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(16.2,16.7,18.4,16,16.5,18.2,16.8,17.3,18,19.6,23.3,23.7,20.3,22.8,24.3,21.5,23.5,22.2,20.9,22.2,19.5,21.1,22,19.2,17.8,19.2,19.9,19.6,18.1,20.4,18.1,18.6,17.6,19.4,19.3,18.6,16.9,16.4,19,18.7,17.1,21.5,17.8,18.1,19,18.9,16.8,18.1,15.7,15.1,18.3,16.5,16.9,18.4,16.4,15.7,16.9,16.6,16.7,16.6)
> 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 -1.2407906 15.88788  1.552910633
Feb 1 -0.6456287 16.31179  1.033833943
Mar 1  1.2295320 16.73571  0.434758468
Apr 1 -0.3297262 17.18666 -0.856933502
May 1 -0.4089856 17.63761 -0.728624284
Jun 1  1.3180134 18.09992 -1.217932700
Jul 1 -0.8149881 18.56223 -0.947240580
Aug 1 -0.4035568 19.02306 -1.319507650
Sep 1 -0.5521269 19.48390 -0.931773335
Oct 1  0.3888874 20.00539 -0.794279791
Nov 1  0.9099002 20.52688  1.863215256
Dec 1  0.5494702 20.98336  2.167166787
Jan 2 -1.2407906 21.43984  0.100949181
Feb 2 -0.6456287 21.70840  1.737231993
Mar 2  1.2295320 21.97695  1.093516022
Apr 2 -0.3297262 21.99080 -0.161078158
May 2 -0.4089856 22.00466  1.904328852
Jun 2  1.3180134 21.78549 -0.903503787
Jul 2 -0.8149881 21.56632  0.148664110
Aug 2 -0.4035568 21.26087  1.342686135
Sep 2 -0.5521269 20.95542 -0.903290454
Oct 2  0.3888874 20.64806  0.063050766
Nov 2  0.9099002 20.34071  0.749393489
Dec 2  0.5494702 20.07468 -1.424146451
Jan 3 -1.2407906 19.80865 -0.767855529
Feb 3 -0.6456287 19.59274  0.252889249
Mar 3  1.2295320 19.37683 -0.706364757
Apr 3 -0.3297262 19.22215  0.707575932
May 3 -0.4089856 19.06747 -0.558482190
Jun 3  1.3180134 18.94580  0.136187276
Jul 3 -0.8149881 18.82413  0.090857279
Aug 3 -0.4035568 18.70373  0.299822265
Sep 3 -0.5521269 18.58334 -0.431211364
Oct 3  0.3888874 18.49074  0.520371606
Nov 3  0.9099002 18.39814 -0.008043922
Dec 3  0.5494702 18.37170 -0.321172811
Jan 4 -1.2407906 18.34526 -0.204470838
Feb 4 -0.6456287 18.36043 -1.314804777
Mar 4  1.2295320 18.37561 -0.605137501
Apr 4 -0.3297262 18.36747  0.662252674
May 4 -0.4089856 18.35934 -0.850355962
Jun 4  1.3180134 18.29759  1.884393537
Jul 4 -0.8149881 18.23584  0.379143572
Aug 4 -0.4035568 18.12063  0.382928156
Sep 4 -0.5521269 18.00541  1.546714126
Oct 4  0.3888874 17.84810  0.663015646
Nov 4  0.9099002 17.69078 -1.800681331
Dec 4  0.5494702 17.51378  0.036750408
Jan 5 -1.2407906 17.33678 -0.395986991
Feb 5 -0.6456287 17.18241 -1.436783577
Mar 5  1.2295320 17.02805  0.042421053
Apr 5 -0.3297262 16.93482 -0.105089610
May 5 -0.4089856 16.84158  0.467400916
Jun 5  1.3180134 16.75049  0.331498377
Jul 5 -0.8149881 16.65939  0.555596374
Aug 5 -0.4035568 16.57500 -0.471447283
Sep 5 -0.5521269 16.49062  0.961510446
Oct 5  0.3888874 16.40671 -0.195593829
Nov 5  0.9099002 16.32280 -0.532696601
Dec 5  0.5494702 16.23557 -0.185036122
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1oczm1260986031.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/22cn31260986031.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3e2c21260986031.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/4w9tm1260986031.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5oikx1260986031.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6ckhw1260986031.tab") 
> try(system("convert tmp/1oczm1260986031.ps tmp/1oczm1260986031.png",intern=TRUE))
character(0)
> try(system("convert tmp/22cn31260986031.ps tmp/22cn31260986031.png",intern=TRUE))
character(0)
> try(system("convert tmp/3e2c21260986031.ps tmp/3e2c21260986031.png",intern=TRUE))
character(0)
> try(system("convert tmp/4w9tm1260986031.ps tmp/4w9tm1260986031.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.982   0.632   1.170