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(13.193,15.234,14.718,16.961,13.945,15.876,16.226,18.316,16.748,17.904,17.209,18.950,17.225,18.710,17.236,18.687,17.580,19.568,17.381,19.580,17.260,18.661,15.658,18.674,15.908,17.475,17.725,19.562,16.368,19.555,17.743,19.867,15.703,19.324,18.162,19.074,15.323,19.704,18.375,18.352,13.927,17.795,16.761,18.902,16.239,19.158,18.279,15.698,16.239,18.431,18.414,19.801,14.995,18.706,18.232,19.409,16.263,19.017,20.298,19.891,15.203,17.845,17.502,18.532,15.737,17.770,17.224,17.601,14.940,18.507,17.635,19.392,15.699,17.661,18.243,19.643,15.770,17.344,17.229,17.322,16.152,17.919,16.918,18.114,16.308,17.759,16.021,17.952,15.954,17.762,16.610,17.751,15.458,18.106,15.990,15.349,13.185,15.409,16.007,16.633,14.800,15.974,15.693)
> par2 = '4'
> 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] -1.67810156  0.72676823 -0.06297656  1.01430990
> postscript(file="/var/www/rcomp/tmp/1sr441292686081.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/2li3p1292686081.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3li3p1292686081.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4ju9h1292686081.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5a1i11292686081.tab") 
> 
> try(system("convert tmp/1sr441292686081.ps tmp/1sr441292686081.png",intern=TRUE))
character(0)
> try(system("convert tmp/2li3p1292686081.ps tmp/2li3p1292686081.png",intern=TRUE))
character(0)
> try(system("convert tmp/3li3p1292686081.ps tmp/3li3p1292686081.png",intern=TRUE))
character(0)
> try(system("convert tmp/4ju9h1292686081.ps tmp/4ju9h1292686081.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.360   0.700   2.055