R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
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(11.73,11.74,11.65,11.38,11.53,11.75,11.82,11.83,11.63,11.55,11.4,11.4,11.63,11.46,11.35,11.7,11.52,11.64,11.9,11.73,11.7,11.54,11.97,11.64,11.98,11.79,11.66,11.96,11.83,12.36,12.53,12.55,12.53,12.24,12.34,12.05,12.22,12.23,11.92,12.13,12.1,12.15,12.23,12.08,12.02,11.93,12.16,11.87,11.93,11.79,11.43,11.63,11.93,11.89,11.83,11.59,12.04,11.81,11.9,11.72,11.91,11.94,11.91,11.84,12.01,11.89,11.8,11.7,11.5,11.76,11.61,11.27,11.64,11.39,11.54,11.62,11.59,11.44,11.31,11.56,11.4,11.51,11.5,11.24,11.8)
> 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. 1.2.327 ()
> #Author: root
> #To cite this work: Wessa P., (2013), Decomposition by Loess (v1.0.2) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_decomposeloess.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> par1 <- as.numeric(par1) #seasonal period
> if (par2 != 'periodic') par2 <- as.numeric(par2) #s.window
> par3 <- as.numeric(par3) #s.degree
> if (par4 == '') par4 <- NULL else par4 <- as.numeric(par4)#t.window
> par5 <- as.numeric(par5)#t.degree
> if (par6 != '') par6 <- as.numeric(par6)#l.window
> par7 <- as.numeric(par7)#l.degree
> if (par8 == 'FALSE') par8 <- FALSE else par9 <- TRUE #robust
> nx <- length(x)
> x <- ts(x,frequency=par1)
> if (par6 != '') {
+ m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.window=par6, l.degree=par7, robust=par8)
+ } else {
+ m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.degree=par7, robust=par8)
+ }
> m$time.series
          seasonal    trend    remainder
Jan 1  0.086164842 11.69701 -0.053172077
Feb 1 -0.041727195 11.68348  0.098249219
Mar 1 -0.162316051 11.66995  0.142367333
Apr 1 -0.045111571 11.65643 -0.231320397
May 1 -0.006478692 11.64292 -0.106436527
Jun 1  0.081678890 11.62916  0.039159055
Jul 1  0.125550739 11.61541  0.079040369
Aug 1  0.072696002 11.60248  0.154828075
Sep 1  0.042698674 11.58954 -0.002241627
Oct 1 -0.024113358 11.58259 -0.008475594
Nov 1  0.054789111 11.57563 -0.230424060
Dec 1 -0.183831440 11.57426  0.009575911
Jan 2  0.086164842 11.57288 -0.029040951
Feb 2 -0.041727195 11.57603 -0.074297879
Mar 2 -0.162316051 11.57917 -0.066857988
Apr 2 -0.045111571 11.59467  0.150437846
May 2 -0.006478692 11.61017 -0.083694719
Jun 2  0.081678890 11.63533 -0.077007961
Jul 2  0.125550739 11.66048  0.113964529
Aug 2  0.072696002 11.68755 -0.030250259
Sep 2  0.042698674 11.71462 -0.057322456
Oct 2 -0.024113358 11.74401 -0.179901207
Nov 2  0.054789111 11.77341  0.141805542
Dec 2 -0.183831440 11.81754  0.006292541
Jan 3  0.086164842 11.86167  0.032162706
Feb 3 -0.041727195 11.92107 -0.089345901
Mar 3 -0.162316051 11.98047 -0.158157690
Apr 3 -0.045111571 12.03766 -0.032545477
May 3 -0.006478692 12.09484 -0.258361663
Jun 3  0.081678890 12.13639  0.141927629
Jul 3  0.125550739 12.17795  0.226502653
Aug 3  0.072696002 12.20673  0.270569922
Sep 3  0.042698674 12.23552  0.251779781
Oct 3 -0.024113358 12.24582  0.018297315
Nov 3  0.054789111 12.25611  0.029100349
