R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(10700,12400,12000,12800,11800,11900,11900,12300,11700,11900,11900,14000,11300,12600,12600,12600,11300,12200,11800,12800,11400,11600,11700,14100,11000,12800,13300,12600,10700,12600,12700,14100,11600,11300,11600,13000,10800,13800,12600,12500,9900,11800,12400,15000,11500,11100,10800,12700,10500,14900,12800,12300,9600,11000,12700,15300,12900,11200,11000,13100,10200,15100,12600,11600,9700,10200,12100,15300,13500,10700,11400,12500,9300,15100,12300,11800,9600,9600,12400,16400,13500,11000,11200,12900,8900,15600,12500,11700,9000,8600,13100,16100,14400,11300,12200,14000,9300,14900,12500,11600,9100,8800,13000,15500,14600,11200,12700,14100)
> 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] -1904.34028  2260.76389   528.99306   -44.96528 -2270.48611 -1537.67361
 [7]   277.43056  2546.70139   431.07639  -865.27778  -632.46528  1210.24306
> postscript(file="/var/wessaorg/rcomp/tmp/1wpae1405423295.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/2x5t21405423295.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/301kf1405423295.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/48ih01405423295.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5ucsy1405423295.tab") 
> 
> try(system("convert tmp/1wpae1405423295.ps tmp/1wpae1405423295.png",intern=TRUE))
character(0)
> try(system("convert tmp/2x5t21405423295.ps tmp/2x5t21405423295.png",intern=TRUE))
character(0)
> try(system("convert tmp/301kf1405423295.ps tmp/301kf1405423295.png",intern=TRUE))
character(0)
> try(system("convert tmp/48ih01405423295.ps tmp/48ih01405423295.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.702   0.232   1.951