R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(548604,563668,586111,604378,600991,544686,537034,551531,563250,574761,580112,575093,557560,564478,580523,596594,586570,536214,523597,536535,536322,532638,528222,516141,501866,506174,517945,533590,528379,477580,469357,490243,492622,507561,516922,514258,509846,527070,541657,564591,555362,498662,511038,525919,531673,548854,560576,557274,565742)
> 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  -8479.3562 565282.2  -8198.82483
Feb 1   -350.5968 565906.0  -1887.40702
Mar 1  16300.5924 566529.8   3280.58110
Apr 1  34774.4978 567076.8   2526.66415
May 1  28056.4047 567623.8   5310.74565
Jun 1 -25471.2896 568106.8   2050.51118
Jul 1 -29487.9924 568589.7  -2067.71480
Aug 1 -13825.0195 568946.0  -3589.97293
Sep 1  -9052.8010 569302.3   3000.52341
Oct 1    861.3857 568965.3   4934.36410
Nov 1   6293.3235 568628.2   5190.45358
Dec 1    380.8493 567631.5   7080.63487
Jan 2  -8479.3562 566634.8   -595.45256
Feb 2   -350.5968 564878.5    -49.90264
Mar 2  16300.5924 563122.2   1100.21759
Apr 2  34774.4978 559974.9   1844.59596
May 2  28056.4047 556827.6   1685.97277
Jun 2 -25471.2896 552449.3   9235.98301
Jul 2 -29487.9924 548071.0   5014.00174
Aug 2 -13825.0195 542960.0   7399.98389
Sep 2  -9052.8010 537849.1   7525.72052
Oct 2    861.3857 532449.6   -672.94909
Nov 2   6293.3235 527050.0  -5121.36990
Dec 2    380.8493 522030.8  -6270.62840
Jan 3  -8479.3562 517011.5  -6666.15561
Feb 3   -350.5968 513152.2  -6627.56722
Mar 3  16300.5924 509292.8  -7648.40852
Apr 3  34774.4978 507230.0  -8414.48401
May 3  28056.4047 505167.2  -4844.56105
Jun 3 -25471.2896 505049.3  -1998.01839
Jul 3 -29487.9924 504931.5  -6086.46724
Aug 3 -13825.0195 506381.0  -2312.98446
Sep 3  -9052.8010 507830.5  -6155.74720
Oct 3    861.3857 510146.7  -3447.10511
Nov 3   6293.3235 512462.9  -1834.21421
Dec 3    380.8493 515164.3  -1287.10309
Jan 4  -8479.3562 517865.6    459.73933
Feb 4   -350.5968 520915.5   6505.08826
Mar 4  16300.5924 523965.4   1391.00750
Apr 4  34774.4978 527389.4   2427.06786
May 4  28056.4047 530813.5  -3507.87334
Jun 4 -25471.2896 534692.4 -10559.10279
Jul 4 -29487.9924 538571.3   1954.67625
Aug 4 -13825.0195 542496.3  -2752.23878
Sep 4  -9052.8010 546421.2  -5695.39933
Oct 4    861.3857 550391.8  -2399.17456
Nov 4   6293.3235 554362.4    -79.70100
Dec 4    380.8493 558428.7  -1535.58452
Jan 5  -8479.3562 562495.1  11726.26326
> m$win
  s   t   l 
491  19  13 
> m$deg
s t l 
0 1 1 
> m$jump
 s  t  l 
50  2  2 
> m$inner
[1] 2
> m$outer
[1] 0
> postscript(file="/var/www/rcomp/tmp/1qmcz1293566062.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/rcomp/tmp/2jvbk1293566062.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/rcomp/tmp/3jvbk1293566062.ps",horizontal=F,onefile=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/rcomp/tmp/4untn1293566062.ps",horizontal=F,onefile=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/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/58frw1293566062.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/rcomp/tmp/6tf721293566062.tab") 
> 
> try(system("convert tmp/1qmcz1293566062.ps tmp/1qmcz1293566062.png",intern=TRUE))
character(0)
> try(system("convert tmp/2jvbk1293566062.ps tmp/2jvbk1293566062.png",intern=TRUE))
character(0)
> try(system("convert tmp/3jvbk1293566062.ps tmp/3jvbk1293566062.png",intern=TRUE))
character(0)
> try(system("convert tmp/4untn1293566062.ps tmp/4untn1293566062.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.080   0.730   1.799