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(9.3,9.3,8.7,8.2,8.3,8.5,8.6,8.5,8.2,8.1,7.9,8.6,8.7,8.7,8.5,8.4,8.5,8.7,8.7,8.6,8.5,8.3,8,8.2,8.1,8.1,8,7.9,7.9,8,8,7.9,8,7.7,7.2,7.5,7.3,7,7,7,7.2,7.3,7.1,6.8,6.4,6.1,6.5,7.7,7.9,7.5,6.9,6.6,6.9,7.7,8,8,7.7,7.3,7.4,8.1,8.3)
> 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  0.31297669 8.806445  0.180578706
Feb 1  0.19406974 8.753188  0.352742704
Mar 1 -0.08575170 8.699931  0.085821196
Apr 1 -0.27032512 8.652639 -0.182314322
May 1 -0.11489877 8.605348 -0.190449616
Jun 1  0.17552457 8.561811 -0.237335664
Jul 1  0.22594798 8.518274 -0.144221774
Aug 1  0.11983726 8.477152 -0.096989449
Sep 1 -0.06627329 8.436031 -0.169757285
Oct 1 -0.31313982 8.426624 -0.013484133
Nov 1 -0.40000642 8.417217 -0.117210906
Dec 1  0.22203902 8.435014 -0.057053113
Jan 2  0.31297669 8.452811 -0.065787559
Feb 2  0.19406974 8.470574  0.035356648
Mar 2 -0.08575170 8.488336  0.097415349
Apr 2 -0.27032512 8.498677  0.171647686
May 2 -0.11489877 8.509019  0.105880247
Jun 2  0.17552457 8.489741  0.034734389
Jul 2  0.22594798 8.470464  0.003588468
Aug 2  0.11983726 8.423769  0.056393747
Sep 2 -0.06627329 8.377074  0.189198864
Oct 2 -0.31313982 8.322853  0.290286831
Nov 2 -0.40000642 8.268632  0.131374873
Dec 2  0.22203902 8.211369 -0.233408163
Jan 3  0.31297669 8.154107 -0.367083438
Feb 3  0.19406974 8.098421 -0.192490606
Mar 3 -0.08575170 8.042735  0.043016719
Apr 3 -0.27032512 7.994935  0.175390064
May 3 -0.11489877 7.947135  0.067763634
Jun 3  0.17552457 7.891889 -0.067413450
Jul 3  0.22594798 7.836643 -0.062590596
Aug 3  0.11983726 7.758877  0.021286005
Sep 3 -0.06627329 7.681111  0.385162443
Oct 3 -0.31313982 7.599053  0.414086842
Nov 3 -0.40000642 7.516995  0.083011315
Dec 3  0.22203902 7.438839 -0.160878272
Jan 4  0.31297669 7.360683 -0.373660099
Feb 4  0.19406974 7.266726 -0.460796046
Mar 4 -0.08575170 7.172769 -0.087017499
Apr 4 -0.27032512 7.089208  0.181116690
May 4 -0.11489877 7.005648  0.309251103
Jun 4  0.17552457 6.985443  0.139032475
Jul 4  0.22594798 6.965238 -0.091186215
Aug 4  0.11983726 6.976471 -0.296308715
Sep 4 -0.06627329 6.987705 -0.521431378
Oct 4 -0.31313982 6.992744 -0.579604133
Nov 4 -0.40000642 6.997783 -0.097776814
Dec 4  0.22203902 7.034581  0.443379697
Jan 5  0.31297669 7.071379  0.515643970
Feb 5  0.19406974 7.153770  0.152160479
Mar 5 -0.08575170 7.236160 -0.250408519
Apr 5 -0.27032512 7.315562 -0.445236816
May 5 -0.11489877 7.394964 -0.380064889
Jun 5  0.17552457 7.464866  0.059609694
Jul 5  0.22594798 7.534768  0.239284215
Aug 5  0.11983726 7.607393  0.272769654
Sep 5 -0.06627329 7.680018  0.086254931
Oct 5 -0.31313982 7.754722 -0.141582311
Nov 5 -0.40000642 7.829426 -0.029419480
Dec 5  0.22203902 7.904741 -0.026779844
Jan 6  0.31297669 7.980056  0.006967553
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/10q5s1259940905.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2mhi71259940905.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3ikya1259940905.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/41np41259940905.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/50orf1259940905.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6z40w1259940905.tab") 
> system("convert tmp/10q5s1259940905.ps tmp/10q5s1259940905.png")
> system("convert tmp/2mhi71259940905.ps tmp/2mhi71259940905.png")
> system("convert tmp/3ikya1259940905.ps tmp/3ikya1259940905.png")
> system("convert tmp/41np41259940905.ps tmp/41np41259940905.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.968   0.600   1.134