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(182900,191400,189300,192200,187900,193900,189100,193100,194800,200200,211500,202100,200300,199200,204900,207300,200000,197700,202200,200200,208300,215100,210700,208100,209000,211000,210200,205500,211400,211700,209300,207500,203300,207100,206900,228700,226900,226500,227100,228100,226500,225200,217800,221300,215300,231300,227100,237800,230200,233400,231100,237200,243700,239700,248400,241000,254500,242800,268300,253900,262100,264100,261000,269300,260400,263200,279200,272200,269200,289600,283200,284300,283000,289100,289600,289100,287400,279600,289300,295000,299600,293600,294400,290200,301000,307900,298800,310300,293900,305000,311300,317300,296200,306800,291800,301900,314600,321500,329400,311700,309700,306500,307100,301300,292200,310100,316800,284400,284600,301200,287600,314300,298200,299400,301900,265500,287100,274000,290100,263100,245200,258600,259800,269800,274600,274800,271100,257800,290300,262200,270000,290600)
> 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] -2491.59722  2457.15278   489.65278  4143.40278   -38.68056  -951.18056
 [7]  1170.48611 -3489.09722 -3452.84722   940.06944  3275.48611 -2052.84722
> postscript(file="/var/www/html/rcomp/tmp/1m16w1275048312.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/2m16w1275048312.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3ft6h1275048312.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4ft6h1275048312.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5t2l81275048312.tab") 
> 
> try(system("convert tmp/1m16w1275048312.ps tmp/1m16w1275048312.png",intern=TRUE))
character(0)
> try(system("convert tmp/2m16w1275048312.ps tmp/2m16w1275048312.png",intern=TRUE))
character(0)
> try(system("convert tmp/3ft6h1275048312.ps tmp/3ft6h1275048312.png",intern=TRUE))
character(0)
> try(system("convert tmp/4ft6h1275048312.ps tmp/4ft6h1275048312.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.322   0.670   3.957