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(12.610,10.862,52.929,56.902,81.776,87.876,82.103,72.846,60.632,33.521,15.342,7.758,8.668,13.082,38.157,58.263,81.153,88.476,72.329,75.845,61.108,37.665,12.755,2.793,12.935,19.533,33.404,52.074,70.735,69.702,61.656,82.993,53.990,32.283,15.686,2.713,12.842,19.244,48.488,54.464,84.192,84.458,85.793,75.163,68.212,49.233,24.302,5.402,15.058,33.559,70.358,85.934,94.452,129.305,113.882,107.256,94.274,57.842,26.611,14.521)
> 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 -37.365440 48.52701   1.4484287
Feb 1 -30.983514 48.33852  -6.4930110
Mar 1  -2.023796 48.15004   6.8027579
Apr 1  10.705189 47.97356  -1.7767530
May 1  31.508174 47.79709   2.4707363
Jun 1  40.853703 47.63647  -0.6141730
Jul 1  31.886644 47.47585   2.7405062
Aug 1  31.190103 47.30396  -5.6480670
Sep 1  15.648150 47.13208  -2.1482277
Oct 1 -10.398977 46.89363  -2.9736497
Nov 1 -34.081308 46.65518   2.7681316
Dec 1 -46.938933 46.52030   8.1766298
Jan 2 -37.365440 46.38543  -0.3519902
Feb 2 -30.983514 46.30136  -2.2358454
Mar 2  -2.023796 46.21729  -6.0364918
Apr 2  10.705189 46.12923   1.4285765
May 2  31.508174 46.04118   3.6036450
Jun 2  40.853703 46.09161   1.5306901
Jul 2  31.886644 46.14203  -5.6996764
Aug 2  31.190103 46.21556  -1.5606585
Sep 2  15.648150 46.28908  -0.8292280
Oct 2 -10.398977 45.91105   2.1529275
Nov 2 -34.081308 45.53302   1.3032864
Dec 2 -46.938933 44.71685   5.0150840
Jan 3 -37.365440 43.90068   6.3997633
Feb 3 -30.983514 43.22831   7.2882046
Mar 3  -2.023796 42.55594  -7.1281455
Apr 3  10.705189 42.12019  -0.7513820
May 3  31.508174 41.68444  -2.4576182
Jun 3  40.853703 41.69026 -12.8419620
Jul 3  31.886644 41.69607 -11.9267173
Aug 3  31.190103 42.26581   9.5370875
Sep 3  15.648150 42.83554  -4.4936950
Oct 3 -10.398977 43.87279  -1.1908158
Nov 3 -34.081308 44.91004   4.8572668
Dec 3 -46.938933 45.96126   3.6906727
Jan 4 -37.365440 47.01248   3.1949603
Feb 4 -30.983514 47.77230   2.4552090
Mar 4  -2.023796 48.53213   1.9796664
Apr 4  10.705189 49.19099  -5.4321759
May 4  31.508174 49.84984   2.8339820
Jun 4  40.853703 50.47511  -6.8708121
Jul 4  31.886644 51.10037   2.8059822
Aug 4  31.190103 52.23647  -8.2635685
Sep 4  15.648150 53.37256  -0.8087066
Oct 4 -10.398977 55.26227   4.3697070
Nov 4 -34.081308 57.15198   1.2313240
Dec 4 -46.938933 59.65385  -7.3129119
Jan 5 -37.365440 62.15571  -9.7322661
Feb 5 -30.983514 64.58990  -0.0473842
Mar 5  -2.023796 67.02409   5.3577064
Apr 5  10.705189 67.96276   7.2660490
May 5  31.508174 68.90143  -5.9576082
Jun 5  40.853703 69.56716  18.8841402
Jul 5  31.886644 70.23288  11.7624770
Aug 5  31.190103 70.84381   5.2220901
Sep 5  15.648150 71.45473   7.1711158
Oct 5 -10.398977 71.88038  -3.6394064
Nov 5 -34.081308 72.30603 -11.6137253
Dec 5 -46.938933 72.52751 -11.0675723
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1c6u51259922693.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2nbkd1259922693.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3fl3c1259922693.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/41v0r1259922693.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5c3v91259922693.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/63l2l1259922693.tab") 
> system("convert tmp/1c6u51259922693.ps tmp/1c6u51259922693.png")
> system("convert tmp/2nbkd1259922693.ps tmp/2nbkd1259922693.png")
> system("convert tmp/3fl3c1259922693.ps tmp/3fl3c1259922693.png")
> system("convert tmp/41v0r1259922693.ps tmp/41v0r1259922693.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.942   0.592   1.154