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(2756.76,2849.27,2921.44,2981.85,3080.58,3106.22,3119.31,3061.26,3097.31,3161.69,3257.16,3277.01,3295.32,3363.99,3494.17,3667.03,3813.06,3917.96,3895.51,3801.06,3570.12,3701.61,3862.27,3970.1,4138.52,4199.75,4290.89,4443.91,4502.64,4356.98,4591.27,4696.96,4621.4,4562.84,4202.52,4296.49,4435.23,4105.18,4116.68,3844.49,3720.98,3674.4,3857.62,3801.06,3504.37,3032.6,3047.03,2962.34,2197.82,2014.45,1862.83,1905.41,1810.99,1670.07,1864.44,2052.02,2029.6,2070.83,2293.41,2443.27)
> 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  -58.15008 2877.748  -62.837994
Feb 1 -104.64856 2911.874   42.044329
Mar 1  -62.27098 2946.000   37.710594
Apr 1  -32.20994 2981.806   32.253597
May 1  -16.37289 3017.612   79.340584
Jun 1  -49.45298 3055.829   99.844232
Jul 1   78.49496 3094.045  -53.230150
Aug 1  113.28856 3133.529 -185.557844
Sep 1   13.32810 3173.013  -89.031472
Oct 1  -21.27133 3220.973  -38.011787
Nov 1   29.33917 3268.933  -41.112036
Dec 1  109.92636 3335.547 -168.463180
Jan 2  -58.15008 3402.161  -48.690687
Feb 2 -104.64856 3465.666    2.972438
Mar 2  -62.27098 3529.171   27.269506
Apr 2  -32.20994 3581.730  117.510286
May 2  -16.37289 3634.288  195.145050
Jun 2  -49.45298 3686.190  281.222837
Jul 2   78.49496 3738.092   78.922597
Aug 2  113.28856 3794.925 -107.153115
Sep 2   13.32810 3851.757 -294.964761
Oct 2  -21.27133 3911.119 -188.237907
Nov 2   29.33917 3970.482 -137.550987
Dec 2  109.92636 4035.059 -174.885185
Jan 3  -58.15008 4099.636   97.034254
Feb 3 -104.64856 4174.412  129.986964
Mar 3  -62.27098 4249.187  103.973617
Apr 3  -32.20994 4310.974  165.145644
May 3  -16.37289 4372.761  146.251654
Jun 3  -49.45298 4400.780    5.652513
Jul 3   78.49496 4428.800   83.975345
Aug 3  113.28856 4422.439  161.232375
Sep 3   13.32810 4416.078  191.993471
Oct 3  -21.27133 4377.195  206.916564
Nov 3   29.33917 4338.311 -165.130276
Dec 3  109.92636 4274.456  -87.892387
Jan 4  -58.15008 4210.601  282.779138
Feb 4 -104.64856 4129.071   80.757590
Mar 4  -62.27098 4047.541  131.409984
Apr 4  -32.20994 3945.428  -68.727758
May 4  -16.37289 3843.314 -105.961518
Jun 4  -49.45298 3710.951   12.901623
Jul 4   78.49496 3578.588  200.536736
Aug 4  113.28856 3412.879  274.892057
Sep 4   13.32810 3247.170  243.871444
Oct 4  -21.27133 3069.698  -15.826729
Nov 4   29.33917 2892.226  125.465166
Dec 4  109.92636 2717.868  134.545745
Jan 5  -58.15008 2543.510 -287.540039
Feb 5 -104.64856 2396.138 -277.039718
Mar 5  -62.27098 2248.766 -323.665454
Apr 5  -32.20994 2199.135 -261.515544
May 5  -16.37289 2149.505 -322.141652
Jun 5  -49.45298 2110.955 -391.432475
Jul 5   78.49496 2072.406 -286.461326
Aug 5  113.28856 2041.801 -103.069725
Sep 5   13.32810 2011.196    5.075942
Oct 5  -21.27133 1991.309  100.792154
Nov 5   29.33917 1971.422  292.648434
Dec 5  109.92636 1960.148  373.195982
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1ba031259919058.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2rbps1259919058.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3g71v1259919058.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/4ge2r1259919058.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5b33a1259919058.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6amvn1259919058.tab") 
> 
> system("convert tmp/1ba031259919058.ps tmp/1ba031259919058.png")
> system("convert tmp/2rbps1259919058.ps tmp/2rbps1259919058.png")
> system("convert tmp/3g71v1259919058.ps tmp/3g71v1259919058.png")
> system("convert tmp/4ge2r1259919058.ps tmp/4ge2r1259919058.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.950   0.604   1.543