R version 3.2.2 (2015-08-14) -- "Fire Safety"
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> x <- c(71.83,71.39,73.71,74.13,74.45,74.95,75.09,75.23,76.11,76.64,76.97,78.23,77.15,76.33,70.19,68.42,66.49,63.41,62.92,65.53,65.26,68.25,74.39,78.71,82.15,86.05,89.46,89.32,88.94,93.35,94.72,96.11,104.06,104.11,103.9,110.75,110.82,107.59,96.03,95.69,90.63,75.87,75.57,78.78,74.93,75.85,75.49,76.87,78.18,79.37,80.59,81.18,81.02,82.75,83.63,85.35,90.52,90.66,90.69,92.56,92.87,93.82,96.32,96.03,96.53,102.96,102.38,102.66,106.83,106.5,106.78,108.49,108.77,110.43,110.84,110.52,110.11,109.42,109.06,108.98,108.36,108.11,108.44,107.76,106.27,101.07,100.79,100.97,99.33,99.35,99.23,98.14,98.17,98.48,99,99.19,99.1,100.13,100.07,95.26,94.72,94.25,89.46,88.38,88.57,93.82,93.94,93.92)
> 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]  2.60271267  2.39437934  0.94849392 -0.06838108 -1.44874566 -2.42009983
 [7] -2.56291233 -1.83213108 -0.43661024 -0.13895399  0.52792101  2.43432726
> postscript(file="/var/wessaorg/rcomp/tmp/1pzuf1448540711.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/25q4k1448540711.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3dh7e1448540711.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4sv131448540711.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5571s1448540711.tab") 
> 
> try(system("convert tmp/1pzuf1448540711.ps tmp/1pzuf1448540711.png",intern=TRUE))
character(0)
> try(system("convert tmp/25q4k1448540711.ps tmp/25q4k1448540711.png",intern=TRUE))
character(0)
> try(system("convert tmp/3dh7e1448540711.ps tmp/3dh7e1448540711.png",intern=TRUE))
character(0)
> try(system("convert tmp/4sv131448540711.ps tmp/4sv131448540711.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.802   0.299   2.106