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(96.96,93.11,95.62,98.30,96.38,100.82,99.06,94.03,102.07,99.31,98.64,101.82,99.14,97.63,100.06,101.32,101.49,105.43,105.09,99.48,108.53,104.34,106.10,107.35,103.00,104.50,105.17,104.84,106.18,108.86,107.77,102.74,112.63,106.26,108.86,111.38,106.85,107.86,107.94,111.38,111.29,113.72,111.88,109.87,113.72,111.71,114.81,112.05,111.54,110.87,110.87,115.48,111.63,116.24,113.56,106.01,110.45,107.77,108.61,108.19)
> 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 -1.5322816  96.59047  1.9018114
Feb 1 -2.4806779  96.84620 -1.2555223
Mar 1 -1.5870759  97.10193  0.1051457
Apr 1  0.5989011  97.36784  0.3332580
May 1 -0.4171186  97.63375 -0.8366329
Jun 1  3.0713496  97.90621 -0.1575576
Jul 1  1.3978192  98.17866 -0.5164837
Aug 1 -3.7767872  98.46093 -0.6541399
Sep 1  3.1486064  98.74319  0.1782038
Oct 1 -0.6015429  99.08955  0.8219950
Nov 1  0.7763101  99.43591 -1.5722162
Dec 1  1.4024966  99.84717  0.5703319
Jan 2 -1.5322816 100.25844  0.4138446
Feb 2 -2.4806779 100.72544 -0.6147583
Mar 2 -1.5870759 101.19244  0.4546405
Apr 2  0.5989011 101.69376 -0.9726586
May 2 -0.4171186 102.19508 -0.2879608
Jun 2  3.0713496 102.68964 -0.3309924
Jul 2  1.3978192 103.18421  0.5079746
Aug 2 -3.7767872 103.64303 -0.3862456
Sep 2  3.1486064 104.10186  1.2795342
Oct 2 -0.6015429 104.48627  0.4552757
Nov 2  0.7763101 104.87068  0.4530148
Dec 2  1.4024966 105.15534  0.7921620
Jan 3 -1.5322816 105.44001 -0.9077262
Feb 3 -2.4806779 105.67572  1.3049561
Mar 3 -1.5870759 105.91144  0.8456400
Apr 3  0.5989011 106.14888 -1.9077849
May 3 -0.4171186 106.38633  0.2107870
Jun 3  3.0713496 106.66497 -0.8763236
Jul 3  1.3978192 106.94362 -0.5714356
Aug 3 -3.7767872 107.27754 -0.7607482
Sep 3  3.1486064 107.61145  1.8699391
Oct 3 -0.6015429 108.01727 -1.1557275
Nov 3  0.7763101 108.42309 -0.3393963
Dec 3  1.4024966 108.84274  1.1347603
Jan 4 -1.5322816 109.26240 -0.8801183
Feb 4 -2.4806779 109.64779  0.6928894
Mar 4 -1.5870759 110.03318 -0.5061012
Apr 4  0.5989011 110.38355  0.3975491
May 4 -0.4171186 110.73392  0.9731962
Jun 4  3.0713496 111.03937 -0.3907174
Jul 4  1.3978192 111.34481 -0.8626324
Aug 4 -3.7767872 111.60796  2.0388254
Sep 4  3.1486064 111.87111 -1.2997168
Oct 4 -0.6015429 112.09109  0.2204536
Nov 4  0.7763101 112.31107  1.7226217
Dec 4  1.4024966 112.43160 -1.7841015
Jan 5 -1.5322816 112.55214  0.5201400
Feb 5 -2.4806779 112.44872  0.9019586
Mar 5 -1.5870759 112.34530  0.1117789
Apr 5  0.5989011 111.86821  3.0128843
May 5 -0.4171186 111.39113  0.6559864
Jun 5  3.0713496 110.90455  2.2641027
Jul 5  1.3978192 110.41796  1.7442176
Aug 5 -3.7767872 109.90170 -0.1149088
Sep 5  3.1486064 109.38543 -2.0840351
Oct 5 -0.6015429 108.82373 -0.4521865
Nov 5  0.7763101 108.26203 -0.4283401
Dec 5  1.4024966 107.66824 -0.8807352
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1yjpy1259860842.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2071n1259860842.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3abyq1259860842.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/4wjuw1259860842.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5ab4z1259860842.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6k1y61259860842.tab") 
> system("convert tmp/1yjpy1259860842.ps tmp/1yjpy1259860842.png")
> system("convert tmp/2071n1259860842.ps tmp/2071n1259860842.png")
> system("convert tmp/3abyq1259860842.ps tmp/3abyq1259860842.png")
> system("convert tmp/4wjuw1259860842.ps tmp/4wjuw1259860842.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.957   0.623   1.132