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(-2.0,2.6,0.2,0.1,-0.1,0.1,-1.6,2.3,-0.3,0.0,0.1,0.4,-1.9,2.4,0.0,0.4,0.1,0.2,-1.3,2.1,-0.1,0.3,0.3,0.2,-1.9,2.7,0.0,-0.2,0.2,0.1,-1.5,2.1,-0.3,-0.2,0.2,0.3,-2.0,2.6,0.0,0.5,-0.1,0.2,-1.6,2.1,-0.2,0.0,0.2,0.2,-2.2,2.7,-0.3,0.4,-0.1,0.0,-1.6,2.2,-0.3,0.0,0.1,0.1,-1.9,2.5,0.1,-0.1,0.3,0.1,-1.9,2.5,-0.3,0.2,0.2,0.1,-2.4,3.1,-0.3,0.2,0.1,0.2,-1.8,2.4,-0.4,0.0,0.0,0.2,-2.4,3.2,0.0,0.1,0.1,0.1,-1.8,2.5,-0.6,0.0,0.0,0.4,-2.5,3.1,0.2,-0.3,0.3,0.4,-1.8,2.6,-0.3,0.3,0.0,0.4,-2.9,3.6,-0.1,0.3,0.0,0.3,-2.1,2.6,-0.2,0.0,-0.2,0.3,-3.1,3.4,-0.1,0.1,0.3,0.1,-2.5,3.1,-0.1,0.1,0.0)
> 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] -2.383101852  2.728935185 -0.195138889 -0.006712963 -0.049768519
 [6]  0.029861111 -1.853009259  2.203472222 -0.445138889 -0.076620370
[11] -0.053935185  0.101157407
> postscript(file="/var/www/html/rcomp/tmp/1vda81292527832.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/26msb1292527832.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/36msb1292527832.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4gv9w1292527832.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5unpn1292527832.tab") 
> 
> try(system("convert tmp/1vda81292527832.ps tmp/1vda81292527832.png",intern=TRUE))
character(0)
> try(system("convert tmp/26msb1292527832.ps tmp/26msb1292527832.png",intern=TRUE))
character(0)
> try(system("convert tmp/36msb1292527832.ps tmp/36msb1292527832.png",intern=TRUE))
character(0)
> try(system("convert tmp/4gv9w1292527832.ps tmp/4gv9w1292527832.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.310   0.665   3.202