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(1664.81,2397.53,2840.71,3547.29,3752.96,3714.74,4349.61,3566.34,5021.82,6423.48,7600.60,19756.21,2499.81,5198.24,7225.14,4806.03,5900.88,4951.34,6179.12,4752.15,5496.43,5835.10,12600.08,28541.72,4717.02,5702.63,9957.58,5304.78,6492.43,6630.80,7349.62,8176.62,8573.17,9690.50,15151.84,34061.01,5921.10,5814.58,12421.25,6369.77,7609.12,7224.75,8121.22,7979.25,8093.06,8476.70,17914.66,30114.41,4826.64,6470.23,9638.77,8821.17,8722.37,10209.48,11276.55,12552.22,11637.39,13606.89,21822.11,45060.69,7615.03,9849.69,14558.40,11587.33,9332.56,13082.09,16732.78,19888.61,23933.38,25391.35,36024.80,80721.71,10243.24,11266.88,21826.84,17357.33,15997.79,18601.53,26155.15,28586.52,30505.41,30821.33,46634.38,104660.67)
> par2 = '12'
> par1 = 'additive'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par2 <- as.numeric(par2)
> x <- ts(x,freq=par2)
> m <- decompose(x,type=par1)
> m$figure
 [1] -6650.1615 -5562.1051  -691.8707 -4601.8646 -5074.2387 -4827.4476
 [7] -2452.6359 -2089.4193 -1309.5168  -425.8064  6341.6020 27343.4647
> postscript(file="/var/www/html/rcomp/tmp/1ysth1275744286.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m)
> dev.off()
null device 
          1 
> mylagmax <- length(x)/2
> postscript(file="/var/www/html/rcomp/tmp/2ysth1275744286.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$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
> acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
> acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/39jsk1275744286.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
> spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
> spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4kbr51275744286.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
> cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
> cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observations',header=TRUE)
> a<-table.element(a,'Fit',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Random',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:length(m$trend)) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
+ a<-table.element(a,m$trend[i])
+ a<-table.element(a,m$seasonal[i])
+ a<-table.element(a,m$random[i])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5swfz1275744286.tab") 
> 
> try(system("convert tmp/1ysth1275744286.ps tmp/1ysth1275744286.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ysth1275744286.ps tmp/2ysth1275744286.png",intern=TRUE))
character(0)
> try(system("convert tmp/39jsk1275744286.ps tmp/39jsk1275744286.png",intern=TRUE))
character(0)
> try(system("convert tmp/4kbr51275744286.ps tmp/4kbr51275744286.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.042   0.614   1.298