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(102.8,106.3,103.7,106.9,104.3,105.4,96.2,95.7,95.9,93.6,94.7,94.5,96.6,96.7,98.9,102,105.2,106.4,99.3,96.4,93.1,95.6,93.3,96.7,105.6,105.2,107,104.9,104.5,105.2,99.7,100.2,98.5,98.4,97.1,98.4,100.6,111.3,119,117.8,108.8,109.3,103.5,103.7,110,105.5,110.4,106.7,110.2,105.2,108,108.1,107.2,106,99.4,100.2,100.3,100.8,99.5,100.2,103,111,120.5,109.5,106.6,105.5,103.9,104.9,104.8,99.6,97,95.4,99.3,103.9,107.4,107.4,111,113.2,108.5,113.3,113.8,105.3,107.5,109.4,118.9,119,115,124.1,120.5,117.7,117.1,118.1,119.6,118.8,124.9,124,124.9,121.7,121.6,125.1,127.9,129,130.1,130.3,127.9,124.1,125.7,129.2,129.2,132.6,131.5,131,125.8,127.2,127.3,127.5,122,118.4,118.3,115.5)
> 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]  0.2793596  2.0214892  4.2312114  4.1066744  2.5048225  2.5205633
 [7] -1.7294367 -1.4067515 -1.5349923 -4.2419367 -3.5197145 -3.2312886
> postscript(file="/var/www/html/rcomp/tmp/1gm0b1291660854.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/2gm0b1291660854.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/39v0e1291660854.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/414zz1291660854.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/555xn1291660854.tab") 
> 
> try(system("convert tmp/1gm0b1291660854.ps tmp/1gm0b1291660854.png",intern=TRUE))
character(0)
> try(system("convert tmp/2gm0b1291660854.ps tmp/2gm0b1291660854.png",intern=TRUE))
character(0)
> try(system("convert tmp/39v0e1291660854.ps tmp/39v0e1291660854.png",intern=TRUE))
character(0)
> try(system("convert tmp/414zz1291660854.ps tmp/414zz1291660854.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.233   0.671   3.316