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(19,18,19,19,22,23,20,14,14,14,15,11,17,16,20,24,23,20,21,19,23,23,23,23,27,26,17,24,26,24,27,27,26,24,23,23,24,17,21,19,22,22,18,16,14,12,14,16,8,3,0,5,1,1,3,6,7,8,14,14,13)
> 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  1.0323505 20.388177 -2.42052740
Feb 1 -1.9169315 19.928233 -0.01130145
Mar 1 -2.2307931 19.468289  1.76250416
Apr 1  0.6607241 19.033869 -0.69459328
May 1  1.3522417 18.599449  2.04830902
Jun 1  0.5737907 18.226725  4.19948387
Jul 1  0.3953414 17.854002  1.75065698
Aug 1 -0.8573198 17.540903 -2.68358288
Sep 1 -0.3099816 17.227804 -2.91782225
Oct 1 -0.6944070 17.082084 -2.38767740
Nov 1  1.1211668 16.936365 -3.05753180
Dec 1  0.8738235 17.159328 -7.03315192
Jan 2  1.0323505 17.382292 -1.41464240
Feb 2 -1.9169315 17.901610  0.01532174
Mar 2 -2.2307931 18.420928  3.80986556
Apr 2  0.6607241 19.169733  4.16954315
May 2  1.3522417 19.918538  1.72922049
Jun 2  0.5737907 20.646481 -1.22027117
Jul 2  0.3953414 21.374423 -0.76976457
Aug 2 -0.8573198 21.816885 -1.95956513
Sep 2 -0.3099816 22.259347  1.05063480
Oct 2 -0.6944070 22.496584  1.19782267
Nov 2  1.1211668 22.733822 -0.85498871
Dec 2  0.8738235 23.048896 -0.92271954
Jan 3  1.0323505 23.363970  2.60367928
Feb 3 -1.9169315 23.735393  4.18153847
Mar 3 -2.2307931 24.106816 -4.87602267
Apr 3  0.6607241 24.293221 -0.95394503
May 3  1.3522417 24.479626  0.16813236
Jun 3  0.5737907 24.427762 -1.00155219
Jul 3  0.3953414 24.375897  2.22876151
Aug 3 -0.8573198 24.156311  3.70100854
Sep 3 -0.3099816 23.936726  2.37325606
Oct 3 -0.6944070 23.631151  1.06325641
Nov 3  1.1211668 23.325576 -1.44674249
Dec 3  0.8738235 22.800667 -0.67449014
Jan 4  1.0323505 22.275758  0.69189186
Feb 4 -1.9169315 21.519205 -2.60227400
Mar 4 -2.2307931 20.762653  2.46813982
Apr 4  0.6607241 19.920733 -1.58145732
May 4  1.3522417 19.078813  1.56894530
Jun 4  0.5737907 18.138505  3.28770446
Jul 4  0.3953414 17.198197  0.40646188
Aug 4 -0.8573198 15.943513  0.91380715
Sep 4 -0.3099816 14.688829 -0.37884709
Oct 4 -0.6944070 13.146902 -0.45249489
Nov 4  1.1211668 11.604975  1.27385805
Dec 4  0.8738235 10.082920  5.04325659
Jan 5  1.0323505  8.560865 -1.59321523
Feb 5 -1.9169315  7.484566 -2.56763437
Mar 5 -2.2307931  6.408267 -4.17747384
Apr 5  0.6607241  6.265628 -1.92635208
May 5  1.3522417  6.122989 -6.47523057
Jun 5  0.5737907  6.527825 -6.10161586
Jul 5  0.3953414  6.932661 -4.32800290
Aug 5 -0.8573198  7.400027 -0.54270740
Sep 5 -0.3099816  7.867393 -0.55741141
Oct 5 -0.6944070  8.463603  0.23080360
Nov 5  1.1211668  9.059814  3.81901935
Dec 5  0.8738235  9.793398  3.33277826
Jan 6  1.0323505 10.526983  1.44066682
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1js5m1259929271.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2pho11259929271.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3cl7d1259929271.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/4rrqx1259929271.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5ekfg1259929271.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/644ch1259929271.tab") 
> system("convert tmp/1js5m1259929271.ps tmp/1js5m1259929271.png")
> system("convert tmp/2pho11259929271.ps tmp/2pho11259929271.png")
> system("convert tmp/3cl7d1259929271.ps tmp/3cl7d1259929271.png")
> system("convert tmp/4rrqx1259929271.ps tmp/4rrqx1259929271.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.974   0.635   1.173