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(1915,1843,1761,2858,3968,5061,4661,4269,3857,3568,3274,2987,1683,1381,1071,2772,4485,6181,5479,4782,4067,3489,2903,2330,1736,1483,1242,2334,3423,4523,3986,3462,2908,2575,2237,1904,1610,1251,941,2450,3946,5409,4741,4069,3539,3189,2960,2704,1697,1598,1456,2316,3083,4158,3469,2892,2578,2233,1947,2049)
> 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 -1350.68353 3329.505  -63.821709
Feb 1 -1547.31074 3324.102   66.208992
Mar 1 -1743.93793 3318.698  186.239672
Apr 1  -476.14822 3313.129   21.019334
May 1   774.84151 3307.560 -114.401023
Jun 1  2073.64146 3299.874 -312.515585
Jul 1  1487.84123 3292.189 -119.029979
Aug 1   932.34640 3280.925   55.729094
Sep 1   444.25152 3269.660  143.088222
Oct 1    92.92976 3268.375  206.695552
Nov 1  -225.99201 3267.089  232.902881
Dec 1  -461.77960 3305.649  143.130859
Jan 2 -1350.68353 3344.208 -310.524828
Feb 2 -1547.31074 3386.355 -458.044593
Mar 2 -1743.93793 3428.502 -613.564380
Apr 2  -476.14822 3443.991 -195.842585
May 2   774.84151 3459.479  250.679189
Jun 2  2073.64146 3456.772  650.586163
Jul 2  1487.84123 3454.065  537.093304
Aug 2   932.34640 3438.104  411.549213
Sep 2   444.25152 3422.143  200.605177
Oct 2    92.92976 3360.548   35.522381
Nov 2  -225.99201 3298.952 -169.960415
Dec 2  -461.77960 3190.293 -398.513665
Jan 3 -1350.68353 3081.634    5.049422
Feb 3 -1547.31074 2976.438   53.873066
Mar 3 -1743.93793 2871.241  114.696688
Apr 3  -476.14822 2796.505   13.643473
May 3   774.84151 2721.768  -73.609762
Jun 3  2073.64146 2677.450 -228.091928
Jul 3  1487.84123 2633.133 -134.973925
Aug 3   932.34640 2614.091  -84.437895
Sep 3   444.25152 2595.050 -131.301811
Oct 3    92.92976 2612.612 -130.541636
Nov 3  -225.99201 2630.173 -167.181461
Dec 3  -461.77960 2683.863 -318.082921
Jan 4 -1350.68353 2737.552  223.131954
Feb 4 -1547.31074 2802.579   -4.268451
Mar 4 -1743.93793 2867.607 -182.668878
Apr 4  -476.14822 2927.185   -1.037019
May 4   774.84151 2986.764  184.394820
Jun 4  2073.64146 3031.950  303.408137
Jul 4  1487.84123 3077.137  176.021622
Aug 4   932.34640 3100.280   36.373870
Sep 4   444.25152 3123.422  -28.673826
Oct 4    92.92976 3104.404   -8.333799
Nov 4  -225.99201 3085.386  100.606228
Dec 4  -461.77960 3011.245  154.535072
Jan 5 -1350.68353 2937.103  110.580251
Feb 5 -1547.31074 2838.173  307.137342
Mar 5 -1743.93793 2739.244  460.694411
Apr 5  -476.14822 2648.771  143.377486
May 5   774.84151 2558.298 -250.139459
Jun 5  2073.64146 2475.671 -391.312590
Jul 5  1487.84123 2393.044 -411.885552
Aug 5   932.34640 2307.766 -348.112556
Sep 5   444.25152 2222.488  -88.739504
Oct 5    92.92976 2139.035    1.035084
Nov 5  -225.99201 2055.582  117.409673
Dec 5  -461.77960 1976.366  534.413386
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1c4qm1259870937.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/23aum1259870937.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3i3rd1259870937.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/4j2c31259870937.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5zym61259870937.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6beo01259870937.tab") 
> 
> system("convert tmp/1c4qm1259870937.ps tmp/1c4qm1259870937.png")
> system("convert tmp/23aum1259870937.ps tmp/23aum1259870937.png")
> system("convert tmp/3i3rd1259870937.ps tmp/3i3rd1259870937.png")
> system("convert tmp/4j2c31259870937.ps tmp/4j2c31259870937.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.951   0.618   1.118