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(14.3,14.2,15.9,15.3,15.5,15.1,15,12.1,15.8,16.9,15.1,13.7,14.8,14.7,16,15.4,15,15.5,15.1,11.7,16.3,16.7,15,14.9,14.6,15.3,17.9,16.4,15.4,17.9,15.9,13.9,17.8,17.9,17.4,16.7,16,16.6,19.1,17.8,17.2,18.6,16.3,15.1,19.2,17.7,19.1,18,17.5,17.8,21.1,17.2,19.4,19.8,17.6,16.2,19.5,19.9,20,17.3)
> 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 -0.76991970 14.86439  0.20552863
Feb 1 -0.55465121 14.88040 -0.12574659
Mar 1  1.66061694 14.89640 -0.65702149
Apr 1  0.03068761 14.91020  0.35911526
May 1  0.06075671 14.92399  0.51525358
Jun 1  0.89308776 14.93687 -0.72996160
Jul 1 -0.55458236 14.94976  0.60482440
Aug 1 -2.78797194 14.96414 -0.07617205
Sep 1  1.07863881 14.97853 -0.25716883
Oct 1  1.11384167 14.98707  0.79909323
Nov 1  0.54904531 14.99560 -0.44464550
Dec 1 -0.71954950 14.99318 -0.57363400
Jan 2 -0.76991970 14.99077  0.57915288
Feb 2 -0.55465121 14.99282  0.26183414
Mar 2  1.66061694 14.99487 -0.65548428
Apr 2  0.03068761 15.00449  0.36481843
May 2  0.06075671 15.01412 -0.07487730
Jun 2  0.89308776 15.04210 -0.43518473
Jul 2 -0.55458236 15.07007  0.58450903
Aug 2 -2.78797194 15.13091 -0.64294084
Sep 2  1.07863881 15.19175  0.02960897
Oct 2  1.11384167 15.28759  0.29856944
Nov 2  0.54904531 15.38343 -0.93247088
Dec 2 -0.71954950 15.50371  0.11583688
Jan 3 -0.76991970 15.62400 -0.25407997
Feb 3 -0.55465121 15.76321  0.09143857
Mar 3  1.66061694 15.90243  0.33695744
Apr 3  0.03068761 16.05067  0.31864717
May 3  0.06075671 16.19890 -0.85966153
Jun 3  0.89308776 16.33690  0.67000789
Jul 3 -0.55458236 16.47490 -0.02032151
Aug 3 -2.78797194 16.59311  0.09485766
Sep 3  1.07863881 16.71132  0.01003650
Oct 3  1.11384167 16.81924 -0.03308194
Nov 3  0.54904531 16.92716 -0.07620117
Dec 3 -0.71954950 17.01712  0.40242683
Jan 4 -0.76991970 17.10709 -0.33716979
Feb 4 -0.55465121 17.18076 -0.02611032
Mar 4  1.66061694 17.25443  0.18494947
Apr 4  0.03068761 17.33091  0.43840531
May 4  0.06075671 17.40738 -0.26813730
Jun 4  0.89308776 17.50340  0.20351402
Jul 4 -0.55458236 17.59942 -0.74483347
Aug 4 -2.78797194 17.70800  0.17997068
Sep 4  1.07863881 17.81659  0.30477451
Oct 4  1.11384167 17.92246 -1.33630262
Nov 4  0.54904531 18.02834  0.52261948
Dec 4 -0.71954950 18.13746  0.58209310
Jan 5 -0.76991970 18.24658  0.02334212
Feb 5 -0.55465121 18.34245  0.01220281
Mar 5  1.66061694 18.43832  1.00106382
Apr 5  0.03068761 18.49038 -1.32106419
May 5  0.06075671 18.54243  0.79680935
Jun 5  0.89308776 18.58169  0.32522355
Jul 5 -0.55458236 18.62094 -0.46636106
Aug 5 -2.78797194 18.65503  0.33294458
Sep 5  1.07863881 18.68911 -0.26775010
Oct 5  1.11384167 18.71975  0.06640748
Nov 5  0.54904531 18.75039  0.70056428
Dec 5 -0.71954950 18.77878 -0.75923065
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1l8bf1259957636.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2duos1259957636.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3qjhg1259957636.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/4f43k1259957636.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5yuvs1259957636.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6mdlx1259957636.tab") 
> system("convert tmp/1l8bf1259957636.ps tmp/1l8bf1259957636.png")
> system("convert tmp/2duos1259957636.ps tmp/2duos1259957636.png")
> system("convert tmp/3qjhg1259957636.ps tmp/3qjhg1259957636.png")
> system("convert tmp/4f43k1259957636.ps tmp/4f43k1259957636.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.952   0.607   1.141