R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-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(1.4761,1.4721,1.487,1.5167,1.5812,1.554,1.5508,1.5764,1.5611,1.4735,1.4303,1.2757,1.2727,1.3917,1.2816,1.2644,1.3308,1.3275,1.4098,1.4134,1.4138,1.4272,1.4643,1.48,1.5023,1.4406,1.3966,1.357,1.3479,1.3315,1.2307,1.2271,1.3028,1.268,1.3648,1.3857,1.2998,1.3362,1.3692,1.3834,1.4207,1.486,1.4385,1.4453,1.426,1.445,1.3503,1.4001,1.3418,1.2939,1.3176,1.3443,1.3356,1.3214,1.2403,1.259,1.2284,1.2611,1.293,1.2993,1.2986)
> par8 = 'FALSE'
> par7 = '1'
> par6 = ''
> par5 = '1'
> par4 = ''
> par3 = '0'
> par2 = 'periodic'
> par1 = '12'
> main = 'Seasonal Decomposition by Loess'
> par8 <- 'FALSE'
> par7 <- '1'
> par6 <- ''
> par5 <- '1'
> par4 <- ''
> par3 <- '0'
> par2 <- 'periodic'
> par1 <- '12'
> #'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 -0.021659721 1.561052 -0.063292738
Feb 1 -0.016697531 1.550465 -0.061667216
Mar 1 -0.026030799 1.539877 -0.026846238
Apr 1 -0.017681134 1.527484  0.006896861
May 1  0.017988552 1.515092  0.048119939
Jun 1  0.021940109 1.501557  0.030503060
Jul 1 -0.005008348 1.488022  0.067786194
Aug 1  0.007696967 1.474342  0.094361526
Sep 1  0.012362320 1.460661  0.088076819
Oct 1  0.004866133 1.442068  0.026565429
Nov 1  0.014409956 1.423476 -0.007585972
Dec 1  0.007813485 1.403402 -0.135515338
Jan 2 -0.021659721 1.383328 -0.088967969
Feb 2 -0.016697531 1.370608  0.037789897
Mar 2 -0.026030799 1.357888 -0.050256781
Apr 2 -0.017681134 1.357261 -0.075180358
May 2  0.017988552 1.356635 -0.043823957
Jun 2  0.021940109 1.367180 -0.061620122
Jul 2 -0.005008348 1.377725  0.037083727
Aug 2  0.007696967 1.390498  0.015205373
Sep 2  0.012362320 1.403271 -0.001833019
Oct 2  0.004866133 1.410728  0.011606161
Nov 2  0.014409956 1.418185  0.031705331
Dec 2  0.007813485 1.414949  0.057237587
Jan 3 -0.021659721 1.411713  0.112246578
Feb 3 -0.016697531 1.398913  0.058384170
Mar 3 -0.026030799 1.386114  0.036517219
Apr 3 -0.017681134 1.370959  0.003721810
May 3  0.017988552 1.355805 -0.025893620
Jun 3  0.021940109 1.342733 -0.033173230
Jul 3 -0.005008348 1.329661 -0.093952826
Aug 3  0.007696967 1.323114 -0.103710989
Sep 3  0.012362320 1.316567 -0.026129190
Oct 3  0.004866133 1.320435 -0.057300840
Nov 3  0.014409956 1.324303  0.026087499
Dec 3  0.007813485 1.337180  0.040706446
Jan 4 -0.021659721 1.350058 -0.028597873
Feb 4 -0.016697531 1.365048 -0.012150474
Mar 4 -0.026030799 1.380038  0.015192381
Apr 4 -0.017681134 1.389665  0.011416279
May 4  0.017988552 1.399291  0.003420157
Jun 4  0.021940109 1.402260  0.061799707
Jul 4 -0.005008348 1.405229  0.038279271
Aug 4  0.007696967 1.402967  0.034636058
Sep 4  0.012362320 1.400705  0.012932807
Oct 4  0.004866133 1.393539  0.046594858
Nov 4  0.014409956 1.386373 -0.050483101
Dec 4  0.007813485 1.374367  0.017919128
Jan 5 -0.021659721 1.362362  0.001098091
Feb 5 -0.016697531 1.347575 -0.036977857
Mar 5 -0.026030799 1.332789  0.010841651
Apr 5 -0.017681134 1.321120  0.040860969
May 5  0.017988552 1.309451  0.008160266
Jun 5  0.021940109 1.302594 -0.003134176
Jul 5 -0.005008348 1.295737 -0.050428604
Aug 5  0.007696967 1.289012 -0.037708949
Sep 5  0.012362320 1.282287 -0.066249333
Oct 5  0.004866133 1.275725 -0.019491517
Nov 5  0.014409956 1.269164  0.009426289
Dec 5  0.007813485 1.263322  0.028164776
Jan 6 -0.021659721 1.257480  0.062779996
> m$win
  s   t   l 
611  19  13 
> m$deg
s t l 
0 1 1 
> m$jump
 s  t  l 
62  2  2 
> m$inner
[1] 2
> m$outer
[1] 0
> postscript(file="/var/fisher/rcomp/tmp/1mxxr1356086989.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/fisher/rcomp/tmp/222721356086989.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/fisher/rcomp/tmp/3gb6o1356086989.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/fisher/rcomp/tmp/4sbev1356086989.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/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/5c14z1356086989.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/fisher/rcomp/tmp/6k4q71356086989.tab") 
> 
> try(system("convert tmp/1mxxr1356086989.ps tmp/1mxxr1356086989.png",intern=TRUE))
character(0)
> try(system("convert tmp/222721356086989.ps tmp/222721356086989.png",intern=TRUE))
character(0)
> try(system("convert tmp/3gb6o1356086989.ps tmp/3gb6o1356086989.png",intern=TRUE))
character(0)
> try(system("convert tmp/4sbev1356086989.ps tmp/4sbev1356086989.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.377   0.720   3.085