R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(1069108,1059362,1049495,1029082,1231089,1220388,1069108,968521,978233,978233,989056,1008514,1069108,1049495,1079775,1129547,1412683,1412683,1352244,1291650,1341422,1401983,1412683,1442964,1533833,1473244,1473244,1564114,1816014,1836427,1785734,1664578,1755420,1755420,1765165,1816014,1856040,1876453,1876453,1937014,2169452,2229890,2239603,2088322,2169452,2139171,2078582,2209478,2239603,2188909,2199610,2269916,2532640,2663352,2663352,2602913,2693660,2602913,2552092,2744509,2774634,2703378,2884967,2956228,3168103,3308711,3289258,3278430,3359559,3349692,3228692,3410253,3470847,3410253,3662154,3783309,4065362,4176650,4146492,4085897,4136624,4197185,3995056,4156204,4257779,4216798,4479366,4570080,4953837,5024138,4933418,4984117,5014398,5044678,4852261,5033856,5134437,5033856,5326854,5417607,5811037,5871631,5891089,5992631,5992631,6032657,5851063,5941938,6002377,5891089,6214246,6274812,6678021,6749283,6849864,6940739,6950451,6961152,6779563,6961152)
> par2 = '12'
> par1 = 'multiplicative'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par2 <- as.numeric(par2)
> x <- ts(x,freq=par2)
> m <- decompose(x,type=par1)
> m$figure
 [1] 0.9847831 0.9497732 0.9687436 0.9803686 1.0710596 1.0754955 1.0456294
 [8] 0.9966125 1.0050131 0.9910400 0.9552277 0.9762537
> postscript(file="/var/wessaorg/rcomp/tmp/1nx231310497874.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/2l5a91310497874.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3s4111310497874.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4a81d1310497874.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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,m$trend[i]+m$seasonal[i]) else 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/55eh01310497874.tab") 
> 
> try(system("convert tmp/1nx231310497874.ps tmp/1nx231310497874.png",intern=TRUE))
character(0)
> try(system("convert tmp/2l5a91310497874.ps tmp/2l5a91310497874.png",intern=TRUE))
character(0)
> try(system("convert tmp/3s4111310497874.ps tmp/3s4111310497874.png",intern=TRUE))
character(0)
> try(system("convert tmp/4a81d1310497874.ps tmp/4a81d1310497874.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.500   0.206   1.703