R version 3.3.2 (2016-10-31) -- "Sincere Pumpkin Patch"
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> x <- c(94.46,96.91,101.92,104.53,105.85,106.39,106.08,106.42,106.51,106.59,105.71,104.41,103.04,100.99,100.93,99.31,99.79,99.57,99.11,98.96,97.72,99.35,98.15,97.64,97.49,97.94,98.03,98.05,97.54,98.71,99.33,99.16,98.41,98.43,97.02,97.89,97.92,97.37,97.42,96.12,96.72,96.64,95.28,95.3,95.02,95.57,94.78,95.27,96.14,96.16,95.08,94.39,94.15,94.58,94.16,95.02,94.86,94.49,94.81,94.16,94.83,96.02,95.97,95.88,95.97,97.55,97.49,98.4,98.2,97.16,96.96,96.37,96.34,96.86,96.32,95.44,92.85,92.56,91.74,92.44,93.19,92.62,94.04,93.8,96.73,98.99,100.38,101.07,99.92,101.78,100.91,100.49,101.17,100.25,98.94,99.4,100.02,99.91,99.22,98.84,98.42,97.59,97.07,96.59,95.96,94.22,94.48,93.14,93.73,94.24,98.52,99.09,99.84,99.13,100.88,100.83,101.6,101.8,102.77,103.14)
> 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] 0.9981545 1.0013577 1.0056659 1.0018971 0.9987434 1.0022417 1.0008711
 [8] 1.0029524 1.0012616 0.9989089 0.9952570 0.9926886
> postscript(file="/var/wessaorg/rcomp/tmp/1j25y1483958744.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/2slf11483958744.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3hniy1483958744.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4hh3i1483958744.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5lzup1483958744.tab") 
> 
> try(system("convert tmp/1j25y1483958744.ps tmp/1j25y1483958744.png",intern=TRUE))
character(0)
> try(system("convert tmp/2slf11483958744.ps tmp/2slf11483958744.png",intern=TRUE))
character(0)
> try(system("convert tmp/3hniy1483958744.ps tmp/3hniy1483958744.png",intern=TRUE))
character(0)
> try(system("convert tmp/4hh3i1483958744.ps tmp/4hh3i1483958744.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.106   0.109   2.245