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(61,65,55,56,91,80,135,129,129,130,109,126,73,68,74,95,105,108,127,108,126,154,127,103,95,59,68,82,92,124,139,167,138,146,128,145,91,66,89,98,113,130,127,157,157,136,145,112,71,95,95,105,116,104,128,181,130,124,123,152)
> 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 -30.492004  89.67555   1.8164566
Feb 1 -38.621790  90.97670  12.6450913
Mar 1 -33.551546  92.27785  -3.7263035
Apr 1 -22.937467  93.59758 -14.6601102
May 1  -7.123399  94.91731   3.2060939
Jun 1  -1.679401  96.20825 -14.5288514
Jul 1  19.964565  97.49920  17.5362350
Aug 1  36.813326  98.82617  -6.6395000
Sep 1  24.062098 100.15315   4.7847533
Oct 1  25.611727 101.86018   2.5280964
Nov 1  13.561350 103.56720  -8.1285550
Dec 1  14.392541 104.62488   6.9825786
Jan 2 -30.492004 105.68256  -2.1905525
Feb 2 -38.621790 105.73679   0.8850024
Mar 2 -33.551546 105.79102   1.7605278
Apr 2 -22.937467 105.95119  11.9862786
May 2  -7.123399 106.11136   6.0120403
Jun 2  -1.679401 106.29917   3.3802284
Jul 2  19.964565 106.48699   0.5484482
Aug 2  36.813326 106.22730 -35.0406255
Sep 2  24.062098 105.96761  -4.0297110
Oct 2  25.611727 105.62311  22.7651678
Nov 2  13.561350 105.27860   8.1600521
Dec 2  14.392541 106.03599 -17.4285329
Jan 3 -30.492004 106.79339  18.6986173
Feb 3 -38.621790 108.36484 -10.7430549
Mar 3 -33.551546 109.93630  -8.3847565
Apr 3 -22.937467 111.13723  -6.1997584
May 3  -7.123399 112.33815 -13.2147494
Jun 3  -1.679401 113.58316  12.0962396
Jul 3  19.964565 114.82817   4.2072601
Aug 3  36.813326 116.07452  14.1121568
Sep 3  24.062098 117.32086  -3.3829581
Oct 3  25.611727 118.31177   2.0765070
Nov 3  13.561350 119.30267  -4.8640223
Dec 3  14.392541 119.59128  11.0161810
Jan 4 -30.492004 119.87988   1.6121196
Feb 4 -38.621790 119.87543 -15.2536404
Mar 4 -33.551546 119.87098   2.6805701
Apr 4 -22.937467 119.87319   1.0642801
May 4  -7.123399 119.87540   0.2480008
Jun 4  -1.679401 119.48768  12.1917236
Jul 4  19.964565 119.09996 -12.0645221
Aug 4  36.813326 119.05649   1.1301845
Sep 4  24.062098 119.01302  13.9248794
Oct 4  25.611727 119.18060  -8.7923278
Nov 4  13.561350 119.34818  12.0904707
Dec 4  14.392541 119.24316 -21.6357033
Jan 5 -30.492004 119.13815 -17.6461420
Feb 5 -38.621790 118.89950  14.7222886
Mar 5 -33.551546 118.66086   9.8906897
Apr 5 -22.937467 118.28654   9.6509243
May 5  -7.123399 117.91223   5.2111697
Jun 5  -1.679401 117.90566 -12.2262614
Jul 5  19.964565 117.89910  -9.8636608
Aug 5  36.813326 117.87405  26.3126209
Sep 5  24.062098 117.84901 -11.9111091
Oct 5  25.611727 117.74189 -19.3536217
Nov 5  13.561350 117.63478  -8.1961287
Dec 5  14.392541 117.49172  20.1157415
> m$win
  s   t   l 
601  19  13 
> m$deg
s t l 
0 1 1 
> m$jump
 s  t  l 
61  2  2 
> m$inner
[1] 2
> m$outer
[1] 0
> postscript(file="/var/fisher/rcomp/tmp/1v57b1354561063.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/fisher/rcomp/tmp/2wem61354561063.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/fisher/rcomp/tmp/3zm371354561063.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/fisher/rcomp/tmp/4oxn41354561063.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/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/5jgbu1354561063.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/fisher/rcomp/tmp/6qa4d1354561063.tab") 
> 
> try(system("convert tmp/1v57b1354561063.ps tmp/1v57b1354561063.png",intern=TRUE))
character(0)
> try(system("convert tmp/2wem61354561063.ps tmp/2wem61354561063.png",intern=TRUE))
character(0)
> try(system("convert tmp/3zm371354561063.ps tmp/3zm371354561063.png",intern=TRUE))
character(0)
> try(system("convert tmp/4oxn41354561063.ps tmp/4oxn41354561063.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.421   0.634   3.046