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(104.31,103.88,103.88,103.86,103.89,103.98,103.98,104.29,104.29,104.24,103.98,103.54,103.44,103.32,103.30,103.26,103.14,103.11,102.91,103.23,103.23,103.14,102.91,102.42,102.10,102.07,102.06,101.98,101.83,101.75,101.56,101.66,101.65,101.61,101.52,101.31,101.19,101.11,101.10,101.07,100.98,100.93,100.92,101.02,101.01,100.97,100.89,100.62,100.53,100.48,100.48,100.47,100.52,100.49,100.47,100.44)
> 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 -0.10860145 104.2376  0.1809889673
Feb 1 -0.18662904 104.1955 -0.1288814501
Mar 1 -0.13065676 104.1534 -0.1427517472
Apr 1 -0.10439046 104.1082 -0.1438225453
May 1 -0.09812423 104.0630 -0.0748932632
Jun 1 -0.05722130 104.0145  0.0227462898
Jul 1 -0.08031840 103.9659  0.0943858732
Aug 1  0.13999342 103.9176  0.2324268453
Sep 1  0.25590261 103.8692  0.1648704542
Oct 1  0.27611113 103.8160  0.1478720674
Nov 1  0.18631966 103.7628  0.0308736714
Dec 1 -0.09238521 103.6852 -0.0527786576
Jan 2 -0.10860145 103.6075 -0.0589196154
Feb 2 -0.18662904 103.5193 -0.0127021478
Mar 2 -0.13065676 103.4311 -0.0004845599
Apr 2 -0.10439046 103.3425  0.0218851621
May 2 -0.09812423 103.2539 -0.0157450358
Jun 2 -0.05722130 103.1597  0.0075394169
Jul 2 -0.08031840 103.0655 -0.0751760999
Aug 2  0.13999342 102.9619  0.1281488087
Sep 2  0.25590261 102.8582  0.1158763542
Oct 2  0.27611113 102.7487  0.1151445258
Nov 2  0.18631966 102.6393  0.0844126882
Dec 2 -0.09238521 102.5232 -0.0107758725
Jan 3 -0.10860145 102.4071 -0.1984530619
Feb 3 -0.18662904 102.2824 -0.0257457439
Mar 3 -0.13065676 102.1577  0.0329616945
Apr 3 -0.10439046 102.0373  0.0470749354
May 3 -0.09812423 101.9169  0.0111882566
Jun 3 -0.05722130 101.8163 -0.0090872338
Jul 3 -0.08031840 101.7157 -0.0753626937
Aug 3  0.13999342 101.6327 -0.1126918298
Sep 3  0.25590261 101.5497 -0.1556183290
Oct 3  0.27611113 101.4778 -0.1438944936
Nov 3  0.18631966 101.4059 -0.0721706674
Dec 3 -0.09238521 101.3462  0.0561652794
Jan 4 -0.10860145 101.2866  0.0120125975
Feb 4 -0.18662904 101.2335  0.0630905681
Mar 4 -0.13065676 101.1805  0.0501686591
Apr 4 -0.10439046 101.1256  0.0488235061
May 4 -0.09812423 101.0706  0.0074784334
Jun 4 -0.05722130 101.0128 -0.0255536550
Jul 4 -0.08031840 100.9549  0.0454142871
Aug 4  0.13999342 100.9003 -0.0202984581
Sep 4  0.25590261 100.8457 -0.0916085664
Oct 4  0.27611113 100.7991 -0.1052196437
Nov 4  0.18631966 100.7525 -0.0488307302
Dec 4 -0.09238521 100.7177 -0.0052695204
Jan 5 -0.10860145 100.6828 -0.0441969393
Feb 5 -0.18662904 100.6463  0.0203267206
Mar 5 -0.13065676 100.6098  0.0008505010
Apr 5 -0.10439046 100.5743  0.0001107979
May 5 -0.09812423 100.5388  0.0793711750
Jun 5 -0.05722130 100.5042  0.0429721514
Jul 5 -0.08031840 100.4697  0.0805731583
Aug 5  0.13999342 100.4356 -0.1355686561
> m$win
  s   t   l 
561  19  13 
> m$deg
s t l 
0 1 1 
> m$jump
 s  t  l 
57  2  2 
> m$inner
[1] 2
> m$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1bhz61292778955.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2bhz61292778955.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/www/html/rcomp/tmp/33qyr1292778955.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/www/html/rcomp/tmp/43qyr1292778955.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/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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5z0eh1292778955.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6eaur1292778955.tab") 
> 
> try(system("convert tmp/1bhz61292778955.ps tmp/1bhz61292778955.png",intern=TRUE))
character(0)
> try(system("convert tmp/2bhz61292778955.ps tmp/2bhz61292778955.png",intern=TRUE))
character(0)
> try(system("convert tmp/33qyr1292778955.ps tmp/33qyr1292778955.png",intern=TRUE))
character(0)
> try(system("convert tmp/43qyr1292778955.ps tmp/43qyr1292778955.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.962   0.610   2.127