R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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> x <- c(1544400,1487200,1573000,1258400,1630200,1601600,1716000,1773200,1973400,1716000,1630200,2030600,1716000,1287000,1515800,1144000,1601600,1315600,1744600,1573000,1658800,1859000,1830400,2173600,1573000,1315600,1458600,1058200,1515800,1172600,1658800,1573000,1401400,2002000,1801800,2059200,1544400,1430000,1287000,1058200,1401400,1258400,1716000,1658800,1430000,1916200,1773200,2288000,1830400,1115400,1115400,1115400,1315600,1315600,1773200,1630200,1458600,1830400,1687400,2431000,1916200,1115400,1172600,972400,1344200,1544400,1944800,1916200,1544400,1801800,1601600,2288000,1744600,1401400,1258400,943800,1401400,1687400,1973400,1859000,1372800,1973400,1544400,2373800,1973400,1430000,1315600,886600,1401400,1344200,2030600,2030600,1544400,2002000,1487200,2316600,1973400,1458600,1115400,772200,1515800,1458600,1916200,2202200,1630200,1830400,1372800,2373800)
> 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]  194427.86 -273599.22 -313371.09 -598179.43 -154134.64 -204631.51
 [7]  220644.53  150634.11  -50608.59  293932.03   78985.16  655900.78
> postscript(file="/var/wessaorg/rcomp/tmp/17yq61439743082.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/2lwyf1439743082.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3kf591439743082.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/45nnd1439743082.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5yz8s1439743082.tab") 
> 
> try(system("convert tmp/17yq61439743082.ps tmp/17yq61439743082.png",intern=TRUE))
character(0)
> try(system("convert tmp/2lwyf1439743082.ps tmp/2lwyf1439743082.png",intern=TRUE))
character(0)
> try(system("convert tmp/3kf591439743082.ps tmp/3kf591439743082.png",intern=TRUE))
character(0)
> try(system("convert tmp/45nnd1439743082.ps tmp/45nnd1439743082.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.816   0.256   2.091