R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(96.1,96.5,96.9,97.8,98.9,100.2,101.2,101,101.6,102.4,103.7,103.7,104.6,104.5,104.5,105.6,106.1,107.6,107.7,108.3,108.1,108.1,108,108.2,108.9,109.8,109.9,109.8,110.9,111.1,112.2,112.7,114.6,114.2,114.7,114.7,116,116.3,116.4,116.6,118.1,117.2,108.3,109.5,110.5,110.6,111.2,111.1,111,112.4,112.5,112.4,111.8,111.6,112.9,112.8,113.7,113.8,114,113.8,113.9,114.4,114.4,114.5,113.8,114.3,115,115.4,115.3,114.9,114.3,114.5,115.5,115.8,115.8,116,114.9,114.1,114.1,113.5,115,114.7,115.4,116.1,116.6,117.2,118.2,118,117.7,118.5,117.5,118,117.7,116.3,115,115.7,113.6,114.8,114.9,117.3,117.3,117.7,120,119.6,119.2,117.3,117.5,119,112.5,118.9,118.4,119.4,120.6,118.6,122,122.6,120.6,117.4,116.4,122.2,121,122.4,124.9,126.1,124.5,123.2,126.4,123.9,116,126.6,125.9,126.6,116.7,126.4,129,128.7,128.4,129.2,133.3,128.9,132.7,127.7,131.8,133.9)
> par2 = '12'
> par1 = 'multiplicative'
> #'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] 0.9868794 1.0019410 1.0044425 1.0069312 1.0050866 1.0025563 1.0031104
 [8] 1.0014869 0.9960553 0.9967263 0.9947737 1.0000105
> postscript(file="/var/www/html/rcomp/tmp/1k0ne1292238238.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/www/html/rcomp/tmp/2k0ne1292238238.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3u9mh1292238238.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4504k1292238238.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observations',header=TRUE)
> a<-table.element(a,'Fit',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Random',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:length(m$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/www/html/rcomp/tmp/5r12q1292238238.tab") 
> 
> try(system("convert tmp/1k0ne1292238238.ps tmp/1k0ne1292238238.png",intern=TRUE))
character(0)
> try(system("convert tmp/2k0ne1292238238.ps tmp/2k0ne1292238238.png",intern=TRUE))
character(0)
> try(system("convert tmp/3u9mh1292238238.ps tmp/3u9mh1292238238.png",intern=TRUE))
character(0)
> try(system("convert tmp/4504k1292238238.ps tmp/4504k1292238238.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.399   0.696   3.214