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(10.9,10,9.2,9.2,9.5,9.6,9.5,9.1,8.9,9,10.1,10.3,10.2,9.6,9.2,9.3,9.4,9.4,9.2,9,9,9,9.8,10,9.8,9.3,9,9,9.1,9.1,9.1,9.2,8.8,8.3,8.4,8.1,7.7,7.9,7.9,8,7.9,7.6,7.1,6.8,6.5,6.9,8.2,8.7,8.3,7.9,7.5,7.8,8.3,8.4,8.2,7.7,7.2,7.3,8.1,8.5)
> 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  0.52555051 9.749614  0.624835617
Feb 1  0.11594800 9.719343  0.164709180
Mar 1 -0.23365448 9.689072 -0.255417283
Apr 1 -0.10288402 9.662183 -0.359299148
May 1  0.10788630 9.635295 -0.243180883
Jun 1  0.11262671 9.608669 -0.121295674
Jul 1 -0.06263281 9.582043 -0.019410543
Aug 1 -0.29688726 9.557857 -0.160969679
Sep 1 -0.55114188 9.533671 -0.082528658
Oct 1 -0.50795657 9.530511 -0.022554363
Nov 1  0.33522867 9.527351  0.237419998
Dec 1  0.55791681 9.515746  0.226337197
Jan 2  0.52555051 9.504141  0.170308821
Feb 2  0.11594800 9.488254 -0.004201859
Mar 2 -0.23365448 9.472367 -0.038712565
Apr 2 -0.10288402 9.456082 -0.053198032
May 2  0.10788630 9.439797 -0.147683367
Jun 2  0.11262671 9.420422 -0.133048584
Jul 2 -0.06263281 9.401047 -0.138413879
Aug 2 -0.29688726 9.383383 -0.086495929
Sep 2 -0.55114188 9.365720  0.185422179
Oct 2 -0.50795657 9.346591  0.161365724
Nov 2  0.33522867 9.327462  0.137309334
Dec 2  0.55791681 9.306546  0.135537660
Jan 3  0.52555051 9.285629 -0.011179589
Feb 3  0.11594800 9.263834 -0.079781586
Mar 3 -0.23365448 9.242038 -0.008383610
Apr 3 -0.10288402 9.185923 -0.083039408
May 3  0.10788630 9.129809 -0.137695076
Jun 3  0.11262671 9.015663 -0.028289305
Jul 3 -0.06263281 8.901516  0.261116387
Aug 3 -0.29688726 8.769211  0.727675905
Sep 3 -0.55114188 8.636906  0.714235580
Oct 3 -0.50795657 8.512460  0.295496496
Nov 3  0.33522867 8.388014 -0.323242522
Dec 3  0.55791681 8.245053 -0.702969809
Jan 4  0.52555051 8.102092 -0.927642670
Feb 4  0.11594800 7.946179 -0.162126672
Mar 4 -0.23365448 7.790265  0.343389299
Apr 4 -0.10288402 7.698590  0.404294473
May 4  0.10788630 7.606914  0.185199778
Jun 4  0.11262671 7.596156 -0.108782811
Jul 4 -0.06263281 7.585398 -0.422765479
Aug 4 -0.29688726 7.590468 -0.493580351
Sep 4 -0.55114188 7.595537 -0.544395065
Oct 4 -0.50795657 7.613393 -0.205436197
Nov 4  0.33522867 7.631249  0.233522737
Dec 4  0.55791681 7.694810  0.447273032
Jan 5  0.52555051 7.758372  0.016077753
Feb 5  0.11594800 7.827480 -0.043427927
Mar 5 -0.23365448 7.896588 -0.162933633
Apr 5 -0.10288402 7.907392 -0.004507802
May 5  0.10788630 7.918196  0.273918160
Jun 5  0.11262671 7.928077  0.359296390
Jul 5 -0.06263281 7.937958  0.324674542
Aug 5 -0.29688726 7.945715  0.051172232
Sep 5 -0.55114188 7.953472 -0.202329922
Oct 5 -0.50795657 7.956162 -0.148205684
Nov 5  0.33522867 7.958853 -0.194081381
Dec 5  0.55791681 7.957491 -0.015407844
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1ost51259865049.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2cuex1259865049.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/36ci11259865049.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/4cxm51259865049.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5lppr1259865049.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6pl651259865049.tab") 
> system("convert tmp/1ost51259865049.ps tmp/1ost51259865049.png")
> system("convert tmp/2cuex1259865049.ps tmp/2cuex1259865049.png")
> system("convert tmp/36ci11259865049.ps tmp/36ci11259865049.png")
> system("convert tmp/4cxm51259865049.ps tmp/4cxm51259865049.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.957   0.614   1.124