R version 3.2.2 (2015-08-14) -- "Fire Safety"
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> x <- c(91.99,92.17,92.19,92.24,92.19,92.21,92.22,92.14,92.43,92.93,93.01,93.07,93.08,93.11,93.21,93.49,93.48,93.51,93.52,93.49,93.76,94.25,94.42,94.45,94.45,94.53,94.78,95.05,95.21,95.23,95.23,95.34,95.93,96.75,97.15,97.21,97.21,97.35,97.44,97.34,97.44,97.43,97.43,97.47,97.69,98.54,98.64,98.72,98.72,98.73,98.68,98.75,98.73,98.74,98.75,98.85,99.14,99.83,99.93,100,100,100.08,100.25,100.4,100.33,100.29,100.29,100.32,100.82,101.42,101.46,101.55,101.56,101.56,101.6,101.66,101.82,101.94,101.95,101.93,102.26,102.65,102.9,102.94,99.14,99.18,99.23,99.32,99.46,99.5,99.95,100.13,100.43,101.09,101.27,101.29,101.04,101.14,101.11,101.01,101.08,101.06,101.26,101.32,101.4,101.85,102.12,102.15)
> 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] -0.08580295 -0.12069878 -0.13773003 -0.14090712 -0.16856337 -0.24455295
 [7] -0.26158420 -0.31418837 -0.05861545  0.47424913  0.54726997  0.51112413
> postscript(file="/var/wessaorg/rcomp/tmp/1ftqq1448536769.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/2by8e1448536769.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/37zgc1448536769.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4a6es1448536769.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5htlb1448536769.tab") 
> 
> try(system("convert tmp/1ftqq1448536769.ps tmp/1ftqq1448536769.png",intern=TRUE))
character(0)
> try(system("convert tmp/2by8e1448536769.ps tmp/2by8e1448536769.png",intern=TRUE))
character(0)
> try(system("convert tmp/37zgc1448536769.ps tmp/37zgc1448536769.png",intern=TRUE))
character(0)
> try(system("convert tmp/4a6es1448536769.ps tmp/4a6es1448536769.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.702   0.329   2.043