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(3.2,1.9,0,0.6,0.2,0.9,2.4,4.7,9.4,12.5,15.8,18.2,16.8,17.3,19.3,17.9,20.2,18.7,20.1,18.2,18.4,18.2,18.9,19.9,21.3,20,19.5,19.6,20.9,21,19.9,19.6,20.9,21.7,22.9,21.5,21.3,23.5,21.6,24.5,22.2,23.5,20.9,20.7,18.1,17.1,14.8,13.8,15.2,16,17.6,15,15,16.3,19.4,21.3,20.5,21.1,21.6,22.6)
> 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  0.95643533 -2.1648370  4.40840166
Feb 1  0.61196032 -0.7899299  2.07796962
Mar 1 -0.05251487  0.5849771 -0.53246223
Apr 1 -0.54924605  2.0087515 -0.85950549
May 1 -0.78597752  3.4325260 -2.44654845
Jun 1 -0.67748490  4.8643848 -3.28689986
Jul 1 -0.48899340  6.2962435 -3.40725014
Aug 1 -0.37528890  7.7170118 -2.64172290
Sep 1 -0.06158394  9.1377801  0.32380387
Oct 1  0.25270214 10.7327457  1.51455213
Nov 1  0.58698826 12.3277114  2.88530036
Dec 1  0.58300385 13.8242790  3.79271713
Jan 2  0.95643533 15.3208467  0.52271802
Feb 2  0.61196032 16.3703344  0.31770524
Mar 2 -0.05251487 17.4198222  1.93269265
Apr 2 -0.54924605 17.9375792  0.51166683
May 2 -0.78597752 18.4553362  2.53064131
Jun 2 -0.67748490 18.6920115  0.68547337
Jul 2 -0.48899340 18.9286868  1.66030656
Aug 2 -0.37528890 19.0626743 -0.48738542
Sep 2 -0.06158394 19.1966618 -0.73507785
Oct 2  0.25270214 19.2812487 -1.33395082
Nov 2  0.58698826 19.3658356 -1.05282381
Dec 2  0.58300385 19.4832561 -0.16625996
Jan 3  0.95643533 19.6006767  0.74288801
Feb 3  0.61196032 19.7837873 -0.39574762
Mar 3 -0.05251487 19.9668979 -0.41438307
Apr 3 -0.54924605 20.1910156 -0.04176951
May 3 -0.78597752 20.4151332  1.27084434
Jun 3 -0.67748490 20.6001514  1.07733353
Jul 3 -0.48899340 20.7851696 -0.39617616
Aug 3 -0.37528890 20.9563776 -0.98108870
Sep 3 -0.06158394 21.1275857 -0.16600171
Oct 3  0.25270214 21.3395040  0.10779383
Nov 3  0.58698826 21.5514224  0.76158935
Dec 3  0.58300385 21.7432311 -0.82623495
Jan 4  0.95643533 21.9350398 -1.59147515
Feb 4  0.61196032 21.9590232  0.92901649
Mar 4 -0.05251487 21.9830066 -0.33049168
Apr 4 -0.54924605 21.6694273  3.37981875
May 4 -0.78597752 21.3558480  1.63012948
Jun 4 -0.67748490 20.7563977  3.42108718
Jul 4 -0.48899340 20.1569474  1.23204600
Aug 4 -0.37528890 19.4582423  1.61704658
Sep 4 -0.06158394 18.7595372 -0.59795329
Oct 4  0.25270214 18.0760066 -1.22870871
Nov 4  0.58698826 17.3924759 -3.17946416
Dec 4  0.58300385 16.9651625 -3.74816638
Jan 5  0.95643533 16.5378492 -2.29428448
Feb 5  0.61196032 16.5795964 -1.19155673
Mar 5 -0.05251487 16.6213437  1.03117121
Apr 5 -0.54924605 17.1902470 -1.64100099
May 5 -0.78597752 17.7591504 -1.97317289
Jun 5 -0.67748490 18.3344413 -1.35695643
Jul 5 -0.48899340 18.9097322  0.97926116
Aug 5 -0.37528890 19.5198876  2.15540129
Sep 5 -0.06158394 20.1300430  0.43154098
Oct 5  0.25270214 20.7683342  0.07896369
Nov 5  0.58698826 21.4066254 -0.39361361
Dec 5  0.58300385 22.0567016 -0.03970541
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1d6di1259947468.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2ql201259947468.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3lpj91259947468.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/4n7kn1259947468.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5jmgv1259947468.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6kmpz1259947468.tab") 
> system("convert tmp/1d6di1259947468.ps tmp/1d6di1259947468.png")
> system("convert tmp/2ql201259947468.ps tmp/2ql201259947468.png")
> system("convert tmp/3lpj91259947468.ps tmp/3lpj91259947468.png")
> system("convert tmp/4n7kn1259947468.ps tmp/4n7kn1259947468.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.955   0.613   1.157