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(69731,68504,67277,64823,89654,88427,69731,57316,58542,58542,59770,62357,54862,47354,41207,41207,64823,67277,48581,27431,38620,38620,47354,52396,51168,38620,44900,42434,63584,58542,38620,23738,37392,41207,44900,49808,39846,31246,34939,36166,68504,68504,49808,47354,54862,51168,61130,73546,76012,58542,53622,48581,82280,84746,78466,84746,83507,73546,84746,97162,102203,87200,77238,84746,117084,127046,124592,129499,128273,115858,137008,142049,149423,127046,118312,128273,152010,173160,168119,168119,170585,161971,184361,184361,180546,159384,163199,165665,181895,203045,188041,195550,189269,185587,214246,207965,199230,186815,199230,205511,213006,222967,213006,219154,211657,210431,241542,244129,234168,216700,231581,237850,245357,256546,245357,254092,250277,236622,265279,265279)
> 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] 1.0564387 0.8802999 0.8699248 0.8717225 1.1625022 1.1920426 1.0107022
 [8] 0.9059720 0.9662887 0.9267982 1.0488745 1.1084336
> postscript(file="/var/wessaorg/rcomp/tmp/1sfc91375363587.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/23bu61375363587.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/34rfk1375363587.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4u4cy1375363587.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5rq3n1375363587.tab") 
> 
> try(system("convert tmp/1sfc91375363587.ps tmp/1sfc91375363587.png",intern=TRUE))
character(0)
> try(system("convert tmp/23bu61375363587.ps tmp/23bu61375363587.png",intern=TRUE))
character(0)
> try(system("convert tmp/34rfk1375363587.ps tmp/34rfk1375363587.png",intern=TRUE))
character(0)
> try(system("convert tmp/4u4cy1375363587.ps tmp/4u4cy1375363587.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.985   0.580   3.545