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(95.5,76.7,79.4,55.2,60,64.8,82.3,210.5,106,80.8,97.3,189.5,90,69.3,87.3,57.4,56.2,61.6,77.7,177.2,97.6,81.6,96.8,191.3,106,75.1,72,63.5,57.4,62.3,79.4,178.1,109.3,85.2,102.7,193.7,108.4,73.4,85.9,58.5,58.6,62.7,77.5,180.5,102.2,82.6,97.8,197.8,93.8,72.4,77.7,58.7,53.1,64.3,76.4,188.4,105.5,79.8,96.1,202.5)
> 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   0.6352642 99.29973 -4.43499511
Feb 1 -24.6313682 99.44490  1.88647134
Mar 1 -17.4579946 99.59006 -2.73206814
Apr 1 -39.2178694 99.61949 -5.20161591
May 1 -40.7777473 99.64891  1.12883942
Jun 1 -34.7552437 99.58950 -0.03425787
Jul 1 -19.2927376 99.53010  2.06264241
Aug 1  88.9194804 99.49223 22.08829248
Sep 1   6.0317192 99.45436  0.51392167
Oct 1 -16.1448987 99.29307 -2.34816968
Nov 1  -0.0615190 99.13178 -1.77025864
Dec 1  96.7529148 98.49927 -5.75218204
Jan 2   0.6352642 97.86676 -8.50202102
Feb 2 -24.6313682 96.99346 -3.06209515
Mar 2 -17.4579946 96.12017  8.63782479
Apr 2 -39.2178694 95.79279  0.82507864
May 2 -40.7777473 95.46541  1.51233561
Jun 2 -34.7552437 95.66605  0.68919190
Jul 2 -19.2927376 95.86669  1.12604576
Aug 2  88.9194804 96.03422 -7.75369825
Sep 2   6.0317192 96.20174 -4.63346315
Oct 2 -16.1448987 96.28446  1.46043765
Nov 2  -0.0615190 96.36718  0.49434082
Dec 2  96.7529148 96.60299 -2.05590923
Jan 3   0.6352642 96.83881  8.52592513
Feb 3 -24.6313682 97.15528  2.57608694
Mar 3 -17.4579946 97.47175 -8.01375719
Apr 3 -39.2178694 97.76931  4.94855511
May 3 -40.7777473 98.06688  0.11087052
Jun 3 -34.7552437 98.34673 -1.29148600
Jul 3 -19.2927376 98.62658  0.06615504
Aug 3  88.9194804 98.93229 -9.75176584
Sep 3   6.0317192 99.23799  4.03029240
Oct 3 -16.1448987 99.50906  1.83583828
Nov 3  -0.0615190 99.78013  2.98138654
Dec 3  96.7529148 99.83463 -2.88754709
Jan 4   0.6352642 99.88913  7.87560369
Feb 4 -24.6313682 99.68505 -1.65368205
Mar 4 -17.4579946 99.48097  3.87702628
Apr 4 -39.2178694 99.09015 -1.37228009
May 4 -40.7777473 98.69933  0.67841665
Jun 4 -34.7552437 98.30225 -0.84700661
Jul 4 -19.2927376 97.90517 -1.11243231
Aug 4  88.9194804 97.52683 -5.94631221
Sep 4   6.0317192 97.14849 -0.98021299
Oct 4 -16.1448987 96.92130  1.82359642
Nov 4  -0.0615190 96.69411  1.16740820
Dec 4  96.7529148 96.69231  4.35477731
Jan 5   0.6352642 96.69050 -3.52576918
Feb 5 -24.6313682 96.81971  0.21166005
Mar 5 -17.4579946 96.94891 -1.79091667
Apr 5 -39.2178694 97.14565  0.77221576
May 5 -40.7777473 97.34240 -3.46464871
Jun 5 -34.7552437 97.63564  1.41960188
Jul 5 -19.2927376 97.92889 -2.23614996
Aug 5  88.9194804 98.25394  1.22658351
Sep 5   6.0317192 98.57898  0.88929609
Oct 5 -16.1448987 98.92968 -2.98478591
Nov 5  -0.0615190 99.28038 -3.11886552
Dec 5  96.7529148 99.65320  6.09388767
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1c83i1259948439.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2egtd1259948439.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3gtrp1259948439.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/4byo61259948439.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5e8ul1259948439.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6n35w1259948439.tab") 
> system("convert tmp/1c83i1259948439.ps tmp/1c83i1259948439.png")
> system("convert tmp/2egtd1259948439.ps tmp/2egtd1259948439.png")
> system("convert tmp/3gtrp1259948439.ps tmp/3gtrp1259948439.png")
> system("convert tmp/4byo61259948439.ps tmp/4byo61259948439.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.977   0.619   1.154