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(14.9,18.6,19.1,18.8,18.2,18,19,20.7,21.2,20.7,19.6,18.6,18.7,23.8,24.9,24.8,23.8,22.3,21.7,20.7,19.7,18.4,17.4,17,18,23.8,25.5,25.6,23.7,22,21.3,20.7,20.4,20.3,20.4,19.8,19.5,23.1,23.5,23.5,22.9,21.9,21.5,20.5,20.2,19.4,19.2,18.8,18.8,22.6,23.3,23,21.4,19.9,18.8,18.6,18.4,18.6,19.9,19.2,18.4)
> 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 -2.1791726 15.89579  1.18337822
Feb 1  2.0694673 16.43811  0.09242487
Mar 1  2.8503675 16.98042 -0.73078875
Apr 1  2.6500956 17.50493 -1.35502693
May 1  1.4298234 18.02944 -1.25926483
Jun 1  0.1790853 18.52611 -0.70519863
Jul 1 -0.2516528 19.02279  0.22886754
Aug 1 -0.5281403 19.51355  1.71459220
Sep 1 -0.8446272 20.00431  2.04031641
Oct 1 -1.4086954 20.48708  1.62161342
Nov 1 -1.6527635 20.96985  0.28291039
Dec 1 -2.3137873 21.25179 -0.33800336
Jan 2 -2.1791726 21.53373 -0.65455569
Feb 2  2.0694673 21.58825  0.14227977
Mar 2  2.8503675 21.64278  0.40685496
Apr 2  2.6500956 21.54173  0.60817818
May 2  1.4298234 21.44067  0.92950168
Jun 2  0.1790853 21.30368  0.81723458
Jul 2 -0.2516528 21.16669  0.78496745
Aug 2 -0.5281403 21.08204  0.14610211
Sep 2 -0.8446272 20.99739 -0.45276369
Oct 2 -1.4086954 20.98835 -1.17965360
Nov 2 -1.6527635 20.97931 -1.92654355
Dec 2 -2.3137873 21.01840 -1.70461240
Jan 3 -2.1791726 21.05749 -0.87831983
Feb 3  2.0694673 21.14840  0.58212779
Mar 3  2.8503675 21.23932  1.41031514
Apr 3  2.6500956 21.39353  1.55637570
May 3  1.4298234 21.54774  0.72243655
Jun 3  0.1790853 21.66660  0.15431507
Jul 3 -0.2516528 21.78546 -0.23380645
Aug 3 -0.5281403 21.75727 -0.52912505
Sep 3 -0.8446272 21.72907 -0.48444412
Oct 3 -1.4086954 21.63305  0.07564495
Nov 3 -1.6527635 21.53703  0.51573398
Dec 3 -2.3137873 21.49388  0.61990262
Jan 4 -2.1791726 21.45074  0.22843268
Feb 4  2.0694673 21.42636 -0.39582408
Mar 4  2.8503675 21.40197 -0.75234111
Apr 4  2.6500956 21.34486 -0.49495907
May 4  1.4298234 21.28775  0.18242325
Jun 4  0.1790853 21.22710  0.49381537
Jul 4 -0.2516528 21.16645  0.58520744
Aug 4 -0.5281403 21.12095 -0.09280850
Sep 4 -0.8446272 21.07545 -0.03082491
Oct 4 -1.4086954 20.99595 -0.18725181
Nov 4 -1.6527635 20.91644 -0.06367874
Dec 4 -2.3137873 20.77183  0.34195242
Jan 5 -2.1791726 20.62723  0.35194500
Feb 5  2.0694673 20.46838  0.06215731
Mar 5  2.8503675 20.30952  0.14010934
Apr 5  2.6500956 20.24942  0.10047975
May 5  1.4298234 20.18933 -0.21914956
Jun 5  0.1790853 20.20885 -0.48793289
Jul 5 -0.2516528 20.22837 -1.17671626
Aug 5 -0.5281403 20.24377 -1.11562603
Sep 5 -0.8446272 20.25916 -1.01453627
Oct 5 -1.4086954 20.28514 -0.27644791
Nov 5 -1.6527635 20.31112  1.24164041
Dec 5 -2.3137873 20.35939  1.15439462
Jan 6 -2.1791726 20.40766  0.17151024
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/14mww1259953114.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/22r2m1259953114.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3nseo1259953114.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/4kbws1259953114.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5jh0y1259953114.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6btq81259953114.tab") 
> system("convert tmp/14mww1259953114.ps tmp/14mww1259953114.png")
> system("convert tmp/22r2m1259953114.ps tmp/22r2m1259953114.png")
> system("convert tmp/3nseo1259953114.ps tmp/3nseo1259953114.png")
> system("convert tmp/4kbws1259953114.ps tmp/4kbws1259953114.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.991   0.631   1.247