R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(130,127,122,117,112,113,149,157,157,147,137,132,125,123,117,114,111,112,144,150,149,134,123,116,117,111,105,102,95,93,124,130,124,115,106,105,105,101,95,93,84,87,116,120,117,109,105,107,109,109,108,107,99,103,131,137,135,124,118,121,121)
> 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  -1.7185958 131.2630  0.45558314
Feb 1  -4.7528213 131.5449  0.20793198
Mar 1  -9.3080748 131.8268 -0.51869125
Apr 1 -11.8255274 132.0342 -3.20864059
May 1 -17.9429802 132.2416 -2.29858981
Jun 1 -16.3666045 132.3443 -2.97766742
Jul 1  15.0097717 132.4470  1.54325435
Aug 1  21.0642683 132.4852  3.45055946
Sep 1  18.7187641 132.5234  5.75786532
Oct 1   8.1673414 132.3973  6.43538146
Nov 1   0.2159184 132.2712  4.51289785
Dec 1  -1.2614653 131.7886  1.47281799
Jan 2  -1.7185958 131.3061 -4.58751506
Feb 2  -4.7528213 130.6114 -2.85856892
Mar 2  -9.3080748 129.9167 -3.60859486
Apr 2 -11.8255274 129.0966 -3.27112218
May 2 -17.9429802 128.2766  0.66635062
Jun 2 -16.3666045 127.4273  0.93928102
Jul 2  15.0097717 126.5780  2.41221079
Aug 2  21.0642683 125.6203  3.31548160
Sep 2  18.7187641 124.6625  5.61875316
Oct 2   8.1673414 123.4032  2.42944323
Nov 2   0.2159184 122.1439  0.64013354
Dec 2  -1.2614653 120.5376 -3.27610125
Jan 3  -1.7185958 118.9312 -0.21258922
Feb 3  -4.7528213 117.1799 -1.42708844
Mar 3  -9.3080748 115.4286 -1.12055973
Apr 3 -11.8255274 113.8710 -0.04549738
May 3 -17.9429802 112.3134  0.62956510
Jun 3 -16.3666045 111.1526 -1.78598143
Jul 3  15.0097717 109.9918 -1.00152858
Aug 3  21.0642683 109.0949 -0.15911892
Sep 3  18.7187641 108.1979 -2.91670851
Oct 3   8.1673414 107.4528 -0.62013798
Nov 3   0.2159184 106.7076 -0.92356720
Dec 3  -1.2614653 106.0588  0.20262767
Jan 4  -1.7185958 105.4100  1.30856935
Feb 4  -4.7528213 104.7837  0.96914780
Mar 4  -9.3080748 104.1573  0.15075417
Apr 4 -11.8255274 103.6912  1.13429022
May 4 -17.9429802 103.2252 -1.28217361
Jun 4 -16.3666045 103.2008  0.16583751
Jul 4  15.0097717 103.1764 -2.18615200
Aug 4  21.0642683 103.7967 -4.86100375
Sep 4  18.7187641 104.4171 -6.13585476
Oct 4   8.1673414 105.6218 -4.78917267
Nov 4   0.2159184 106.8266 -2.04249033
Dec 4  -1.2614653 108.3485 -0.08701144
Jan 5  -1.7185958 109.8704  0.84821426
Feb 5  -4.7528213 111.3805  2.37236847
Mar 5  -9.3080748 112.8905  4.41755059
Apr 5 -11.8255274 113.9404  4.88512847
May 5 -17.9429802 114.9903  1.95270646
Jun 5 -16.3666045 115.8497  3.51694998
Jul 5  15.0097717 116.7090 -0.71880712
Aug 5  21.0642683 117.5154 -1.57970211
Sep 5  18.7187641 118.3218 -2.04059635
Oct 5   8.1673414 119.0506 -3.21789592
Nov 5   0.2159184 119.7793 -1.99519525
Dec 5  -1.2614653 120.4641  1.79740917
Jan 6  -1.7185958 121.1488  1.56976040
> 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$outer
[1] 0
> postscript(file="/var/www/rcomp/tmp/1u1kf1292442612.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/rcomp/tmp/2u1kf1292442612.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/rcomp/tmp/3u1kf1292442612.ps",horizontal=F,onefile=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/rcomp/tmp/44tk01292442612.ps",horizontal=F,onefile=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/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/5ikh91292442612.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/rcomp/tmp/64lyf1292442612.tab") 
> try(system("convert tmp/1u1kf1292442612.ps tmp/1u1kf1292442612.png",intern=TRUE))
character(0)
> try(system("convert tmp/2u1kf1292442612.ps tmp/2u1kf1292442612.png",intern=TRUE))
character(0)
> try(system("convert tmp/3u1kf1292442612.ps tmp/3u1kf1292442612.png",intern=TRUE))
character(0)
> try(system("convert tmp/44tk01292442612.ps tmp/44tk01292442612.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.160   0.690   1.844