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(108.8,128.4,121.1,119.5,128.7,108.7,105.5,119.8,111.3,110.6,120.1,97.5,107.7,127.3,117.2,119.8,116.2,111,112.4,130.6,109.1,118.8,123.9,101.6,112.8,128,129.6,125.8,119.5,115.7,113.6,129.7,112,116.8,127,112.1,114.2,121.1,131.6,125,120.4,117.7,117.5,120.6,127.5,112.3,124.5,115.2,104.7,130.9,129.2,113.5,125.6,107.6,107,121.6,110.7,106.3,118.6,104.6)
> 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  -8.214329 117.5710 -0.55669980
Feb 1   9.378478 117.1641  1.85737291
Mar 1   8.071292 116.7573 -3.72856174
Apr 1   3.105160 116.3671  0.02773231
May 1   4.519018 115.9769  8.20403764
Jun 1  -5.371615 115.6193 -1.54764165
Jul 1  -6.262256 115.2616 -3.49931363
Aug 1   7.077391 114.9150 -2.19235101
Sep 1  -3.182962 114.5683 -0.08538749
Oct 1  -4.208880 114.2718  0.53705267
Nov 1   5.785199 113.9753  0.33949547
Dec 1 -10.696492 114.0108 -5.81428420
Jan 2  -8.214329 114.0462  1.86808252
Feb 2   9.378478 114.4400  3.48153535
Mar 2   8.071292 114.8337 -5.70501917
Apr 2   3.105160 115.2863  1.40850604
May 2   4.519018 115.7389 -4.05795746
Jun 2  -5.371615 116.1601  0.21148778
Jul 2  -6.262256 116.5813  2.08094033
Aug 2   7.077391 117.0395  6.48315612
Sep 2  -3.182962 117.4976 -5.21462719
Oct 2  -4.208880 117.9429  5.06596959
Nov 2   5.785199 118.3882 -0.27343099
Dec 2 -10.696492 118.6494 -6.35289275
Jan 3  -8.214329 118.9105  2.10379188
Feb 3   9.378478 119.0238 -0.40226846
Mar 3   8.071292 119.1370  2.39166385
Apr 3   3.105160 119.3277  3.36718780
May 3   4.519018 119.5183 -4.53727696
Jun 3  -5.371615 119.7153  1.35629722
Jul 3  -6.262256 119.9124 -0.05012128
Aug 3   7.077391 119.9514  2.67123006
Sep 3  -3.182962 119.9904 -4.80741770
Oct 3  -4.208880 119.9809  1.02799535
Nov 3   5.785199 119.9714  1.24341105
Dec 3 -10.696492 120.0434  2.75307596
Jan 4  -8.214329 120.1154  2.29888727
Feb 4   9.378478 120.2165 -8.49498218
Mar 4   8.071292 120.3176  3.21114102
Apr 4   3.105160 120.3958  1.49900861
May 4   4.519018 120.4741 -4.59311251
Jun 4  -5.371615 120.4636  2.60804111
Jul 4  -6.262256 120.4531  3.30920204
Aug 4   7.077391 120.4022 -6.87954341
Sep 4  -3.182962 120.3513 10.33171204
Oct 4  -4.208880 120.0919 -3.58303106
Nov 4   5.785199 119.8326 -1.11777152
Dec 4 -10.696492 119.3421  6.55437553
Jan 5  -8.214329 118.8517 -5.93733103
Feb 5   9.378478 118.1871  3.33441750
Mar 5   8.071292 117.5225  3.60615867
Apr 5   3.105160 116.8579 -6.46301922
May 5   4.519018 116.1932  4.88781418
Jun 5  -5.371615 115.5902 -2.61857481
Jul 5  -6.262256 114.9872 -1.72495650
Aug 5   7.077391 114.3863  0.13626509
Sep 5  -3.182962 113.7855  0.09748758
Oct 5  -4.208880 113.1919 -2.68298578
Nov 5   5.785199 112.5983  0.21654351
Dec 5 -10.696492 112.0189  3.27758619
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1lahb1260522563.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2f57c1260522563.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3on251260522563.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/4nlck1260522563.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5492o1260522564.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6xhz51260522564.tab") 
> system("convert tmp/1lahb1260522563.ps tmp/1lahb1260522563.png")
> system("convert tmp/2f57c1260522563.ps tmp/2f57c1260522563.png")
> system("convert tmp/3on251260522563.ps tmp/3on251260522563.png")
> system("convert tmp/4nlck1260522563.ps tmp/4nlck1260522563.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.976   0.628   7.436