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(111.5,108.1,124.5,106.3,111.1,121.3,116.5,117.4,123.6,98.4,107.2,118.9,111.9,115.2,124.4,104.6,117,126.2,117.5,122.2,124.1,105.8,107.5,125.6,112.1,120.1,130.6,109.8,122.1,129.5,132.1,133.3,128.4,114.7,114.1,136.9,123.4,134,137,127.8,140.1,140.4,157.8,151.8,141.1,138.8,141.1,139.5,150.7,144.4,146,143.6,143.1,156.4,164.8,145.1,153.4,133.2,131.4,145.9)
> 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  -3.5853481 113.2365  1.8488651
Feb 1  -1.7302535 113.3084 -3.4781816
Mar 1   5.8248342 113.3804  5.2947784
Apr 1  -8.6652581 113.4961  1.4691168
May 1  -0.8153412 113.6119 -1.6965540
Jun 1   6.8971848 113.7586  0.6442253
Jul 1   9.5097146 113.9053 -6.9149992
Aug 1   5.3583665 114.0421 -2.0004785
Sep 1   5.1470072 114.1789  4.2740534
Oct 1 -11.2504274 114.4027 -4.7523052
Nov 1  -9.6278691 114.6265  2.2013432
Dec 1   2.9373888 114.9460  1.0166523
Jan 2  -3.5853481 115.2654  0.2199562
Feb 2  -1.7302535 115.5181  1.4121850
Mar 2   5.8248342 115.7707  2.8044206
Apr 2  -8.6652581 115.9774 -2.7121537
May 2  -0.8153412 116.1841  1.6312629
Jun 2   6.8971848 116.4368  2.8660571
Jul 2   9.5097146 116.6894 -8.6991526
Aug 2   5.3583665 117.0459 -0.2043016
Sep 2   5.1470072 117.4024  1.5505606
Oct 2 -11.2504274 117.9033 -0.8528914
Nov 2  -9.6278691 118.4042 -1.2763363
Dec 2   2.9373888 119.0542  3.6083771
Jan 3  -3.5853481 119.7043 -4.0189147
Feb 3  -1.7302535 120.4286  1.4016550
Mar 3   5.8248342 121.1529  3.6222314
Apr 3  -8.6652581 121.8253 -3.3600573
May 3  -0.8153412 122.4977  0.4176448
Jun 3   6.8971848 123.2805 -0.6776907
Jul 3   9.5097146 124.0633 -1.4730299
Aug 3   5.3583665 125.0223  2.9193450
Sep 3   5.1470072 125.9813 -2.7282689
Oct 3 -11.2504274 127.1601 -1.2097013
Nov 3  -9.6278691 128.3390 -4.6111267
Dec 3   2.9373888 129.7914  4.1711887
Jan 4  -3.5853481 131.2438 -4.2585011
Feb 4  -1.7302535 132.8566  2.8737017
Mar 4   5.8248342 134.4693 -3.2940888
Apr 4  -8.6652581 136.1345  0.3307245
May 4  -0.8153412 137.7998  3.1155286
Jun 4   6.8971848 139.2896 -5.7867538
Jul 4   9.5097146 140.7793  7.5109600
Aug 4   5.3583665 141.9669  4.4747744
Sep 4   5.1470072 143.1544 -7.2013999
Oct 4 -11.2504274 144.0204  6.0300216
Nov 4  -9.6278691 144.8864  5.8414501
Dec 4   2.9373888 145.5094 -8.9467475
Jan 5  -3.5853481 146.1323  8.1530495
Feb 5  -1.7302535 146.4347 -0.3044885
Mar 5   5.8248342 146.7372 -6.5620197
Apr 5  -8.6652581 146.5286  5.7366835
May 5  -0.8153412 146.3200 -2.4046224
Jun 5   6.8971848 146.0682  3.4345988
Jul 5   9.5097146 145.8165  9.4738162
Aug 5   5.3583665 145.5530 -5.8113302
Sep 5   5.1470072 145.2895  2.9635346
Oct 5 -11.2504274 144.9798 -0.5293725
Nov 5  -9.6278691 144.6701 -3.6422725
Dec 5   2.9373888 144.3144 -1.3517886
> 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$outer
[1] 0
> postscript(file="/var/www/html/rcomp/tmp/1hvun1259929892.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/www/html/rcomp/tmp/24z111259929892.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/3p1sb1259929892.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/4vs611259929892.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5p4at1259929892.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6rq3r1259929892.tab") 
> system("convert tmp/1hvun1259929892.ps tmp/1hvun1259929892.png")
> system("convert tmp/24z111259929892.ps tmp/24z111259929892.png")
> system("convert tmp/3p1sb1259929892.ps tmp/3p1sb1259929892.png")
> system("convert tmp/4vs611259929892.ps tmp/4vs611259929892.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.956   0.612   2.212