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(96.2,96.8,109.9,88,91.1,106.4,68.6,100.1,108,106,108.6,91.5,99.2,98,96.6,102.8,96.9,110,70.5,101.9,109.6,107.8,113,93.8,108,102.8,116.3,89.2,106.7,112.1,74.2,108.8,111.5,118.8,118.9,97.6,116.4,107.9,121.2,97.9,113.4,117.6,79.6,115.9,115.7,129.1,123.3,96.7,121.2,118.2,102.1,125.4,116.7,121.3,85.3,114.2,124.4,131,118.3,99.6)
> 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   3.8137034  96.02648  -3.6401802
Feb 1   0.0225964  96.25981   0.5175887
Mar 1   4.1714973  96.49315   9.2353496
Apr 1  -4.6108956  96.72709  -4.1161923
May 1  -0.5332715  96.96102  -5.3277511
Jun 1   7.7903802  97.17829   1.4313272
Jul 1 -30.2459673  97.39556   1.4504048
Aug 1   2.0623729  97.58115   0.4564789
Sep 1   7.4907078  97.76673   2.7425583
Oct 1  11.9071980  97.96819  -3.8753893
Nov 1   9.5036885  98.16965   0.9266627
Dec 1 -11.3720131  98.48073   4.3912860
Jan 2   3.8137034  98.79181  -3.4055087
Feb 2   0.0225964  99.00641  -1.0290111
Mar 2   4.1714973  99.22102  -6.7925215
Apr 2  -4.6108956  99.45566   7.9552342
May 2  -0.5332715  99.69030  -2.2570271
Jun 2   7.7903802 100.08404   2.1255810
Jul 2 -30.2459673 100.47778   0.2681884
Aug 2   2.0623729 101.00774  -1.1701175
Sep 2   7.4907078 101.53771   0.5715818
Oct 2  11.9071980 101.91027  -6.0174721
Nov 2   9.5036885 102.28284   1.2134737
Dec 2 -11.3720131 102.61292   2.5590886
Jan 3   3.8137034 102.94301   1.2432854
Feb 3   0.0225964 103.35194  -0.5745393
Mar 3   4.1714973 103.76087   8.3676281
Apr 3  -4.6108956 104.21261 -10.4017127
May 3  -0.5332715 104.66434   2.5689296
Jun 3   7.7903802 105.13094  -0.8213246
Jul 3 -30.2459673 105.59755  -1.1515796
Aug 3   2.0623729 106.17201   0.5656213
Sep 3   7.4907078 106.74646  -2.7371726
Oct 3  11.9071980 107.35672  -0.4639159
Nov 3   9.5036885 107.96697   1.4293406
Dec 3 -11.3720131 108.51744   0.4545756
Jan 4   3.8137034 109.06790   3.5183926
Feb 4   0.0225964 109.55034  -1.6729386
Mar 4   4.1714973 110.03278   6.9957223
Apr 4  -4.6108956 110.44748  -7.9365867
May 4  -0.5332715 110.86218   3.0710872
Jun 4   7.7903802 111.17050  -1.3608818
Jul 4 -30.2459673 111.47882  -1.6328516
Aug 4   2.0623729 111.74603   2.0916014
Sep 4   7.4907078 112.01323  -3.8039404
Oct 4  11.9071980 112.48561   4.7071909
Nov 4   9.5036885 112.95799   0.8383218
Dec 4 -11.3720131 113.43102  -5.3590089
Jan 5   3.8137034 113.90405   3.4822423
Feb 5   0.0225964 114.23831   3.9390947
Mar 5   4.1714973 114.57256 -16.6440607
Apr 5  -4.6108956 114.57537  15.4355222
May 5  -0.5332715 114.57818   2.6550881
Jun 5   7.7903802 114.50825  -0.9986265
Jul 5 -30.2459673 114.43831   1.1076582
Aug 5   2.0623729 114.34075  -2.2031245
Sep 5   7.4907078 114.24319   2.6660979
Oct 5  11.9071980 114.10884   4.9839645
Nov 5   9.5036885 113.97448  -5.1781693
Dec 5 -11.3720131 113.79995  -2.8279406
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/19d2u1259957654.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2wdbs1259957654.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/36p1l1259957654.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/4la1a1259957654.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5l1b81259957654.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/60na01259957654.tab") 
> 
> system("convert tmp/19d2u1259957654.ps tmp/19d2u1259957654.png")
> system("convert tmp/2wdbs1259957654.ps tmp/2wdbs1259957654.png")
> system("convert tmp/36p1l1259957654.ps tmp/36p1l1259957654.png")
> system("convert tmp/4la1a1259957654.ps tmp/4la1a1259957654.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.972   0.612   1.136