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(226.9,235.9,216.2,226.2,198.3,176.7,166.2,157.6,163.4,159.7,191.0,239.4,321.9,362.7,413.6,407.1,383.2,347.7,333.8,312.3,295.4,283.3,287.6,265.7,250.2,234.7,244.0,231.2,223.8,223.5,210.5,201.6,190.7,207.5,198.8,196.6,204.2,227.4,229.7,217.9,221.4,216.3,197.0,193.8,196.8,180.5,174.8,181.6,190.0,190.6,179.0,174.1,161.1,168.6,169.4,152.2,148.3,137.7,145.0,153.4)
> 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  17.2474664 171.8107  37.8418322
Feb 1  28.0506694 176.7649  31.0844665
Mar 1  33.4738883 181.7190   1.0070851
Apr 1  27.0883237 187.9102  11.2014449
May 1  12.1627724 194.1014  -7.9642084
Jun 1   0.9261102 201.4200 -25.6461259
Jul 1 -10.4905555 208.7386 -32.0480399
Aug 1 -21.1284566 216.8122 -38.0837254
Sep 1 -24.4663640 224.8858 -37.0194045
Oct 1 -28.3649927 237.9336 -49.8685758
Nov 1 -21.3836383 250.9814 -38.5977301
Dec 1 -13.1151675 267.7641 -15.2488881
Jan 2  17.2474664 284.5467  20.1057909
Feb 2  28.0506694 298.8951  35.7542183
Mar 2  33.4738883 313.2435  66.8826300
Apr 2  27.0883237 322.2153  57.7964225
May 2  12.1627724 331.1870  39.8502019
Jun 2   0.9261102 331.0497  15.7241405
Jul 2 -10.4905555 330.9125  13.3780827
Aug 2 -21.1284566 321.2196  12.2088230
Sep 2 -24.4663640 311.5268   8.3395696
Oct 2 -28.3649927 297.7217  13.9432789
Nov 2 -21.3836383 283.9166  25.0670051
Dec 2 -13.1151675 271.4012   7.4139318
Jan 3  17.2474664 258.8858 -25.9333046
Feb 3  28.0506694 248.9602 -42.3108958
Mar 3  33.4738883 239.0346 -28.5085028
Apr 3  27.0883237 232.1212 -28.0095530
May 3  12.1627724 225.2078 -13.5706163
Jun 3   0.9261102 221.3255   1.2483572
Jul 3 -10.4905555 217.4432   3.5473342
Aug 3 -21.1284566 215.7391   6.9893458
Sep 3 -24.4663640 214.0350   1.1313638
Oct 3 -28.3649927 212.7144  23.1505752
Nov 3 -21.3836383 211.3938   8.7898036
Dec 3 -13.1151675 210.1248  -0.4096404
Jan 4  17.2474664 208.8558 -21.9032476
Feb 4  28.0506694 207.9267  -8.5773987
Mar 4  33.4738883 206.9977 -10.7715656
Apr 4  27.0883237 206.3061 -15.4943801
May 4  12.1627724 205.6144   3.6227922
Jun 4   0.9261102 204.6646  10.7092641
Jul 4 -10.4905555 203.7148   3.7757396
Aug 4 -21.1284566 201.2514  13.6770666
Sep 4 -24.4663640 198.7880  22.4784001
Oct 4 -28.3649927 194.3736  14.4914301
Nov 4 -21.3836383 189.9592   6.2244772
Dec 4 -13.1151675 185.1541   9.5610731
Jan 5  17.2474664 180.3490  -7.5964941
Feb 5  28.0506694 176.3593 -13.8099988
Mar 5  33.4738883 172.3696 -26.8435193
Apr 5  27.0883237 170.9836 -23.9719002
May 5  12.1627724 169.5975 -20.6602942
Jun 5   0.9261102 168.3300  -0.6561434
Jul 5 -10.4905555 167.0625  12.8280110
Aug 5 -21.1284566 166.2411   7.0873899
Sep 5 -24.4663640 165.4196   7.3467751
Oct 5 -28.3649927 165.0017   1.0632685
Nov 5 -21.3836383 164.5839   1.7997789
Dec 5 -13.1151675 164.3846   2.1305346
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1jmex1260004534.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/28dzk1260004534.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3moqs1260004534.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/4iky31260004534.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5ol7b1260004534.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6j05b1260004534.tab") 
> system("convert tmp/1jmex1260004534.ps tmp/1jmex1260004534.png")
> system("convert tmp/28dzk1260004534.ps tmp/28dzk1260004534.png")
> system("convert tmp/3moqs1260004534.ps tmp/3moqs1260004534.png")
> system("convert tmp/4iky31260004534.ps tmp/4iky31260004534.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.949   0.610   1.260