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(1.59,1.26,1.13,1.92,2.61,2.26,2.41,2.26,2.03,2.86,2.55,2.27,2.26,2.57,3.07,2.76,2.51,2.87,3.14,3.11,3.16,2.47,2.57,2.89,2.63,2.38,1.69,1.96,2.19,1.87,1.6,1.63,1.22,1.21,1.49,1.64,1.66,1.77,1.82,1.78,1.28,1.29,1.37,1.12,1.51,2.24,2.94,3.09,3.46,3.64,4.39,4.15,5.21,5.8,5.91,5.39,5.46,4.72,3.14,2.63)
> 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 -0.026056506 1.458155  0.157901834
Feb 1 -0.091441321 1.570085 -0.218643800
Mar 1 -0.064826435 1.682016 -0.487189135
Apr 1  0.005693772 1.790397  0.123909317
May 1  0.228213603 1.898778  0.483008145
Jun 1  0.257551633 2.005006 -0.002558056
Jul 1  0.296889667 2.111235  0.001875739
Aug 1  0.065674412 2.216750 -0.022424642
Sep 1 -0.007540997 2.322266 -0.284724868
Oct 1 -0.042954345 2.406130  0.496823925
Nov 1 -0.264367000 2.489995  0.324372026
Dec 1 -0.356837165 2.540987  0.085850567
Jan 2 -0.026056506 2.591978 -0.305921716
Feb 2 -0.091441321 2.637634  0.023807708
Mar 2 -0.064826435 2.683289  0.451537431
Apr 2  0.005693772 2.713386  0.040920051
May 2  0.228213603 2.743483 -0.461696953
Jun 2  0.257551633 2.761248 -0.148799590
Jul 2  0.296889667 2.779013  0.064097767
Aug 2  0.065674412 2.764863  0.279462818
Sep 2 -0.007540997 2.750713  0.416828024
Oct 2 -0.042954345 2.693737 -0.180782575
Nov 2 -0.264367000 2.636761  0.197606133
Dec 2 -0.356837165 2.541599  0.705238146
Jan 3 -0.026056506 2.446437  0.209619334
Feb 3 -0.091441321 2.313941  0.157499902
Mar 3 -0.064826435 2.181446 -0.426619231
Apr 3  0.005693772 2.049922 -0.095615350
May 3  0.228213603 1.918397  0.043388908
Jun 3  0.257551633 1.824180 -0.211731367
Jul 3  0.296889667 1.729962 -0.426851646
Aug 3  0.065674412 1.688312 -0.123986752
Sep 3 -0.007540997 1.646663 -0.419121703
Oct 3 -0.042954345 1.629049 -0.376094971
Nov 3 -0.264367000 1.611436  0.142931068
Dec 3 -0.356837165 1.587065  0.409771839
Jan 4 -0.026056506 1.562695  0.123361785
Feb 4 -0.091441321 1.547778  0.313663101
Mar 4 -0.064826435 1.532862  0.351964715
Apr 4  0.005693772 1.569526  0.204779930
May 4  0.228213603 1.606191 -0.554404479
Jun 4  0.257551633 1.713269 -0.680820307
Jul 4  0.296889667 1.820346 -0.747236140
Aug 4  0.065674412 2.006289 -0.951963496
Sep 4 -0.007540997 2.192232 -0.674690698
Oct 4 -0.042954345 2.466838 -0.183883194
Nov 4 -0.264367000 2.741443  0.462923617
Dec 4 -0.356837165 3.094942  0.351895638
Jan 5 -0.026056506 3.448440  0.037616834
Feb 5 -0.091441321 3.786325 -0.054884021
Mar 5 -0.064826435 4.124211  0.330615423
Apr 5  0.005693772 4.235049 -0.090743142
May 5  0.228213603 4.345888  0.635898670
Jun 5  0.257551633 4.409837  1.132611375
Jul 5  0.296889667 4.473786  1.139324074
Aug 5  0.065674412 4.527734  0.796591949
Sep 5 -0.007540997 4.581681  0.885859978
Oct 5 -0.042954345 4.615665  0.147289473
Nov 5 -0.264367000 4.649649 -1.245281725
Dec 5 -0.356837165 4.661234 -1.674397251
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/11trq1259865643.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2q6oj1259865643.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/385vk1259865643.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/4nyp81259865644.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5cva61259865644.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/67zhi1259865644.tab") 
> system("convert tmp/11trq1259865643.ps tmp/11trq1259865643.png")
> system("convert tmp/2q6oj1259865643.ps tmp/2q6oj1259865643.png")
> system("convert tmp/385vk1259865643.ps tmp/385vk1259865643.png")
> system("convert tmp/4nyp81259865644.ps tmp/4nyp81259865644.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.973   0.605   1.134