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(-820.8,993.3,741.7,603.6,-145.8,-35.1,395.1,523.1,462.3,183.4,791.5,344.8,-217.0,406.7,228.6,-580.1,-1550.4,-1447.5,-40.1,-1033.5,-925.6,-347.8,-447.7,-102.6,-2062.2,-929.7,-720.7,-1541.8,-1432.3,-1216.2,-212.8,-378.2,76.9,-101.3,220.4,495.6,-1035.2,61.8,-734.8,-6.9,-1061.1,-854.6,-186.5,244.0,-992.6,-335.2,316.8,477.6,-572.1,1115.2)
> 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 -778.04136  515.47858 -558.237218
Feb 1  501.21604  489.67782    2.406139
Mar 1  127.34117  463.87706  150.481774
Apr 1 -115.42844  435.40277  283.625668
May 1 -764.29737  406.92848  211.568888
Jun 1 -603.45075  377.47169  190.879054
Jul 1  275.62115  348.01491 -228.536059
Aug 1  126.49857  314.13604   82.465388
Sep 1  -56.14825  280.25718  238.191071
Oct 1  146.05976  212.40524 -175.064999
Nov 1  524.21755  144.55329  122.729158
Dec 1  616.41203   50.71503 -322.327062
Jan 2 -778.04136  -43.12323  604.164590
Feb 2  501.21604 -141.78087   47.264825
Mar 2  127.34117 -240.43851  341.697338
Apr 2 -115.42844 -334.02792 -130.643646
May 2 -764.29737 -427.61733 -358.485304
Jun 2 -603.45075 -521.67481 -322.374446
Jul 2  275.62115 -615.73228  300.011133
Aug 2  126.49857 -706.16408 -453.834486
Sep 2  -56.14825 -796.59588  -72.855868
Oct 2  146.05976 -850.94268  357.082919
Nov 2  524.21755 -905.28948  -66.628069
Dec 2  616.41203 -912.25886  193.246828
Jan 3 -778.04136 -919.22824 -364.930401
Feb 3  501.21604 -888.31578 -542.600262
Mar 3  127.34117 -857.40333    9.362155
Apr 3 -115.42844 -798.80074 -627.570826
May 3 -764.29737 -740.19815   72.195518
Jun 3 -603.45075 -664.28215   51.532893
Jul 3  275.62115 -588.36614   99.944989
Aug 3  126.49857 -516.69306   11.994491
Sep 3  -56.14825 -445.01998  578.068229
Oct 3  146.05976 -393.67668  146.316920
Nov 3  524.21755 -342.33339   38.515837
Dec 3  616.41203 -318.47215  197.660114
Jan 4 -778.04136 -294.61091   37.452265
Feb 4  501.21604 -298.99693 -140.419109
Mar 4  127.34117 -303.38296 -558.758206
Apr 4 -115.42844 -318.87826  427.406695
May 4 -764.29737 -334.37355   37.570920
Jun 4 -603.45075 -302.98286   51.833604
Jul 4  275.62115 -271.59216 -190.528993
Aug 4  126.49857 -225.51934  343.020774
Sep 4  -56.14825 -179.44653 -757.005222
Oct 4  146.05976 -132.68276 -348.577000
Nov 4  524.21755  -85.91900 -121.498552
Dec 4  616.41203  -36.28091 -102.531123
Jan 5 -778.04136   13.35718  192.584178
Feb 5  501.21604   67.53882  546.445133
> m$win
  s   t   l 
501  19  13 
> m$deg
s t l 
0 1 1 
> m$jump
 s  t  l 
51  2  2 
> m$inner
[1] 2
> m$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1lzm91291927104.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2lzm91291927104.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3w8mu1291927104.ps",horizontal=F,onefile=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/4w8mu1291927104.ps",horizontal=F,onefile=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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/52amg1291927105.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/66a341291927105.tab") 
> 
> try(system("convert tmp/1lzm91291927104.ps tmp/1lzm91291927104.png",intern=TRUE))
character(0)
> try(system("convert tmp/2lzm91291927104.ps tmp/2lzm91291927104.png",intern=TRUE))
character(0)
> try(system("convert tmp/3w8mu1291927104.ps tmp/3w8mu1291927104.png",intern=TRUE))
character(0)
> try(system("convert tmp/4w8mu1291927104.ps tmp/4w8mu1291927104.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.916   0.661   2.341