R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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> x <- c(193590,193745,193885,194040,194190,194345,194495,194650,194805,194955,195110,195260,195415,195570,195710,195865,196015,196170,196320,196475,196630,196780,196935,197085,197240,197395,197540,197695,197845,198000,198150,198305,198460,198610,198765,198915,199070,199225,199365,199520,199670,199825,199975,200130,200285,200435,200590,200740,200895,201050,201190,201345,201495,201650,201800,201955,202110,202260,202415,202565,202720,202875,203015,203170,203320,203475,203625,203780,203935,204085,204240,204390,204545,204700,204845,205000,205150,205305,205455,205610,205765,205915,206070,206220,206375,206530,206670,206825,206975,207130,207280,207435,207590,207740,207895,208045,208200,208355,208495,208650,208800,208955,209105,209260,209415,209565,209720,209870)
> 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]  3.48958333  6.30208333 -4.63541667 -1.82291667 -4.01041667 -1.19791667
 [7] -3.38541667 -0.57291667  2.23958333  0.05208333  2.86458333  0.67708333
> postscript(file="/var/wessaorg/rcomp/tmp/1zyim1439767925.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/2lngr1439767925.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3xx981439767925.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4ipk31439767925.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5dvss1439767925.tab") 
> 
> try(system("convert tmp/1zyim1439767925.ps tmp/1zyim1439767925.png",intern=TRUE))
character(0)
> try(system("convert tmp/2lngr1439767925.ps tmp/2lngr1439767925.png",intern=TRUE))
character(0)
> try(system("convert tmp/3xx981439767925.ps tmp/3xx981439767925.png",intern=TRUE))
character(0)
> try(system("convert tmp/4ipk31439767925.ps tmp/4ipk31439767925.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.752   0.249   2.017