R version 2.6.2 (2008-02-08)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(4356.5,4340.3,4321.5,4302.8,4285.7,4270.5,4253,4236.9,4231.6,4223.7,4209.2,4192.5,4178.5,4167,4159,4148.1,4142.7,4147.6,4146.1,4141,4142.4,4149,4145.3,4154.7,4157.9,4146.7,4140.1,4125.8,4102.7,4076.7,4060.5,4041.7,4016.2,3997.2,3993,3991.3,3971.8,3947.3,3929.8,3914.7,3902.8,3893.3,3887.1,3881.8,3883.4,3883.2,3876.4,3872.4,3872.6,3868.7,3858.7,3818.2,3810.3,3806.8,3811.4,3818.2,3826.8,3833.6,3833,3839.5,3855.1,3860.4,3855.8,3856.3,3861.6,3858.4,3854.1,3851.8,3851.3,3844.8,3833.3,3826.9,3813.1,3795.5,3779.7,3765.5,3747.7,3735.4,3735.8,3705.8,3674.3,3665.8,3652.5,3649.7,3649.5,3647.3,3646.8,3640.6,3629.5,3618.4,3611.9,3611.4,3607.7,3606.9,3603.9,3596.9,3604.2,3612.2,3623.5,3639,3647.5,3660.6,3679.4,3691.4,3697.4,3707.1,3722.7)
> 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] 10.9116898  7.6248843  4.7665509 -3.2390046 -5.6320602 -6.2633102
 [7] -2.6869213 -4.5209491 -5.0049769 -1.3903935 -0.9855324  6.4200231
> postscript(file="/var/www/html/rcomp/tmp/1cax81211204386.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/26x8i1211204386.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/33af21211204386.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4eyrc1211204386.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5joij1211204386.tab") 
> 
> system("convert tmp/1cax81211204386.ps tmp/1cax81211204386.png")
> system("convert tmp/26x8i1211204386.ps tmp/26x8i1211204386.png")
> system("convert tmp/33af21211204386.ps tmp/33af21211204386.png")
> system("convert tmp/4eyrc1211204386.ps tmp/4eyrc1211204386.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.424   0.612   1.638