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(1901,1395,1639,1643,1751,1797,1373,1558,1555,2061,2010,2119,1985,1963,2017,1975,1589,1679,1392,1511,1449,1767,1899,2179,2217,2049,2343,2175,1607,1702,1764,1766,1615,1953,2091,2411,2550,2351,2786,2525,2474,2332,1978,1789,1904,1997,2207,2453,1948,1384,1989,2140,2100,2045,2083,2022,1950,1422,1859,2147)
> 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  218.21390 1519.375  163.410899
Feb 1  -85.64879 1556.677  -76.028671
Mar 1  228.68823 1593.980 -183.667953
Apr 1  160.27487 1629.294 -146.568420
May 1  -32.33859 1664.607  118.731213
Jun 1  -27.64047 1697.724  126.916826
Jul 1 -222.74233 1730.840 -135.097575
Aug 1 -214.79033 1763.266    9.524653
Sep 1 -252.63829 1795.691   11.946853
Oct 1 -114.77102 1819.306  356.465467
Nov 1   50.89609 1842.920  116.184249
Dec 1  292.49675 1840.068  -13.564491
Jan 2  218.21390 1837.216  -70.429728
Feb 2  -85.64879 1823.887  224.762012
Mar 2  228.68823 1810.558  -22.245960
Apr 2  160.27487 1796.457   18.268191
May 2  -32.33859 1782.356 -161.017558
Jun 2  -27.64047 1781.965  -75.324072
Jul 2 -222.74233 1781.573 -166.830600
Aug 2 -214.79033 1798.155  -72.364229
Sep 2 -252.63829 1814.736 -113.097886
Oct 2 -114.77102 1835.717   46.053745
Nov 2   50.89609 1856.698   -8.594457
Dec 2  292.49675 1874.692   11.811187
Jan 3  218.21390 1892.686  106.100335
Feb 3  -85.64879 1906.824  227.824777
Mar 3  228.68823 1920.962  193.349508
Apr 3  160.27487 1932.644   82.080995
May 3  -32.33859 1944.326 -304.987419
Jun 3  -27.64047 1959.206 -229.565727
Jul 3 -222.74233 1974.086   12.655952
Aug 3 -214.79033 2004.455  -23.664295
Sep 3 -252.63829 2034.823 -167.184570
Oct 3 -114.77102 2083.308  -15.536553
Nov 3   50.89609 2131.792  -91.688367
Dec 3  292.49675 2178.558  -60.054291
Jan 4  218.21390 2225.323  106.463290
Feb 4  -85.64879 2249.134  187.514809
Mar 4  228.68823 2272.945  284.366616
Apr 4  160.27487 2277.990   86.735422
May 4  -32.33859 2283.034  223.304328
Jun 4  -27.64047 2259.896   99.744929
Jul 4 -222.74233 2236.757  -36.014483
Aug 4 -214.79033 2183.247 -179.456460
Sep 4 -252.63829 2129.737   26.901535
Oct 4 -114.77102 2080.274   31.496979
Nov 4   50.89609 2030.811  125.292591
Dec 4  292.49675 2011.030  149.473194
Jan 5  218.21390 1991.249 -261.462699
Feb 5  -85.64879 1990.478 -520.829027
Mar 5  228.68823 1989.707 -229.395067
Apr 5  160.27487 1982.707   -2.981514
May 5  -32.33859 1975.706  156.632138
Jun 5  -27.64047 1968.685  103.955506
Jul 5 -222.74233 1961.663  344.078860
Aug 5 -214.79033 1958.013  278.777560
Sep 5 -252.63829 1954.362  248.276232
Oct 5 -114.77102 1950.167 -413.395920
Nov 5   50.89609 1945.972 -137.867903
Dec 5  292.49675 1939.418  -84.914633
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1xm0b1260464194.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2skrn1260464194.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3sfe71260464194.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/4ct051260464194.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5irvt1260464194.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6qv951260464194.tab") 
> system("convert tmp/1xm0b1260464194.ps tmp/1xm0b1260464194.png")
> system("convert tmp/2skrn1260464194.ps tmp/2skrn1260464194.png")
> system("convert tmp/3sfe71260464194.ps tmp/3sfe71260464194.png")
> system("convert tmp/4ct051260464194.ps tmp/4ct051260464194.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.952   0.601   1.406