R version 2.12.1 (2010-12-16)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(101.5,100.7,110.6,96.8,100,104.8,86.8,92,100.2,106.6,102.1,93.7,97.6,96.9,105.6,102.8,101.7,104.2,92.7,91.9,106.5,112.3,102.8,96.5,101,98.9,105.1,103,99,104.3,94.6,90.4,108.9,111.4,100.8,102.5,98.2,98.7,113.3,104.6,99.3,111.8,97.3,97.7,115.6,111.9,107,107.1,100.6,99.2,108.4,103,99.8,115,90.8,95.9,114.4,108.2,112.6,109.1,105,105,118.5,103.7,112.5,116.6,96.6,101.9,116.5,119.3,115.4,108.5,111.5,108.8,121.8,109.6,112.2,119.6,104.1,105.3,115,124.1,116.8,107.5,115.6,116.2,116.3,119,111.9,118.6,106.9,103.2,118.6,118.7,102.8,100.6,94.9,94.5,102.9,95.3,92.5,102.7,91.5,89.5,104.2,105.2,99,95.5,90.5,96.1,113,101.9,101.4,113.6,96.6,97.8,114.9,112.5,108.4,107,103.5,107.5,122.3)
> 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] -3.1940201 -3.3329090  6.6388503 -0.3454090 -1.8018904  6.5629244
 [7] -8.5592978 -8.3579090  7.1823688  6.1198688  0.7499614 -1.6625386
> postscript(file="/var/www/rcomp/tmp/1fbok1322762824.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/rcomp/tmp/2isqk1322762824.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3kz5n1322762824.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4a9w31322762824.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observations',header=TRUE)
> a<-table.element(a,'Fit',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Random',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:length(m$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/rcomp/tmp/5nv3q1322762824.tab") 
> 
> try(system("convert tmp/1fbok1322762824.ps tmp/1fbok1322762824.png",intern=TRUE))
character(0)
> try(system("convert tmp/2isqk1322762824.ps tmp/2isqk1322762824.png",intern=TRUE))
character(0)
> try(system("convert tmp/3kz5n1322762824.ps tmp/3kz5n1322762824.png",intern=TRUE))
character(0)
> try(system("convert tmp/4a9w31322762824.ps tmp/4a9w31322762824.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.184   0.324   2.494