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(162,161,149,139,135,130,127,122,117,112,113,149,157,157,147,137,132,125,123,117,114,111,112,144,150,149,134,123,116,117,111,105,102,95,93,124,130,124,115,106,105,105,101,95,93,84,87,116,120,117,109,105,107,109,109,108,107,99,103,131,137)
> 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  21.061784 139.0471  1.89107791
Feb 1  20.409456 138.2751  2.31539594
Mar 1  10.009825 137.5032  1.48701653
Apr 1   1.480135 136.8253  0.69454041
May 1  -1.249556 136.1475  0.10206467
Jun 1  -2.756109 135.5524 -2.79627137
Jul 1  -5.462663 134.9573 -2.49460578
Aug 1  -9.935553 134.4011 -2.46552206
Sep 1 -12.408442 133.8449 -4.43643997
Oct 1 -18.567697 133.5588 -2.99115095
Nov 1 -16.926954 133.2728 -3.34586069
Dec 1  14.345780 133.1464  1.50777236
Jan 2  21.061784 133.0201  2.91813530
Feb 2  20.409456 132.7703  3.82021382
Mar 2  10.009825 132.5206  4.46959491
Apr 2   1.480135 132.1585  3.36140922
May 2  -1.249556 131.7963  1.45322391
Jun 2  -2.756109 131.2559 -3.49982015
Jul 2  -5.462663 130.7155 -2.25286260
Aug 2  -9.935553 129.9722 -3.03661391
Sep 2 -12.408442 129.2288 -2.82036684
Oct 2 -18.567697 128.3490  1.21868735
Nov 2 -16.926954 127.4692  1.45774279
Dec 2  14.345780 126.5386  3.11564229
Jan 3  21.061784 125.6079  3.33027168
Feb 3  20.409456 124.5043  4.08622729
Mar 3  10.009825 123.4007  0.58948547
Apr 3   1.480135 121.9808 -0.46095672
May 3  -1.249556 120.5610 -3.31139853
Jun 3  -2.756109 118.8978  0.85826234
Jul 3  -5.462663 117.2347 -0.77207517
Aug 3  -9.935553 115.5637 -0.62813255
Sep 3 -12.408442 113.8926  0.51580845
Oct 3 -18.567697 112.4967  1.07100780
Nov 3 -16.926954 111.1007 -1.17379162
Dec 3  14.345780 110.0416 -0.38735959
Jan 4  21.061784 108.9824 -0.04419768
Feb 4  20.409456 108.1549 -4.56436782
Mar 4  10.009825 107.3274 -2.33723540
Apr 4   1.480135 106.6618 -2.14193689
May 4  -1.249556 105.9962  0.25336199
Jun 4  -2.756109 105.4162  2.33991387
Jul 4  -5.462663 104.8362  1.62646736
Aug 4  -9.935553 104.2809  0.65470052
Sep 4 -12.408442 103.7255  1.68293206
Oct 4 -18.567697 103.4102 -0.84254394
Nov 4 -16.926954 103.0950  0.83198131
Dec 4  14.345780 103.3282 -1.67398594
Jan 5  21.061784 103.5614 -4.62322330
Feb 5  20.409456 104.4852 -7.89467476
Mar 5  10.009825 105.4090 -6.41882365
Apr 5   1.480135 106.9362 -3.41633689
May 5  -1.249556 108.4634 -0.21384976
Jun 5  -2.756109 110.0211  1.73497773
Jul 5  -5.462663 111.5789  2.88380684
Aug 5  -9.935553 113.1910  4.74455125
Sep 5 -12.408442 114.8031  4.60529405
Oct 5 -18.567697 116.4513  1.11637693
Nov 5 -16.926954 118.0995  1.82746105
Dec 5  14.345780 119.7183 -3.06407619
Jan 6  21.061784 121.3371 -5.39888354
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1zlmh1259853087.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2bb0j1259853087.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/394191259853087.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/401ki1259853087.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/58hs71259853087.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6m6341259853087.tab") 
> system("convert tmp/1zlmh1259853087.ps tmp/1zlmh1259853087.png")
> system("convert tmp/2bb0j1259853087.ps tmp/2bb0j1259853087.png")
> system("convert tmp/394191259853087.ps tmp/394191259853087.png")
> system("convert tmp/401ki1259853087.ps tmp/401ki1259853087.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.947   0.585   1.444