srs91373034608.png",intern=TRUE))
character(0)
> try(system("convert tmp/29kst1373034608.ps tmp/29kst1373034608.png",intern=TRUE))
character(0)
> try(system("convert tmp/32lbh1373034608.ps tmp/32lbh1373034608.png",intern=TRUE))
character(0)
> try(system("convert tmp/43ay81373034608.ps tmp/43ay81373034608.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.550   0.748   5.468