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(130,136.7,138.1,139.5,140.4,144.6,151.4,147.9,141.5,143.8,143.6,150.5,150.1,154.9,162.1,176.7,186.6,194.8,196.3,228.8,267.2,237.2,254.7,258.2,257.9,269.6,266.9,269.6,253.9,258.6,274.2,301.5,304.5,285.1,287.7,265.5,264.1,276.1,258.9,239.1,250.1,276.8,297.6,295.4,283,275.8,279.7,254.6,234.6,176.9,148.1,122.7,124.9,121.6,128.4,144.5,151.8,167.1,173.8,203.7,199.8)
> 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   6.026860 144.5587 -20.5855726
Feb 1  -6.271840 144.5317  -1.5598603
Mar 1 -14.148020 144.5047   7.7433321
Apr 1 -20.194201 144.6222  15.0719734
May 1 -19.280389 144.7398  14.9406229
Jun 1 -12.271861 145.2197  11.6522029
Jul 1  -3.063336 145.6996   8.7637849
Aug 1  10.915721 146.4292  -9.4448767
Sep 1  16.834774 147.1588 -22.4935347
Oct 1   9.662738 148.7088 -14.5714920
Nov 1  16.390717 150.2587 -23.0494648
Dec 1  15.398866 155.0462 -19.9451106
Jan 2   6.026860 159.8337 -15.7606007
Feb 2  -6.271840 167.3026  -6.1307640
Mar 2 -14.148020 174.7715   1.4765528
Apr 2 -20.194201 183.8333  13.0608959
May 2 -19.280389 192.8951  12.9852471
Jun 2 -12.271861 201.9297   5.1421497
Jul 2  -3.063336 210.9643 -11.6009457
Aug 2  10.915721 219.3947  -1.5103804
Sep 2  16.834774 227.8250  22.5401887
Oct 2   9.662738 235.3311  -7.7938184
Nov 2  16.390717 242.8371  -4.5278411
Dec 2  15.398866 249.1784  -6.3773027
Jan 3   6.026860 255.5197  -3.6466086
Feb 3  -6.271840 260.7536  15.1182362
Mar 3 -14.148020 265.9875  15.0605611
Apr 3 -20.194201 269.5154  20.2787887
May 3 -19.280389 273.0434   0.1370244
Jun 3 -12.271861 274.3686  -3.4967878
Jul 3  -3.063336 275.6939   1.5694019
Aug 3  10.915721 275.2589  15.3254286
Sep 3  16.834774 274.8238  12.8414590
Oct 3   9.662738 273.9425   1.4947241
Nov 3  16.390717 273.0613  -1.7520264
Dec 3  15.398866 273.0218 -22.9206822
Jan 4   6.026860 272.9823 -14.9091822
Feb 4  -6.271840 273.1594   9.2124867
Mar 4 -14.148020 273.3364  -0.2883644
Apr 4 -20.194201 273.2314 -13.9372105
May 4 -19.280389 273.1264  -3.7460485
Jun 4 -12.271861 271.3844  17.6875112
Jul 4  -3.063336 269.6423  31.0210729
Aug 4  10.915721 263.8163  20.6679536
Sep 4  16.834774 257.9904   8.1748379
Oct 4   9.662738 247.7208  18.4164798
Nov 4  16.390717 237.4512  25.8581061
Dec 4  15.398866 224.3239  14.8772509
Jan 5   6.026860 211.1966  17.3765515
Feb 5  -6.271840 198.0243 -14.8524701
Mar 5 -14.148020 184.8520 -22.6040116
Apr 5 -20.194201 176.9024 -34.0082050
May 5 -19.280389 168.9528 -24.7723904
Jun 5 -12.271861 165.9182 -32.0463240
Jul 5  -3.063336 162.8836 -31.4202556
Aug 5  10.915721 160.4044 -26.8201046
Sep 5  16.834774 157.9252 -22.9599499
Oct 5   9.662738 156.2972   1.1400193
Nov 5  16.390717 154.6693   2.7399730
Dec 5  15.398866 154.1189  34.1822282
Jan 6   6.026860 153.5685  40.2046391
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/10swe1259928509.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2jwe51259928509.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3sj5r1259928509.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/4r7ur1259928509.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5e1n81259928509.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/62yib1259928509.tab") 
> system("convert tmp/10swe1259928509.ps tmp/10swe1259928509.png")
> system("convert tmp/2jwe51259928509.ps tmp/2jwe51259928509.png")
> system("convert tmp/3sj5r1259928509.ps tmp/3sj5r1259928509.png")
> system("convert tmp/4r7ur1259928509.ps tmp/4r7ur1259928509.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.943   0.592   2.290