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(865911,858030,850038,833499,997113,988455,865911,784437,792318,792318,801087,816849,865911,850038,874569,914862,1144188,1144188,1095237,1046175,1086468,1135530,1144188,1168719,1242312,1193250,1193250,1266843,1470861,1487400,1446330,1348206,1421799,1421799,1429680,1470861,1503273,1519812,1519812,1568874,1757130,1806081,1813962,1691418,1757130,1732599,1683537,1789542,1813962,1772892,1781550,1838493,2051280,2157174,2157174,2108223,2181705,2108223,2067042,2222886,2247306,2189586,2336661,2394381,2565987,2679873,2664111,2655342,2721054,2713062,2615049,2762124,2811186,2762124,2966142,3064266,3292704,3382836,3358416,3309354,3350424,3399486,3235761,3366297,3448548,3415359,3628035,3701517,4012317,4069260,3995778,4036848,4061379,4085910,3930066,4077141,4158615,4077141,4314459,4387941,4706622,4755684,4771446,4853697,4853697,4886109,4739034,4812627,4861578,4771446,5033184,5082246,5408808,5466528,5548002,5621595,5629476,5638134,5491059,5638134)
> 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] 0.9847820 0.9497747 0.9687453 0.9803680 1.0710574 1.0754949 1.0456278
 [8] 0.9966125 1.0050132 0.9910422 0.9552278 0.9762543
> postscript(file="/var/fisher/rcomp/tmp/14muf1377071531.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/29myg1377071531.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/36voo1377071531.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/4nwxv1377071531.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5xavv1377071532.tab") 
> 
> try(system("convert tmp/14muf1377071531.ps tmp/14muf1377071531.png",intern=TRUE))
character(0)
> try(system("convert tmp/29myg1377071531.ps tmp/29myg1377071531.png",intern=TRUE))
character(0)
> try(system("convert tmp/36voo1377071531.ps tmp/36voo1377071531.png",intern=TRUE))
character(0)
> try(system("convert tmp/4nwxv1377071531.ps tmp/4nwxv1377071531.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.476   0.395   2.854