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(33,24,24,31,25,28,24,25,16,17,11,12,39,19,14,15,7,12,12,14,9,8,4,7,3,5,0,-2,6,11,9,17,21,21,41,57,65,68,73,71,71,70,69,65,57,57,57,55,65,65,64,60,43,47,40,31,27,24,23,17)
> 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  9.2082580 25.254582  -1.46284011
Feb 1  4.3150379 24.888204  -5.20324172
Mar 1  3.0218161 24.521826  -3.54364162
Apr 1  3.0749374 24.074001   3.85106210
May 1 -1.4719328 23.626176   2.84575732
Jun 1  1.7778387 23.136085   3.08607656
Jul 1 -0.9723875 22.645994   2.32639359
Aug 1 -1.3545029 22.147180   4.20732330
Sep 1 -5.7366195 21.648365   0.08825418
Oct 1 -6.1872676 20.710564   2.47670333
Nov 1 -4.2379095 19.772763  -4.53485367
Dec 1 -1.4372731 18.466939  -5.02966634
Jan 2  9.2082580 17.161116  12.63062627
Feb 2  4.3150379 16.192895  -1.50793315
Mar 2  3.0218161 15.224675  -4.24649087
Apr 2  3.0749374 14.492892  -2.56782962
May 2 -1.4719328 13.761110  -5.28917686
Jun 2  1.7778387 12.765826  -2.54366501
Jul 2 -0.9723875 11.770543   1.20184462
Aug 2 -1.3545029 10.465812   4.88869078
Sep 2 -5.7366195  9.161081   5.57553811
Oct 2 -6.1872676  8.088581   6.09868613
Nov 2 -4.2379095  7.016082   1.22182801
Dec 2 -1.4372731  6.391535   2.04573788
Jan 3  9.2082580  5.766989 -11.97524697
Feb 3  4.3150379  5.967182  -5.28221960
Mar 3  3.0218161  6.167374  -9.18919052
Apr 3  3.0749374  8.002071 -13.07700829
May 3 -1.4719328  9.836767  -2.36483455
Jun 3  1.7778387 13.847726  -4.62556455
Jul 3 -0.9723875 17.858684  -7.88629678
Aug 3 -1.3545029 23.453955  -5.09945172
Sep 3 -5.7366195 29.049225  -2.31260548
Oct 3 -6.1872676 35.032586  -7.84531884
Nov 3 -4.2379095 41.015948   4.22196167
Dec 3 -1.4372731 46.398230  12.03904316
Jan 4  9.2082580 51.780512   4.01122993
Feb 4  4.3150379 55.850114   7.83484812
Mar 4  3.0218161 59.919716  10.05846801
Apr 4  3.0749374 62.145414   5.77964882
May 4 -1.4719328 64.371112   8.10082113
Jun 4  1.7778387 64.791545   3.43061616
Jul 4 -0.9723875 65.211979   4.76040897
Aug 4 -1.3545029 64.612882   1.74162079
Sep 4 -5.7366195 64.013786  -1.27716621
Oct 4 -6.1872676 62.709978   0.47728929
Nov 4 -4.2379095 61.406171  -0.16826136
Dec 4 -1.4372731 59.466413  -3.02913942
Jan 5  9.2082580 57.526654  -1.73491221
Feb 5  4.3150379 55.070619   5.61434285
Mar 5  3.0218161 52.614584   8.36359962
Apr 5  3.0749374 49.446330   7.47873296
May 5 -1.4719328 46.278075  -1.80614219
Jun 5  1.7778387 43.013398   2.20876340
Jul 5 -0.9723875 39.748721   1.22366676
Aug 5 -1.3545029 36.377246  -4.02274298
Sep 5 -5.7366195 33.005771  -0.26915154
Oct 5 -6.1872676 29.536398   0.65086937
Nov 5 -4.2379095 26.067025   1.17088414
Dec 5 -1.4372731 22.537196  -4.09992319
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1clyf1291833070.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2clyf1291833070.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/35ufi1291833070.ps",horizontal=F,onefile=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/45ufi1291833070.ps",horizontal=F,onefile=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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5j4dr1291833070.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/645tf1291833070.tab") 
> 
> try(system("convert tmp/1clyf1291833070.ps tmp/1clyf1291833070.png",intern=TRUE))
character(0)
> try(system("convert tmp/2clyf1291833070.ps tmp/2clyf1291833070.png",intern=TRUE))
character(0)
> try(system("convert tmp/35ufi1291833070.ps tmp/35ufi1291833070.png",intern=TRUE))
character(0)
> try(system("convert tmp/45ufi1291833070.ps tmp/45ufi1291833070.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.993   0.657   4.173