R version 3.2.2 (2015-08-14) -- "Fire Safety"
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> x <- c(98.85,98.86,98.86,98.89,98.85,98.85,98.85,98.96,98.99,99.21,99.29,99.32,99.32,99.17,99.13,99.12,99.23,99.25,99.25,99.36,99.43,99.57,99.64,99.68,99.68,99.52,99.69,99.7,99.85,99.94,99.94,99.93,100.19,100.57,100.76,100.86,100.86,100.39,100.61,100.67,100.81,100.86,100.86,100.98,101.03,101.37,101.64,101.68,101.68,101.25,101.24,101.11,101.08,101.09,101.09,101.62,101.66,101.96,102.04,102.02,102.02,101.51,101.62,101.83,102.06,102.14,102.14,102.59,102.92,103.31,103.54,103.58,103.58,102.83,102.86,103.03,103.2,103.28,103.28,103.79,103.92,104.26,104.41,104.45,99.92,99.18,99.18,99.35,99.62,99.67,99.72,100.08,100.39,100.77,101.03,101.07,101.29,101.1,101.2,101.15,101.24,101.16,100.81,101.02,101.15,101.06,101.17,101.22)
> par2 = '12'
> par1 = 'multiplicative'
> par2 <- '12'
> par1 <- 'multiplicative'
> #'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] 1.0002675 0.9958672 0.9963631 0.9966799 0.9978848 0.9980632 0.9976974
 [8] 1.0001294 1.0013955 1.0042334 1.0056367 1.0057818
> postscript(file="/var/wessaorg/rcomp/tmp/1z1vz1448807715.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/21gx21448807715.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3b5411448807715.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/43akd1448807715.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/533ix1448807715.tab") 
> 
> try(system("convert tmp/1z1vz1448807715.ps tmp/1z1vz1448807715.png",intern=TRUE))
character(0)
> try(system("convert tmp/21gx21448807715.ps tmp/21gx21448807715.png",intern=TRUE))
character(0)
> try(system("convert tmp/3b5411448807715.ps tmp/3b5411448807715.png",intern=TRUE))
character(0)
> try(system("convert tmp/43akd1448807715.ps tmp/43akd1448807715.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.742   0.282   2.037