R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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> x <- c(1053000,1014000,1072500,858000,1111500,1092000,1170000,1209000,1345500,1170000,1111500,1384500,1170000,877500,1033500,780000,1092000,897000,1189500,1072500,1131000,1267500,1248000,1482000,1072500,897000,994500,721500,1033500,799500,1131000,1072500,955500,1365000,1228500,1404000,1053000,975000,877500,721500,955500,858000,1170000,1131000,975000,1306500,1209000,1560000,1248000,760500,760500,760500,897000,897000,1209000,1111500,994500,1248000,1150500,1657500,1306500,760500,799500,663000,916500,1053000,1326000,1306500,1053000,1228500,1092000,1560000,1189500,955500,858000,643500,955500,1150500,1345500,1267500,936000,1345500,1053000,1618500,1345500,975000,897000,604500,955500,916500,1384500,1384500,1053000,1365000,1014000,1579500,1345500,994500,760500,526500,1033500,994500,1306500,1501500,1111500,1248000,936000,1618500)
> 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]  132564.45 -186544.92 -213662.11 -407849.61 -105091.80 -139521.48
 [7]  150439.45  102705.08  -34505.86  200408.20   53853.52  447205.08
> postscript(file="/var/wessaorg/rcomp/tmp/14fsf1439210750.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/2me8e1439210750.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3pwuj1439210750.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4noeq1439210750.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/51d0e1439210750.tab") 
> 
> try(system("convert tmp/14fsf1439210750.ps tmp/14fsf1439210750.png",intern=TRUE))
character(0)
> try(system("convert tmp/2me8e1439210750.ps tmp/2me8e1439210750.png",intern=TRUE))
character(0)
> try(system("convert tmp/3pwuj1439210750.ps tmp/3pwuj1439210750.png",intern=TRUE))
character(0)
> try(system("convert tmp/4noeq1439210750.ps tmp/4noeq1439210750.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.815   0.266   2.091