R version 3.2.3 (2015-12-10) -- "Wooden Christmas-Tree"
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> x <- c(173019,173690,172439,171914,171968,169500,173898,172308,171568,164939,161275,160770,162466,160185,154836,154103,150495,142707,149962,149967,144572,143819,141070,144119,145330,143279,139063,139202,133632,134476,141859,140693,138047,138346,140167,146796,152228,155410,159032,160312,157687,160141,167421,167628,164403,163405,163229,171154,173323,172381,168983,165380,161641,161933,172018,168455,164332,161193,157645,161694,163411,161834,159511,156359,154223,151497,160607,159672,155601,154668,153960,157307,165218,165616,162212,159787,157454,156485,165887,166836,163541,163973,164805,167521,174347,173374,172198,171055,168385,167281,177670,177280,174846,174476,174595,178392,185345,183293,181081,177795,173552,170734,179293,178659,175894,174815,173506,175376)
> 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]  4610.2010  3762.0239  1399.4145  -289.9293 -3770.5699 -5387.2209
 [7]  3439.9145  2515.3260  -820.8251 -2407.8407 -3455.8459   405.3520
> postscript(file="/var/wessaorg/rcomp/tmp/1t83n1451745157.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/2zy6a1451745157.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/32qgm1451745157.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4lhq21451745157.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/58key1451745157.tab") 
> 
> try(system("convert tmp/1t83n1451745157.ps tmp/1t83n1451745157.png",intern=TRUE))
character(0)
> try(system("convert tmp/2zy6a1451745157.ps tmp/2zy6a1451745157.png",intern=TRUE))
character(0)
> try(system("convert tmp/32qgm1451745157.ps tmp/32qgm1451745157.png",intern=TRUE))
character(0)
> try(system("convert tmp/4lhq21451745157.ps tmp/4lhq21451745157.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.712   0.305   2.032