R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(3221816.00
+ ,3209817.00
+ ,3197649.00
+ ,3172468.00
+ ,3421574.00
+ ,3408392.00
+ ,3221816.00
+ ,3097770.00
+ ,3109769.00
+ ,3109769.00
+ ,3123120.00
+ ,3147118.00
+ ,3184467.00
+ ,3184467.00
+ ,3160469.00
+ ,3097770.00
+ ,3421574.00
+ ,3470922.00
+ ,3396393.00
+ ,3221816.00
+ ,3296514.00
+ ,3184467.00
+ ,3234998.00
+ ,3259165.00
+ ,3284346.00
+ ,3221816.00
+ ,3234998.00
+ ,3147118.00
+ ,3421574.00
+ ,3508271.00
+ ,3433742.00
+ ,3296514.00
+ ,3445741.00
+ ,3284346.00
+ ,3433742.00
+ ,3421574.00
+ ,3458923.00
+ ,3321695.00
+ ,3470922.00
+ ,3458923.00
+ ,3682848.00
+ ,3632317.00
+ ,3433742.00
+ ,3333694.00
+ ,3470922.00
+ ,3284346.00
+ ,3421574.00
+ ,3445741.00
+ ,3496272.00
+ ,3384394.00
+ ,3445741.00
+ ,3483090.00
+ ,3620318.00
+ ,3508271.00
+ ,3359044.00
+ ,3197649.00
+ ,3347045.00
+ ,2936375.00
+ ,3135119.00
+ ,3246997.00
+ ,3359044.00
+ ,3197649.00
+ ,3197649.00
+ ,3197649.00
+ ,3284346.00
+ ,3160469.00
+ ,2997891.00
+ ,2861846.00
+ ,2960542.00
+ ,2575222.00
+ ,2811315.00
+ ,2948543.00
+ ,2973724.00
+ ,2836496.00
+ ,2848495.00
+ ,2811315.00
+ ,2936375.00
+ ,2848495.00
+ ,2675270.00
+ ,2550041.00
+ ,2761798.00
+ ,2301949.00
+ ,2600572.00
+ ,2736617.00
+ ,2736617.00
+ ,2575222.00
+ ,2425995.00
+ ,2413996.00
+ ,2550041.00
+ ,2425995.00
+ ,2190071.00
+ ,2027493.00
+ ,2202070.00
+ ,1791569.00
+ ,2164721.00
+ ,2363296.00
+ ,2425995.00
+ ,2288767.00
+ ,2115373.00
+ ,2239419.00
+ ,2288767.00
+ ,2251418.00
+ ,1878097.00
+ ,1704872.00
+ ,1828749.00
+ ,1455597.00
+ ,1840917.00
+ ,1978145.00
+ ,2090023.00
+ ,1903447.00
+ ,1728870.00
+ ,1828749.00
+ ,1878097.00
+ ,1779401.00
+ ,1406249.00
+ ,1243671.00
+ ,1392898.00
+ ,982397.00
+ ,1430247.00
+ ,1704872.00)
> par2 = '12'
> par1 = 'additive'
> par2 <- '12'
> par1 <- 'additive'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 ()
> #Author: root
> #To cite this work: Wessa P., (2013), Classical Decomposition (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_decompose.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> par2 <- as.numeric(par2)
> x <- ts(x,freq=par2)
> m <- decompose(x,type=par1)
> m$figure
 [1]  111798.129    7069.768   -8113.630   15185.680  189084.333  148223.106
 [7]  -16397.760 -148928.968  -10363.834 -275066.343  -56984.361   44493.879
> postscript(file="/var/wessaorg/rcomp/tmp/1w46n1439141047.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/2u31b1439141047.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$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
> acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
> acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3w7gg1439141047.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4jxth1439141047.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observations',header=TRUE)
> a<-table.element(a,'Fit',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Random',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:length(m$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,signif(m$trend[i]+m$seasonal[i],6)) else a<-table.element(a,signif(m$trend[i]*m$seasonal[i],6))
+ a<-table.element(a,signif(m$trend[i],6))
+ a<-table.element(a,signif(m$seasonal[i],6))
+ a<-table.element(a,signif(m$random[i],6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/5turk1439141047.tab") 
> 
> try(system("convert tmp/1w46n1439141047.ps tmp/1w46n1439141047.png",intern=TRUE))
character(0)
> try(system("convert tmp/2u31b1439141047.ps tmp/2u31b1439141047.png",intern=TRUE))
character(0)
> try(system("convert tmp/3w7gg1439141047.ps tmp/3w7gg1439141047.png",intern=TRUE))
character(0)
> try(system("convert tmp/4jxth1439141047.ps tmp/4jxth1439141047.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.015   0.325   2.351