R version 3.2.2 (2015-08-14) -- "Fire Safety"
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> x <- c(2754542000,2899512000,2928886000,3011252000,2932895000,3069307000,2863923000,2585491000,2993900000,3023542000,2491370000,2341705000,2126472000,2196705000,2368313000,2285174000,2163877000,2299241000,2275643000,2163091000,2416149000,2434553000,2281937000,2440464000,2255745000,2389872000,2863148000,2623516000,2558136000,2898129000,2537720000,2543469000,2779739000,2884779000,2711624000,2817771000,2884477000,3058996000,3285298000,2879617000,3220416000,3144280000,2940811000,2986507000,3153720000,2995806000,2990242000,2879837000,2848699000,3138385000,3532447000,3121872000,3309250000,3215022000,2966778000,3010284000,3083824000,3257727000,3180374000,3036414000,2966714000,3067677000,3339789000,3299861000,3193328000,3181266000,3193356000,2898282000,2929524000,3217311000,3126249000,3131083000,3008058000,2868318000,3207495000,3109336000,3070725000,2989963000,3287552000,2835238000,3368961000,3291689000,3008536000,2974109000)
> 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] 0.9382666 0.9738820 1.0826850 1.0075189 1.0140253 1.0283283 0.9852296
 [8] 0.9490250 1.0206050 1.0453663 0.9806799 0.9743880
> postscript(file="/var/wessaorg/rcomp/tmp/1igi01448565261.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/2gcwo1448565261.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3zres1448565261.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/47qcc1448565261.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5goe91448565261.tab") 
> 
> try(system("convert tmp/1igi01448565261.ps tmp/1igi01448565261.png",intern=TRUE))
character(0)
> try(system("convert tmp/2gcwo1448565261.ps tmp/2gcwo1448565261.png",intern=TRUE))
character(0)
> try(system("convert tmp/3zres1448565261.ps tmp/3zres1448565261.png",intern=TRUE))
character(0)
> try(system("convert tmp/47qcc1448565261.ps tmp/47qcc1448565261.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.582   0.298   1.891