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(611,594,595,591,589,584,573,567,569,621,629,628,612,595,597,593,590,580,574,573,573,620,626,620,588,566,557,561,549,532,526,511,499,555,565,542,527,510,514,517,508,493,490,469,478,528,534,518,506,502,516,528,533,536,537,524,536,587,597,581,564)
> par8 = 'FALSE'
> par7 = '1'
> par6 = ''
> par5 = '1'
> par4 = ''
> par3 = '1'
> 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   6.34954020 596.8516   7.7988546
Feb 1  -5.78724544 596.6443   3.1429025
Mar 1  -2.72507555 596.4371   1.2879948
Apr 1   0.01815552 596.3367  -5.3549034
May 1  -3.63861752 596.2364  -3.5977975
Jun 1 -11.82183452 596.1890  -0.3671475
Jul 1 -16.20504480 596.1415  -6.9365042
Aug 1 -26.94940371 596.1195  -2.1700613
Sep 1 -24.29376622 596.0974  -2.8036148
Oct 1  27.06547288 596.3590  -2.4244946
Nov 1  35.22471111 596.6207  -2.8453736
Dec 1  22.76310542 596.7548   8.4821133
Jan 2   6.34954020 596.8889   8.7615597
Feb 2  -5.78724544 596.9472   3.8400924
Mar 2  -2.72507555 597.0054   2.7196697
Apr 2   0.01815552 596.7389  -3.7570374
May 2  -3.63861752 596.4724  -2.8337403
Jun 2 -11.82183452 595.5124  -3.6905599
Jul 2 -16.20504480 594.5524  -4.3473863
Aug 2 -26.94940371 592.5875   7.3619262
Sep 2 -24.29376622 590.6225   6.6712423
Oct 2  27.06547288 587.6729   5.2616525
Nov 2  35.22471111 584.7232   6.0520636
Dec 2  22.76310542 580.6287  16.6081589
Jan 3   6.34954020 576.5342   5.1162137
Feb 3  -5.78724544 571.2671   0.5201736
Mar 3  -2.72507555 565.9999  -6.2748220
Apr 3   0.01815552 560.1841   0.7977420
May 3  -3.63861752 554.3683  -1.7296899
Jun 3 -11.82183452 548.8585  -5.0366782
Jul 3 -16.20504480 543.3487  -1.1436733
Aug 3 -26.94940371 538.7858  -0.8364267
Sep 3 -24.29376622 534.2229 -10.9291765
Oct 3  27.06547288 530.5765  -2.6419700
Nov 3  35.22471111 526.9301   2.8452374
Dec 3  22.76310542 523.8200  -4.5831014
Jan 4   6.34954020 520.7099  -0.0594807
Feb 4  -5.78724544 517.9761  -2.1888871
Mar 4  -2.72507555 515.2423   1.4827509
Apr 4   0.01815552 512.8493   4.1325809
May 4  -3.63861752 510.4562   1.1824150
Jun 4 -11.82183452 508.4375  -3.6157090
Jul 4 -16.20504480 506.4189  -0.2138396
Aug 4 -26.94940371 505.4697  -9.5202753
Sep 4 -24.29376622 504.5205  -2.2267074
Oct 4  27.06547288 505.4312  -4.4966229
Nov 4  35.22471111 506.3418  -7.5665375
Dec 4  22.76310542 509.4476 -14.2106839
Jan 5   6.34954020 512.5533 -12.9028708
Feb 5  -5.78724544 517.2595  -9.4722924
Mar 5  -2.72507555 521.9657  -3.2406695
Apr 5   0.01815552 527.2814   0.7004102
May 5  -3.63861752 532.5971   4.0414941
Jun 5 -11.82183452 537.4387  10.3831122
Jul 5 -16.20504480 542.2803  10.9247236
Aug 5 -26.94940371 547.1104   3.8389795
Sep 5 -24.29376622 551.9405   8.3532390
Oct 5  27.06547288 556.6757   3.2587968
Nov 5  35.22471111 561.4109   0.3643555
Dec 5  22.76310542 565.9430  -7.7061171
Jan 6   6.34954020 570.4751 -12.8246303
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1wo3a1259953674.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2xyaq1259953674.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3smr21259953674.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/4a2p01259953674.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/57vaz1259953675.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6g7rl1259953675.tab") 
> system("convert tmp/1wo3a1259953674.ps tmp/1wo3a1259953674.png")
> system("convert tmp/2xyaq1259953674.ps tmp/2xyaq1259953674.png")
> system("convert tmp/3smr21259953674.ps tmp/3smr21259953674.png")
> system("convert tmp/4a2p01259953674.ps tmp/4a2p01259953674.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.968   0.604   1.122