R version 2.12.0 (2010-10-15)
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(52347,52407,50570,50442,50590,50040,50476,50268,50595,48708,48547,48196,48375,47915,46462,46132,46308,46532,46817,46824,46263,45992,46404,46995,48102,48719,47912,48430,50141,50608,51005,51857,52513,52406,53634,55165,57294,58026,56701,58706,60103,61153,62395,63850,64534,65765,66954,65741,65474,60687,59227,59373,59995,59532,59696,59507,60210,58782,59372,58827,60481,59508,56565,56201,56193,56431,56316,55316,54795,53310,51848,50618,52026,50120,46825,46374,45441,45392,45032,44302,42880,42101,41886,41415,43228,41633,39375,38603,37847,36881,36700,36477,35684,35896,37109,37612,39570,39518,37970,38343,37966,38942,39304,39438,38999,38110,40024,41050,42239,42313,41159,42067,42515,43554,45018,45797,46749,47291,48800,50566,54884,54002,51813,52751,54461,55364,56900,57795)
> par2 = '12'
> par1 = 'multiplicative'
> #'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] 1.0338633 1.0176364 0.9808781 0.9853525 0.9891294 0.9944990 1.0008207
 [8] 1.0015760 0.9971294 0.9889722 1.0030406 1.0071023
> postscript(file="/var/www/rcomp/tmp/1o7m41295188730.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/2ywtr1295188730.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/39e6f1295188730.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4cuds1295188730.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5n9b71295188730.tab") 
> 
> try(system("convert tmp/1o7m41295188730.ps tmp/1o7m41295188730.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ywtr1295188730.ps tmp/2ywtr1295188730.png",intern=TRUE))
character(0)
> try(system("convert tmp/39e6f1295188730.ps tmp/39e6f1295188730.png",intern=TRUE))
character(0)
> try(system("convert tmp/4cuds1295188730.ps tmp/4cuds1295188730.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.290   0.090   1.391