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(3207324
+ ,3178086
+ ,3148485
+ ,3087246
+ ,3693267
+ ,3661164
+ ,3207324
+ ,2905563
+ ,2934699
+ ,2934699
+ ,2967168
+ ,3025542
+ ,3207324
+ ,3148485
+ ,3239325
+ ,3388641
+ ,4238049
+ ,4238049
+ ,4056732
+ ,3874950
+ ,4024266
+ ,4205949
+ ,4238049
+ ,4328892
+ ,4601499
+ ,4419732
+ ,4419732
+ ,4692342
+ ,5448042
+ ,5509281
+ ,5357202
+ ,4993734
+ ,5266260
+ ,5266260
+ ,5295495
+ ,5448042
+ ,5568120
+ ,5629359
+ ,5629359
+ ,5811042
+ ,6508356
+ ,6689670
+ ,6718809
+ ,6264966
+ ,6508356
+ ,6417513
+ ,6235746
+ ,6628434
+ ,6718809
+ ,6566727
+ ,6598830
+ ,6809748
+ ,7597920
+ ,7990056
+ ,7990056
+ ,7808739
+ ,8080980
+ ,7808739
+ ,7656276
+ ,8233527
+ ,8323902
+ ,8110134
+ ,8654901
+ ,8868684
+ ,9504309
+ ,9926133
+ ,9867774
+ ,9835290
+ ,10078677
+ ,10049076
+ ,9686076
+ ,10230759
+ ,10412541
+ ,10230759
+ ,10986462
+ ,11349927
+ ,12196086
+ ,12529950
+ ,12439476
+ ,12257691
+ ,12409872
+ ,12591555
+ ,11985168
+ ,12468612
+ ,12773337
+ ,12650394
+ ,13438098
+ ,13710240
+ ,14861511
+ ,15072414
+ ,14800254
+ ,14952351
+ ,15043194
+ ,15134034
+ ,14556783
+ ,15101568
+ ,15403311
+ ,15101568
+ ,15980562
+ ,16252821
+ ,17433111
+ ,17614893
+ ,17673267
+ ,17977893
+ ,17977893
+ ,18097971
+ ,17553189
+ ,17825814
+ ,18007131
+ ,17673267
+ ,18642738
+ ,18824436
+ ,20034063
+ ,20247849
+ ,20549592
+ ,20822217
+ ,20851353
+ ,20883456
+ ,20338689
+ ,20883456)
> 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 0.9687436 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/1hy931375887302.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/21rso1375887302.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/38ary1375887302.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4833v1375887302.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5b3jb1375887302.tab") 
> 
> try(system("convert tmp/1hy931375887302.ps tmp/1hy931375887302.png",intern=TRUE))
character(0)
> try(system("convert tmp/21rso1375887302.ps tmp/21rso1375887302.png",intern=TRUE))
character(0)
> try(system("convert tmp/38ary1375887302.ps tmp/38ary1375887302.png",intern=TRUE))
character(0)
> try(system("convert tmp/4833v1375887302.ps tmp/4833v1375887302.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  6.254   1.102   7.417