R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(6195800,6172725,6149325,6100900,6579950,6554600,6195800,5957250,5980325,5980325,6006000,6052150,6123975,6123975,6077825,5957250,6579950,6674850,6531525,6195800,6339450,6123975,6221150,6267625,6316050,6195800,6221150,6052150,6579950,6746675,6603350,6339450,6626425,6316050,6603350,6579950,6651775,6387875,6674850,6651775,7082400,6985225,6603350,6410950,6674850,6316050,6579950,6626425,6723600,6508450,6626425,6698250,6962150,6746675,6459700,6149325,6436625,5646875,6029075,6244225,6459700,6149325,6149325,6149325,6316050,6077825,5765175,5503550,5693350,4952350,5406375,5670275,5718700,5454800,5477875,5406375,5646875,5477875,5144750,4903925,5311150,4426825,5001100,5262725,5262725,4952350,4665375,4642300,4903925,4665375,4211675,3899025,4234750,3445325,4162925,4544800,4665375,4401475,4068025,4306575,4401475,4329650,3611725,3278600,3516825,2799225,3540225,3804125,4019275,3660475,3324750,3516825,3611725,3421925,2704325,2391675,2678650,1889225,2750475,3278600)
> 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] 1.0468868 1.0079813 0.9956123 1.0103062 1.0708300 1.0547046 0.9884355
 [8] 0.9419146 0.9920160 0.8928823 0.9785894 1.0198410
> postscript(file="/var/wessaorg/rcomp/tmp/1yqhp1439741040.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/2su5x1439741040.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3e1rh1439741040.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4pkxz1439741040.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5dpix1439741040.tab") 
> 
> try(system("convert tmp/1yqhp1439741040.ps tmp/1yqhp1439741040.png",intern=TRUE))
character(0)
> try(system("convert tmp/2su5x1439741040.ps tmp/2su5x1439741040.png",intern=TRUE))
character(0)
> try(system("convert tmp/3e1rh1439741040.ps tmp/3e1rh1439741040.png",intern=TRUE))
character(0)
> try(system("convert tmp/4pkxz1439741040.ps tmp/4pkxz1439741040.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.852   0.272   2.142