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(95.1,97.0,112.7,102.9,97.4,111.4,87.4,96.8,114.1,110.3,103.9,101.6,94.6,95.9,104.7,102.8,98.1,113.9,80.9,95.7,113.2,105.9,108.8,102.3,99.0,100.7,115.5,100.7,109.9,114.6,85.4,100.5,114.8,116.5,112.9,102.0,106.0,105.3,118.8,106.1,109.3,117.2,92.5,104.2,112.5,122.4,113.3,100.0,110.7,112.8,109.8,117.3,109.1,115.9,96.0,99.8,116.8,115.7,99.4,94.3)
> 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  -4.2436734 101.5558 -2.2121469
Feb 1  -3.0761986 101.6798 -1.6036337
Mar 1   6.7912801 101.8038  4.1048757
Apr 1   0.4970323 101.8979  0.5051168
May 1  -0.6572046 101.9919 -3.9346531
Jun 1   9.1994119 102.0483  0.1522916
Jul 1 -16.9439742 102.1047  2.2392388
Aug 1  -6.0159324 102.1227  0.6932760
Sep 1   8.8321036 102.1406  3.1273191
Oct 1   8.7189298 102.0324 -0.4513404
Nov 1   2.2257581 101.9242 -0.2500020
Dec 1  -5.3275376 101.7555  5.1720182
Jan 2  -4.2436734 101.5868 -2.7431215
Feb 2  -3.0761986 101.3887 -2.4124962
Mar 2   6.7912801 101.1906 -3.2818748
Apr 2   0.4970323 101.1465  1.1564600
May 2  -0.6572046 101.1024 -2.3452162
Jun 2   9.1994119 101.3455  3.3550404
Jul 2 -16.9439742 101.5887 -3.7447003
Aug 2  -6.0159324 102.0407 -0.3247398
Sep 2   8.8321036 102.4927  1.8752266
Oct 2   8.7189298 102.9646 -5.7834893
Nov 2   2.2257581 103.4364  3.1377926
Dec 2  -5.3275376 103.8441  3.7834033
Jan 3  -4.2436734 104.2518 -1.0081458
Feb 3  -3.0761986 104.6111 -0.8348734
Mar 3   6.7912801 104.9703  3.7383950
Apr 3   0.4970323 105.3101 -5.1071239
May 3  -0.6572046 105.6499  4.9073462
Jun 3   9.1994119 105.9898 -0.5891658
Jul 3 -16.9439742 106.3296 -3.9856752
Aug 3  -6.0159324 106.7076 -0.1916749
Sep 3   8.8321036 107.0856 -1.1176689
Oct 3   8.7189298 107.4171  0.3639610
Nov 3   2.2257581 107.7487  2.9255887
Dec 3  -5.3275376 108.0474 -0.7199037
Jan 4  -4.2436734 108.3462  1.8974439
Feb 4  -3.0761986 108.5600 -0.1838333
Mar 4   6.7912801 108.7738  3.2348855
Apr 4   0.4970323 108.8731 -3.2701478
May 4  -0.6572046 108.9724  0.9848080
Jun 4   9.1994119 109.0895 -1.0889131
Jul 4 -16.9439742 109.2066  0.2373684
Aug 4  -6.0159324 109.3962  0.8197126
Sep 4   8.8321036 109.5858 -5.9179374
Oct 4   8.7189298 109.7965  3.8845341
Nov 4   2.2257581 110.0072  1.0670036
Dec 4  -5.3275376 110.1426 -4.8150542
Jan 5  -4.2436734 110.2779  4.6657282
Feb 5  -3.0761986 110.2420  5.6342313
Mar 5   6.7912801 110.2060 -7.1972696
Apr 5   0.4970323 109.4916  7.3113693
May 5  -0.6572046 108.7772  0.9799973
Jun 5   9.1994119 107.9376 -1.2369779
Jul 5 -16.9439742 107.0979  5.8460495
Aug 5  -6.0159324 106.2163 -0.4003798
Sep 5   8.8321036 105.3347  2.6331968
Oct 5   8.7189298 104.3921  2.5889620
Nov 5   2.2257581 103.4495 -6.2752749
Dec 5  -5.3275376 102.4452 -2.8176629
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1p0361259938186.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/21nyf1259938186.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/36ois1259938186.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/4zmif1259938186.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5hdnz1259938186.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/67wcj1259938186.tab") 
> system("convert tmp/1p0361259938186.ps tmp/1p0361259938186.png")
> system("convert tmp/21nyf1259938186.ps tmp/21nyf1259938186.png")
> system("convert tmp/36ois1259938186.ps tmp/36ois1259938186.png")
> system("convert tmp/4zmif1259938186.ps tmp/4zmif1259938186.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.975   0.623   2.788