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(37800,36400,38500,30800,39900,39200,42000,43400,48300,42000,39900,49700,42000,31500,37100,28000,39200,32200,42700,38500,40600,45500,44800,53200,38500,32200,35700,25900,37100,28700,40600,38500,34300,49000,44100,50400,37800,35000,31500,25900,34300,30800,42000,40600,35000,46900,43400,56000,44800,27300,27300,27300,32200,32200,43400,39900,35700,44800,41300,59500,46900,27300,28700,23800,32900,37800,47600,46900,37800,44100,39200,56000,42700,34300,30800,23100,34300,41300,48300,45500,33600,48300,37800,58100,48300,35000,32200,21700,34300,32900,49700,49700,37800,49000,36400,56700,48300,35700,27300,18900,37100,35700,46900,53900,39900,44800,33600,58100)
> 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]   4758.724  -6696.484  -7669.922 -14640.755  -3772.526  -5008.464
 [7]   5400.391   3686.849  -1238.672   7194.141   1933.203  16053.516
> postscript(file="/var/wessaorg/rcomp/tmp/10qgj1439732502.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/2nx831439732502.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3qcdg1439732502.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4wb5e1439732502.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5urxm1439732502.tab") 
> 
> try(system("convert tmp/10qgj1439732502.ps tmp/10qgj1439732502.png",intern=TRUE))
character(0)
> try(system("convert tmp/2nx831439732502.ps tmp/2nx831439732502.png",intern=TRUE))
character(0)
> try(system("convert tmp/3qcdg1439732502.ps tmp/3qcdg1439732502.png",intern=TRUE))
character(0)
> try(system("convert tmp/4wb5e1439732502.ps tmp/4wb5e1439732502.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.776   0.348   2.117