R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(101.76,102.37,102.38,102.86,102.87,102.92,102.95,103.02,104.08,104.16,104.24,104.33,104.73,104.86,105.03,105.62,105.63,105.63,105.94,106.61,107.69,107.78,107.93,108.48,108.14,108.48,108.48,108.89,108.93,109.21,109.47,109.80,111.73,111.85,112.12,112.15,112.17,112.67,112.80,113.44,113.53,114.53,114.51,115.05,116.67,117.07,116.92,117.00,117.02,117.35,117.36,117.82,117.88,118.24,118.50,118.80,119.76,120.09)
> 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 -0.3147090 102.2621 -0.18737333
Feb 1 -0.2006323 102.4340  0.13661390
Mar 1 -0.4045555 102.6060  0.17860101
Apr 1 -0.1377992 102.7850  0.21280378
May 1 -0.3450429 102.9640  0.25100658
Jun 1 -0.2524099 103.1522  0.02017820
Jul 1 -0.3297770 103.3404 -0.06065010
Aug 1 -0.2132891 103.5332 -0.29988430
Sep 1  0.8511989 103.7259 -0.49711870
Oct 1  0.7572336 103.9377 -0.53491792
Nov 1  0.3813379 104.1494 -0.29078678
Dec 1  0.2084449 104.4083 -0.28674464
Jan 2 -0.3147090 104.6672  0.37755838
Feb 2 -0.2006323 104.9560  0.10467390
Mar 2 -0.4045555 105.2448  0.18978930
Apr 2 -0.1377992 105.5450  0.21277160
May 2 -0.3450429 105.8453  0.12975392
Jun 2 -0.2524099 106.1445 -0.26213704
Jul 2 -0.3297770 106.4438 -0.17402793
Aug 2 -0.2132891 106.7390  0.08431194
Sep 2  0.8511989 107.0341 -0.19534839
Oct 2  0.7572336 107.3279 -0.30517374
Nov 2  0.3813379 107.6217 -0.07306872
Dec 2  0.2084449 107.9140  0.35759472
Jan 3 -0.3147090 108.2062  0.24851902
Feb 3 -0.2006323 108.5043  0.17635322
Mar 3 -0.4045555 108.8024  0.08218730
Apr 3 -0.1377992 109.1153 -0.08749250
May 3 -0.3450429 109.4282 -0.15317229
Jun 3 -0.2524099 109.7563 -0.29384205
Jul 3 -0.3297770 110.0843 -0.28451174
Aug 3 -0.2132891 110.4388 -0.42552881
Sep 3  0.8511989 110.7933  0.08545392
Oct 3  0.7572336 111.1821 -0.08937118
Nov 3  0.3813379 111.5709  0.16773409
Dec 3  0.2084449 111.9866 -0.04502024
Jan 4 -0.3147090 112.4022  0.08248631
Feb 4 -0.2006323 112.8253  0.04529125
Mar 4 -0.4045555 113.2485 -0.04390393
Apr 4 -0.1377992 113.6653 -0.08754398
May 4 -0.3450429 114.0822 -0.20718401
Jun 4 -0.2524099 114.4908  0.29156537
Jul 4 -0.3297770 114.8995 -0.05968517
Aug 4 -0.2132891 115.2938 -0.03051480
Sep 4  0.8511989 115.6881  0.13065536
Oct 4  0.7572336 116.0557  0.25711397
Nov 4  0.3813379 116.4232  0.11550295
Dec 4  0.2084449 116.7561  0.03546142
Jan 5 -0.3147090 117.0890  0.24568076
Feb 5 -0.2006323 117.3630  0.18759879
Mar 5 -0.4045555 117.6370  0.12751669
Apr 5 -0.1377992 117.9039  0.05389633
May 5 -0.3450429 118.1708  0.05427598
Jun 5 -0.2524099 118.4335  0.05889371
Jul 5 -0.3297770 118.6963  0.13351151
Aug 5 -0.2132891 118.9544  0.05890995
Sep 5  0.8511989 119.2125 -0.30369181
Oct 5  0.7572336 119.4667 -0.13394877
> m$win
  s   t   l 
581  19  13 
> m$deg
s t l 
0 1 1 
> m$jump
 s  t  l 
59  2  2 
> m$inner
[1] 2
> m$outer
[1] 0
> postscript(file="/var/wessaorg/rcomp/tmp/148ue1324648940.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/wessaorg/rcomp/tmp/2v9rv1324648940.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/wessaorg/rcomp/tmp/3a9a61324648940.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/4v4hi1324648940.ps",horizontal=F,onefile=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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/5o1kf1324648940.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/wessaorg/rcomp/tmp/6nmgc1324648941.tab") 
> 
> try(system("convert tmp/148ue1324648940.ps tmp/148ue1324648940.png",intern=TRUE))
character(0)
> try(system("convert tmp/2v9rv1324648940.ps tmp/2v9rv1324648940.png",intern=TRUE))
character(0)
> try(system("convert tmp/3a9a61324648940.ps tmp/3a9a61324648940.png",intern=TRUE))
character(0)
> try(system("convert tmp/4v4hi1324648940.ps tmp/4v4hi1324648940.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.227   0.225   1.455