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(58608,46865,51378,46235,47206,45382,41227,33795,31295,42625,33625,21538,56421,53152,53536,52408,41454,38271,35306,26414,31917,38030,27534,18387,50556,43901,48572,43899,37532,40357,35489,29027,34485,42598,30306,26451,47460,50104,61465,53726,39477,43895,31481,29896,33842,39120,33702,25094,51442,45594,52518,48564,41745,49585,32747,33379,35645,37034,35681,20972)
> 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  12659.1390 41597.81  4351.0558
Feb 1   7700.9285 41654.16 -2490.0893
Mar 1  13287.5150 41710.52 -3620.0313
Apr 1   8768.6005 41746.93 -4280.5283
May 1   1293.4826 41783.34  4129.1782
Jun 1   3329.3779 41816.65   235.9752
Jul 1  -4897.9240 41849.95  4274.9693
Aug 1  -9623.8548 41936.79  1482.0634
Sep 1  -6667.3817 42023.63 -4061.2465
Oct 1   -239.4873 42079.41   785.0819
Nov 1  -7967.9957 42135.18  -542.1869
Dec 1 -17642.3980 41818.77 -2638.3686
Jan 2  12659.1390 41502.35  2259.5103
Feb 2   7700.9285 41119.75  4331.3172
Mar 2  13287.5150 40737.16  -488.6729
Apr 2   8768.6005 40347.43  3291.9721
May 2   1293.4826 39957.70   202.8205
Jun 2   3329.3779 39457.33 -4515.7112
Jul 2  -4897.9240 38956.97  1246.9543
Aug 2  -9623.8548 38406.08 -2368.2257
Sep 2  -6667.3817 37855.19   729.1903
Oct 2   -239.4873 37452.71   816.7776
Nov 2  -7967.9957 37050.23 -1548.2323
Dec 2 -17642.3980 36929.63  -900.2315
Jan 3  12659.1390 36809.03  1087.8300
Feb 3   7700.9285 36945.35  -745.2807
Mar 3  13287.5150 37081.67 -1797.1885
Apr 3   8768.6005 37402.29 -2271.8906
May 3   1293.4826 37722.91 -1484.3892
Jun 3   3329.3779 38109.71 -1082.0889
Jul 3  -4897.9240 38496.52  1890.4086
Aug 3  -9623.8548 39027.92  -377.0626
Sep 3  -6667.3817 39559.32  1593.0622
Oct 3   -239.4873 40117.16  2720.3308
Nov 3  -7967.9957 40674.99 -2400.9978
Dec 3 -17642.3980 40903.88  3189.5227
Jan 4  12659.1390 41132.76 -6331.8961
Feb 4   7700.9285 41070.50  1332.5685
Mar 4  13287.5150 41008.25  7169.2361
Apr 4   8768.6005 40937.12  4020.2773
May 4   1293.4826 40866.00 -2682.4781
Jun 4   3329.3779 40790.45  -224.8237
Jul 4  -4897.9240 40714.90 -4335.9722
Aug 4  -9623.8548 40480.13  -960.2766
Sep 4  -6667.3817 40245.37   264.0149
Oct 4   -239.4873 40073.59  -714.1060
Nov 4  -7967.9957 39901.82  1768.1760
Dec 4 -17642.3980 40046.96  2689.4331
Jan 5  12659.1390 40192.11 -1409.2491
Feb 5   7700.9285 40362.45 -2469.3740
Mar 5  13287.5150 40532.78 -1302.2958
Apr 5   8768.6005 40579.83  -784.4264
May 5   1293.4826 40626.87  -175.3536
Jun 5   3329.3779 40661.93  5593.6918
Jul 5  -4897.9240 40696.99 -3052.0657
Aug 5  -9623.8548 40741.73  2261.1290
Sep 5  -6667.3817 40786.46  1525.9197
Oct 5   -239.4873 40827.69 -3554.2068
Nov 5  -7967.9957 40868.93  2780.0696
Dec 5 -17642.3980 40900.56 -2286.1620
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1hj5k1259943649.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2xmcu1259943649.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3m3re1259943649.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/4fdwu1259943649.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/56q7c1259943649.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/68ki41259943649.tab") 
> system("convert tmp/1hj5k1259943649.ps tmp/1hj5k1259943649.png")
> system("convert tmp/2xmcu1259943649.ps tmp/2xmcu1259943649.png")
> system("convert tmp/3m3re1259943649.ps tmp/3m3re1259943649.png")
> system("convert tmp/4fdwu1259943649.ps tmp/4fdwu1259943649.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.992   0.625   4.823