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(149,139,135,130,127,122,117,112,113,149,157,157,147,137,132,125,123,117,114,111,112,144,150,149,134,123,116,117,111,105,102,95,93,124,130,124,115,106,105,105,101,95,93,84,87,116,120,117,109,105,107,109,109,108,107,99,103,131,137,135)
> 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  10.4079880 134.9250  3.6669839
Feb 1   1.8736978 134.6702  2.4560562
Mar 1  -0.8605927 134.4155  1.4451289
Apr 1  -2.3989981 134.2262 -1.8271524
May 1  -5.1374052 134.0368 -1.8994319
Jun 1  -9.6655992 133.8684 -2.2028453
Jul 1 -12.1937915 133.7001 -4.5062603
Aug 1 -18.3969437 133.5070 -3.1100641
Sep 1 -16.8000971 133.3140 -3.5138665
Oct 1  14.4758323 133.1898  1.3343828
Nov 1  20.5517616 133.0656  3.3826323
Dec 1  18.1441468 132.8088  6.0470519
Jan 2  10.4079880 132.5520  4.0400155
Feb 2   1.8736978 132.1681  2.9582262
Mar 2  -0.8605927 131.7842  1.0764372
Apr 2  -2.3989981 131.2228 -3.8238085
May 2  -5.1374052 130.6615 -2.5240526
Jun 2  -9.6655992 129.9276 -3.2619658
Jul 2 -12.1937915 129.1937 -2.9998808
Aug 2 -18.3969437 128.3441  1.0528568
Sep 2 -16.8000971 127.4945  1.3055957
Oct 2  14.4758323 126.5740  2.9501822
Nov 2  20.5517616 125.6535  3.7947688
Dec 2  18.1441468 124.5428  6.3130654
Jan 3  10.4079880 123.4321  0.1599061
Feb 3   1.8736978 121.9904 -0.8641398
Mar 3  -0.8605927 120.5488 -3.6881853
Apr 3  -2.3989981 118.8647  0.5342739
May 3  -5.1374052 117.1807 -1.0432652
Jun 3  -9.6655992 115.5191 -0.8534845
Jul 3 -12.1937915 113.8575  0.3362946
Aug 3 -18.3969437 112.4918  0.9051773
Sep 3 -16.8000971 111.1260 -1.3259387
Oct 3  14.4758323 110.0770 -0.5528197
Nov 3  20.5517616 109.0279  0.4202994
Dec 3  18.1441468 108.1934 -2.3375297
Jan 4  10.4079880 107.3588 -2.7668148
Feb 4   1.8736978 106.6714 -2.5451200
Mar 4  -0.8605927 105.9840 -0.1234248
Apr 4  -2.3989981 105.3831  2.0159254
May 4  -5.1374052 104.7821  1.3552773
Jun 4  -9.6655992 104.2363  0.4293486
Jul 4 -12.1937915 103.6904  1.5034182
Aug 4 -18.3969437 103.4053 -1.0083744
Sep 4 -16.8000971 103.1203  0.6798343
Oct 4  14.4758323 103.3636 -1.8394460
Nov 4  20.5517616 103.6070 -4.1587262
Dec 4  18.1441468 104.5237 -5.6678367
Jan 5  10.4079880 105.4404 -6.8484031
Feb 5   1.8736978 106.8446 -3.7183100
Mar 5  -0.8605927 108.2488 -0.3882165
Apr 5  -2.3989981 109.7414  1.6576189
May 5  -5.1374052 111.2339  2.9034559
Jun 5  -9.6655992 112.6804  4.9852017
Jul 5 -12.1937915 114.1268  5.0669457
Aug 5 -18.3969437 115.5878  1.8091627
Sep 5 -16.8000971 117.0487  2.7513809
Oct 5  14.4758323 118.4597 -1.9355742
Nov 5  20.5517616 119.8708 -3.4225291
Dec 5  18.1441468 121.2139 -4.3580547
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1u7nj1259672093.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2fb2f1259672093.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/35qnk1259672093.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/4p9wu1259672093.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5jxol1259672093.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/65r1i1259672093.tab") 
> system("convert tmp/1u7nj1259672093.ps tmp/1u7nj1259672093.png")
> system("convert tmp/2fb2f1259672093.ps tmp/2fb2f1259672093.png")
> system("convert tmp/35qnk1259672093.ps tmp/35qnk1259672093.png")
> system("convert tmp/4p9wu1259672093.ps tmp/4p9wu1259672093.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.943   0.593   1.175