R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(98.6,98.8,99.9,100.3,100.2,100.2,100.6,100.4,100.7,100.9,99.7,99.7,96.8,99.2,99.9,99.3,98.9,98.9,98.7,98.4,98.6,98.5,98.1,98.3,98.1,97.9,99.1,98.5,98.2,97.8,98,98,97.6,97.6,97.6,97.5,96.1,96.1,96.3,96.3,96.3,96,96,95.2,96,96.1,95.3,95.1,94.8,94.5,94.7,94.8,94.5,94.5,92.8,92.8,94.5,94.4,94.2,94.1,92.9,93.3,93.6,93.6,94,94,94.2,93.3,93,93,94.7,95.6,95.8,96,95.4,95.3,94.4,94.4,94.3,93.9,94.5,93.6,93.9,93.9,93.7,94.6,94.4,94,91.1,91.1,90.7,90.8,89.8,90.7,90.3,89.7,89,88.4,89.3,89.3,89.3,89.3,88.4,89.4,91.3,90.9,91,89.3,88.1,89,90.1,90.6,90.6,90.2,89.5,90.5,90.4,89.7,90,90.2,89.3,89.6,89.8,89.4,89.3,89.4,89.5,89.2,90,88,88.3,89.1)
> 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] -0.62795139 -0.13503472  0.35621528  0.30454861 -0.04420139 -0.05253472
 [7] -0.28545139 -0.25836806  0.19204861  0.17954861  0.21038194  0.16079861
> postscript(file="/var/wessaorg/rcomp/tmp/1tzew1323896192.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/25rk91323896192.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3nm5h1323896192.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4n7ql1323896192.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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,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/wessaorg/rcomp/tmp/523py1323896192.tab") 
> 
> try(system("convert tmp/1tzew1323896192.ps tmp/1tzew1323896192.png",intern=TRUE))
character(0)
> try(system("convert tmp/25rk91323896192.ps tmp/25rk91323896192.png",intern=TRUE))
character(0)
> try(system("convert tmp/3nm5h1323896192.ps tmp/3nm5h1323896192.png",intern=TRUE))
character(0)
> try(system("convert tmp/4n7ql1323896192.ps tmp/4n7ql1323896192.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.681   0.226   1.903