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(102.1,102.86,102.99,103.73,105.02,104.43,104.63,104.93,105.87,105.66,106.76,106,107.22,107.33,107.11,108.86,107.72,107.88,108.38,107.72,108.41,109.9,111.45,112.18,113.34,113.46,114.06,115.54,116.39,115.94,116.97,115.94,115.91,116.43,116.26,116.35,117.9,117.7,117.53,117.86,117.65,116.51,115.93,115.31,115)
> 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  0.30636470 102.1757 -0.38210412
Feb 1  0.20755632 102.6131  0.03931288
Mar 1 -0.00375183 103.0505 -0.05677035
Apr 1  0.80624954 103.4768 -0.55305628
May 1  0.73874988 103.9031  0.37815882
Jun 1 -0.01806852 104.3184  0.12971142
Jul 1  0.01761322 104.7336 -0.12123612
Aug 1 -0.74262547 105.1418  0.53085664
Sep 1 -0.67786375 105.5499  0.99794899
Oct 1 -0.37816354 105.9096  0.12852437
Nov 1  0.03958579 106.2694  0.45105063
Dec 1 -0.29564743 106.5444 -0.24870820
Jan 2  0.30636470 106.8193  0.09428762
Feb 2  0.20755632 107.0718  0.05068814
Mar 2 -0.00375183 107.3242 -0.21041157
Apr 2  0.80624954 107.6426  0.41117837
May 2  0.73874988 107.9610 -0.97973067
Jun 2 -0.01806852 108.4059 -0.50785575
Jul 2  0.01761322 108.8509 -0.48848098
Aug 2 -0.74262547 109.3993 -0.93666656
Sep 2 -0.67786375 109.9477 -0.85985255
Oct 2 -0.37816354 110.5833 -0.30518373
Nov 2  0.03958579 111.2190  0.19143597
Dec 2 -0.29564743 111.9176  0.55805431
Jan 3  0.30636470 112.6162  0.41742731
Feb 3  0.20755632 113.2831 -0.03064683
Mar 3 -0.00375183 113.9500  0.11377880
Apr 3  0.80624954 114.4846  0.24912047
May 3  0.73874988 115.0193  0.63196318
Jun 3 -0.01806852 115.4162  0.54183938
Jul 3  0.01761322 115.8132  1.13921546
Aug 3 -0.74262547 116.1166  0.56605412
Sep 3 -0.67786375 116.4200  0.16789238
Oct 3 -0.37816354 116.6045  0.20370919
Nov 3  0.03958579 116.7889 -0.56852312
Dec 3 -0.29564743 116.8062 -0.16053748
Jan 4  0.30636470 116.8234  0.77020282
Feb 4  0.20755632 116.7626  0.72987754
Mar 4 -0.00375183 116.7017  0.83205204
Apr 4  0.80624954 116.6388  0.41497093
May 4  0.73874988 116.5759  0.33539085
Jun 4 -0.01806852 116.5023  0.02581207
Jul 4  0.01761322 116.4287 -0.51626684
Aug 4 -0.74262547 116.3390 -0.28636978
Sep 4 -0.67786375 116.2493 -0.57147313
> m$win
  s   t   l 
451  19  13 
> m$deg
s t l 
0 1 1 
> m$jump
 s  t  l 
46  2  2 
> m$inner
[1] 2
> m$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1gkn71260548419.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2zajq1260548419.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3r1tn1260548419.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/45y1w1260548419.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5uk8a1260548419.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6vk4a1260548419.tab") 
> 
> system("convert tmp/1gkn71260548419.ps tmp/1gkn71260548419.png")
> system("convert tmp/2zajq1260548419.ps tmp/2zajq1260548419.png")
> system("convert tmp/3r1tn1260548419.ps tmp/3r1tn1260548419.png")
> system("convert tmp/45y1w1260548419.ps tmp/45y1w1260548419.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.911   0.603   1.943