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(114,116,153,162,161,149,139,135,130,127,122,117,112,113,149,157,157,147,137,132,125,123,117,114,111,112,144,150,149,134,123,116,117,111,105,102,95,93,124,130,124,115,106,105,105,101,95,93,84,87,116,120,117,109,105,107,109,109,108,107)
> 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 -19.397013 137.6767 -4.27969030
Feb 1 -17.863849 137.3303 -3.46644862
Mar 1  15.669317 136.9839  0.34679201
Apr 1  22.492399 136.5999  2.90774175
May 1  20.515482 136.2158  4.26869148
Jun 1   9.921508 135.8448  3.23365911
Jul 1   1.327533 135.4738  2.19862727
Aug 1  -1.426105 135.1211  1.30499934
Sep 1  -2.979741 134.7684 -1.78863082
Oct 1  -5.624465 134.2945 -1.67008309
Nov 1 -10.069190 133.8207 -1.75153536
Dec 1 -12.565871 133.5913 -4.02538616
Jan 2 -19.397013 133.3618 -1.96477673
Feb 2 -17.863849 133.2539 -2.39004592
Mar 2  15.669317 133.1460  0.18468384
Apr 2  22.492399 132.9523  1.55531733
May 2  20.515482 132.7586  3.72595082
Jun 2   9.921508 132.4663  4.61218561
Jul 2   1.327533 132.1740  3.49842092
Aug 2  -1.426105 131.7578  1.66828599
Sep 2  -2.979741 131.3416 -3.36185116
Oct 2  -5.624465 130.7036 -2.07915077
Nov 2 -10.069190 130.0656 -2.99645039
Dec 2 -12.565871 129.2167 -2.65079296
Jan 3 -19.397013 128.3677  2.02932468
Feb 3 -17.863849 127.4498  2.41407089
Mar 3  15.669317 126.5319  1.79881605
Apr 3  22.492399 125.5311  1.97649581
May 3  20.515482 124.5303  3.95417558
Jun 3   9.921508 123.2886  0.78991577
Jul 3   1.327533 122.0468 -0.37434351
Aug 3  -1.426105 120.5067 -3.08063331
Sep 3  -2.979741 118.9667  1.01307467
Oct 3  -5.624465 117.2721 -0.64767026
Nov 3 -10.069190 115.5776 -0.50841519
Dec 3 -12.565871 113.9910  0.57483191
Jan 4 -19.397013 112.4045  1.99253922
Feb 4 -17.863849 111.1750 -0.31119154
Mar 4  15.669317 109.9456 -1.61492335
Apr 4  22.492399 109.0057 -1.49810476
May 4  20.515482 108.0658 -4.58128618
Jun 4   9.921508 107.3382 -2.25966551
Jul 4   1.327533 106.6105 -1.93804432
Aug 4  -1.426105 106.0280  0.39809558
Sep 4  -2.979741 105.4455  2.53423326
Oct 4  -5.624465 104.8759  1.74856603
Nov 4 -10.069190 104.3063  0.76289879
Dec 4 -12.565871 103.8113  1.75461957
Jan 5 -19.397013 103.3162  0.08080057
Feb 5 -17.863849 103.2232  1.64062742
Mar 5  15.669317 103.1302 -2.79954678
Apr 5  22.492399 104.2660 -6.75843871
May 5  20.515482 105.4018 -8.91733063
Jun 5   9.921508 106.6184 -7.53990904
Jul 5   1.327533 107.8350 -4.16248693
Aug 5  -1.426105 109.1535 -0.72736954
Sep 5  -2.979741 110.4720  1.50774563
Oct 5  -5.624465 111.9596  2.66483816
Nov 5 -10.069190 113.4473  4.62193069
Dec 5 -12.565871 115.0710  4.49491533
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1ssrw1259946764.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2z1u11259946764.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/320xx1259946764.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/4uoko1259946764.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5u8um1259946764.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6gsup1259946764.tab") 
> system("convert tmp/1ssrw1259946764.ps tmp/1ssrw1259946764.png")
> system("convert tmp/2z1u11259946764.ps tmp/2z1u11259946764.png")
> system("convert tmp/320xx1259946764.ps tmp/320xx1259946764.png")
> system("convert tmp/4uoko1259946764.ps tmp/4uoko1259946764.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.946   0.618   1.132