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(19915,19843,19761,20858,21968,23061,22661,22269,21857,21568,21274,20987,19683,19381,19071,20772,22485,24181,23479,22782,22067,21489,20903,20330,19736,19483,19242,20334,21423,22523,21986,21462,20908,20575,20237,19904,19610,19251,18941,20450,21946,23409,22741,22069,21539,21189,20960,20704,19697,19598,19456,20316,21083,22158,21469,20892,20578,20233,19947,20049)
> 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 -1350.68353 21329.51  -63.821709
Feb 1 -1547.31074 21324.10   66.208992
Mar 1 -1743.93793 21318.70  186.239672
Apr 1  -476.14822 21313.13   21.019334
May 1   774.84151 21307.56 -114.401023
Jun 1  2073.64146 21299.87 -312.515585
Jul 1  1487.84123 21292.19 -119.029979
Aug 1   932.34640 21280.92   55.729094
Sep 1   444.25152 21269.66  143.088222
Oct 1    92.92976 21268.37  206.695552
Nov 1  -225.99201 21267.09  232.902881
Dec 1  -461.77960 21305.65  143.130859
Jan 2 -1350.68353 21344.21 -310.524828
Feb 2 -1547.31074 21386.36 -458.044593
Mar 2 -1743.93793 21428.50 -613.564380
Apr 2  -476.14822 21443.99 -195.842585
May 2   774.84151 21459.48  250.679189
Jun 2  2073.64146 21456.77  650.586163
Jul 2  1487.84123 21454.07  537.093304
Aug 2   932.34640 21438.10  411.549213
Sep 2   444.25152 21422.14  200.605177
Oct 2    92.92976 21360.55   35.522381
Nov 2  -225.99201 21298.95 -169.960415
Dec 2  -461.77960 21190.29 -398.513665
Jan 3 -1350.68353 21081.63    5.049422
Feb 3 -1547.31074 20976.44   53.873066
Mar 3 -1743.93793 20871.24  114.696688
Apr 3  -476.14822 20796.50   13.643473
May 3   774.84151 20721.77  -73.609762
Jun 3  2073.64146 20677.45 -228.091928
Jul 3  1487.84123 20633.13 -134.973925
Aug 3   932.34640 20614.09  -84.437895
Sep 3   444.25152 20595.05 -131.301811
Oct 3    92.92976 20612.61 -130.541636
Nov 3  -225.99201 20630.17 -167.181461
Dec 3  -461.77960 20683.86 -318.082921
Jan 4 -1350.68353 20737.55  223.131954
Feb 4 -1547.31074 20802.58   -4.268451
Mar 4 -1743.93793 20867.61 -182.668878
Apr 4  -476.14822 20927.19   -1.037019
May 4   774.84151 20986.76  184.394820
Jun 4  2073.64146 21031.95  303.408137
Jul 4  1487.84123 21077.14  176.021622
Aug 4   932.34640 21100.28   36.373870
Sep 4   444.25152 21123.42  -28.673826
Oct 4    92.92976 21104.40   -8.333799
Nov 4  -225.99201 21085.39  100.606228
Dec 4  -461.77960 21011.24  154.535072
Jan 5 -1350.68353 20937.10  110.580251
Feb 5 -1547.31074 20838.17  307.137342
Mar 5 -1743.93793 20739.24  460.694411
Apr 5  -476.14822 20648.77  143.377486
May 5   774.84151 20558.30 -250.139459
Jun 5  2073.64146 20475.67 -391.312590
Jul 5  1487.84123 20393.04 -411.885552
Aug 5   932.34640 20307.77 -348.112556
Sep 5   444.25152 20222.49  -88.739504
Oct 5    92.92976 20139.04    1.035084
Nov 5  -225.99201 20055.58  117.409673
Dec 5  -461.77960 19976.37  534.413386
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1sath1260974068.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2w4q81260974068.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3qric1260974068.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/44qg71260974068.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/56s331260974068.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/604su1260974068.tab") 
> try(system("convert tmp/1sath1260974068.ps tmp/1sath1260974068.png",intern=TRUE))
character(0)
> try(system("convert tmp/2w4q81260974068.ps tmp/2w4q81260974068.png",intern=TRUE))
character(0)
> try(system("convert tmp/3qric1260974068.ps tmp/3qric1260974068.png",intern=TRUE))
character(0)
> try(system("convert tmp/44qg71260974068.ps tmp/44qg71260974068.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.959   0.603   1.436