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(1258,1199,1158,1427,934,709,1186,986,1033,1257,1105,1179,1092,1092,1087,2028,2039,2010,754,760,715,855,971,815,915,843,761,1858,2968,4061,3661,3269,2857,2568,2274,1987,683,381,71,1772,3485,5181,4479,3782,3067,2489,1903,1330,736,483,242,1334,2423,3523,2986,2462,1908,1575,1237,904)
> 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  -776.12521 1404.910   629.215564
Feb 1  -927.54369 1345.281   781.262627
Mar 1 -1077.56218 1285.652   949.909703
Apr 1   -69.31861 1250.455   245.863787
May 1   604.92505 1215.257  -886.182212
Jun 1  1335.58516 1192.764 -1819.349473
Jul 1   855.64466 1170.271  -839.916116
Aug 1   513.67051 1146.044  -673.714812
Sep 1   197.29630 1121.817  -286.113438
Oct 1    36.03704 1173.012    47.951379
Nov 1  -208.82212 1224.206    89.616101
Dec 1  -483.78601 1297.868   364.917766
Jan 2  -776.12521 1371.530   496.594740
Feb 2  -927.54369 1358.077   661.467022
Mar 2 -1077.56218 1344.623   819.939316
Apr 2   -69.31861 1284.213   813.105940
May 2   604.92505 1223.802   210.272481
Jun 2  1335.58516 1167.202  -492.787655
Jul 2   855.64466 1110.603 -1212.247171
Aug 2   513.67051 1085.713  -839.383606
Sep 2   197.29630 1060.824  -543.119971
Oct 2    36.03704 1115.884  -296.920971
Nov 2  -208.82212 1170.944     8.877934
Dec 2  -483.78601 1332.314   -33.528305
Jan 3  -776.12521 1493.684   197.440764
Feb 3  -927.54369 1691.518    79.025286
Mar 3 -1077.56218 1889.352   -50.790181
Apr 3   -69.31861 2040.662  -113.342901
May 3   604.92505 2191.971   171.104296
Jun 3  1335.58516 2264.681   460.733700
Jul 3   855.64466 2337.392   467.963723
Aug 3   513.67051 2326.692   428.637454
Sep 3   197.29630 2315.992   343.711256
Oct 3    36.03704 2286.454   245.509061
Nov 3  -208.82212 2256.915   225.906772
Dec 3  -483.78601 2274.351   196.435395
Jan 4  -776.12521 2291.786  -832.660672
Feb 4  -927.54369 2340.689 -1032.144867
Mar 4 -1077.56218 2389.591 -1241.029050
Apr 4   -69.31861 2428.110  -586.791201
May 4   604.92505 2466.628   413.446565
Jun 4  1335.58516 2484.781  1360.633915
Jul 4   855.64466 2502.933  1120.421885
Aug 4   513.67051 2485.378   782.951793
Sep 4   197.29630 2467.822   401.881773
Oct 4    36.03704 2378.300    74.662664
Nov 4  -208.82212 2288.779  -176.956539
Dec 4  -483.78601 2158.995  -345.209168
Jan 5  -776.12521 2029.212  -517.086489
Feb 5  -927.54369 1930.771  -520.227256
Mar 5 -1077.56218 1832.330  -512.768011
Apr 5   -69.31861 1797.343  -394.023920
May 5   604.92505 1762.355    55.720087
Jun 5  1335.58516 1729.522   457.892834
Jul 5   855.64466 1696.689   433.666202
Aug 5   513.67051 1672.020   276.309969
Sep 5   197.29630 1647.350    63.353807
Oct 5    36.03704 1625.399   -86.436453
Nov 5  -208.82212 1603.449  -157.626807
Dec 5  -483.78601 1580.567  -192.781012
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1num91259941828.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/2odus1259941828.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/35olb1259941828.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/4x8pb1259941828.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5fy231259941828.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6jqas1259941828.tab") 
> system("convert tmp/1num91259941828.ps tmp/1num91259941828.png")
> system("convert tmp/2odus1259941828.ps tmp/2odus1259941828.png")
> system("convert tmp/35olb1259941828.ps tmp/35olb1259941828.png")
> system("convert tmp/4x8pb1259941828.ps tmp/4x8pb1259941828.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.964   0.614   1.136