R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(7.1,6.9,6.8,7.5,7.6,7.8,8.0,8.1,8.2,8.3,8.2,8.0,7.9,7.6,7.6,8.3,8.4,8.4,8.4,8.4,8.6,8.9,8.8,8.3,7.5,7.2,7.4,8.8,9.3,9.3,8.7,8.2,8.3,8.5,8.6,8.5,8.2,8.1,7.9,8.6,8.7,8.7,8.5,8.4,8.5,8.7,8.7,8.6,8.5,8.3,8.0,8.2,8.1,8.1,8.0,7.9,7.9,8.0,8.0,7.9,8.0,7.7,7.2,7.5,7.3,7.0,7.0,7.0,7.2,7.3,7.1,6.8,6.4,6.1,6.5,7.7,7.9,7.5,6.9,6.6,6.9,7.7,8.0,8.0,7.7,7.3,7.4,8.1,8.3,8.2)
> 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 -0.20271926 7.262029  0.040690636
Feb 1 -0.47625389 7.343976  0.032277503
Mar 1 -0.53728875 7.425924 -0.088635405
Apr 1  0.18736551 7.503864 -0.191229395
May 1  0.28701979 7.581804 -0.268823409
Jun 1  0.19666474 7.654924 -0.051589191
Jul 1  0.02383561 7.728045  0.248119103
Aug 1 -0.11107167 7.800595  0.410476460
Sep 1  0.02544962 7.873145  0.301405250
Oct 1  0.27269313 7.939603  0.087704118
Nov 1  0.26279388 8.006060 -0.068854244
Dec 1  0.07151134 8.046008 -0.117519748
Jan 2 -0.20271926 8.085956  0.016762803
Feb 2 -0.47625389 8.119547 -0.043293436
Mar 2 -0.53728875 8.153138 -0.015849450
Apr 2  0.18736551 8.195587 -0.082952756
May 2  0.28701979 8.238036 -0.125056089
Jun 2  0.19666474 8.261557 -0.058222109
Jul 2  0.02383561 8.285078  0.091085947
Aug 2 -0.11107167 8.280573  0.230498853
Sep 2  0.02544962 8.276067  0.298483191
Oct 2  0.27269313 8.287885  0.339421686
Nov 2  0.26279388 8.299703  0.237502951
Dec 2  0.07151134 8.329915 -0.101426404
Jan 3 -0.20271926 8.360127 -0.657407706
Feb 3 -0.47625389 8.371411 -0.695157284
Mar 3 -0.53728875 8.382695 -0.445406638
Apr 3  0.18736551 8.384978  0.227655994
May 3  0.28701979 8.387262  0.625718602
Jun 3  0.19666474 8.411121  0.692214547
Jul 3  0.02383561 8.434980  0.241184569
Aug 3 -0.11107167 8.460246 -0.149174299
Sep 3  0.02544962 8.485512 -0.210961735
Oct 3  0.27269313 8.474097 -0.246790396
Nov 3  0.26279388 8.462682 -0.125476286
Dec 3  0.07151134 8.442078 -0.013589747
Jan 4 -0.20271926 8.421474 -0.018755154
Feb 4 -0.47625389 8.425850  0.150404381
Mar 4 -0.53728875 8.430225  0.007064139
Apr 4  0.18736551 8.442688 -0.030053174
May 4  0.28701979 8.455151 -0.042170513
Jun 4  0.19666474 8.466385  0.036950091
Jul 4  0.02383561 8.477620 -0.001455228
Aug 4 -0.11107167 8.487008  0.024063515
Sep 4  0.02544962 8.496397 -0.021846309
Oct 4  0.27269313 8.482328 -0.055020719
Nov 4  0.26279388 8.468258 -0.031052358
Dec 4  0.07151134 8.427759  0.100729773
Jan 5 -0.20271926 8.387259  0.315459958
Feb 5 -0.47625389 8.334449  0.441804831
Mar 5 -0.53728875 8.281639  0.255649928
Apr 5  0.18736551 8.219043 -0.206408216
May 5  0.28701979 8.156447 -0.343466385
Jun 5  0.19666474 8.094232 -0.190897162
Jul 5  0.02383561 8.032018 -0.055853863
Aug 5 -0.11107167 7.983266  0.027805886
Sep 5  0.02544962 7.934513 -0.059962933
Oct 5  0.27269313 7.884475 -0.157168565
Nov 5  0.26279388 7.834438 -0.097231427
Dec 5  0.07151134 7.762867  0.065622030
Jan 6 -0.20271926 7.691296  0.511423541
Feb 6 -0.47625389 7.610649  0.565604848
Mar 6 -0.53728875 7.530002  0.207286381
Apr 6  0.18736551 7.446513 -0.133878317
May 6  0.28701979 7.363023 -0.350043040
Jun 6  0.19666474 7.262538 -0.459202601
Jul 6  0.02383561 7.162052 -0.185888085
Aug 6 -0.11107167 7.077539  0.033532504
Sep 6  0.02544962 6.993026  0.181524527
Oct 6  0.27269313 6.978030  0.049277352
Nov 6  0.26279388 6.963033 -0.125827052
Dec 6  0.07151134 6.980461 -0.251972692
Jan 7 -0.20271926 6.997890 -0.395170277
Feb 7 -0.47625389 7.004340 -0.428086120
Mar 7 -0.53728875 7.010790  0.026498261
Apr 7  0.18736551 7.042255  0.470379660
May 7  0.28701979 7.073719  0.539261034
Jun 7  0.19666474 7.149581  0.153753923
Jul 7  0.02383561 7.225444 -0.349279111
Aug 7 -0.11107167 7.305607 -0.594535734
Sep 7  0.02544962 7.385771 -0.511220924
Oct 7  0.27269313 7.462891 -0.035584408
Nov 7  0.26279388 7.540011  0.197194879
Dec 7  0.07151134 7.619574  0.308914689
Jan 8 -0.20271926 7.699137  0.203582553
Feb 8 -0.47625389 7.783448 -0.007193910
Mar 8 -0.53728875 7.867759  0.069529852
Apr 8  0.18736551 7.953826 -0.041191170
May 8  0.28701979 8.039892 -0.026912219
Jun 8  0.19666474 8.125752 -0.122417089
> m$win
  s   t   l 
901  19  13 
> m$deg
s t l 
0 1 1 
> m$jump
 s  t  l 
91  2  2 
> m$inner
[1] 2
> m$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/11ocv1259936054.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2agz91259936054.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3r11o1259936054.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/41v901259936054.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5x8081259936054.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/612nn1259936054.tab") 
> system("convert tmp/11ocv1259936054.ps tmp/11ocv1259936054.png")
> system("convert tmp/2agz91259936054.ps tmp/2agz91259936054.png")
> system("convert tmp/3r11o1259936054.ps tmp/3r11o1259936054.png")
> system("convert tmp/41v901259936054.ps tmp/41v901259936054.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.136   0.636   5.073