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(1165010
+ ,1160665
+ ,1156265
+ ,1147162.5
+ ,1237238.75
+ ,1232481.25
+ ,1165010
+ ,1120157.5
+ ,1124488.75
+ ,1124488.75
+ ,1129328.75
+ ,1138005
+ ,1151507.5
+ ,1151507.5
+ ,1142831.25
+ ,1120157.5
+ ,1237238.75
+ ,1255086.25
+ ,1228136.25
+ ,1165010
+ ,1192015
+ ,1151507.5
+ ,1169781.25
+ ,1178512.5
+ ,1187615
+ ,1165010
+ ,1169781.25
+ ,1138005
+ ,1237238.75
+ ,1268588.75
+ ,1241638.75
+ ,1192015
+ ,1245983.75
+ ,1187615
+ ,1241638.75
+ ,1237238.75
+ ,1250755
+ ,1201131.25
+ ,1255086.25
+ ,1250755
+ ,1331715
+ ,1313441.25
+ ,1241638.75
+ ,1205462.5
+ ,1255086.25
+ ,1187615
+ ,1237238.75
+ ,1245983.75
+ ,1264257.5
+ ,1223805
+ ,1245983.75
+ ,1259486.25
+ ,1309110
+ ,1268588.75
+ ,1214633.75
+ ,1156265
+ ,1210288.75
+ ,1061788.75
+ ,1133660
+ ,1174112.5
+ ,1214633.75
+ ,1156265
+ ,1156265
+ ,1156265
+ ,1187615
+ ,1142831.25
+ ,1084036.25
+ ,1034838.75
+ ,1070533.75
+ ,931205
+ ,1016578.75
+ ,1066188.75
+ ,1075305
+ ,1025681.25
+ ,1030012.5
+ ,1016578.75
+ ,1061788.75
+ ,1030012.5
+ ,967381.25
+ ,922102.5
+ ,998662.5
+ ,832383.75
+ ,940362.5
+ ,989560
+ ,989560
+ ,931205
+ ,877236.25
+ ,872905
+ ,922102.5
+ ,877236.25
+ ,791931.25
+ ,733136.25
+ ,796276.25
+ ,647831.25
+ ,782760
+ ,854562.5
+ ,877236.25
+ ,827626.25
+ ,764926.25
+ ,809778.75
+ ,827626.25
+ ,814110
+ ,679126.25
+ ,616481.25
+ ,661278.75
+ ,526350
+ ,665678.75
+ ,715302.5
+ ,755755
+ ,688283.75
+ ,625157.5
+ ,661278.75
+ ,679126.25
+ ,643431.25
+ ,508502.5
+ ,449707.5
+ ,503676.25
+ ,355231.25
+ ,517178.75
+ ,616481.25)
> 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] 1.0468877 1.0079831 0.9956121 1.0103089 1.0708308 1.0547020 0.9884360
 [8] 0.9419128 0.9920156 0.8928815 0.9785896 1.0198398
> postscript(file="/var/fisher/rcomp/tmp/1pypi1377066905.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/27zye1377066905.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/3cp081377066905.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/4ra9u1377066905.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/54u3y1377066905.tab") 
> 
> try(system("convert tmp/1pypi1377066905.ps tmp/1pypi1377066905.png",intern=TRUE))
character(0)
> try(system("convert tmp/27zye1377066905.ps tmp/27zye1377066905.png",intern=TRUE))
character(0)
> try(system("convert tmp/3cp081377066905.ps tmp/3cp081377066905.png",intern=TRUE))
character(0)
> try(system("convert tmp/4ra9u1377066905.ps tmp/4ra9u1377066905.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.174   0.550   3.700