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(102.80,118.72,119.01,118.61,120.43,111.83,116.79,131.71,120.57,117.83,130.80,107.46,112.09,129.47,119.72,134.81,135.80,129.27,126.94,153.45,121.86,133.47,135.34,117.10,120.65,132.49,137.60,138.69,125.53,133.09,129.08,145.94,129.07,139.69,142.09,137.29,127.03,137.25,156.87,150.89,139.14,158.30,149.00,158.36,168.06,153.38,173.86,162.47,145.17,168.89,166.64,140.07,128.84,123.40,120.30,129.66,118.12,113.91,131.09,119.14,115.33)
> 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 -9.529247 114.3988  -2.0695627
Feb 1  4.000999 115.1439  -0.4248747
Mar 1  6.466243 115.8889  -3.3451844
Apr 1  2.988164 116.5818  -0.9599538
May 1 -3.801925 117.2746   6.9572873
Jun 1 -2.789686 117.9473  -3.3276522
Jul 1 -5.763457 118.6200   3.9334181
Aug 1  9.575738 119.3152   2.8190475
Sep 1 -2.775071 120.0104   3.3346808
Oct 1 -2.428289 120.7805  -0.5222479
Nov 1  8.778486 121.5507   0.4708316
Dec 1 -4.721954 122.6613 -10.4793158
Jan 2 -9.529247 123.7719  -2.1526107
Feb 2  4.000999 125.0253   0.4436798
Mar 2  6.466243 126.2788 -13.0250275
Apr 2  2.988164 127.3810   4.4408740
May 2 -3.801925 128.4831  11.1187858
Jun 2 -2.789686 129.2947   2.7649852
Jul 2 -5.763457 130.1063   2.5971944
Aug 2  9.575738 130.5451  13.3291466
Sep 2 -2.775071 130.9840  -6.3488973
Oct 2 -2.428289 131.0481   4.8501823
Nov 2  8.778486 131.1122  -4.5507300
Dec 2 -4.721954 131.0121  -9.1900957
Jan 3 -9.529247 130.9119  -0.7326089
Feb 3  4.000999 131.1095  -2.6205008
Mar 3  6.466243 131.3071  -0.1733905
Apr 3  2.988164 131.9693   3.7325476
May 3 -3.801925 132.6314  -3.2995039
Jun 3 -2.789686 133.5001   2.3796315
Jul 3 -5.763457 134.3687   0.4747768
Aug 3  9.575738 135.2552   1.1090715
Sep 3 -2.775071 136.1417  -4.2966300
Oct 3 -2.428289 137.2557   4.8625524
Nov 3  8.778486 138.3698  -5.0582572
Dec 3 -4.721954 139.9013   2.1106114
Jan 4 -9.529247 141.4329  -4.8736676
Feb 4  4.000999 143.3215 -10.0725102
Mar 4  6.466243 145.2101   5.1936495
Apr 4  2.988164 147.3982   0.5035890
May 4 -3.801925 149.5864  -6.6444611
Jun 4 -2.789686 151.7639   9.3257512
Jul 4 -5.763457 153.9415   0.8219733
Aug 4  9.575738 155.5145  -6.7302458
Sep 4 -2.775071 157.0875  13.7475391
Oct 4 -2.428289 157.0111  -1.2027943
Nov 4  8.778486 156.9346   8.1468805
Dec 4 -4.721954 155.0376  12.1543685
Jan 5 -9.529247 153.1405   1.5587090
Feb 5  4.000999 149.8844  15.0046453
Mar 5  6.466243 146.6282  13.5455837
Apr 5  2.988164 142.8847  -5.8028359
May 5 -3.801925 139.1412  -6.4992451
Jun 5 -2.789686 135.8390  -9.6493053
Jul 5 -5.763457 132.5368  -6.4733557
Aug 5  9.575738 129.2262  -9.1419134
Sep 5 -2.775071 125.9155  -5.0204673
Oct 5 -2.428289 122.6862  -6.3479230
Nov 5  8.778486 119.4569   2.8546294
Dec 5 -4.721954 116.4221   7.4399007
Jan 6 -9.529247 113.3872  11.4720244
> m$win
  s   t   l 
611  19  13 
> m$deg
s t l 
0 1 1 
> m$jump
 s  t  l 
62  2  2 
> m$inner
[1] 2
> m$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1ijvl1259966524.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2a7ed1259966524.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3ncle1259966524.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/4b2de1259966524.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5ywx01259966524.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6u6ln1259966524.tab") 
> system("convert tmp/1ijvl1259966524.ps tmp/1ijvl1259966524.png")
> system("convert tmp/2a7ed1259966524.ps tmp/2a7ed1259966524.png")
> system("convert tmp/3ncle1259966524.ps tmp/3ncle1259966524.png")
> system("convert tmp/4b2de1259966524.ps tmp/4b2de1259966524.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.963   0.614   1.138