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(462,455,461,461,463,462,456,455,456,472,472,471,465,459,465,468,467,463,460,462,461,476,476,471,453,443,442,444,438,427,424,416,406,431,434,418,412,404,409,412,406,398,397,385,390,413,413,401,397,397,409,419,424,428,430,424,433,456,459,446,441)
> 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 -2.847716 461.7282  3.11953567
Feb 1 -7.336247 461.8338  0.50241227
Mar 1 -1.339862 461.9395  0.40037231
Apr 1  2.519089 462.0784 -3.59745150
May 1  1.578036 462.2172 -0.79527245
Jun 1 -2.148603 462.3828  1.76584689
Jul 1 -4.075237 462.5483 -2.47303849
Aug 1 -8.889010 462.7541  1.13494221
Sep 1 -7.902787 462.9599  0.94292591
Oct 1 12.514756 463.3268 -3.84155875
Nov 1 13.732297 463.6937 -5.42604216
Dec 1  4.195284 464.0551  2.74963918
Jan 2 -2.847716 464.4164  3.43130783
Feb 2 -7.336247 464.8447  1.49153029
Mar 2 -1.339862 465.2730  1.06683619
Apr 2  2.519089 465.5720 -0.09113808
May 2  1.578036 465.8711 -0.44910949
Jun 2 -2.148603 465.6383 -0.48969974
Jul 2 -4.075237 465.4055 -1.33029471
Aug 2 -8.889010 464.2771  6.61189638
Sep 2 -7.902787 463.1487  5.75409047
Oct 2 12.514756 461.1077  2.37754260
Nov 2 13.732297 459.0667  3.20099598
Dec 2  4.195284 456.0735 10.73118073
Jan 3 -2.847716 453.0804  2.76735277
Feb 3 -7.336247 449.2441  1.09213236
Mar 3 -1.339862 445.4079 -2.06800461
Apr 3  2.519089 441.2795  0.20140245
May 3  1.578036 437.1512 -0.72918763
Jun 3 -2.148603 433.3160 -4.16739847
Jul 3 -4.075237 429.4809 -1.40561404
Aug 3 -8.889010 426.2796 -1.39054282
Sep 3 -7.902787 423.0783 -9.17546861
Oct 3 12.514756 420.4352 -1.94994683
Nov 3 13.732297 417.7921  2.47557620
Dec 3  4.195284 415.4781 -1.67342581
Jan 4 -2.847716 413.1642  1.68355948
Feb 4 -7.336247 411.0956  0.24069520
Mar 4 -1.339862 409.0269  1.31291437
Apr 4  2.519089 407.2484  2.23252131
May 4  1.578036 405.4698 -1.04786889
Jun 4 -2.148603 404.0230 -3.87438454
Jul 4 -4.075237 402.5761 -1.50090492
Aug 4 -8.889010 401.9280 -8.03900384
Sep 4 -7.902787 401.2799 -3.37709978
Oct 4 12.514756 401.9525 -1.46723677
Nov 4 13.732297 402.6251 -3.35737251
Dec 4  4.195284 404.8113 -8.00654355
Jan 5 -2.847716 406.9974 -7.14972728
Feb 5 -7.336247 410.2808 -5.94458090
Mar 5 -1.339862 413.5642 -3.22435106
Apr 5  2.519089 417.4255 -0.94461187
May 5  1.578036 421.2868  1.13513017
Jun 5 -2.148603 424.9849  5.16374903
Jul 5 -4.075237 428.6829  5.39236315
Aug 5 -8.889010 432.3890  0.50003608
Sep 5 -7.902787 436.0951  4.80771199
Oct 5 12.514756 439.7816  3.70365900
Nov 5 13.732297 443.4681  1.79960726
Dec 5  4.195284 447.0723 -5.26756394
Jan 6 -2.847716 450.6765 -6.82874783
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1vqr11259943280.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/213qf1259943280.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/38kj11259943280.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/44zo01259943280.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5tiiv1259943280.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6ee9g1259943280.tab") 
> system("convert tmp/1vqr11259943280.ps tmp/1vqr11259943280.png")
> system("convert tmp/213qf1259943280.ps tmp/213qf1259943280.png")
> system("convert tmp/38kj11259943280.ps tmp/38kj11259943280.png")
> system("convert tmp/44zo01259943280.ps tmp/44zo01259943280.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.973   0.603   1.130