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(0.0314796223103059
+ ,-3.00870920563557
+ ,-2.07677512619799
+ ,-1.25010391965540
+ ,0.817975239137125
+ ,0.0252076485413113
+ ,0.554937772830776
+ ,0.230027371950115
+ ,2.35672227418686
+ ,1.41350455171120
+ ,2.73311719024401
+ ,1.31551925971717
+ ,-2.70076272244080
+ ,-0.721411049152714
+ ,-0.149388576811997
+ ,-0.118199629770334
+ ,-0.676562489695275
+ ,1.79699928690761
+ ,1.79845572032988
+ ,0.245100010770855
+ ,1.80710848932636
+ ,-1.75934771184948
+ ,-0.0186697168761931
+ ,0.189651523600062
+ ,-1.84149562719087
+ ,-1.07019530156943
+ ,-0.507291477584104
+ ,0.866365633831705
+ ,-1.76077926699189
+ ,-0.580719393339347
+ ,-0.435702079860853
+ ,-0.994868534845203
+ ,1.63136048315789
+ ,-1.1949403709466
+ ,-1.00525975426991
+ ,1.32302234837564
+ ,-0.628357549594746
+ ,0.632048410440518
+ ,-2.16903155809288
+ ,2.53779364144266
+ ,-0.632933703679292
+ ,-1.41749196342200
+ ,-0.455343045381255
+ ,0.812255211942954
+ ,0.627897309219833
+ ,0.650904313655623
+ ,-1.29800419154382
+ ,0.74391671726854
+ ,-1.50461634127457
+ ,-1.42734677658523
+ ,0.263353807408564
+ ,-0.430830854870631
+ ,0.379576092518008
+ ,1.70309353400146
+ ,-3.12314448117342
+ ,-1.32526207118689
+ ,-0.60032490743804
+ ,1.23607137604666
+ ,0.738007075905376
+ ,0.899100896289585)
> 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]  0.202293392  0.007234935  0.268676719 -0.527992126 -0.659866406
 [6]  1.476351016  2.041365458  0.099484090  9.694350733 -0.637607358
[11]  0.174808397 -0.139098851
> postscript(file="/var/www/html/rcomp/tmp/1joix1259788447.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/23ycf1259788447.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/36vqx1259788447.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4mqln1259788447.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5vxw01259788447.tab") 
> system("convert tmp/1joix1259788447.ps tmp/1joix1259788447.png")
> system("convert tmp/23ycf1259788447.ps tmp/23ycf1259788447.png")
> system("convert tmp/36vqx1259788447.ps tmp/36vqx1259788447.png")
> system("convert tmp/4mqln1259788447.ps tmp/4mqln1259788447.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.959   0.604   1.147