R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(579,572,560,551,537,541,588,607,599,578,563,566,561,554,540,526,512,505,554,584,569,540,522,526,527,516,503,489,479,475,524,552,532,511,492,492,493,481,462,457,442,439,488,521,501,485,464,460,467,460,448,443,436,431,484,510,513,503,471,471)
> 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   4.570771 576.8750 -2.4457763
Feb 1  -2.379691 575.5660 -1.1863146
Mar 1 -14.530152 574.2570  0.2731469
Apr 1 -22.552379 572.9068  0.6455552
May 1 -33.174604 571.5566 -1.3820380
Jun 1 -34.888219 570.1745  5.7137124
Jul 1  15.798169 568.7924  3.4094612
Aug 1  44.240556 567.3696 -4.6101077
Sep 1  33.482931 565.9467 -0.4296644
Oct 1  15.501622 564.1010 -1.6026153
Nov 1  -4.079682 562.2553  4.8244283
Dec 1  -1.989320 559.8335  8.1558147
Jan 2   4.570771 557.4118 -0.9825281
Feb 2  -2.379691 554.7498  1.6298909
Mar 2 -14.530152 552.0878  2.4423097
Apr 2 -22.552379 549.0604 -0.5080205
May 2 -33.174604 546.0330 -0.8583524
Jun 2 -34.888219 542.8212 -2.9329532
Jul 2  15.798169 539.6094 -1.4075555
Aug 2  44.240556 536.5453  3.2141814
Sep 2  33.482931 533.4811  2.0359305
Oct 2  15.501622 530.5768 -6.0783988
Nov 2  -4.079682 527.6724 -1.5927336
Dec 2  -1.989320 524.9657  3.0235795
Jan 3   4.570771 522.2591  0.1701635
Feb 3  -2.379691 519.6273 -1.2476539
Mar 3 -14.530152 516.9956  0.5345284
Apr 3 -22.552379 514.3606 -2.8081751
May 3 -33.174604 511.7255  0.4491198
Jun 3 -34.888219 508.9988  0.8894279
Jul 3  15.798169 506.2721  1.9297345
Aug 3  44.240556 503.3522  4.4072624
Sep 3  33.482931 500.4323 -1.9151975
Oct 3  15.501622 497.3660 -1.8676677
Nov 3  -4.079682 494.2998  1.7798567
Dec 3  -1.989320 491.2621  2.7271750
Jan 4   4.570771 488.2245  0.2047642
Feb 4  -2.379691 485.4720 -2.0922875
Mar 4 -14.530152 482.7195 -6.1893395
Apr 4 -22.552379 480.2975 -0.7450986
May 4 -33.174604 477.8755 -2.7008593
Jun 4 -34.888219 475.7020 -1.8137889
Jul 4  15.798169 473.5286 -1.3267201
Aug 4  44.240556 471.8163  4.9431661
Sep 4  33.482931 470.1040 -2.5869354
Oct 4  15.501622 468.9593  0.5391268
Nov 4  -4.079682 467.8145  0.2651835
Dec 4  -1.989320 467.1227 -5.1334106
Jan 5   4.570771 466.4310 -4.0017339
Feb 5  -2.379691 466.4050 -4.0253335
Mar 5 -14.530152 466.3791 -3.8489333
Apr 5 -22.552379 467.5849 -2.0325355
May 5 -33.174604 468.7907  0.3838608
Jun 5 -34.888219 469.9261 -4.0378582
Jul 5  15.798169 471.0614 -2.8595788
Aug 5  44.240556 472.2626 -6.5031634
Sep 5  33.482931 473.4638  6.0532643
Oct 5  15.501622 474.7753 12.7231007
Nov 5  -4.079682 476.0868 -1.0070684
Dec 5  -1.989320 477.4632 -4.4738808
> 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$outer
[1] 0
> postscript(file="/var/wessaorg/rcomp/tmp/1ahj81322492805.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/wessaorg/rcomp/tmp/287yv1322492805.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/wessaorg/rcomp/tmp/3i25p1322492805.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/wessaorg/rcomp/tmp/4yqbo1322492805.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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/5derv1322492805.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/wessaorg/rcomp/tmp/68ezb1322492805.tab") 
> 
> try(system("convert tmp/1ahj81322492805.ps tmp/1ahj81322492805.png",intern=TRUE))
character(0)
> try(system("convert tmp/287yv1322492805.ps tmp/287yv1322492805.png",intern=TRUE))
character(0)
> try(system("convert tmp/3i25p1322492805.ps tmp/3i25p1322492805.png",intern=TRUE))
character(0)
> try(system("convert tmp/4yqbo1322492805.ps tmp/4yqbo1322492805.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.272   0.201   1.479