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(8.1,7.7,7.5,7.6,7.8,7.8,7.8,7.5,7.5,7.1,7.5,7.5,7.6,7.7,7.7,7.9,8.1,8.2,8.2,8.2,7.9,7.3,6.9,6.6,6.7,6.9,7.0,7.1,7.2,7.1,6.9,7.0,6.8,6.4,6.7,6.6,6.4,6.3,6.2,6.5,6.8,6.8,6.4,6.1,5.8,6.1,7.2,7.3,6.9,6.1,5.8,6.2,7.1,7.7,7.9,7.7,7.4,7.5,8.0,8.1)
> par8 = 'FALSE'
> par7 = '1'
> par6 = ''
> par5 = '1'
> par4 = ''
> par3 = '0'
> par2 = 'periodic'
> par1 = '12'
> main = 'Seasonal Decomposition by Loess'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par1 <- as.numeric(par1) #seasonal period
> if (par2 != 'periodic') par2 <- as.numeric(par2) #s.window
> par3 <- as.numeric(par3) #s.degree
> if (par4 == '') par4 <- NULL else par4 <- as.numeric(par4)#t.window
> par5 <- as.numeric(par5)#t.degree
> if (par6 != '') par6 <- as.numeric(par6)#l.window
> par7 <- as.numeric(par7)#l.degree
> if (par8 == 'FALSE') par8 <- FALSE else par9 <- TRUE #robust
> nx <- length(x)
> x <- ts(x,frequency=par1)
> if (par6 != '') {
+ m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.window=par6, l.degree=par7, robust=par8)
+ } else {
+ m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.degree=par7, robust=par8)
+ }
> m$time.series
         seasonal    trend    remainder
Jan 1 -0.02917189 7.837011  0.292160573
Feb 1 -0.22399717 7.798783  0.125214394
Mar 1 -0.31882267 7.760554  0.058268438
Apr 1 -0.10280326 7.728669 -0.025865798
May 1  0.23321599 7.696784 -0.129999877
Jun 1  0.34800698 7.670051 -0.218057736
Jul 1  0.26279799 7.643318 -0.106115608
Aug 1  0.12540298 7.620719 -0.246122083
Sep 1 -0.09199220 7.598121 -0.006128389
Oct 1 -0.29688641 7.607527 -0.210640477
Nov 1  0.07821939 7.616933 -0.195152566
Dec 1  0.01603077 7.657075 -0.173105348
Jan 2 -0.02917189 7.697216 -0.068044084
Feb 2 -0.22399717 7.739976  0.184021575
Mar 2 -0.31882267 7.782735  0.236087457
Apr 2 -0.10280326 7.791123  0.211679803
May 2  0.23321599 7.799512  0.067272305
Jun 2  0.34800698 7.747540  0.104452895
Jul 2  0.26279799 7.695569  0.241633472
Aug 2  0.12540298 7.612913  0.461683561
Sep 2 -0.09199220 7.530258  0.461733818
Oct 2 -0.29688641 7.444826  0.152059971
Nov 2  0.07821939 7.359394 -0.537613876
Dec 2  0.01603077 7.266804 -0.682834594
Jan 3 -0.02917189 7.174213 -0.445041265
Feb 3 -0.22399717 7.089602  0.034394792
Mar 3 -0.31882267 7.004992  0.313831071
Apr 3 -0.10280326 6.955708  0.247094790
May 3  0.23321599 6.906425  0.060358666
Jun 3  0.34800698 6.875671 -0.123678103
Jul 3  0.26279799 6.844917 -0.207714884
Aug 3  0.12540298 6.798875  0.075722336
Sep 3 -0.09199220 6.752832  0.139159725
Oct 3 -0.29688641 6.707239 -0.010352575
Nov 3  0.07821939 6.661645 -0.039864876
Dec 3  0.01603077 6.621697 -0.037727827
Jan 4 -0.02917189 6.581749 -0.152576731
Feb 4 -0.22399717 6.530723 -0.006725793
Mar 4 -0.31882267 6.479697  0.039125366
Apr 4 -0.10280326 6.453413  0.149390525
May 4  0.23321599 6.427128  0.139655841
Jun 4  0.34800698 6.443998  0.007995201
Jul 4  0.26279799 6.460867 -0.323665452
Aug 4  0.12540298 6.473926 -0.499328899
Sep 4 -0.09199220 6.486984 -0.594992177
Oct 4 -0.29688641 6.499235 -0.102348947
Nov 4  0.07821939 6.511486  0.610294282
Dec 4  0.01603077 6.575455  0.708514212
Jan 5 -0.02917189 6.639424  0.289748188
Feb 5 -0.22399717 6.744560 -0.420563194
Mar 5 -0.31882267 6.849697 -0.730874355
Apr 5 -0.10280326 6.970083 -0.667279547
May 5  0.23321599 7.090469 -0.223684583
Jun 5  0.34800698 7.212342  0.139651385
Jul 5  0.26279799 7.334215  0.302987339
Aug 5  0.12540298 7.463332  0.111265052
Sep 5 -0.09199220 7.592449 -0.100457064
Oct 5 -0.29688641 7.728202  0.068684559
Nov 5  0.07821939 7.863954  0.057826181
Dec 5  0.01603077 8.003657  0.080311956
> m$win
  s   t   l 
601  19  13 
> m$deg
s t l 
0 1 1 
> m$jump
 s  t  l 
61  2  2 
> m$inner
[1] 2
> m$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1hphc1259775859.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2npf11259775859.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$time.series[,'trend']),na.action=na.pass,lag.max = mylagmax,main='Trend')
> acf(as.numeric(m$time.series[,'seasonal']),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
> acf(as.numeric(m$time.series[,'remainder']),na.action=na.pass,lag.max = mylagmax,main='Remainder')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/30mzq1259775859.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$time.series[!is.na(m$time.series[,'trend']),'trend']),main='Trend')
> spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'seasonal']),'seasonal']),main='Seasonal')
> spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'remainder']),'remainder']),main='Remainder')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4cpz01259775859.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$time.series[!is.na(m$time.series[,'trend']),'trend']),main='Trend')
> cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'seasonal']),'seasonal']),main='Seasonal')
> cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'remainder']),'remainder']),main='Remainder')
> 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,'Seasonal Decomposition by Loess - Parameters',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Component',header=TRUE)
> a<-table.element(a,'Window',header=TRUE)
> a<-table.element(a,'Degree',header=TRUE)
> a<-table.element(a,'Jump',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,m$win['s'])
> a<-table.element(a,m$deg['s'])
> a<-table.element(a,m$jump['s'])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,m$win['t'])
> a<-table.element(a,m$deg['t'])
> a<-table.element(a,m$jump['t'])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Low-pass',header=TRUE)
> a<-table.element(a,m$win['l'])
> a<-table.element(a,m$deg['l'])
> a<-table.element(a,m$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5ovyz1259775860.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$time.series[i,'remainder'])
+ a<-table.element(a,m$time.series[i,'seasonal'])
+ a<-table.element(a,m$time.series[i,'trend'])
+ a<-table.element(a,m$time.series[i,'remainder'])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/6zyv31259775860.tab") 
> system("convert tmp/1hphc1259775859.ps tmp/1hphc1259775859.png")
> system("convert tmp/2npf11259775859.ps tmp/2npf11259775859.png")
> system("convert tmp/30mzq1259775859.ps tmp/30mzq1259775859.png")
> system("convert tmp/4cpz01259775859.ps tmp/4cpz01259775859.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.969   0.605   1.131