R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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> x <- c(1.5469,1.5501,1.5494,1.5475,1.5449,1.5391,1.5578,1.5528,1.5496,1.549,1.5449,1.5479,1.5494,1.558,1.5691,1.5748,1.5564,1.5601,1.5687,1.5775,1.5841,1.5898,1.5922,1.5969,1.6155,1.6212,1.6124,1.6375,1.6506,1.6543,1.6567,1.6383,1.6475,1.6706,1.6485,1.6592,1.6203,1.608,1.572,1.5964,1.6247,1.6139,1.6193,1.6212,1.5942,1.5194,1.5162,1.5393,1.4935,1.4904,1.5083,1.5147,1.5118,1.5148,1.5202,1.5236,1.5148,1.5138,1.5105,1.502,1.4765,1.4671,1.4482,1.4337,1.4181,1.3767,1.346,1.3413,1.3089,1.3452,1.3442,1.2811,1.2779,1.2974,1.2867,1.2977,1.2537,1.2092,1.1766,1.1203,1.2005,1.2295,1.2307,1.2276,1.2108,1.2071,1.2061,1.2023,1.2012,1.2011,1.2011,1.2011,1.2089,1.2098,1.2052,1.2091,1.2288,1.2298,1.2266,1.2199,1.2418,1.2322,1.2366,1.2338,1.2338,1.2316,1.2316,1.2245)
> 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] -0.0048603733 -0.0007384983 -0.0036322483  0.0056156684  0.0065630642
 [6] -0.0021207899 -0.0029431858 -0.0084056858 -0.0010062066  0.0047062934
[11]  0.0036536892  0.0031682726
> postscript(file="/var/wessaorg/rcomp/tmp/1he5m1432671778.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/2gqw51432671778.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/32t3r1432671778.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/41va31432671778.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5bvdx1432671778.tab") 
> 
> try(system("convert tmp/1he5m1432671778.ps tmp/1he5m1432671778.png",intern=TRUE))
character(0)
> try(system("convert tmp/2gqw51432671778.ps tmp/2gqw51432671778.png",intern=TRUE))
character(0)
> try(system("convert tmp/32t3r1432671778.ps tmp/32t3r1432671778.png",intern=TRUE))
character(0)
> try(system("convert tmp/41va31432671778.ps tmp/41va31432671778.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.752   0.239   2.003