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)

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> x <- c(655362,873127,1107897,1555964,1671159,1493308,2957796,2638691,1305669,1280496,921900,867888,652586,913831,1108544,1555827,1699283,1509458,3268975,2425016,1312703,1365498,934453,775019,651142,843192,1146766,1652601,1465906,1652734,2922334,2702805,1458956,1410363,1019279,936574,708917,885295,1099663,1576220,1487870,1488635,2882530,2677026,1404398,1344370,936865,872705,628151,953712,1160384,1400618,1661511,1495347,2918786,2775677,1407026,1370199,964526,850851,683118,847224,1073256,1514326,1503734,1507712,2865698,2788128,1391596,1366378,946295,859626)
> 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 -794327.45 1461368 -1.167889e+04
Feb 1 -571497.80 1458573 -1.394855e+04
Mar 1 -341497.49 1455778 -6.383872e+03
Apr 1   84223.90 1453415  1.832514e+04
May 1  122422.04 1451052  9.768539e+04
Jun 1   65235.37 1449518 -2.144535e+04
Jul 1 1509914.28 1447984 -1.026842e+02
Aug 1 1208627.85 1446921 -1.685828e+04
Sep 1  -79028.31 1445858 -6.116113e+04
Oct 1 -102317.77 1445985 -6.317158e+04
Nov 1 -504097.56 1446112 -2.011469e+04
Dec 1 -597657.00 1452180  1.336544e+04
Jan 2 -794327.45 1458247 -1.133342e+04
Feb 2 -571497.80 1463090  2.223885e+04
Mar 2 -341497.49 1467933 -1.789155e+04
Apr 2   84223.90 1468633  2.969866e+03
May 2  122422.04 1469333  1.075275e+05
Jun 2   65235.37 1466122 -2.189913e+04
Jul 2 1509914.28 1462910  2.961506e+05
Aug 2 1208627.85 1459281 -2.428933e+05
Sep 2  -79028.31 1455653 -6.392154e+04
Oct 2 -102317.77 1452145  1.567098e+04
Nov 2 -504097.56 1448637 -1.008616e+04
Dec 2 -597657.00 1447258 -7.458160e+04
Jan 3 -794327.45 1445878 -4.090370e+02
Feb 3 -571497.80 1450839 -3.614919e+04
Mar 3 -341497.49 1455800  3.246398e+04
Apr 3   84223.90 1464830  1.035471e+05
May 3  122422.04 1473860 -1.303765e+05
Jun 3   65235.37 1481404  1.060946e+05
Jul 3 1509914.28 1488948 -7.652802e+04
Aug 3 1208627.85 1491878  2.298714e+03
Sep 3  -79028.31 1494809  4.317519e+04
Oct 3 -102317.77 1492313  2.036746e+04
Nov 3 -504097.56 1489818  3.355906e+04
Dec 3 -597657.00 1484002  5.022903e+04
Jan 4 -794327.45 1478186  2.505801e+04
Feb 4 -571497.80 1471349 -1.455641e+04
Mar 4 -341497.49 1464512 -2.335149e+04
Apr 4   84223.90 1458121  3.387529e+04
May 4  122422.04 1451730 -8.628169e+04
Jun 4   65235.37 1447857 -2.445699e+04
Jul 4 1509914.28 1443984 -7.136787e+04
Aug 4 1208627.85 1444149  2.424895e+04
Sep 4  -79028.31 1444315  3.911150e+04
Oct 4 -102317.77 1446692 -4.437283e+00
Nov 4 -504097.56 1449070 -8.107045e+03
Dec 4 -597657.00 1451928  1.843423e+04
Jan 5 -794327.45 1454786 -3.230749e+04
Feb 5 -571497.80 1457629  6.758118e+04
Mar 5 -341497.49 1460471  4.141019e+04
Apr 5   84223.90 1462600 -1.462063e+05
May 5  122422.04 1464729  7.435953e+04
Jun 5   65235.37 1465533 -3.542102e+04
Jul 5 1509914.28 1466336 -5.746415e+04
Aug 5 1208627.85 1464905  1.021441e+05
Sep 5  -79028.31 1463474  2.258006e+04
Oct 5 -102317.77 1460675  1.184185e+04
Nov 5 -504097.56 1457876  1.074798e+04
Dec 5 -597657.00 1453486 -4.978072e+03
Jan 6 -794327.45 1449097  2.834889e+04
Feb 6 -571497.80 1446368 -2.764575e+04
Mar 6 -341497.49 1443639 -2.888504e+04
Apr 6   84223.90 1445497 -1.539501e+04
May 6  122422.04 1447356 -6.604374e+04
Jun 6   65235.37 1448649 -6.172709e+03
Jul 6 1509914.28 1449943 -9.415927e+04
Aug 6 1208627.85 1451911  1.275890e+05
Sep 6  -79028.31 1453879  1.674493e+04
Oct 6 -102317.77 1456704  1.199201e+04
Nov 6 -504097.56 1459528 -9.135569e+03
Dec 6 -597657.00 1462778 -5.495138e+03
> m$win
  s   t   l 
721  19  13 
> m$deg
s t l 
0 1 1 
> m$jump
 s  t  l 
73  2  2 
> m$inner
[1] 2
> m$outer
[1] 0
> postscript(file="/var/wessaorg/rcomp/tmp/12uzk1355669301.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m,main=main)
> dev.off()
null device 
          1 
> mylagmax <- nx/2
> postscript(file="/var/wessaorg/rcomp/tmp/2kb531355669301.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$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/36hal1355669301.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/4403y1355669301.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$jump['l'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/55kc91355669301.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observed',header=TRUE)
> a<-table.element(a,'Fitted',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Remainder',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:nx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]+m$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/6ccgh1355669301.tab") 
> 
> try(system("convert tmp/12uzk1355669301.ps tmp/12uzk1355669301.png",intern=TRUE))
character(0)
> try(system("convert tmp/2kb531355669301.ps tmp/2kb531355669301.png",intern=TRUE))
character(0)
> try(system("convert tmp/36hal1355669301.ps tmp/36hal1355669301.png",intern=TRUE))
character(0)
> try(system("convert tmp/4403y1355669301.ps tmp/4403y1355669301.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.423   0.381   2.822