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(145756,145472,145160,144588,150460,150172,145756,142820,143108,143108,143392,143992,143992,141340,140172,141340,145472,144872,139288,134560,133676,131908,133104,134560,133988,132792,130456,132792,134872,134272,127492,124556,121620,119256,118972,120736,118372,117488,116604,121620,122192,119256,111304,107772,102188,99820,100988,102756,102756,101304,100988,105720,109540,107772,101872,98940,92756,88936,91872,94808,94808,90988,90704,95688,98940,97768,91872,88052,79788,76568,77736,82752,83036,75684,78336,84804,87740,85972,78024,72436,65968,60952,63004,67420,66252,59784,61836,68304,71840,69788,61836,58304,53004,47416,48300,52716,53288,47988,48872,56252,58016,55056,44168,38584,31204,23852,26216,29436,28868,23252,26500,34452,37984,36220,29152,23568,17668,10884,12084,14136)
> 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]  -320.5216 -3088.5957 -1528.2068  4831.7932  8898.9599  8372.4969
 [7]  1724.2377 -1123.0031 -4753.5957 -7193.9105 -4855.7438  -963.9105
> postscript(file="/var/fisher/rcomp/tmp/19bi51376747116.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/fisher/rcomp/tmp/2d0ek1376747116.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/350c81376747116.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/4py8e1376747116.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observations',header=TRUE)
> a<-table.element(a,'Fit',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Random',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:length(m$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/fisher/rcomp/tmp/5ei2n1376747116.tab") 
> 
> try(system("convert tmp/19bi51376747116.ps tmp/19bi51376747116.png",intern=TRUE))
character(0)
> try(system("convert tmp/2d0ek1376747116.ps tmp/2d0ek1376747116.png",intern=TRUE))
character(0)
> try(system("convert tmp/350c81376747116.ps tmp/350c81376747116.png",intern=TRUE))
character(0)
> try(system("convert tmp/4py8e1376747116.ps tmp/4py8e1376747116.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.692   0.500   3.171