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(8,8.1,7.7,7.5,7.6,7.8,7.8,7.8,7.5,7.5,7.1,7.5,7.5,7.6,7.7,7.7,7.9,8.1,8.2,8.2,8.2,7.9,7.3,6.9,6.6,6.7,6.9,7,7.1,7.2,7.1,6.9,7,6.8,6.4,6.7,6.6,6.4,6.3,6.2,6.5,6.8,6.8,6.4,6.1,5.8,6.1,7.2,7.3,6.9,6.1,5.8,6.2,7.1,7.7,7.9,7.7,7.4,7.5,8,8.1)
> 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  0.03480090 7.937498  0.027700988
Feb 1 -0.03710175 7.887921  0.249181233
Mar 1 -0.22752060 7.838343  0.089177675
Apr 1 -0.32671867 7.794370  0.032348236
May 1 -0.10591691 7.750398 -0.044481028
Jun 1  0.22925798 7.711442 -0.140699494
Jul 1  0.34443291 7.672485 -0.216917984
Aug 1  0.26554377 7.636317 -0.101860654
Sep 1  0.12665489 7.600149 -0.226803585
Oct 1 -0.09112462 7.593436 -0.002311810
Nov 1 -0.28890415 7.586724 -0.197820022
Dec 1  0.07659654 7.620445 -0.197041160
Jan 2  0.03480090 7.654165 -0.188965961
Feb 2 -0.03710175 7.698371 -0.061269565
Mar 2 -0.22752060 7.742578  0.184943028
Apr 2 -0.32671867 7.774415  0.252303359
May 2 -0.10591691 7.806253  0.199663864
Jun 2  0.22925798 7.783727  0.087014814
Jul 2  0.34443291 7.761201  0.094365738
Aug 2  0.26554377 7.688079  0.246376907
Sep 2  0.12665489 7.614957  0.458387815
Oct 2 -0.09112462 7.529911  0.461213520
Nov 2 -0.28890415 7.444865  0.144039237
Dec 2  0.07659654 7.356588 -0.533185016
Jan 3  0.03480090 7.268312 -0.703112932
Feb 3 -0.03710175 7.175920 -0.438818134
Mar 3 -0.22752060 7.083528  0.043992862
Apr 3 -0.32671867 7.015081  0.311637536
May 3 -0.10591691 6.946635  0.259282384
Jun 3  0.22925798 6.911904  0.058837825
Jul 3  0.34443291 6.877174 -0.121606760
Aug 3  0.26554377 6.839766 -0.205310063
Sep 3  0.12665489 6.802359  0.070986373
Oct 3 -0.09112462 6.752900  0.138224419
Nov 3 -0.28890415 6.703442 -0.014537522
Dec 3  0.07659654 6.663285 -0.039882043
Jan 4  0.03480090 6.623129 -0.057930226
Feb 4 -0.03710175 6.577627 -0.140525074
Mar 4 -0.22752060 6.532124 -0.004603725
Apr 4 -0.32671867 6.486556  0.040162879
May 4 -0.10591691 6.440987  0.164929658
Jun 4  0.22925798 6.439935  0.130807500
Jul 4  0.34443291 6.438882  0.016685317
Aug 4  0.26554377 6.458816 -0.324359506
Sep 4  0.12665489 6.478750 -0.505404590
Oct 4 -0.09112462 6.485193 -0.594068423
Nov 4 -0.28890415 6.491636 -0.102732245
Dec 4  0.07659654 6.525513  0.597890870
Jan 5  0.03480090 6.559389  0.705810322
Feb 5 -0.03710175 6.650270  0.286831261
Mar 5 -0.22752060 6.741152 -0.413631604
Apr 5 -0.32671867 6.855934 -0.729215524
May 5 -0.10591691 6.970716 -0.664799270
Jun 5  0.22925798 7.090200 -0.219457809
Jul 5  0.34443291 7.209683  0.145883626
Aug 5  0.26554377 7.334279  0.300177499
Sep 5  0.12665489 7.458874  0.114471111
Oct 5 -0.09112462 7.590661 -0.099536597
Nov 5 -0.28890415 7.722448  0.066455708
Dec 5  0.07659654 7.859924  0.063479136
Jan 6  0.03480090 7.997400  0.067798901
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1k8uh1259940641.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2l0lp1259940641.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3d7uf1259940641.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/45p6m1259940641.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5yw011259940641.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/64alk1259940641.tab") 
> system("convert tmp/1k8uh1259940641.ps tmp/1k8uh1259940641.png")
> system("convert tmp/2l0lp1259940641.ps tmp/2l0lp1259940641.png")
> system("convert tmp/3d7uf1259940641.ps tmp/3d7uf1259940641.png")
> system("convert tmp/45p6m1259940641.ps tmp/45p6m1259940641.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.952   0.611   1.128