R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(13953.3,14657.7,16686.2,15232.4,15014.1,16688.6,13969.6,14546.8,16292,15039,17433.8,17798.4,16870.9,16659.3,19620.4,15953.5,17420.9,17647.5,15200.8,15637.3,17124.5,17659.4,17815,16165.6,17416.6,16823.9,19171.2,16806.8,18112.8,18485.5,17668,16324.3,17877.5,20136.7,19307,17776.3,19861.3,18757,19879.3,21068.4,19358,20639.2,20008.1,18150.1,21180.4,20428.9,17241.2,15969.3,14972.4,14488.3,15885.1,14305.3,13891.5,15431.6,14199.3,13542.6,16226.3,16786.1,16034.3,16744.5,15896.5,15781.8,18590.3,17416.8,16983,18829.4,16748.6,16502.8,18616.6,19136.4,19523.9,18970.2,20118.2,20125.4,23117.8,20014.6,22228.5,20819.1,19208.9,19953.3,21041.3,20006.8,21045.1,20496.3,20873.5,21304.2,23137.8,20514.2,21343.5,20967.2,20024.4,19602.7,19804.1,22173.9,21802.6,19452.2)
> 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]  -125.9265  -487.7045  1670.1527  -296.4080   100.6318   562.1116
 [7]  -990.1860 -1406.0973   473.2807   522.6818   340.2818  -362.8182
> postscript(file="/var/wessaorg/rcomp/tmp/1fuqw1386258086.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/24ody1386258086.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/33qow1386258086.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4hhdg1386258086.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5kxyb1386258086.tab") 
> 
> try(system("convert tmp/1fuqw1386258086.ps tmp/1fuqw1386258086.png",intern=TRUE))
character(0)
> try(system("convert tmp/24ody1386258086.ps tmp/24ody1386258086.png",intern=TRUE))
character(0)
> try(system("convert tmp/33qow1386258086.ps tmp/33qow1386258086.png",intern=TRUE))
character(0)
> try(system("convert tmp/4hhdg1386258086.ps tmp/4hhdg1386258086.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.162   0.861   5.003