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(3469648.00
+ ,3456726.00
+ ,3443622.00
+ ,3416504.00
+ ,3684772.00
+ ,3670576.00
+ ,3469648.00
+ ,3336060.00
+ ,3348982.00
+ ,3348982.00
+ ,3363360.00
+ ,3389204.00
+ ,3429426.00
+ ,3429426.00
+ ,3403582.00
+ ,3336060.00
+ ,3684772.00
+ ,3737916.00
+ ,3657654.00
+ ,3469648.00
+ ,3550092.00
+ ,3429426.00
+ ,3483844.00
+ ,3509870.00
+ ,3536988.00
+ ,3469648.00
+ ,3483844.00
+ ,3389204.00
+ ,3684772.00
+ ,3778138.00
+ ,3697876.00
+ ,3550092.00
+ ,3710798.00
+ ,3536988.00
+ ,3697876.00
+ ,3684772.00
+ ,3724994.00
+ ,3577210.00
+ ,3737916.00
+ ,3724994.00
+ ,3966144.00
+ ,3911726.00
+ ,3697876.00
+ ,3590132.00
+ ,3737916.00
+ ,3536988.00
+ ,3684772.00
+ ,3710798.00
+ ,3765216.00
+ ,3644732.00
+ ,3710798.00
+ ,3751020.00
+ ,3898804.00
+ ,3778138.00
+ ,3617432.00
+ ,3443622.00
+ ,3604510.00
+ ,3162250.00
+ ,3376282.00
+ ,3496766.00
+ ,3617432.00
+ ,3443622.00
+ ,3443622.00
+ ,3443622.00
+ ,3536988.00
+ ,3403582.00
+ ,3228498.00
+ ,3081988.00
+ ,3188276.00
+ ,2773316.00
+ ,3027570.00
+ ,3175354.00
+ ,3202472.00
+ ,3054688.00
+ ,3067610.00
+ ,3027570.00
+ ,3162250.00
+ ,3067610.00
+ ,2881060.00
+ ,2746198.00
+ ,2974244.00
+ ,2479022.00
+ ,2800616.00
+ ,2947126.00
+ ,2947126.00
+ ,2773316.00
+ ,2612610.00
+ ,2599688.00
+ ,2746198.00
+ ,2612610.00
+ ,2358538.00
+ ,2183454.00
+ ,2371460.00
+ ,1929382.00
+ ,2331238.00
+ ,2545088.00
+ ,2612610.00
+ ,2464826.00
+ ,2278094.00
+ ,2411682.00
+ ,2464826.00
+ ,2424604.00
+ ,2022566.00
+ ,1836016.00
+ ,1969422.00
+ ,1567566.00
+ ,1982526.00
+ ,2130310.00
+ ,2250794.00
+ ,2049866.00
+ ,1861860.00
+ ,1969422.00
+ ,2022566.00
+ ,1916278.00
+ ,1514422.00
+ ,1339338.00
+ ,1500044.00
+ ,1057966.00
+ ,1540266.00
+ ,1836016.00)
> 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]  120397.985    7613.596   -8737.755   16353.809  203629.282  159624.883
 [7]  -17659.126 -160385.042  -11161.052 -296225.292  -61367.774   47916.485
> postscript(file="/var/wessaorg/rcomp/tmp/1ooh81439189031.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/2y4ji1439189031.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3vwx61439189031.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4ax541439189031.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5b3w41439189031.tab") 
> 
> try(system("convert tmp/1ooh81439189031.ps tmp/1ooh81439189031.png",intern=TRUE))
character(0)
> try(system("convert tmp/2y4ji1439189031.ps tmp/2y4ji1439189031.png",intern=TRUE))
character(0)
> try(system("convert tmp/3vwx61439189031.ps tmp/3vwx61439189031.png",intern=TRUE))
character(0)
> try(system("convert tmp/4ax541439189031.ps tmp/4ax541439189031.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.789   0.225   2.029