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(6.3,6.2,6.1,6.3,6.5,6.6,6.5,6.2,6.2,5.9,6.1,6.1,6.1,6.1,6.1,6.4,6.7,6.9,7,7,6.8,6.4,5.9,5.5,5.5,5.6,5.8,5.9,6.1,6.1,6,6,5.9,5.5,5.6,5.4,5.2,5.2,5.2,5.5,5.8,5.8,5.5,5.3,5.1,5.2,5.8,5.8,5.5,5,4.9,5.3,6.1,6.5,6.8,6.6,6.4,6.4)
> 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 -0.25569215 6.434075  0.1216167712
Feb 1 -0.35431138 6.401495  0.1528168313
Mar 1 -0.35293069 6.368914  0.0840169781
Apr 1 -0.09486549 6.342000  0.0528651051
May 1  0.26319963 6.315087 -0.0782866812
Jun 1  0.39912845 6.293043 -0.0921709656
Jul 1  0.37505726 6.270998 -0.1460552500
Aug 1  0.23446932 6.251309 -0.2857786084
Sep 1  0.09388123 6.231621 -0.1255018223
Oct 1 -0.11121847 6.233860 -0.2226414888
Nov 1 -0.02476878 6.236099 -0.1113305508
Dec 1 -0.17194873 6.271523  0.0004255914
Jan 2 -0.25569215 6.306947  0.0487452052
Feb 2 -0.35431138 6.356117  0.0981948610
Mar 2 -0.35293069 6.405286  0.0476446035
Apr 2 -0.09486549 6.432051  0.0628142361
May 2  0.26319963 6.458816 -0.0220160445
Jun 2  0.39912845 6.437212  0.0636599695
Jul 2  0.37505726 6.415607  0.2093359835
Aug 2  0.23446932 6.368547  0.3969839551
Sep 2  0.09388123 6.321487  0.3846320713
Oct 2 -0.11121847 6.266151  0.2450670603
Nov 2 -0.02476878 6.210816 -0.2860473462
Dec 2 -0.17194873 6.140021 -0.4680727307
Jan 3 -0.25569215 6.069227 -0.3135346436
Feb 3 -0.35431138 5.996430 -0.0421186637
Mar 3 -0.35293069 5.923633  0.2292974030
Apr 3 -0.09486549 5.874827  0.1200381348
May 3  0.26319963 5.826021  0.0107789535
Jun 3  0.39912845 5.795616 -0.0947439949
Jul 3  0.37505726 5.765210 -0.1402669434
Aug 3  0.23446932 5.730355  0.0351756502
Sep 3  0.09388123 5.695500  0.1106183884
Oct 3 -0.11121847 5.662349 -0.0511300966
Nov 3 -0.02476878 5.629197 -0.0044279769
Dec 3 -0.17194873 5.596588 -0.0246393620
Jan 4 -0.25569215 5.563979 -0.1082872756
Feb 4 -0.35431138 5.520177  0.0341342773
Mar 4 -0.35293069 5.476375  0.0765559170
Apr 4 -0.09486549 5.448077  0.1467881725
May 4  0.26319963 5.419780  0.1170205148
Jun 4  0.39912845 5.422106 -0.0212348559
Jul 4  0.37505726 5.424433 -0.2994902265
Aug 4  0.23446932 5.428386 -0.3628553293
Sep 4  0.09388123 5.432339 -0.4262202875
Oct 4 -0.11121847 5.443564 -0.1323454937
Nov 4 -0.02476878 5.454789  0.3699799048
Dec 4 -0.17194873 5.510826  0.4611230851
Jan 5 -0.25569215 5.566862  0.1888297369
Feb 5 -0.35431138 5.664212 -0.3099004571
Mar 5 -0.35293069 5.761561 -0.5086305644
Apr 5 -0.09486549 5.853793 -0.4589271307
May 5  0.26319963 5.946024 -0.1092236102
Jun 5  0.39912845 6.038955  0.0619163304
Jul 5  0.37505726 6.131886  0.2930562710
Aug 5  0.23446932 6.229207  0.1363233135
Sep 5  0.09388123 6.326528 -0.0204094994
Oct 5 -0.11121847 6.427257  0.0839611452
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1vvk41259941560.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/26nb61259941560.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3w9bw1259941560.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/4h8eb1259941560.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5zj661259941560.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/60nz11259941560.tab") 
> system("convert tmp/1vvk41259941560.ps tmp/1vvk41259941560.png")
> system("convert tmp/26nb61259941560.ps tmp/26nb61259941560.png")
> system("convert tmp/3w9bw1259941560.ps tmp/3w9bw1259941560.png")
> system("convert tmp/4h8eb1259941560.ps tmp/4h8eb1259941560.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.967   0.618   1.266