R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(17.75694444,-10.5625,-10.40277778,-24.45138889,7.798611111,56.28472222,2.743055556,-26.97222222,-5.948611111,-13.34861111,5.718055556,-13.86527778,53.75694444,3.3125,30.80555556,-3.409722222,-22.11805556,-38.67361111,-5.215277778,7.194444444,-0.781944444,16.06805556,-14.44861111,27.13472222,3.715277778,3.854166667,-5.944444444,2.881944444,-17.57638889,-7.215277778,-5.965277778,-4.847222222,-11.49027778,-5.806944444,1.176388889,22.38472222,-27.86805556,26.3125,-5.777777778,6.840277778,3.298611111,0.659722222,29.03472222,22.52777778,18.55138889,8.193055556,2.968055556,-25.07361111,-30.65972222,-19.5625,-3.069444444,6.381944444,20.92361111,4.951388889,-18.67361111,2.444444444,1.718055556,-3.056944444,6.634722222,-8.531944444,-14.24305556,-0.895833333,-3.152777778,14.21527778,10.13194444,-13.54861111,0.534722222,2.111111111)
> par8 = 'FALSE'
> par7 = '1'
> par6 = ''
> par5 = '1'
> par4 = ''
> par3 = '0'
> par2 = 'periodic'
> par1 = '12'
> main = 'Seasonal Decomposition by Loess'
> par8 <- 'FALSE'
> par7 <- '1'
> par6 <- ''
> par5 <- '1'
> par4 <- ''
> par3 <- '0'
> par2 <- 'periodic'
> par1 <- '12'
> #'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  0.208335217 -0.67742471  18.226033929
Feb 1  0.186708438 -0.31100260 -10.438205839
Mar 1  0.165058791  0.05541951 -10.623256079
Apr 1  0.007882529  0.44817178 -24.907443196
May 1 -0.149311571  0.84092404   7.106998638
Jun 1 -0.136067396  1.38738471  55.033404901
Jul 1 -0.122795018  1.93384539   0.932005188
Aug 1 -0.078540156  2.78168292 -29.675364985
Sep 1  0.075313657  3.62952046  -9.653445224
Oct 1 -0.017091204  3.94897445 -17.280494356
Nov 1 -0.109507002  4.26842844   1.559134115
Dec 1 -0.029979270  2.78765443 -16.622952943
Jan 2  0.208335217  1.30688042  52.241728801
Feb 2  0.186708438  0.98671688   2.139074683
Mar 2  0.165058791  0.66655334  29.973943433
Apr 2  0.007882529  0.83964482  -4.257249568
May 2 -0.149311571  1.01273630 -22.981480285
Jun 2 -0.136067396  0.55282227 -39.090365983
Jul 2 -0.122795018  0.09290824  -5.185391000
Aug 2 -0.078540156 -0.43503777   7.708022367
Sep 2  0.075313657 -0.96298378   0.105725675
Oct 2 -0.017091204 -0.59449861  16.679645373
Nov 2 -0.109507002 -0.22601344 -14.113090666
Dec 2 -0.029979270  0.19744570  26.967255788
Jan 3  0.208335217  0.62090484   2.886037717
Feb 3  0.186708438 -0.08410578   3.751564011
Mar 3  0.165058791 -0.78911641  -5.320386827
Apr 3  0.007882529 -1.72523795   4.599299868
May 3 -0.149311571 -2.66135950 -14.765717819
Jun 3 -0.136067396 -3.16972913  -3.909481256
Jul 3 -0.122795018 -3.67809875  -2.164384006
Aug 3 -0.078540156 -3.43769806  -1.330984011
Sep 3  0.075313657 -3.19729736  -8.368294079
Oct 3 -0.017091204 -2.28242330  -3.507429943
Nov 3 -0.109507002 -1.36754924   2.653445127
Dec 3 -0.029979270  0.21523723  22.199464256
Jan 4  0.208335217  1.79802370 -29.874414480
Feb 4  0.186708438  3.74584822  22.379943340
Mar 4  0.165058791  5.69367274 -11.636509309
Apr 4  0.007882529  6.83029392   0.002101329
May 4 -0.149311571  7.96691510  -4.518992416
Jun 4 -0.136067396  7.12081976  -6.325030147
Jul 4 -0.122795018  6.27472443  22.882792807
Aug 4 -0.078540156  4.67270329  17.933614646
Sep 4  0.075313657  3.07068215  15.405393085
Oct 4 -0.017091204  2.02981498   6.180331784
Nov 4 -0.109507002  0.98894780   2.088614755
Dec 4 -0.029979270 -0.10615833 -24.937473511
Jan 5  0.208335217 -1.20126446 -29.666792974
Feb 5  0.186708438 -2.45515806 -17.294050380
Mar 5  0.165058791 -3.70905165   0.474548418
Apr 5  0.007882529 -3.70967962  10.083741530
May 5 -0.149311571 -3.71030758  24.783230259
Jun 5 -0.136067396 -2.77210269   7.859558974
Jul 5 -0.122795018 -1.83389780 -16.716918290
Aug 5 -0.078540156 -1.34692742   3.869912015
Sep 5  0.075313657 -0.85995703   2.502698929
Oct 5 -0.017091204 -0.99013905  -2.049714186
Nov 5 -0.109507002 -1.12032108   7.864550303
Dec 5 -0.029979270 -0.95444751  -7.547517662
Jan 6  0.208335217 -0.78857395 -13.662816831
Feb 6  0.186708438 -0.66734625  -0.415195524
Mar 6  0.165058791 -0.54611855  -2.771718020
Apr 6  0.007882529 -0.33460566  14.542000912
May 6 -0.149311571 -0.12309278  10.404348786
Jun 6 -0.136067396  0.16093230 -13.573476012
Jul 6 -0.122795018  0.44495737   0.212559870
Aug 6 -0.078540156  0.74858180   1.441069462
> m$win
  s   t   l 
681  19  13 
> m$deg
s t l 
0 1 1 
> m$jump
 s  t  l 
69  2  2 
> m$inner
[1] 2
> m$outer
[1] 0
> postscript(file="/var/wessaorg/rcomp/tmp/12lgk1352735705.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/wessaorg/rcomp/tmp/29ovd1352735705.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3njwl1352735705.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/4itns1352735705.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/50mxk1352735705.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/69t911352735705.tab") 
> 
> try(system("convert tmp/12lgk1352735705.ps tmp/12lgk1352735705.png",intern=TRUE))
character(0)
> try(system("convert tmp/29ovd1352735705.ps tmp/29ovd1352735705.png",intern=TRUE))
character(0)
> try(system("convert tmp/3njwl1352735705.ps tmp/3njwl1352735705.png",intern=TRUE))
character(0)
> try(system("convert tmp/4itns1352735705.ps tmp/4itns1352735705.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.960   0.491   3.444