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(5560,3922,3759,4138,4634,3996,4308,4143,4429,5219,4929,5755,5592,4163,4962,5208,4755,4491,5732,5731,5040,6102,4904,5369,5578,4619,4731,5011,5299,4146,4625,4736,4219,5116,4205,4121,5103,4300,4578,3809,5526,4247,3830,4394,4826,4409,4569,4106,4794,3914,3793,4405,4022,4100,4788,3163,3585,3903,4178,3863,4187)
> 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  664.80467 4252.381  642.813969
Feb 1 -439.47715 4299.189   62.288608
Mar 1 -258.51957 4345.996 -328.476159
Apr 1 -102.97778 4396.638 -155.660323
May 1  235.96445 4447.280  -49.244930
Jun 1 -404.32484 4498.909  -98.584565
Jul 1   67.18617 4550.538 -309.724512
Aug 1 -142.94432 4603.241 -317.296887
Sep 1 -143.47570 4655.944  -83.468381
Oct 1  396.54333 4723.009   99.447921
Nov 1   13.76197 4790.073  125.164604
Dec 1  113.45844 4859.617  781.924483
Jan 2  664.80467 4929.161   -1.965392
Feb 2 -439.47715 5003.234 -400.756497
Mar 2 -258.51957 5077.307  143.212992
Apr 2 -102.97778 5124.433  186.544376
May 2  235.96445 5171.560 -652.524683
Jun 2 -404.32484 5186.591 -291.266129
Jul 2   67.18617 5201.622  463.192112
Aug 2 -142.94432 5208.258  665.686676
Sep 2 -143.47570 5214.894  -31.417880
Oct 2  396.54333 5208.424  497.032531
Nov 2   13.76197 5201.955 -311.716679
Dec 2  113.45844 5162.635   92.906455
Jan 3  664.80467 5123.316 -210.120165
Feb 3 -439.47715 5052.267    6.209720
Mar 3 -258.51957 4981.219    8.300199
Apr 3 -102.97778 4908.909  205.068556
May 3  235.96445 4836.599  226.436470
Jun 3 -404.32484 4769.371 -219.045964
Jul 3   67.18617 4702.143 -144.328709
Aug 3 -142.94432 4649.172  229.772458
Sep 3 -143.47570 4596.201 -233.725494
Oct 3  396.54333 4564.944  154.513074
Nov 3   13.76197 4533.686 -342.447979
Dec 3  113.45844 4516.091 -508.549514
Jan 4  664.80467 4498.496  -60.300802
Feb 4 -439.47715 4491.746  247.731552
Mar 4 -258.51957 4484.995  351.524501
Apr 4 -102.97778 4483.947 -571.969567
May 4  235.96445 4482.900  807.135922
Jun 4 -404.32484 4471.658  179.666458
Jul 4   67.18617 4460.417 -697.603317
Aug 4 -142.94432 4428.392  108.552286
Sep 4 -143.47570 4396.367  573.108770
Oct 4  396.54333 4362.109 -349.652020
Nov 4   13.76197 4327.850  227.387569
Dec 4  113.45844 4302.203 -309.661869
Jan 5  664.80467 4276.556 -147.361061
Feb 5 -439.47715 4239.086  114.391262
Mar 5 -258.51957 4201.615 -150.095821
Apr 5 -102.97778 4149.369  358.608676
May 5  235.96445 4097.123 -311.087270
Jun 5 -404.32484 4045.376  458.948667
Jul 5   67.18617 3993.630  727.184292
Aug 5 -142.94432 3940.420 -634.475465
Sep 5 -143.47570 3887.210 -158.734341
Oct 5  396.54333 3830.355 -323.898328
Nov 5   13.76197 3773.500  390.738066
Dec 5  113.45844 3714.461   35.080676
Jan 6  664.80467 3655.422 -133.226467
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/17azp1259936973.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2ncrp1259936973.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3hdmd1259936973.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/4lbev1259936973.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5afej1259936973.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/66keh1259936973.tab") 
> system("convert tmp/17azp1259936973.ps tmp/17azp1259936973.png")
> system("convert tmp/2ncrp1259936973.ps tmp/2ncrp1259936973.png")
> system("convert tmp/3hdmd1259936973.ps tmp/3hdmd1259936973.png")
> system("convert tmp/4lbev1259936973.ps tmp/4lbev1259936973.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.002   0.622   1.168