R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(539,548,563,581,572,519,521,531,540,548,556,551,549,564,586,604,601,545,537,552,563,575,580,575,558,564,581,597,587,536,524,537,536,533,528,516,502,506,518,534,528,478,469,490,493,508,517,514,510,527,542,565,555,499,511,526,532,549,561,557,566,588,620,626,620,573,573,574,580,590)
> par8 = 'FALSE'
> par7 = '1'
> par6 = ''
> par5 = '1'
> par4 = ''
> par3 = '0'
> par2 = 'periodic'
> par1 = '12'
> main = 'Seasonal Decomposition by Loess'
> 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  -8.532077 541.6063   5.9257390
Feb 1   3.047411 542.6707   2.2818747
Mar 1  21.293565 543.7351  -2.0286563
Apr 1  36.809297 544.8746  -0.6838855
May 1  28.825027 546.0141  -2.8391117
Jun 1 -24.195797 547.2063  -4.0104788
Jul 1 -27.549959 548.3985   0.1514917
Aug 1 -16.093350 549.6569  -2.5635956
Sep 1 -11.470084 550.9154   0.5546596
Oct 1  -2.796746 552.6891  -1.8923604
Nov 1   3.688487 554.4628  -2.1512750
Dec 1  -3.025778 556.4991  -2.4732725
Jan 2  -8.532077 558.5353  -1.0032369
Feb 2   3.047411 560.4676   0.4849858
Mar 2  21.293565 562.3999   2.3065417
Apr 2  36.809297 564.3504   2.8402798
May 2  28.825027 566.3010   5.8740209
Jun 2 -24.195797 567.8105   1.3852976
Jul 2 -27.549959 569.3200  -4.7700881
Aug 2 -16.093350 569.7090  -1.6156981
Sep 2 -11.470084 570.0980   4.3720345
Oct 2  -2.796746 569.5405   8.2562015
Nov 2   3.688487 568.9830   7.3284740
Dec 2  -3.025778 567.8653  10.1604522
Jan 3  -8.532077 566.7476  -0.2155366
Feb 3   3.047411 564.8762  -3.9236136
Mar 3  21.293565 563.0048  -3.2983573
Apr 3  36.809297 559.8510   0.3397088
May 3  28.825027 556.6972   1.4777778
Jun 3 -24.195797 552.4660   7.7297988
Jul 3 -27.549959 548.2348   3.3151573
Aug 3 -16.093350 543.2352   9.8581472
Sep 3 -11.470084 538.2356   9.2344796
Oct 3  -2.796746 532.8035   2.9932670
Nov 3   3.688487 527.3714  -3.0598401
Dec 3  -3.025778 522.1984  -3.1726451
Jan 4  -8.532077 517.0255  -6.4934172
Feb 4   3.047411 513.0325 -10.0799499
Mar 4  21.293565 509.0396 -12.3331493
Apr 4  36.809297 506.9759  -9.7852066
May 4  28.825027 504.9122  -5.7372610
Jun 4 -24.195797 504.9586  -2.7628403
Jul 4 -27.549959 505.0050  -8.4550820
Aug 4 -16.093350 506.5890  -0.4956901
Sep 4 -11.470084 508.1730  -3.7029557
Oct 4  -2.796746 510.4848   0.3119420
Nov 4   3.688487 512.7966   0.5149450
Dec 4  -3.025778 515.3719   1.6538698
Jan 5  -8.532077 517.9472   0.5848275
Feb 5   3.047411 520.8784   3.0742356
Mar 5  21.293565 523.8095  -3.1030229
Apr 5  36.809297 527.1267   1.0640056
May 5  28.825027 530.4439  -4.2689629
Jun 5 -24.195797 534.4197 -11.2238752
Jul 5 -27.549959 538.3954   0.1545501
Aug 5 -16.093350 543.4960  -1.4026258
Sep 5 -11.470084 548.5965  -5.1264591
Oct 5  -2.796746 554.4041  -2.6073568
Nov 5   3.688487 560.2117  -2.9001491
Dec 5  -3.025778 565.8994  -5.8736584
Jan 6  -8.532077 571.5872   2.9448653
Feb 6   3.047411 575.4872   9.4653946
Mar 6  21.293565 579.3872  19.3192571
Apr 6  36.809297 583.0625   6.1281902
May 6  28.825027 586.7378   4.4371262
Jun 6 -24.195797 590.2836   6.9121520
Jul 6 -27.549959 593.8294   6.7205154
Aug 6 -16.093350 597.1331  -7.0397514
Sep 6 -11.470084 600.4368  -8.9666755
Oct 6  -2.796746 603.5136 -10.7168173
> m$win
  s   t   l 
701  19  13 
> m$deg
s t l 
0 1 1 
> m$jump
 s  t  l 
71  2  2 
> m$inner
[1] 2
> m$outer
[1] 0
> postscript(file="/var/wessaorg/rcomp/tmp/1m6wl1324644955.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/wessaorg/rcomp/tmp/2mdfm1324644955.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$time.series[,'remainder']),na.action=na.pass,lag.max = mylagmax,main='Remainder')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3h4ws1324644955.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$time.series[,'remainder']),'remainder']),main='Remainder')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4ldhr1324644955.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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$time.series[,'remainder']),'remainder']),main='Remainder')
> par(op)
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Parameters',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Component',header=TRUE)
> a<-table.element(a,'Window',header=TRUE)
> a<-table.element(a,'Degree',header=TRUE)
> a<-table.element(a,'Jump',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,m$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/wessaorg/rcomp/tmp/5kxrm1324644955.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/wessaorg/rcomp/tmp/6xs0j1324644955.tab") 
> 
> try(system("convert tmp/1m6wl1324644955.ps tmp/1m6wl1324644955.png",intern=TRUE))
character(0)
> try(system("convert tmp/2mdfm1324644955.ps tmp/2mdfm1324644955.png",intern=TRUE))
character(0)
> try(system("convert tmp/3h4ws1324644955.ps tmp/3h4ws1324644955.png",intern=TRUE))
character(0)
> try(system("convert tmp/4ldhr1324644955.ps tmp/4ldhr1324644955.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.358   0.266   1.629