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(7.55,7.55,7.59,7.59,7.59,7.57,7.57,7.59,7.6,7.64,7.64,7.76,7.76,7.76,7.77,7.83,7.94,7.94,7.94,8.09,8.18,8.26,8.28,8.28,8.28,8.29,8.3,8.3,8.31,8.33,8.33,8.34,8.48,8.59,8.67,8.67,8.67,8.71,8.72,8.72,8.72,8.74,8.74,8.74,8.74,8.79,8.85,8.86,8.87,8.92,8.96,8.97,8.99,8.98,8.98,9.01,9.01,9.03,9.05,9.05)
> 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 -0.003670289 7.550017  0.003653246
Feb 1 -0.009277355 7.560610 -0.001332451
Mar 1 -0.012884432 7.571203  0.031681863
Apr 1 -0.019128019 7.582811  0.026317038
May 1 -0.011371599 7.594419  0.006952206
Jun 1 -0.027821980 7.607255 -0.009432790
Jul 1 -0.046272376 7.620090 -0.003817770
Aug 1 -0.023682949 7.633789 -0.020106067
Sep 1  0.004906515 7.647488 -0.052394400
Oct 1  0.041401679 7.666381 -0.067782430
Nov 1  0.053896840 7.685274 -0.099170455
Dec 1  0.053903933 7.716282 -0.010185522
Jan 2 -0.003670289 7.747290  0.016380727
Feb 2 -0.009277355 7.789084 -0.019806381
Mar 2 -0.012884432 7.830878 -0.047993479
Apr 2 -0.019128019 7.879781 -0.030653104
May 2 -0.011371599 7.928684  0.022687264
Jun 2 -0.027821980 7.977261 -0.009438661
Jul 2 -0.046272376 8.025837 -0.039564570
Aug 2 -0.023682949 8.070346  0.043337216
Sep 2  0.004906515 8.114855  0.060238966
Oct 2  0.041401679 8.153531  0.065067641
Nov 2  0.053896840 8.192207  0.033896319
Dec 2  0.053903933 8.222861  0.003235379
Jan 3 -0.003670289 8.253515  0.030155755
Feb 3 -0.009277355 8.278690  0.020587552
Mar 3 -0.012884432 8.303865  0.009019358
Apr 3 -0.019128019 8.330073 -0.010944974
May 3 -0.011371599 8.356281 -0.034909313
Jun 3 -0.027821980 8.387708 -0.029886087
Jul 3 -0.046272376 8.419135 -0.042862845
Aug 3 -0.023682949 8.454632 -0.090949201
Sep 3  0.004906515 8.490129 -0.015035593
Oct 3  0.041401679 8.527231  0.021367040
Nov 3  0.053896840 8.564333  0.051769678
Dec 3  0.053903933 8.599854  0.016242081
Jan 4 -0.003670289 8.635374  0.038295800
Feb 4 -0.009277355 8.663780  0.055497080
Mar 4 -0.012884432 8.692186  0.040698371
Apr 4 -0.019128019 8.710975  0.028152968
May 4 -0.011371599 8.729764  0.001607559
Jun 4 -0.027821980 8.744023  0.023798759
Jul 4 -0.046272376 8.758282  0.027989974
Aug 4 -0.023682949 8.774583 -0.010900210
Sep 4  0.004906515 8.790884 -0.055790431
Oct 4  0.041401679 8.811036 -0.062437728
Nov 4  0.053896840 8.831188 -0.035085022
Dec 4  0.053903933 8.854177 -0.048080835
Jan 5 -0.003670289 8.877166 -0.003495332
Feb 5 -0.009277355 8.900794  0.028483832
Mar 5 -0.012884432 8.924421  0.048463006
Apr 5 -0.019128019 8.939737  0.049391480
May 5 -0.011371599 8.955052  0.046319947
Jun 5 -0.027821980 8.969159  0.038663344
Jul 5 -0.046272376 8.983266  0.043006756
Aug 5 -0.023682949 8.996442  0.037241436
Sep 5  0.004906515 9.009617 -0.004523920
Oct 5  0.041401679 9.021356 -0.032758026
Nov 5  0.053896840 9.033095 -0.036992128
Dec 5  0.053903933 9.043639 -0.047542583
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1omed1260535638.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/264fl1260535638.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/34q8m1260535638.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/41jnw1260535638.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5orwr1260535638.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6bl8a1260535638.tab") 
> system("convert tmp/1omed1260535638.ps tmp/1omed1260535638.png")
> system("convert tmp/264fl1260535638.ps tmp/264fl1260535638.png")
> system("convert tmp/34q8m1260535638.ps tmp/34q8m1260535638.png")
> system("convert tmp/41jnw1260535638.ps tmp/41jnw1260535638.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.944   0.608   1.190