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(106.61,107.86,108.07,109.68,108.57,108.08,109.8,110.7,110.72,109.85,109.71,110,110.87,111.16,110.63,110.26,110.79,111.75,111.75,112.31,112.29,111.86,111.22,112.42,111.94,112.77,113.99,114.22,112.38,114.98,115.94,117.63,117.76,118.11,120.88,121.87,122.34,122.42,122.17,121.99,124.96,125.94,126.59,127.11,125.44,125.53,125.35,124.3,123.62,124,124.47,126.89,124.87,124.55,125.31,126.02,125.31,125.3,123.83,124.49,124.92,125.77,127.27,127.35,126.05,126.84,127.75,126.78,126.98,127.89,127.9,128.06,125.39,128.13,127.97,127.56,126.89,127.8,128.05,128.98,128.55,129.35,129.97,130.89,129.8,132.32,131.1,131.44,132.55,133.35,132.53,131.11,130.02,128.91,129.98,130.91)
> 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] -0.79144345  0.05034226 -0.03888393  0.03421131 -0.37418155  0.34069940
 [7]  0.36546131  0.70183036  0.06486607 -0.08174107 -0.21543155 -0.05572917
> postscript(file="/var/www/html/rcomp/tmp/15a431249381159.ps",horizontal=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/2t2a61249381159.ps",horizontal=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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3f6l41249381159.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4ssuz1249381159.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5d3yu1249381159.tab") 
> 
> system("convert tmp/15a431249381159.ps tmp/15a431249381159.png")
> system("convert tmp/2t2a61249381159.ps tmp/2t2a61249381159.png")
> system("convert tmp/3f6l41249381159.ps tmp/3f6l41249381159.png")
> system("convert tmp/4ssuz1249381159.ps tmp/4ssuz1249381159.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.087   0.600   1.804