R version 2.15.3 (2013-03-01) -- "Security Blanket"
Copyright (C) 2013 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(547084.00,639842.00,770730.00,911599.00,971249.00,925102.00,906046.00,1006991.00,1013942.00,991188.00,819356.00,793778.00,601962.00,685640.00,785923.00,954888.00,1029140.00,972811.00,951330.00,1012865.00,1005502.00,987489.00,828421.00,817308.00,625827.00,683491.00,848657.00,978027.00,1019467.00,980306.00,992574.00,1080411.00,1047988.00,1023560.00,871245.00,824793.00,645999.00,736888.00,874488.00,992614.00,1107708.00,955938.00,1024122.00,1081598.00,1028158.00,1006457.00,826725.00,839116.00,591481.00,671244.00,788395.00,912291.00,987428.00,873452.00,952046.00,1037521.00,958597.00,965368.00,780741.00,814377.00,594739.00,668940.00,815882.00,928023.00,1025552.00,945840.00,1020639.00,1109899.00,1033403.00,1050530.00,840420.00,820378.00,609379.00,678402.00,889241.00,998445.00,1054502.00,1076699.00,1093802.00,1134793.00,1054084.00,1068675.00,857337.00,855380.00)
> par2 = '12'
> par1 = 'additive'
> par2 <- '12'
> par1 <- 'additive'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par2 <- as.numeric(par2)
> x <- ts(x,freq=par2)
> m <- decompose(x,type=par1)
> m$figure
 [1] -288955.78 -215277.49  -70113.60   56019.87  131802.84   61319.46
 [7]   82325.23  162046.18  120672.91  108747.15  -68714.76  -79872.00
> postscript(file="/var/fisher/rcomp/tmp/1sogo1367858925.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/29tcy1367858925.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/38oxi1367858925.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/44qnw1367858925.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
+ a<-table.element(a,m$trend[i])
+ a<-table.element(a,m$seasonal[i])
+ a<-table.element(a,m$random[i])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/5a0sc1367858925.tab") 
> 
> try(system("convert tmp/1sogo1367858925.ps tmp/1sogo1367858925.png",intern=TRUE))
character(0)
> try(system("convert tmp/29tcy1367858925.ps tmp/29tcy1367858925.png",intern=TRUE))
character(0)
> try(system("convert tmp/38oxi1367858925.ps tmp/38oxi1367858925.png",intern=TRUE))
character(0)
> try(system("convert tmp/44qnw1367858925.ps tmp/44qnw1367858925.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.339   0.310   2.634