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(8.9,8.8,8.3,7.5,7.2,7.4,8.8,9.3,9.3,8.7,8.2,8.3,8.5,8.6,8.5,8.2,8.1,7.9,8.6,8.7,8.7,8.5,8.4,8.5,8.7,8.7,8.6,8.5,8.3,8,8.2,8.1,8.1,8,7.9,7.9,8,8,7.9,8,7.7,7.2,7.5,7.3,7,7,7,7.2,7.3,7.1,6.8,6.4,6.1,6.5,7.7,7.9,7.5,6.9,6.6,6.9)
> 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  0.27769949 8.230751  0.391549743
Feb 1  0.25415122 8.256131  0.289718213
Mar 1  0.05060302 8.281510 -0.032113381
Apr 1 -0.23058857 8.304857 -0.574268346
May 1 -0.45178037 8.328203 -0.676423102
Jun 1 -0.51507809 8.344808 -0.429729718
Jul 1  0.26162402 8.361412  0.176963836
Aug 1  0.38037554 8.377745  0.541879658
Sep 1  0.25912736 8.394077  0.646795192
Oct 1 -0.02448564 8.431714  0.292771389
Nov 1 -0.20809872 8.469351 -0.061252322
Dec 1 -0.05354931 8.479072 -0.125522942
Jan 2  0.27769949 8.488793 -0.266492960
Feb 2  0.25415122 8.464242 -0.118393634
Mar 2  0.05060302 8.439691  0.009705628
Apr 2 -0.23058857 8.427989  0.002599655
May 2 -0.45178037 8.416286  0.135493891
Jun 2 -0.51507809 8.427352 -0.012273554
Jul 2  0.26162402 8.438417 -0.100040828
Aug 2  0.38037554 8.451259 -0.131634441
Sep 2  0.25912736 8.464101 -0.023228341
Oct 2 -0.02448564 8.478366  0.046119786
Nov 2 -0.20809872 8.492631  0.115468006
Dec 2 -0.05354931 8.494278  0.059271642
Jan 3  0.27769949 8.495925 -0.073624120
Feb 3  0.25415122 8.465238 -0.019389352
Mar 3  0.05060302 8.434552  0.114845351
Apr 3 -0.23058857 8.383642  0.346946412
May 3 -0.45178037 8.332733  0.419047681
Jun 3 -0.51507809 8.274523  0.240555101
Jul 3  0.26162402 8.216313 -0.277937310
Aug 3  0.38037554 8.153036 -0.433411736
Sep 3  0.25912736 8.089759 -0.248886450
Oct 3 -0.02448564 8.036466 -0.011980471
Nov 3 -0.20809872 7.983173  0.124925599
Dec 3 -0.05354931 7.938696  0.014853327
Jan 4  0.27769949 7.894219 -0.171918345
Feb 4  0.25415122 7.832293 -0.086444479
Mar 4  0.05060302 7.770368  0.079029322
Apr 4 -0.23058857 7.688359  0.542229172
May 4 -0.45178037 7.606351  0.545429231
Jun 4 -0.51507809 7.525295  0.189782943
Jul 4  0.26162402 7.444239 -0.205863176
Aug 4  0.38037554 7.354494 -0.434869327
Sep 4  0.25912736 7.264748 -0.523875765
Oct 4 -0.02448564 7.165876 -0.141390374
Nov 4 -0.20809872 7.067004  0.141095109
Dec 4 -0.05354931 7.016889  0.236660620
Jan 5  0.27769949 6.966774  0.055526733
Feb 5  0.25415122 6.975116 -0.129267072
Mar 5  0.05060302 6.983458 -0.234060943
Apr 5 -0.23058857 6.993832 -0.363243782
May 5 -0.45178037 7.004207 -0.452426413
Jun 5 -0.51507809 7.007712  0.007365977
Jul 5  0.26162402 7.011217  0.427158536
Aug 5  0.38037554 7.019345  0.500279652
Sep 5  0.25912736 7.027472  0.213400480
Oct 5 -0.02448564 7.038310 -0.113824128
Nov 5 -0.20809872 7.049147 -0.241048644
Dec 5 -0.05354931 7.059670 -0.106120320
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/17s6z1259694131.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/21x041259694131.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3jwmd1259694131.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/46sd91259694131.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/55eyo1259694132.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6j2151259694132.tab") 
> 
> system("convert tmp/17s6z1259694131.ps tmp/17s6z1259694131.png")
> system("convert tmp/21x041259694131.ps tmp/21x041259694131.png")
> system("convert tmp/3jwmd1259694131.ps tmp/3jwmd1259694131.png")
> system("convert tmp/46sd91259694131.ps tmp/46sd91259694131.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.984   0.613   1.172