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(1.4,1.2,1,1.7,2.4,2,2.1,2,1.8,2.7,2.3,1.9,2,2.3,2.8,2.4,2.3,2.7,2.7,2.9,3,2.2,2.3,2.8,2.8,2.8,2.2,2.6,2.8,2.5,2.4,2.3,1.9,1.7,2,2.1,1.7,1.8,1.8,1.8,1.3,1.3,1.3,1.2,1.4,2.2,2.9,3.1,3.5,3.6,4.4,4.1,5.1,5.8,5.9,5.4,5.5,4.8,3.2,2.7)
> 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 -0.067395875 1.307969  0.159427141
Feb 1 -0.079188655 1.407046 -0.127857401
Mar 1 -0.050981762 1.506123 -0.455141617
Apr 1  0.002528346 1.602633  0.094838453
May 1  0.236038037 1.699143  0.464818942
Jun 1  0.284510083 1.793798 -0.078308121
Jul 1  0.272982154 1.888453 -0.061435210
Aug 1  0.103480355 1.981911 -0.085391724
Sep 1  0.013978374 2.075370 -0.289348056
Oct 1 -0.048770854 2.151823  0.596948155
Nov 1 -0.291519272 2.228276  0.363243555
Dec 1 -0.375661509 2.277226 -0.001564817
Jan 2 -0.067395875 2.326177 -0.258781059
Feb 2 -0.079188655 2.370599  0.008589185
Mar 2 -0.050981762 2.415022  0.435959756
Apr 2  0.002528346 2.446252 -0.048780273
May 2  0.236038037 2.477482 -0.413519884
Jun 2  0.284510083 2.513619 -0.098128967
Jul 2  0.272982154 2.549756 -0.122738076
Aug 2  0.103480355 2.582705  0.213814355
Sep 2  0.013978374 2.615655  0.370366968
Oct 2 -0.048770854 2.630727 -0.381955852
Nov 2 -0.291519272 2.645799 -0.054279483
Dec 2 -0.375661509 2.635879  0.539782148
Jan 3 -0.067395875 2.625960  0.241435908
Feb 3 -0.079188655 2.579476  0.299712307
Mar 3 -0.050981762 2.532993 -0.282010968
Apr 3  0.002528346 2.469699  0.127772749
May 3  0.236038037 2.406405  0.157556884
Jun 3  0.284510083 2.340204 -0.124714263
Jul 3  0.272982154 2.274003 -0.146985436
Aug 3  0.103480355 2.209514 -0.012994605
Sep 3  0.013978374 2.145025 -0.259003592
Oct 3 -0.048770854 2.074042 -0.325270861
Nov 3 -0.291519272 2.003058  0.288461060
Dec 3 -0.375661509 1.915594  0.560067485
Jan 4 -0.067395875 1.828130 -0.060733960
Feb 4 -0.079188655 1.751661  0.127527917
Mar 4 -0.050981762 1.675192  0.175790121
Apr 4  0.002528346 1.664189  0.133282492
May 4  0.236038037 1.653187 -0.589224718
Jun 4  0.284510083 1.735752 -0.720262146
Jul 4  0.272982154 1.818317 -0.791299601
Aug 4  0.103480355 1.998844 -0.902324657
Sep 4  0.013978374 2.179371 -0.793349530
Oct 4 -0.048770854 2.451391 -0.202620123
Nov 4 -0.291519272 2.723411  0.468108472
Dec 4 -0.375661509 3.074972  0.400689093
Jan 5 -0.067395875 3.426534  0.140861843
Feb 5 -0.079188655 3.766255 -0.087066429
Mar 5 -0.050981762 4.105976  0.345005625
Apr 5  0.002528346 4.224640 -0.127168511
May 5  0.236038037 4.343304  0.520657771
Jun 5  0.284510083 4.415254  1.100235876
Jul 5  0.272982154 4.487204  1.139813956
Aug 5  0.103480355 4.549496  0.747023624
Sep 5  0.013978374 4.611788  0.874233475
Oct 5 -0.048770854 4.655123  0.193647705
Nov 5 -0.291519272 4.698458 -1.206938875
Dec 5 -0.375661509 4.720348 -1.644686260
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1m2uc1259949372.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2t5br1259949372.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3vaq11259949372.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/42ya61259949372.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5p46z1259949372.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6zrlm1259949372.tab") 
> system("convert tmp/1m2uc1259949372.ps tmp/1m2uc1259949372.png")
> system("convert tmp/2t5br1259949372.ps tmp/2t5br1259949372.png")
> system("convert tmp/3vaq11259949372.ps tmp/3vaq11259949372.png")
> system("convert tmp/42ya61259949372.ps tmp/42ya61259949372.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.951   0.591   1.510