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(92.9,107.7,103.5,91.1,79.8,71.9,82.9,90.1,100.7,90.7,108.8,44.1,93.6,107.4,96.5,93.6,76.5,76.7,84,103.3,88.5,99,105.9,44.7,94,107.1,104.8,102.5,77.7,85.2,91.3,106.5,92.4,97.5,107,51.1,98.6,102.2,114.3,99.4,72.5,92.3,99.4,85.9,109.4,97.6,104.7,56.9,86.7,108.5,103.4,86.2,71,75.9,87.1,102,88.5,87.8,100.8,50.6,85.9)
> 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   1.963743 89.74723   1.18903050
Feb 1  15.822626 89.55265   2.32472647
Mar 1  13.767902 89.35807   0.37403028
Apr 1   3.867572 89.20545  -1.97302321
May 1 -15.152768 89.05283   5.89993294
Jun 1 -10.202873 88.91823  -6.81536070
Jul 1  -1.612985 88.78363  -4.27064702
Aug 1   7.100055 88.62343  -5.62348931
Sep 1   5.533095 88.46324   6.70366911
Oct 1   4.258424 88.43683  -1.99525743
Nov 1  15.283746 88.41043   5.10582344
Dec 1 -40.628534 88.56178  -3.83324841
Jan 2   1.963743 88.71313   2.92312299
Feb 2  15.822626 88.85118   2.72619010
Mar 2  13.767902 88.98923  -6.25713494
Apr 2   3.867572 89.01365   0.71877831
May 2 -15.152768 89.03807   2.61470118
Jun 2 -10.202873 89.11053  -2.20765367
Jul 2  -1.612985 89.18299  -3.57000120
Aug 2   7.100055 89.40494   6.79500834
Sep 2   5.533095 89.62689  -6.65998141
Oct 2   4.258424 90.07019   4.67138294
Nov 2  15.283746 90.51350   0.10275469
Dec 2 -40.628534 91.02499  -5.69645475
Jan 3   1.963743 91.53648   0.49977907
Feb 3  15.822626 91.95859  -0.68122086
Mar 3  13.767902 92.38071  -1.34861295
Apr 3   3.867572 92.64493   5.98749354
May 3 -15.152768 92.90916  -0.05639035
Jun 3 -10.202873 93.08051   2.32236732
Jul 3  -1.612985 93.25185  -0.33886769
Aug 3   7.100055 93.32484   6.07510615
Sep 3   5.533095 93.39782  -6.53091930
Oct 3   4.258424 93.39220  -0.15062609
Nov 3  15.283746 93.38658  -1.67032548
Dec 3 -40.628534 93.47752  -1.74898924
Jan 4   1.963743 93.56847   3.06779027
Feb 4  15.822626 93.71037  -7.33299449
Mar 4  13.767902 93.85227   6.67982860
Apr 4   3.867572 94.01165   1.52077725
May 4 -15.152768 94.17103  -6.51826447
Jun 4 -10.202873 94.11724   8.38563537
Jul 4  -1.612985 94.06344   6.94954254
Aug 4   7.100055 93.70477 -14.90482951
Sep 4   5.533095 93.34611  10.52079916
Oct 4   4.258424 92.63864   0.70293478
Nov 4  15.283746 91.93118  -2.51492220
Dec 4 -40.628534 91.19895   6.32958066
Jan 5   1.963743 90.46673  -5.73047322
Feb 5  15.822626 89.86324   2.81413531
Mar 5  13.767902 89.25975   0.37235169
Apr 5   3.867572 88.76746  -6.43503351
May 5 -15.152768 88.27518  -2.12240909
Jun 5 -10.202873 87.90475  -1.80187714
Jul 5  -1.612985 87.53432   1.17866212
Aug 5   7.100055 87.20488   7.69506451
Sep 5   5.533095 86.87544  -3.90853240
Oct 5   4.258424 86.57776  -3.03618348
Nov 5  15.283746 86.28008  -0.76382716
Dec 5 -40.628534 86.00706   5.22147897
Jan 6   1.963743 85.73403  -1.79777164
> m$win
  s   t   l 
611  19  13 
> m$deg
s t l 
0 1 1 
> m$jump
 s  t  l 
62  2  2 
> m$inner
[1] 2
> m$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1j1as1259948291.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2egzb1259948291.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3zupp1259948291.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/4wept1259948291.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/50kdj1259948291.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/62le31259948291.tab") 
> 
> system("convert tmp/1j1as1259948291.ps tmp/1j1as1259948291.png")
> system("convert tmp/2egzb1259948291.ps tmp/2egzb1259948291.png")
> system("convert tmp/3zupp1259948291.ps tmp/3zupp1259948291.png")
> system("convert tmp/4wept1259948291.ps tmp/4wept1259948291.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.972   0.619   2.179