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(5594,5585,5710,5511,5403,5826,5884,5965,5960,6064,6046,5954,5952,5960,5983,5996,6021,6094,6202,6276,6306,6342,6345,6328,6191,6261,6253,6198,6247,6293,6381,6448,6470,6516,6532,6526,6533,6498,6507,6464,6453,6468,6497,6808,6793,6907,6792,6757,6734,6654,6589,6469,6521,6448,6410,6528,6445,6458,6215,6167)
> 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  -23.95656 5610.573    7.3837899
Feb 1  -48.41174 5643.547  -10.1353467
Mar 1  -46.86698 5676.521   80.3455683
Apr 1 -136.53356 5709.130  -61.5964774
May 1 -144.00018 5741.739 -194.7384872
Jun 1  -54.49253 5773.740  106.7528087
Jul 1  -12.78477 5805.741   91.0440009
Aug 1  111.27929 5837.944   15.7764116
Sep 1   94.94336 5870.148   -5.0911926
Oct 1  152.13528 5903.738    8.1264432
Nov 1   75.32726 5937.329   33.3440224
Dec 1   33.36107 5969.084  -48.4455095
Jan 2  -23.95656 6000.840  -24.8836032
Feb 2  -48.41174 6028.747  -20.3357235
Mar 2  -46.86698 6056.655  -26.7877921
Apr 2 -136.53356 6083.896   48.6371899
May 2 -144.00018 6111.138   53.8622077
Jun 2  -54.49253 6136.509   11.9831883
Jul 2  -12.78477 6161.881   52.9040653
Aug 2  111.27929 6183.862  -19.1417186
Sep 2   94.94336 6205.844    5.2124827
Oct 2  152.13528 6224.349  -34.4839553
Nov 2   75.32726 6242.853   26.8195500
Dec 2   33.36107 6259.809   34.8299039
Jan 3  -23.95656 6276.765  -61.8083040
Feb 3  -48.41174 6292.217   17.1947036
Mar 3  -46.86698 6307.669   -7.8022373
Apr 3 -136.53356 6322.600   11.9330787
May 3 -144.00018 6337.532   53.4684305
Jun 3  -54.49253 6355.324   -7.8316596
Jul 3  -12.78477 6373.117   20.6681466
Aug 3  111.27929 6393.971  -57.2506039
Sep 3   94.94336 6414.826  -39.7693694
Oct 3  152.13528 6435.517  -71.6522083
Nov 3   75.32726 6456.208    0.4648961
Dec 3   33.36107 6475.621   17.0181600
Jan 4  -23.95656 6495.034   61.9228621
Feb 4  -48.41174 6517.375   29.0362587
Mar 4  -46.86698 6539.717   14.1497069
Apr 4 -136.53356 6563.520   37.0134331
May 4 -144.00018 6587.323    9.6771951
Jun 4  -54.49253 6607.560  -85.0677051
Jul 4  -12.78477 6627.797 -118.0127090
Aug 4  111.27929 6641.813   54.9079241
Sep 4   94.94336 6655.828   42.2285424
Oct 4  152.13528 6663.376   91.4890121
Nov 4   75.32726 6670.923   45.7494250
Dec 4   33.36107 6667.081   56.5576296
Jan 5  -23.95656 6663.239   94.7172723
Feb 5  -48.41174 6642.351   60.0608885
Mar 5  -46.86698 6621.462   14.4045562
Apr 5 -136.53356 6575.617   29.9164796
May 5 -144.00018 6529.772  135.2284389
Jun 5  -54.49253 6481.758   20.7343327
Jul 5  -12.78477 6433.745  -10.9598771
Aug 5  111.27929 6384.220   32.5007108
Sep 5   94.94336 6334.695   15.3612838
Oct 5  152.13528 6283.453   22.4116347
Nov 5   75.32726 6232.211  -92.5380712
Dec 5   33.36107 6179.598  -45.9589676
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1o1gs1259932787.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2oeih1259932787.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3iqu81259932787.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/4pzu81259932787.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/59fq11259932787.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6jnyv1259932787.tab") 
> 
> system("convert tmp/1o1gs1259932787.ps tmp/1o1gs1259932787.png")
> system("convert tmp/2oeih1259932787.ps tmp/2oeih1259932787.png")
> system("convert tmp/3iqu81259932787.ps tmp/3iqu81259932787.png")
> system("convert tmp/4pzu81259932787.ps tmp/4pzu81259932787.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.956   0.585   1.549