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(115.6,111.9,107,107.1,100.6,99.2,108.4,103,99.8,115,90.8,95.9,114.4,108.2,112.6,109.1,105,105,118.5,103.7,112.5,116.6,96.6,101.9,116.5,119.3,115.4,108.5,111.5,108.8,121.8,109.6,112.2,119.6,104.1,105.3,115,124.1,116.8,107.5,115.6,116.2,116.3,119,111.9,118.6,106.9,103.2,118.6,118.7,102.8,100.6,94.9,94.5,102.9,95.3,92.5,102.7,91.5,89.5)
> 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  7.150981 105.79790  2.65111893
Feb 1  7.720138 105.58692 -1.40705448
Mar 1  2.349297 105.37593 -0.72522987
Apr 1 -1.952780 105.20312  3.84965501
May 1 -2.934849 105.03032 -1.49546752
Jun 1 -3.628192 104.89497 -2.06678178
Jul 1  5.298466 104.75963 -1.65809676
Aug 1 -1.946571 104.65659  0.28997891
Sep 1 -2.071605 104.55355 -2.68194927
Oct 1  6.969894 104.69779  3.33231376
Nov 1 -9.228603 104.84203 -4.81342757
Dec 1 -7.726174 105.34494 -1.71876547
Jan 2  7.150981 105.84785  1.40117035
Feb 2  7.720138 106.44385 -5.96398793
Mar 2  2.349297 107.03985  3.21085180
Apr 2 -1.952780 107.58890  3.46387946
May 2 -2.934849 108.13795 -0.20310030
Jun 2 -3.628192 108.58175  0.04643660
Jul 2  5.298466 109.02556  4.17597277
Aug 2 -1.946571 109.35219 -3.70562346
Sep 2 -2.071605 109.67883  4.89277646
Oct 2  6.969894 109.94254 -0.31243255
Nov 2 -9.228603 110.20625 -4.37764592
Dec 2 -7.726174 110.52305 -0.89687392
Jan 3  7.150981 110.83985 -1.49082819
Feb 3  7.720138 111.18835  0.39150849
Mar 3  2.349297 111.53686  1.51384319
Apr 3 -1.952780 111.89821 -1.44543502
May 3 -2.934849 112.25957  2.17527934
Jun 3 -3.628192 112.52301 -0.09481992
Jul 3  5.298466 112.78645  3.71508010
Aug 3 -1.946571 112.90101 -1.35444326
Sep 3 -2.071605 113.01558  1.25602954
Oct 3  6.969894 113.12218 -0.49207214
Nov 3 -9.228603 113.22878  0.09982183
Dec 3 -7.726174 113.42021 -0.39403973
Jan 4  7.150981 113.61165 -5.76262756
Feb 4  7.720138 113.85097  2.52889062
Mar 4  2.349297 114.09030  0.36040682
Apr 4 -1.952780 114.27892 -4.82614505
May 4 -2.934849 114.46755  4.06729566
Jun 4 -3.628192 114.49637  5.33182513
Jul 4  5.298466 114.52518 -3.52364614
Aug 4 -1.946571 114.11137  6.83519883
Sep 4 -2.071605 113.69757  0.27403997
Oct 4  6.969894 112.62248 -0.99237193
Nov 4 -9.228603 111.54739  4.58121183
Dec 4 -7.726174 109.98204  0.94412977
Jan 5  7.150981 108.41670  3.03232144
Feb 5  7.720138 106.71571  4.26415459
Mar 5  2.349297 105.01472 -4.56401426
Apr 5 -1.952780 103.68156 -1.12877642
May 5 -2.934849 102.34839 -4.51354601
Jun 5 -3.628192 101.09685 -2.96865749
Jul 5  5.298466  99.84530 -2.24376971
Aug 5 -1.946571  98.62144 -1.37486423
Sep 5 -2.071605  97.39757 -2.82596259
Oct 5  6.969894  96.24113 -0.51102027
Nov 5 -9.228603  95.08468  5.64391770
Dec 5 -7.726174  93.99980  3.22637874
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1zz561259859891.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2w09m1259859891.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3yax01259859891.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/450q81259859891.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/56g8f1259859891.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6klvh1259859891.tab") 
> 
> system("convert tmp/1zz561259859891.ps tmp/1zz561259859891.png")
> system("convert tmp/2w09m1259859891.ps tmp/2w09m1259859891.png")
> system("convert tmp/3yax01259859891.ps tmp/3yax01259859891.png")
> system("convert tmp/450q81259859891.ps tmp/450q81259859891.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.953   0.611   1.597