R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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> x <- c(152512,151944,151368,150176,161968,161344,152512,146640,147208,147208,147840,148976,150744,150744,149608,146640,161968,164304,160776,152512,156048,150744,153136,154280,155472,152512,153136,148976,161968,166072,162544,156048,163112,155472,162544,161968,163736,157240,164304,163736,174336,171944,162544,157808,164304,155472,161968,163112,165504,160208,163112,164880,171376,166072,159008,151368,158440,139000,148408,153704,159008,151368,151368,151368,155472,149608,141912,135472,140144,121904,133080,139576,140768,134272,134840,133080,139000,134840,126640,120712,130736,108968,123104,129544,129544,121904,114840,114272,120712,114840,103672,95976,104240,84808,102472,111872,114840,108344,100136,106008,108344,106576,88904,80704,86568,68904,87144,93640,98936,90104,81840,86568,88904,84232,66568,58872,65936,46504,67704,80704)
> 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]   5292.2191    334.6636   -384.0772    718.8488   8950.7377   7016.4784
 [7]   -776.2253  -7049.8920   -490.5957 -13020.8920  -2697.4846   2106.2191
> postscript(file="/var/wessaorg/rcomp/tmp/1kugb1438339329.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/25bd01438339329.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3xim81438339329.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4ezyk1438339329.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5pib41438339329.tab") 
> 
> try(system("convert tmp/1kugb1438339329.ps tmp/1kugb1438339329.png",intern=TRUE))
character(0)
> try(system("convert tmp/25bd01438339329.ps tmp/25bd01438339329.png",intern=TRUE))
character(0)
> try(system("convert tmp/3xim81438339329.ps tmp/3xim81438339329.png",intern=TRUE))
character(0)
> try(system("convert tmp/4ezyk1438339329.ps tmp/4ezyk1438339329.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.832   0.312   2.160