R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(5452304,5431998,5411406,5368792,5790356,5768048,5452304,5242380,5262686,5262686,5285280,5325892,5389098,5389098,5348486,5242380,5790356,5873868,5747742,5452304,5578716,5389098,5474612,5515510,5558124,5452304,5474612,5325892,5790356,5937074,5810948,5578716,5831254,5558124,5810948,5790356,5853562,5621330,5873868,5853562,6232512,6146998,5810948,5641636,5873868,5558124,5790356,5831254,5916768,5727436,5831254,5894460,6126692,5937074,5684536,5411406,5664230,4969250,5305586,5494918,5684536,5411406,5411406,5411406,5558124,5348486,5073354,4843124,5010148,4358068,4757610,4989842,5032456,4800224,4820530,4757610,4969250,4820530,4527380,4315454,4673812,3895606,4400968,4631198,4631198,4358068,4105530,4085224,4315454,4105530,3706274,3431142,3726580,3031886,3663374,3999424,4105530,3873298,3579862,3789786,3873298,3810092,3178318,2885168,3094806,2463318,3115398,3347630,3536962,3221218,2925780,3094806,3178318,3011294,2379806,2104674,2357212,1662518,2420418,2885168)
> par2 = '12'
> par1 = 'additive'
> par2 <- '12'
> par1 <- 'additive'
> #'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]  189196.83   11964.22  -13730.76   25698.84  319988.87  250839.10
 [7]  -27750.05 -252033.64  -17538.80 -465496.89  -96435.07   75297.33
> postscript(file="/var/wessaorg/rcomp/tmp/1l83q1439722630.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/2hpbh1439722630.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3z4sl1439722630.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4058r1439722630.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5iii81439722630.tab") 
> 
> try(system("convert tmp/1l83q1439722630.ps tmp/1l83q1439722630.png",intern=TRUE))
character(0)
> try(system("convert tmp/2hpbh1439722630.ps tmp/2hpbh1439722630.png",intern=TRUE))
character(0)
> try(system("convert tmp/3z4sl1439722630.ps tmp/3z4sl1439722630.png",intern=TRUE))
character(0)
> try(system("convert tmp/4058r1439722630.ps tmp/4058r1439722630.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.779   0.308   2.104