Dec 3 -0.183831440 12.24140 -0.007570015
Jan 4  0.086164842 12.22669 -0.092857214
Feb 4 -0.041727195 12.19588  0.075846988
Mar 4 -0.162316051 12.16507 -0.082751992
Apr 4 -0.045111571 12.13832  0.036791821
May 4 -0.006478692 12.11157 -0.005092765
Jun 4  0.081678890 12.08951 -0.021187650
Jul 4  0.125550739 12.06745  0.037003196
Aug 4  0.072696002 12.03841 -0.031101880
Sep 4  0.042698674 12.00937 -0.032064366
Oct 4 -0.024113358 11.97718 -0.023066867
Nov 4  0.054789111 11.94499  0.160216132
Dec 4 -0.183831440 11.91539  0.138441488
Jan 5  0.086164842 11.88579 -0.041949990
Feb 5 -0.041727195 11.86064 -0.028913368
Mar 5 -0.162316051 11.83550 -0.243179929
Apr 5 -0.045111571 11.81849 -0.143377985
May 5 -0.006478692 11.80148  0.134995560
Jun 5  0.081678890 11.79740  0.010925764
Jul 5  0.125550739 11.79331 -0.088858300
Aug 5  0.072696002 11.80635 -0.289044467
Sep 5  0.042698674 11.81939  0.177911958
Oct 5 -0.024113358 11.83805 -0.003934428
Nov 5  0.054789111 11.85671 -0.011495315
Dec 5 -0.183831440 11.86546  0.038366951
Jan 6  0.086164842 11.87422 -0.050387616
Feb 6 -0.041727195 11.86721  0.114518216
Mar 6 -0.162316051 11.86020  0.212120867
Apr 6 -0.045111571 11.83732  0.047793662
May 6 -0.006478692 11.81444  0.202038057
Jun 6  0.081678890 11.78128  0.027039516
Jul 6  0.125550739 11.74812 -0.073673294
Aug 6  0.072696002 11.71112 -0.083818842
Sep 6  0.042698674 11.67412 -0.216821799
Oct 6 -0.024113358 11.64311  0.141005056
Nov 6  0.054789111 11.61209 -0.056882590
Dec 6 -0.183831440 11.58617 -0.132334067
Jan 7  0.086164842 11.56024 -0.006402378
Feb 7 -0.041727195 11.53951 -0.107787036
Mar 7 -0.162316051 11.51879  0.183525125
Apr 7 -0.045111571 11.50649  0.158624311
May 7 -0.006478692 11.49418  0.102295097
Jun 7  0.081678890 11.49131 -0.132989183
Jul 7  0.125550739 11.48844 -0.303987732
Aug 7  0.072696002 11.48543  0.001872431
Sep 7  0.042698674 11.48243 -0.125124816
Oct 7 -0.024113358 11.47980  0.054309395
Nov 7  0.054789111 11.47718 -0.031970894
Dec 7 -0.183831440 11.47620 -0.052372541
Jan 8  0.086164842 11.47523  0.238608978
> m$win
  s   t   l 
851  19  13 
> m$deg
s t l 
0 1 1 
> m$jump
 s  t  l 
86  2  2 
> m$inner
[1] 2
> m$outer
[1] 0
> postscript(file="/var/fisher/rcomp/tmp/1ailv1385116172.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/fisher/rcomp/tmp/28mjr1385116172.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/32zgb1385116172.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/4y6by1385116172.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/5fxe61385116173.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6zyr31385116173.tab") 
> 
> try(system("convert tmp/1ailv1385116172.ps tmp/1ailv1385116172.png",intern=TRUE))
character(0)
> try(system("convert tmp/28mjr1385116172.ps tmp/28mjr1385116172.png",intern=TRUE))
character(0)
> try(system("convert tmp/32zgb1385116172.ps tmp/32zgb1385116172.png",intern=TRUE))
character(0)
> try(system("convert tmp/4y6by1385116172.ps tmp/4y6by1385116172.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.554   0.520   3.059