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(153.4,145,137.7,148.3,152.2,169.4,168.6,161.1,174.1,179,190.6,190,181.6,174.8,180.5,196.8,193.8,197,216.3,221.4,217.9,229.7,227.4,204.2,196.6,198.8,207.5,190.7,201.6,210.5,223.5,223.8,231.2,244,234.7,250.2,265.7,287.6,283.3,295.4,312.3,333.8,347.7,383.2,407.1,413.6,362.7,321.9,239.4,191,159.7,163.4,157.6,166.2,176.7,198.3,226.2,216.2,235.9,226.9)
> 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 -13.0543606 164.3060   2.1483294
Feb 1 -21.5224563 164.5855   1.9369655
Mar 1 -27.7905570 164.8650   0.6256065
Apr 1 -24.3585722 165.4795   7.1790784
May 1 -21.5265778 166.0940   7.6325408
Jun 1 -10.1322363 167.1575  12.3747635
Jul 1   0.5621115 168.2209  -0.1830201
Aug 1  12.3832245 169.6119 -20.8950873
Sep 1  26.9443298 171.0028 -23.8471468
Oct 1  33.2346057 173.5560 -27.7906122
Nov 1  28.0848569 176.1092 -13.5940531
Dec 1  17.1756874 180.5784  -7.7541096
Jan 2 -13.0543606 185.0476   9.6067124
Feb 2 -21.5224563 189.8674   6.4550863
Mar 2 -27.7905570 194.6871  13.6034651
Apr 2 -24.3585722 198.2417  22.9169085
May 2 -21.5265778 201.7962  13.5303422
Jun 2 -10.1322363 203.3160   3.8162446
Jul 2   0.5621115 204.8357  10.9021406
Aug 2  12.3832245 205.5701   3.4466313
Sep 2  26.9443298 206.3045 -15.3488703
Oct 2  33.2346057 207.0623 -10.5968967
Nov 2  28.0848569 207.8200  -8.5048985
Dec 2  17.1756874 208.9529 -21.9285405
Jan 3 -13.0543606 210.0857  -0.4313041
Feb 3 -21.5224563 211.3948   8.9276705
Mar 3 -27.7905570 212.7039  22.5866499
Apr 3 -24.3585722 214.0779   0.9806428
May 3 -21.5265778 215.4520   7.6746262
Jun 3 -10.1322363 218.0262   2.6060681
Jul 3   0.5621115 220.6004   2.3375036
Aug 3  12.3832245 225.9703 -14.5535583
Sep 3  26.9443298 231.3403 -27.0846123
Oct 3  33.2346057 239.8118 -29.0463675
Nov 3  28.0848569 248.2832 -41.6680981
Dec 3  17.1756874 259.5220 -26.4977195
Jan 4 -13.0543606 270.7608   7.9935376
Feb 4 -21.5224563 284.3288  24.7936338
Mar 4 -27.7905570 297.8968  13.1937349
Apr 4 -24.3585722 310.4944   9.2642098
May 4 -21.5265778 323.0919  10.7346752
Jun 4 -10.1322363 328.4128  15.5194301
Jul 4   0.5621115 333.7337  13.4041786
Aug 4  12.3832245 328.8655  41.9512546
Sep 4  26.9443298 323.9973  56.1583384
Oct 4  33.2346057 311.9420  68.4233869
Nov 4  28.0848569 299.8867  34.7284600
Dec 4  17.1756874 283.9247  20.7996244
Jan 5 -13.0543606 267.9627 -15.5083327
Feb 5 -21.5224563 251.2060 -38.6835099
Mar 5 -27.7905570 234.4492 -46.9586822
Apr 5 -24.3585722 225.5688 -37.8102134
May 5 -21.5265778 216.6883 -37.5617541
Jun 5 -10.1322363 208.9414 -32.6091210
Jul 5   0.5621115 201.1944 -25.0564942
Aug 5  12.3832245 194.4204  -8.5036479
Sep 5  26.9443298 187.6465  11.6092061
Oct 5  33.2346057 182.0862   0.8791686
Nov 5  28.0848569 176.5260  31.2891557
Dec 5  17.1756874 171.8909  37.8333790
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1jcv51260375149.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/251gg1260375149.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3kg9j1260375149.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/40c5k1260375149.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5zatb1260375149.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6sodp1260375149.tab") 
> system("convert tmp/1jcv51260375149.ps tmp/1jcv51260375149.png")
> system("convert tmp/251gg1260375149.ps tmp/251gg1260375149.png")
> system("convert tmp/3kg9j1260375149.ps tmp/3kg9j1260375149.png")
> system("convert tmp/40c5k1260375149.ps tmp/40c5k1260375149.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.944   0.597   1.139